Reverse engineering is the process of analyzing an existing system or product to identify its components and design in order to extract design details without prior documentation. It involves digitizing a physical object using 3D scanning techniques like contact methods, non-contact active methods, and non-contact passive methods to obtain point cloud data. This point cloud data is then processed to generate CAD models through techniques like polygonization and refinement. The final CAD models can then be used for applications like redesign, quality control, and rapid prototyping.
The document discusses the process of reverse engineering, including defining reverse engineering, its major steps, and applications. Reverse engineering involves scanning a physical product to create a digital CAD model without design documents. It has several purposes like redesigning components, reproducing obsolete products, or shortening development times. The key steps are scanning to capture point cloud data, processing points to reduce noise, and developing geometric models from the point data. Examples of reverse engineering various common products are also provided.
3d machine-vision-systems-paper-presentationChidananda M
ww
1) 3D machine vision systems have advanced to enable quantitative metrology applications on the shop floor. Technologies like laser scanning, structured light, and stereo viewing can provide measurements at sub-mil resolution and speeds sufficient for inspection.
2) Key challenges for 3D optical systems include varying surface finishes and textures that can scatter or diffuse light signals. Thorough testing on representative surfaces and features is important to validate measurement capabilities.
3) Comparisons to independent measurement methods help qualify new 3D vision systems, as traditional gauges may not provide the same level of capability or repeatability. Standard artifacts can verify optical measurements.
Reverse engineering is a systematic process of analyzing existing systems or products to understand their design or redesign them. It involves creating CAD models from physical objects using techniques like 3D laser scanning or CT scanning. Reverse engineering has applications in new product design, redesign of existing products, custom product design, and modifying physical models. It is an efficient approach to significantly reduce product development time by optimizing available resources and meeting customer requirements. The reverse engineering process includes data capturing, processing measured data, CAD modeling, and creating prototypes. Common digitizing techniques are contact methods using CMM and non-contact methods like laser scanning and CT scanning.
The document discusses the process of reverse engineering, which involves 4 main phases: 1) data acquisition using laser scanners, 2) preprocessing the data, 3) segmenting and adapting the scanned surface, and 4) creating the 3D model. Laser scanners are used to precisely and quickly acquire large amounts of data on an object's external shape through point clouds. Reverse engineering has applications in architecture, industrial/mechanical fields, criminology, accident reconstruction, healthcare, and more. The document also describes a visit from an expert who gave lessons to students on reverse engineering and demonstrated the use of a laser scanner.
3d Machine Vision Systems Paper Presentationguestac67362
ww
1) 3D machine vision systems have advanced to enable quantitative metrology applications on the shop floor. Technologies like laser scanning, structured light, and stereo vision can provide measurements in the sub-mil range at speeds of a few seconds.
2) Key factors for production use are measurement resolution in mils/sub-mils, speeds under a few seconds, and robustness to varying surface finishes and conditions. Technologies were tested on features like edges, textures, and spheres to evaluate performance.
3) Applications include industrial inspection, autonomous vehicles, transport safety, surveillance, remote sensing, and medical imaging. Continued improvements in computing, cameras, and light sources will further expand use of 3D machine
The document discusses reverse engineering techniques. It describes reverse engineering as generating a CAD model from an existing physical part to reconstruct it. There are contact-based methods like coordinate measuring machines and non-contact methods like 3D scanners. 3D scanners use light or lasers to scan objects and generate CAD designs without contact. Reverse engineering is used to manufacture replacement parts, redesign products lacking documentation, or create cheaper alternatives.
This document discusses 3D machine vision systems and their use as metrology tools on the shop floor. It provides an overview of different 3D machine vision technologies like laser scanning, structured light, and stereo viewing. It discusses their capabilities and limitations, as well as advances that have enabled more quantitative shop floor metrology applications. Key performance parameters for these systems include sub-mil resolution, measurement speeds of a few seconds, and ability to measure a wide range of surface finishes. The document also evaluates these systems through application testing and comparison to other measurement tools.
The document discusses reverse engineering, which involves duplicating an existing part without documentation by working backwards from the finished product. There are two main types of engineering: forward engineering, which moves from design to implementation, and reverse engineering. Reverse engineering has various applications and involves a three-phase process of scanning the object, processing the scan data, and developing a geometric model. Common scanning techniques include contact methods using probes and non-contact methods like laser scanning.
EXTREMELY LOW COST SCANNING SYSTEM FOR FREE FORM SURFACESijmech
Reverse engineering is the process of reconstructing a computer model for physical object based on 3D data point captured from the surface of the object. This work presents a low end and extremely cost effective technique for representing the free form surfaces of physical objects in a CAD model. An analogue signal was used to acquire the free form surface data unlike conventional methods like laser scanners or Coordinate Measurement Machines (CMM). The surface was scanned using a Linear Variable Differential Transducer, (LVDT) as position sensor for measuring the data from the surface of the object. The analogue signal was acquired through a data acquisition system in a continuous fashion to PC. Solid works CAD/CAM software was used to obtain the free form surface from the acquired 3D data using spline technique.
A dedicated system was constructed to collect data using vertical milling machine. The benefit of this scanning technique is the ability to scan the target free form surface of the physical object in the following aspect: cost effective scanning technique, low end acceptable accuracy, speed and ease of calibration. Special software was built to minimize the data acquired during the scanning operation for reducing modeling time.
Reverse engineering is the process of capturing geometric data from an existing object to build CAD models. It involves digitizing parts using a 3D scanner to collect raw point cloud data, then converting this into usable CAD formats. Various scanning technologies exist, including laser scanning, structured light scanning, and CT scanning. Laser scanning uses trigonometric triangulation to capture millions of 3D points, while structured light scanning is very fast but can miss internal or obscured features. The captured data can then be used to reproduce the original parts through 3D printing or modify the designs using CAD software.
The document discusses reverse engineering and provides details on the process. It is summarized as follows:
[1] Reverse engineering involves scanning a physical part to create a 3D CAD model and then manufacturing a new part. It is used to provide replacement parts when technical data is lost or to duplicate competitor's parts.
[2] The main steps are obtaining the part geometry through 3D scanning, identifying the material, generating a 3D CAD model, and manufacturing the new part. Geometry can be captured through contact methods like CMM or non-contact like 3D laser scanning. Material identification uses techniques like mass spectrometry and SEM.
[3] Once scanned, reverse engineering software converts the 3D image
Reverse Engineering of The Taj Mahal- An Abstract of The Project
The Taj Mahal at Agra, India is one of the wonders of the world. The Taj Mahal is Considered as World Heritage Site. The Taj Mahal is a Symbol of True Love.
The document describes a study that develops a program to obtain 3D point clouds from digital images without requiring specialized camera setup. The program analyzes images pixel-by-pixel within a user-defined area of interest. Reference points in the image area allow processing a limited region, reducing computation time. The program uses color values and edge detection to identify object pixels and represent them as point clouds. Sample images and their converted 3D models demonstrate the technique.
Sensors on 3 d digitization seminar reportVishnu Prasad
The document discusses sensors for 3D digitization. It describes two main strategies for 3D vision - passive vision which analyzes ambient light, and active vision which structures light using techniques like laser range cameras. It then discusses an auto-synchronized scanner that can provide registered 3D surface maps and color data by scanning a laser spot across a scene and detecting the reflected light with a linear sensor, producing registered images with spatial and color information.
1. Laser scanning was used to create a 3D virtual model of Jacobs Hall by taking point cloud data from 12 scan locations and stitching them together.
2. From the unified point cloud, a 3D model of the building was developed by introducing structural elements through best-fit techniques.
3. The model was then analyzed to check for any imperfections in structural members, and cross sections and plans were extracted from the model for visualization and structural analysis.
Build Your Own 3D Scanner:
Course Notes
http://mesh.brown.edu/byo3d/
SIGGRAPH 2009 Courses
Douglas Lanman and Gabriel Taubin
This course provides a beginner with the necessary mathematics, software, and practical details to leverage projector-camera systems in their own 3D scanning projects. An example-driven approach is used throughout; each new concept is illustrated using a practical scanner implemented with off-the-shelf parts. The course concludes by detailing how these new approaches are used in rapid prototyping, entertainment, cultural heritage, and web-based applications.
Automated Laser Scanning System For Reverse Engineering And InspectionJennifer Daniel
This document summarizes an automated laser scanning system developed for reverse engineering and inspection of parts with freeform surfaces. The system generates optimal scan plans considering parameters like view angle, depth of field, and occlusion. It uses a laser scanner mounted on a motorized rotary table to automatically scan parts according to the generated scan plans. The point data is then automatically registered and evaluated by comparing to CAD models. The system aims to automate the scanning process for more efficient inspection and reverse engineering of complex parts.
Build Your Own 3D Scanner:
Conclusion
http://mesh.brown.edu/byo3d/
SIGGRAPH 2009 Courses
Douglas Lanman and Gabriel Taubin
This course provides a beginner with the necessary mathematics, software, and practical details to leverage projector-camera systems in their own 3D scanning projects. An example-driven approach is used throughout; each new concept is illustrated using a practical scanner implemented with off-the-shelf parts. The course concludes by detailing how these new approaches are used in rapid prototyping, entertainment, cultural heritage, and web-based applications.
3D profiling uses a laser and camera to generate highly accurate 3D images of objects. It works by measuring the alteration of a fixed laser line projected onto an object from a camera at a known offset angle, generating thousands of profiles per second. This allows for extremely precise measurements of surface features, shapes, and defects at a micrometer level. 3D profiling is well suited for applications requiring non-contact measurement like quality control and inspection in manufacturing.
This document discusses various applications of lasers for optical alignment and tooling. It explains that lasers provide higher brightness than conventional light sources, making them visible from long distances. Both helium-neon and semiconductor diode lasers have been used for tooling applications such as determining displacement and establishing angles. Laser tooling requires only one operator and provides more consistent measurements between operators compared to conventional optical tooling.
The document summarizes a presentation on polymer innovation given by Dr. Ben Wood. It included the following agenda items: physical to digital scanning technologies and creating CAD files; digital to physical 3D printing and dealing with imperfect CAD files; low volume manufacturing and CAD software introduction; and an update on latest polymer technologies. The document provides details on various scanning methods, challenges with CAD files, 3D printer setup and support generation.
This document summarizes Schaeffer Precision Alignment's laser tracker services for inspecting steam turbines. They have experience inspecting hydro, gas, and steam turbines for over 260 clients. Their laser tracker technology allows precise inspection and alignment of individual turbine components. Inspections can locate components, monitor movement over time, and ensure reinstallation within tight tolerances. Schaeffer Precision Alignment provides a comprehensive solution for precision turbine maintenance and inspection.
NEW METHODS FOR TRIANGULATION-BASED SHAPE ACQUISITION USING LASER SCANNERS.pdfTrieuDoMinh
This document presents a thesis on new methods for triangulation-based 3D shape acquisition using laser scanners. It begins with an introduction to 3D metrology and laser scanners. The objectives of the thesis are then stated as developing new techniques for laser peak detection and scanner calibration. The remainder of the document describes existing approaches and the author's proposed new methods in detail across multiple chapters. Experimental results demonstrating the effectiveness of the new peak detection and calibration methods are also provided.
This document provides information on advances in metrology using laser technology. It discusses the principles and working of lasers, including spontaneous and stimulated emission. It describes applications of lasers such as laser interferometers, laser scanning gauges, and laser telemetric systems. It also covers coordinate measuring machines, the different types of CMMs, and probes used in CMMs like trigger probes and measuring probes. The document presents information concisely on various laser-based measurement techniques.
The document summarizes dimensional measurement methodologies and their applications. It categorizes common methods as either tactile or non-tactile, and describes examples of each including coordinate measuring machines, interferometry, laser scanning, and photogrammetry. Applications discussed include reverse engineering, quality assurance, medical, automotive, and user interfaces. The market for 3D metrology is projected to reach $10.9 billion by 2022. The document also discusses trends in the field and a vision for the future including more compact, mobile, and cloud-based solutions enabled by advances in components, processing, and artificial intelligence.
The document discusses reverse engineering, which involves duplicating an existing part without documentation by working backwards from the finished product. There are two main types of engineering: forward engineering, which moves from design to implementation, and reverse engineering. Reverse engineering has various applications and involves a three-phase process of scanning the object, processing the scan data, and developing a geometric model. Common scanning techniques include contact methods using probes and non-contact methods like laser scanning.
EXTREMELY LOW COST SCANNING SYSTEM FOR FREE FORM SURFACESijmech
Reverse engineering is the process of reconstructing a computer model for physical object based on 3D data point captured from the surface of the object. This work presents a low end and extremely cost effective technique for representing the free form surfaces of physical objects in a CAD model. An analogue signal was used to acquire the free form surface data unlike conventional methods like laser scanners or Coordinate Measurement Machines (CMM). The surface was scanned using a Linear Variable Differential Transducer, (LVDT) as position sensor for measuring the data from the surface of the object. The analogue signal was acquired through a data acquisition system in a continuous fashion to PC. Solid works CAD/CAM software was used to obtain the free form surface from the acquired 3D data using spline technique.
A dedicated system was constructed to collect data using vertical milling machine. The benefit of this scanning technique is the ability to scan the target free form surface of the physical object in the following aspect: cost effective scanning technique, low end acceptable accuracy, speed and ease of calibration. Special software was built to minimize the data acquired during the scanning operation for reducing modeling time.
Reverse engineering is the process of capturing geometric data from an existing object to build CAD models. It involves digitizing parts using a 3D scanner to collect raw point cloud data, then converting this into usable CAD formats. Various scanning technologies exist, including laser scanning, structured light scanning, and CT scanning. Laser scanning uses trigonometric triangulation to capture millions of 3D points, while structured light scanning is very fast but can miss internal or obscured features. The captured data can then be used to reproduce the original parts through 3D printing or modify the designs using CAD software.
The document discusses reverse engineering and provides details on the process. It is summarized as follows:
[1] Reverse engineering involves scanning a physical part to create a 3D CAD model and then manufacturing a new part. It is used to provide replacement parts when technical data is lost or to duplicate competitor's parts.
[2] The main steps are obtaining the part geometry through 3D scanning, identifying the material, generating a 3D CAD model, and manufacturing the new part. Geometry can be captured through contact methods like CMM or non-contact like 3D laser scanning. Material identification uses techniques like mass spectrometry and SEM.
[3] Once scanned, reverse engineering software converts the 3D image
Reverse Engineering of The Taj Mahal- An Abstract of The Project
The Taj Mahal at Agra, India is one of the wonders of the world. The Taj Mahal is Considered as World Heritage Site. The Taj Mahal is a Symbol of True Love.
The document describes a study that develops a program to obtain 3D point clouds from digital images without requiring specialized camera setup. The program analyzes images pixel-by-pixel within a user-defined area of interest. Reference points in the image area allow processing a limited region, reducing computation time. The program uses color values and edge detection to identify object pixels and represent them as point clouds. Sample images and their converted 3D models demonstrate the technique.
Sensors on 3 d digitization seminar reportVishnu Prasad
The document discusses sensors for 3D digitization. It describes two main strategies for 3D vision - passive vision which analyzes ambient light, and active vision which structures light using techniques like laser range cameras. It then discusses an auto-synchronized scanner that can provide registered 3D surface maps and color data by scanning a laser spot across a scene and detecting the reflected light with a linear sensor, producing registered images with spatial and color information.
1. Laser scanning was used to create a 3D virtual model of Jacobs Hall by taking point cloud data from 12 scan locations and stitching them together.
2. From the unified point cloud, a 3D model of the building was developed by introducing structural elements through best-fit techniques.
3. The model was then analyzed to check for any imperfections in structural members, and cross sections and plans were extracted from the model for visualization and structural analysis.
Build Your Own 3D Scanner:
Course Notes
http://mesh.brown.edu/byo3d/
SIGGRAPH 2009 Courses
Douglas Lanman and Gabriel Taubin
This course provides a beginner with the necessary mathematics, software, and practical details to leverage projector-camera systems in their own 3D scanning projects. An example-driven approach is used throughout; each new concept is illustrated using a practical scanner implemented with off-the-shelf parts. The course concludes by detailing how these new approaches are used in rapid prototyping, entertainment, cultural heritage, and web-based applications.
Automated Laser Scanning System For Reverse Engineering And InspectionJennifer Daniel
This document summarizes an automated laser scanning system developed for reverse engineering and inspection of parts with freeform surfaces. The system generates optimal scan plans considering parameters like view angle, depth of field, and occlusion. It uses a laser scanner mounted on a motorized rotary table to automatically scan parts according to the generated scan plans. The point data is then automatically registered and evaluated by comparing to CAD models. The system aims to automate the scanning process for more efficient inspection and reverse engineering of complex parts.
Build Your Own 3D Scanner:
Conclusion
http://mesh.brown.edu/byo3d/
SIGGRAPH 2009 Courses
Douglas Lanman and Gabriel Taubin
This course provides a beginner with the necessary mathematics, software, and practical details to leverage projector-camera systems in their own 3D scanning projects. An example-driven approach is used throughout; each new concept is illustrated using a practical scanner implemented with off-the-shelf parts. The course concludes by detailing how these new approaches are used in rapid prototyping, entertainment, cultural heritage, and web-based applications.
3D profiling uses a laser and camera to generate highly accurate 3D images of objects. It works by measuring the alteration of a fixed laser line projected onto an object from a camera at a known offset angle, generating thousands of profiles per second. This allows for extremely precise measurements of surface features, shapes, and defects at a micrometer level. 3D profiling is well suited for applications requiring non-contact measurement like quality control and inspection in manufacturing.
This document discusses various applications of lasers for optical alignment and tooling. It explains that lasers provide higher brightness than conventional light sources, making them visible from long distances. Both helium-neon and semiconductor diode lasers have been used for tooling applications such as determining displacement and establishing angles. Laser tooling requires only one operator and provides more consistent measurements between operators compared to conventional optical tooling.
The document summarizes a presentation on polymer innovation given by Dr. Ben Wood. It included the following agenda items: physical to digital scanning technologies and creating CAD files; digital to physical 3D printing and dealing with imperfect CAD files; low volume manufacturing and CAD software introduction; and an update on latest polymer technologies. The document provides details on various scanning methods, challenges with CAD files, 3D printer setup and support generation.
This document summarizes Schaeffer Precision Alignment's laser tracker services for inspecting steam turbines. They have experience inspecting hydro, gas, and steam turbines for over 260 clients. Their laser tracker technology allows precise inspection and alignment of individual turbine components. Inspections can locate components, monitor movement over time, and ensure reinstallation within tight tolerances. Schaeffer Precision Alignment provides a comprehensive solution for precision turbine maintenance and inspection.
NEW METHODS FOR TRIANGULATION-BASED SHAPE ACQUISITION USING LASER SCANNERS.pdfTrieuDoMinh
This document presents a thesis on new methods for triangulation-based 3D shape acquisition using laser scanners. It begins with an introduction to 3D metrology and laser scanners. The objectives of the thesis are then stated as developing new techniques for laser peak detection and scanner calibration. The remainder of the document describes existing approaches and the author's proposed new methods in detail across multiple chapters. Experimental results demonstrating the effectiveness of the new peak detection and calibration methods are also provided.
This document provides information on advances in metrology using laser technology. It discusses the principles and working of lasers, including spontaneous and stimulated emission. It describes applications of lasers such as laser interferometers, laser scanning gauges, and laser telemetric systems. It also covers coordinate measuring machines, the different types of CMMs, and probes used in CMMs like trigger probes and measuring probes. The document presents information concisely on various laser-based measurement techniques.
The document summarizes dimensional measurement methodologies and their applications. It categorizes common methods as either tactile or non-tactile, and describes examples of each including coordinate measuring machines, interferometry, laser scanning, and photogrammetry. Applications discussed include reverse engineering, quality assurance, medical, automotive, and user interfaces. The market for 3D metrology is projected to reach $10.9 billion by 2022. The document also discusses trends in the field and a vision for the future including more compact, mobile, and cloud-based solutions enabled by advances in components, processing, and artificial intelligence.
The document discusses the stages and goals of a design thinking workshop. It explains that the workshop focuses on sensitivity to user problems, generating ideas and solutions, and prototyping ideas. The stages include learning goals, pre-meeting preparation, setting the environment, developing activities, and providing study materials. The workshop involves introducing the problem, defining statements, testing ideas, prototyping, getting feedback, and closing. The goals are to help organizations solve problems, foster innovation and skills, and gain competitive advantages.
The document discusses innovation strategy and design thinking approaches to common business challenges. It first defines innovation strategy as having a common innovation mission and structured activities to support growth. It also outlines six key elements for a successful innovation strategy: a growth mission, focused portfolio, actionable plan, culture map, innovation capabilities, and an optional playbook. The document then presents five business challenges - growth, predictability, change, extreme competition, and culture - and proposes design thinking approaches to address each challenge: storytelling, strategic foresight, sensemaking, experience design, and rapid prototyping respectively. It concludes with multiple choice questions about the content.
Module-3_Design thinking in IT Industries.pdfvijimech408
The document discusses design thinking in the IT industry. It begins with definitions of information technology and the software development cycle. It then contrasts the traditional waterfall model of software development with the more modern agile methodology. Some key advantages of the agile methodology are that it allows for iterative development, frequent testing and feedback, and flexibility to changing requirements. The document notes that combining design thinking with agile practices can improve collaboration and help ensure teams are solving the right problems. It provides examples of how design thinking applies to areas like business process modeling and agile software development.
The document discusses various design thinking tools including visualization, empathy mapping, journey mapping, mind maps, rapid concept development, assumption testing, prototyping, storytelling, co-creation, and learning launches. It provides details on visualization, empathy mapping, journey mapping, mind maps, value chain analysis and why these tools are used. For empathy mapping, it describes the traditional four quadrant approach and provides an example. For journey mapping, it outlines the typical process. For mind maps, it highlights why they are used and provides an example mind map related to cultural events.
This document discusses design thinking and innovation. It begins by defining innovation, design, and thinking. It then discusses why design innovation is important, such as supporting creativity, solving problems, and meeting customer satisfaction. The document also covers the principles of design thinking, including that it involves both divergent and convergent thinking. Design thinking follows an iterative process involving understanding the problem, coming up with potential solutions, and refining the best solution. It emphasizes designing for human needs over following a strictly scientific method.
May 2025 - Top 10 Read Articles in Artificial Intelligence and Applications (...gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
This document provides information about the Fifth edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
This research presents a machine learning (ML) based model to estimate the axial strength of corroded RC columns reinforced with fiber-reinforced polymer (FRP) composites. Estimating the axial strength of corroded columns is complex due to the intricate interplay between corrosion and FRP reinforcement. To address this, a dataset of 102 samples from various literature sources was compiled. Subsequently, this dataset was employed to create and train the ML models. The parameters influencing axial strength included the geometry of the column, properties of the FRP material, degree of corrosion, and properties of the concrete. Considering the scarcity of reliable design guidelines for estimating the axial strength of RC columns considering corrosion effects, artificial neural network (ANN), Gaussian process regression (GPR), and support vector machine (SVM) techniques were employed. These techniques were used to predict the axial strength of corroded RC columns reinforced with FRP. When comparing the results of the proposed ML models with existing design guidelines, the ANN model demonstrated higher predictive accuracy. The ANN model achieved an R-value of 98.08% and an RMSE value of 132.69 kN which is the lowest among all other models. This model fills the existing gap in knowledge and provides a precise means of assessment. This model can be used in the scientific community by researchers and practitioners to predict the axial strength of FRP-strengthened corroded columns. In addition, the GPR and SVM models obtained an accuracy of 98.26% and 97.99%, respectively.
May 2025: Top 10 Read Articles Advanced Information Technologyijait
International journal of advanced Information technology (IJAIT) is a bi monthly open access peer-reviewed journal, will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the area advanced information technology applications and services. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of advanced IT. Core areas of advanced IT and multi-disciplinary and its applications will be covered during the conferences.
This study will provide the audience with an understanding of the capabilities of soft tools such as Artificial Neural Networks (ANN), Support Vector Regression (SVR), Model Trees (MT), and Multi-Gene Genetic Programming (MGGP) as a statistical downscaling tool. Many projects are underway around the world to downscale the data from Global Climate Models (GCM). The majority of the statistical tools have a lengthy downscaling pipeline to follow. To improve its accuracy, the GCM data is re-gridded according to the grid points of the observed data, standardized, and, sometimes, bias-removal is required. The current work suggests that future precipitation can be predicted by using precipitation data from the nearest four grid points as input to soft tools and observed precipitation as output. This research aims to estimate precipitation trends in the near future (2021-2050), using 5 GCMs, for Pune, in the state of Maharashtra, India. The findings indicate that each one of the soft tools can model the precipitation with excellent accuracy as compared to the traditional method of Distribution Based Scaling (DBS). The results show that ANN models appear to give the best results, followed by MT, then MGGP, and finally SVR. This work is one of a kind in that it provides insights into the changing monsoon season in Pune. The anticipated average precipitation levels depict a rise of 300–500% in January, along with increases of 200-300% in February and March, and a 100-150% increase for April and December. In contrast, rainfall appears to be decreasing by 20-30% between June and September.
Impurities of Water and their Significance.pptxdhanashree78
Impart Taste, Odour, Colour, and Turbidity to water.
Presence of organic matter or industrial wastes or microorganisms (algae) imparts taste and odour to water.
Presence of suspended and colloidal matter imparts turbidity to water.
Top Cite Articles- International Journal on Soft Computing, Artificial Intell...ijscai
International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing. The Journal looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
PREDICTION OF ROOM TEMPERATURE SIDEEFFECT DUE TOFAST DEMAND RESPONSEFOR BUILD...ijccmsjournal
In order to evaluate side-effect of power limitation due to the Fast Automated Demand Response
(FastADR) for building air-conditioning facilities, a prediction model on short time change of average
room temperature has been developed. A room temperature indexis defined as a weighted average of the
entire building for room temperature deviations from the setpoints. The index is assumed to be used to
divide total FastADRrequest to distribute power limitation commands to each building.In order to predict
five-minute-change of the index, our combined mathematical model of an auto regression (AR) and a
neural network (NN) is proposed.In the experimental results, the combined model showedthe root mean
square error (RMSE) of 0.23 degrees, in comparison with 0.37 and 0.26 for conventional single NN and AR
models, respectively. This result is satisfactory prediction for required comfort of approximately 1 degree
Celsius allowance.
New Microsoft Office Word Documentfrf.docxmisheetasah
Ad
Introduction to Reverse Engineering and also data formats using in Additive Manufacturing
1. DEPARTMENT OF INDUSTRIAL & PRODUCTION ENGINEERING www. jssstuniv.in
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(20IP653)
Module-4
AM & Reverse Engineering
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AM Data formats
Course Instructor
Vijay Praveen P M
Assistant Professor
Department of I&P Engg.
2. DEPARTMENT OF INDUSTRIAL & PRODUCTION ENGINEERING www. jssstuniv.in
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SYLLABUS
AM & Reverse Engineering: Basic Concept –
Digitization techniques – Model Reconstruction –
Data Processing for Additive Manufacturing
Technology, concept of Reverse Engineering, nature
and characteristics.
AM Data formats: STL Format, STL File Problems,
Consequence of Building Valid and Invalid Tessellated
Models, STL file Repairs. AM Software‘s: Need for AM
software, Features of various AM software.
3. DEPARTMENT OF INDUSTRIAL & PRODUCTION ENGINEERING www. jssstuniv.in
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Basic Concept
Engineering is the process of designing, manufacturing,
assembling, and maintaining products and systems. There are two
types of engineering, forward engineering and reverse
engineering.
Forward engineering is the traditional process of moving from
high-level abstractions and logical designs to the physical
implementation of a system.
Reverse engineering is the process of duplicating an existing part,
sub-assembly, or product, without drawings, documentation, or a
computer model. It is also defined as the process of obtaining a
geometric CAD model from 3-D points acquired by scanning/
digitizing existing parts/products.
14. DEPARTMENT OF INDUSTRIAL & PRODUCTION ENGINEERING www. jssstuniv.in
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Following are some of the reasons for using reverse engineering:
➢ The original manufacturer no longer exists, but a customer
needs the product, e.g., aircraft spares required typically after
an aircraft has been in service for several years.
➢ The original product design documentation has been lost or
never existed.
➢ Creating 3-D data from an individual, model or sculpture to
create, scale, or reproduce artwork.
➢ Some bad features o a product need to be eliminated e.g.,
excessive wear might indicate where a product should be
improved.
➢ Strengthening the good features of a product based on long-
term usage.
➢ Analyzing the good and bad features of competitor's products.
➢ Generating data to create dental or surgical prosthetics, tissue
engineered body parts, or for surgical planning.
16. DEPARTMENT OF INDUSTRIAL & PRODUCTION ENGINEERING www. jssstuniv.in
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DIGITIZATION TECHNIQUE
Contact data acquisition obtains data using a contact
measuring process.
Contact means that the measuring probe touches the
recovery surface of objects during the data acquisition. The
devices include joined arms and CMMs. Destructive and non-
destructive methods are used in contact measuring process.
Non-Contact data acquisition technology uses an energy
source, such as laser, white light, microwave, radar, and
ultrasonic sound, to obtain 3D data of an object without
touching the surface of objects in the measurement. There
are two techniques used to receive signals of the energy
source from measured surface: reflective and transmissive
methods.
27. DEPARTMENT OF INDUSTRIAL & PRODUCTION ENGINEERING www. jssstuniv.in
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➢ Here a high energy light source is focused and
projected at a pre-specified angle(θ) onto the surface
of an object.
➢ A photosensitive device senses the reflection from the
illuminated point on the surface.
➢ Because the fixed baseline length (L) between the light
source and the camera is known from calibration,
using geometric triangulation from the known angle (θ
), the focal length of the camera (F), the image
coordinate of the illuminated point (P), and fixed
baseline length (L), the position of the illuminated
point (Pi) with respect to the camera coordinate
system can be calculated as follows ;
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Structured Light
In structured-light techniques a light pattern is
projected at a known angle onto the surface of
interest and an image of the resulting pattern,
reflected by the surface, is captured. The image is
then analyzed to calculate the coordinates of the
data point on the surface. A light pattern
can be;
(i) a single point.
(ii) a sheet of light (line)
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➢ The most commonly used pattern is a sheet of light that is
generated by fanning out a light beam. When a sheet of light
intersects an object, a line of light is formed along the contour of
the object. This line is detected and the X,Y,Z coordinates of
hundreds of points along the line are simultaneously calculated by
triangulation.
➢ The sheet of light sweeps the object as the linear slide carrying the
scanning system moves it in the X direction while a sequence of
images is taken by the camera in discrete steps. An index number k
is assigned to each of the images in the order they are taken.
Therefore, each k corresponds to the X position of the sheet of
light.
➢ To improve the capturing process, a light pattern containing
multiple strips is projected onto the surface of an object. To
distinguish between different strips, they must be coded
approximately so that the correspondence problem is solved
without ambiguity
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Non-Contact Methods - Optical
Techniques
➢ Interferometry (Moiré Effects)
➢ The interferometry technique is well known in dimensional
inspection as well as in flatness and deformation
measurements, in which structured- light patterns are
projected onto a surface to produce shadow Moiré effects.
➢ The light contours produced by moiré effects are captured in
an image and analyzed to determine distances between the
lines.
➢ This distance is proportional to the height of the surface at
the point of interest, and so the surface coordinates can be
calculated.
➢ The moiré technique gives accurate results for 3-D
reconstruction and measurement of small objects and
surfaces. However, it has limitations for larger objects because
precision is sacrificed for range.
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Time of Flight
➢ The principle behind TOF is to measure the amount of time (t)
that a light pulse (i.e., laser electromagnetic radiation) takes
to travel to the object and return. Because the speed of light
(C) is known, it is possible to determine the distance traveled.
➢ The distance (D) of the object from the laser would then be
equal to approximately one half of the distance the laser
pulse traveled.
➢ D=C * t/2
➢ For all practical purposes, the angle is very small and thus has
no effect on the accuracy of the TOF distance measurement.
The high velocity of light allows TOF scanners to make
hundreds, or even thousands of measurements per second.
The advantage of TOF techniques is that they can digitize
large, distant objects such as buildings and bridges.
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Coherent Laser Radar
➢ The system operates by using a sensor to direct a focused
invisible infrared laser beam to a point and coherently
processes the reflected light.
➢ As the laser light travels to and fro from the target, it also
travels through a reference path of calibrated optical fiber in
an environmentally controlled module.
➢ The two paths are combined to determine the absolute
range to the point.
➢ A very wide laser-modulation bandwidth (100 GHz) makes
precise measurement possible on a millisecond timescale.
The distance measurement is then combined with positional
information from two precision encoders to determine a
point on a surface in space. They can measure large-scale
geometry precisely.
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Computerized tomography
➢ CT is a powerful transmissive approach for 3-D
reconstruction. CT has revolutionized the medical diagnostic
field. It has also been called as computerized axial
tomography (CAT) or computerized transaxial tomography
(CTAT) or digital axial tomography (DAT).
➢ CT is a nondestructive method that allows three-dimensional
visualization of the internals of an object.
➢ CT provides a large series of 2-D X-ray cross-sectional images
taken around a single rotational axis. By projecting a thin X-
ray or Y-ray beam through one plane of an object from many
different angles and measuring the amount of radiation that
passes through the object along various lines of sight, a map
of attenuation coefficients (a density map or cross- sectional
image) for the scanned surface is reconstructed.
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➢Magnetic Resonance Imaging (MRI)
➢ MRI is a state-of-the-art imaging technology that uses magnetic
fields and radio waves to create high-quality, cross-sectional
images of the body without using radiation. When hydrogen
protons in the human body are placed in a strong magnetic field,
by sending in (and stopping) electromagnetic radio-frequency
pulses, these protons emit signals.
➢ These signals are collected and processed to construct cross-
sectional images. Compared to CT, MRI gives superior quality
images of soft tissues such as organs, muscle, cartilage,
ligaments, and tendons in many parts of the body.
➢ CT and MRI are powerful techniques for medical imaging and
reverse engineering applications; however, they are the most
expensive in terms of both hardware and software for data
processing.
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Model Reconstruction
The 3D model construction by reverse engineering falls into two
categories:
➢ . Surface reconstruction
➢ Solid model reconstruction
The 3D Surface reconstruction techniques are intended to
extract only the geometric information from the measured point
cloud and are commonly used in computer graphics and
computer vision.
The 3D Solid model reconstruction techniques are expected to
extract the geometric as well as the topological information
from the measured point cloud and has application in the field
of CAD/CAM.
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The primary technologies to transform a point cloud data
set obtained by scanning into a CAD modeling are based
on the formation of either a triangular polyhedral mesh
or pieces of segments that fit in the model.
The method of triangular polyhedral mesh is to first
construct a triangular mesh to capture the part
topological features based on the point cloud data.
It is an approximation presentation of surfaces and other
geometric features with triangles. Increasing the number
of triangles will yield a better presentation of the surface,
but will increase the file size at the same time. The
software file for triangulation is usually written in the
Standard Triangulation Language (STL), frequently
referred to as STL format.
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➢ The triangular mesh will subsequently be polished up to
reduce the redundant vertices (connected points) and
smooth the surface curvatures to meet the design
requirements. In the initial point cloud data collection and
intense data are often overlapped to ensure complete
coverage of the subject part.
➢ An appropriate processing of these raw data by
reorientation, realignment, removal, and addition of patch
is essential.
➢ In the segment approach, the initial point cloud data are
segmented into patches with defined boundaries. These
discrete surface patches will subsequently be smoothed by
appropriate mathematical modeling, such as parametric
modeling, quadric functions, or NURBS. Each patch will
then be fit into a region of the part surface to build the
simulated model.
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AM DATA FORMAT
STL FORMAT
➢ Representation methods used to describe CAD geometry vary from one
system to another. A standard interface is needed to convey geometric
descriptions from various CAD packages to rapid prototyping systems.
The STL (STereoLithography)
➢ The STL file [1–3], conceived by the 3D Systems, USA, is created from
the CAD database via an interface on the CAD system.
➢ This file consists of an unordered list of triangular facets representing
the outside skin of an object. There are two formats to the STL file. One
is the ASCII format and the other is the binary format. The size of the
ASCII STL file is larger than that of the binary format but is human
readable.
➢ In a STL file, triangular facets are described by a set of X, Y and Z
coordinates for each of the three vertices and a unit normal vector
with X, Y and Z to indicate which side of facet is an object.
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Because the STL file is a facet model derived from precise CAD models, it
is, therefore, an approximate model of a part. Besides, many commercial
CAD models are not robust enough to generate the facet model (STL
file) and frequently have problems.
there are several advantages of the STL file. First,
➢ it provides a simple method of representing 3D CAD data.
➢ Second, it is already a de facto standard and has been used by most
CAD systems and rapid prototyping systems. Finally, it can provide
small and accurate files for data transfer for certain shapes.
On the other hand, several disadvantages of the STL file exist.
➢ First, the STL file is many times larger than the original CAD data file
for a given accuracy parameter. The STL file carries much redundancy
information such as duplicate vertices and edges
➢ Second, the geometry flaws exist in the STL file because many
commercial tessellation algorithms used by CAD vendor today are not
robust. This gives rise to the need for a “repair software” which slows
the production cycle time.
➢ Finally, the subsequent slicing of large STL files can take many hours.
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STL FILE PROBLEMS
• The underlying problem is due, in part, to the difficulties
encountered in tessellating trimmed surfaces, surface
intersections and controlling numerical errors.
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1.Missing Facets or Gaps
Tessellation of surfaces with large curvature
can result in errors at the intersections
between such surfaces, leaving gaps or holes
along edges of the part model [8]. A surface
intersection anomaly which results in a gap
is shown in Figure
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2. Degenerate Facets
➢ A geometrical degeneracy of a facet occurs when all of the facets’ edges are
collinear even though all its vertices are distinct. This might be caused by
stitching algorithms that attempt to avoid shell punctures as shown in Figure
6.4(a)
➢ The resulting facets generated, shown in Figure 6.4(b), eliminate the shell
punctures. However, this is done at the expense of adding a degenerate facet.
While degenerate facets do not contain valid surface normals, they do represent
implicit topological information on how two surfaces mated. This important
information is consequently stored prior to discarding the degenerate facet.
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3. Overlapping Facets
Overlapping facets may be generated due to numerical
round-off errors occurring during tessellation.
The vertices are represented in 3D space as floating point
numbers instead of integers. Thus the numerical round-
off can cause facets to overlap if tolerances are set too
liberally. An example of an overlapping facet is illustrated
in Figure
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4.Non Manifold Conditions
There are three types of non-manifold conditions, namely:
(1) A non-manifold edge.
(2) A non-manifold point.
(3) A non-manifold face.
These may be generated because tessellation of the fine
features are susceptible to round-off errors. An illustration of
a non-manifold edge is shown in Figure 6.6(a).
Here, the non-manifold edge is actually shared by four
different facets as shown in Figure 6.6(b).
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A valid model would be one whose facets have only an
adjacent facet each, that is, one edge is shared by two
facets only.
Hence the non-manifold edges must be resolved such
that each facet has only one neighboring facet along
each edge, that is, by reconstructing a topologically
manifold surface [4]. In Figures 6.6(c) and 6.6(d), two
other types of non- manifold conditions are shown fig
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A valid Model
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Invalid Model
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Additive Manufacturing software
• 1. Ansys
• 2. Autodesk Netfabb
• 3. 3dSystems
• 4. Siemens NX AM
• 5. Materialise Magics
• 6. Solid Edge
• 7. Amphyon
• 8. Genoa 3d simulation
• 9. Additive Lab
• 10. 3yourmind
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• . Ansys
• Ansys Additive Manufacturing Solutions (AMS) is a comprehensive suite of
software tools that enable engineers to design, optimize and validate parts and
assemblies for additive manufacturing.
• Using it, engineers can predict how a part will perform when printed using
various additive manufacturing processes, identify potential problems early in
the design process and make changes to avoid them.
• Features include
• Process simulation: By using process simulation for metal Powder Bed Fusions,
Directed Energy, Deposition, and Metal Binder jets, users can identify and
minimize the risk of build errors and ensure high-quality parts.
• Topology optimization: Ansys Topology Optimization produces design insights
in real-time, which drives lightweight design possibilities faster. That helps
reduce waste and increase efficiency while still meeting design requirements.
• Printability checking: The software checks for potential problems that could
occur during the additive manufacturing process, such as porosity or
delamination.
• Data acquisition and management: Ansys AMS helps manage the data
associated with additive manufacturing, including process settings, build files,
and post-processed data.
• Structural analysis: The software includes tools for analyzing the structural
integrity of additively manufactured parts.
• Directed energy deposition: Ansys AMS supports the Directed Energy
Deposition process, which builds parts with complex geometries.
•
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• 2. Autodesk Netfabb
• Autodesk Netfabb is a powerful, industrial-grade 3D printing software that
helps files get printed by automatically preparing, repairing, and optimizing
them for output.
• It provides users with various options for printing in different scales and
resolution levels, supports STL, OBJ, and AMF file formats, and can even
generate Gcode. With its easy-to-use interface and comprehensive
features, Autodesk Netfabb is an essential tool for anybody working with
3D printing.
• Features include
• Automatic file preparation: Autodesk Netfabb automatically prepares 3D
printing files for output, including repairing, cleaning, and orienting them.
• Support for multiple file formats: The software supports STL, OBJ, and AMF
file formats, as well as Gcode.
• Wide range of printing options: Autodesk Netfabb offers users a wide
range of options for printing in different scales and resolution levels.
• Selective structures: Solid volumes may be filled with custom structures to
produce distinctive material properties for your component.
• Optimization: It assures a maximal load capacity and reduces weight by
automatically verifying and modifying lattice and skin elements
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• 3. 3dSystems
• It is a suite of software tools for designing and engineering parts for
additive manufacturing (3D printing) on 3D Systems printers. It allows
users to create and edit 3D models, slice them into layers for printing,
and control the printing process.
• Its ADII is a machine designed with 3D Systems’ additive manufacturing
software. It can print parts in multiple colors and materials and has a
build volume of 10x10x10 inches.
• Features
• Rapid prototyping: helps users quickly design and prototype parts for
additive manufacturing.
• Multi-material printing: 3D Systems’ additive manufacturing solution
supports printing parts in multiple colors and materials.
• Connectivity: With an easily scalable, adaptable system, it adapts to
rapid material and printing technology progress.
• Requirement-driven orientation: It orients your part to the build
orientation that will minimize support material and build time.
• Direct metal printing: It offers outstanding build quality for direct metal
printing with a broad range of alloys, metals, and plastics.
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4. Siemens NX AM
Siemens NX, the additive manufacturing software, is a
computer-aided design and manufacturing software
that enables users to create, edit, and mill 3D models.
Companies can use the software in the aerospace,
automotive, and medical industries.
Additionally, the Siemens NX system is equipped with
powerful analysis tools, which makes it possible to
verify designs before they are sent to production.
Features
Integrated build tools: Siemens NX AM builds
preparation tools assist with efficiently placing,
orienting, and supporting components in the build tray.
Structure Validation: It allows the designer to check for
printability and then simulate the part’s performance in
the field using integrated tools to produce production-
ready components.
Quality and analytics: It allows you to keep track of the
additive manufacturing process, examine the resulting
data, and make improvements to parts and functions.
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• 6. Solid Edge
• Solid edge is a complete product development portfolio by Seimens. It is easy
to use, deploy and maintain and provides software tools for all aspects of the
product development process, such as 3D design, simulation, manufacturing,
and data management.
• Features
• 3D design – It provides many capabilities, including synchronous technology,
sheet metal design, modular plant design, CAD drawing, and assembly
modeling & management.
• Electrical design – Designs and simulates electrical systems and analyzes
models to calculate exact wire length
• Simulation – Provides capabilities like assembly design, digital validation, and
finite element analysis.
• Data management – CAD data management solution enables you to secure
and control your product data and process. Shares product information and
collaborates.
• 3D printing – Design and 3D print your products.
• 2D drafting – Generates high-quality 2D drawings, simple drawing layouts,
diagramming, and annotation.
• Computer-Aided Manufacturing – Allows manufacturers to use new
manufacturing processes like CNC machining, nesting, cutting, bending,
molding, etc.
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• 7. Amphyon
• It is especially known for metal additive manufacturing (LBM, SLM, DMLS, Metal
3D Printing). It is simulation-based process preparation software.
• Features
• Examiner – optimizes applications based on analyzing and evaluating required
support volume build time, surface accessibility, distortion sensitivity, and post-
processing effort for every orientation.
• Supports – Creates optimized support structures.
• Mechanical process simulation – Calculates the residual stress and distortion
fields on regular desktop hardware.
• Thermal process simulation – Calculates temperature history and field on regular
desktop hardware.
• Predeformation – solution to pre-compensate residual distortions
• Integration with any brand of 3d printer
• Automates all the processes such as order, material, part import, orientation,
support, nesting, and slicing,
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• 8. Additive Lab
• It is a metal additive manufacturing software and provides
simulation technology that helps to predict metal-
deposition AM processes. In addition, it offers complete
access to all its features through a Python scripting
interface.
• Features
• Mechanical analysis
• Thermal analysis
• Customization of simulations
• Powder Bed Additive Manufacturing
• Direct Energy Deposition processes
• Scanning pattern analysis
• Melt pool analysis
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• 10. 3yourmind
• 3yourmind is AM workflow software solution that provides
additive manufacturing strategies to many industries,
including oil and gas, defense, aerospace, medical,
automotive, railway, and machine & tooling.
• Features
• CAD integration
• API integration
• Inventory analysis
• Centralized data storage
• Orientation optimization
• AM part identification
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Need of AM software
• In order to modelling
• For optimization of the product
• To convert 3D to STL file format
• To simulate 3D printing process before
physical print
• To fix the error in STL file
• To monitor the printing process
• To store the database during printing
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Important Questions
1. Explain basic steps involved in Reverse Engineering
2. What is the importance of Reverse Engg.
3. What are the types of Digitization Techniques explain
contact type techniques and its types.
4. Write a note on non contact types digitization Technique
5. Explain any 3 types of optical type Digitization technique
6. Discuss concept of model Reconstruction in reverse
engineering
7. What are the errors occurred in STL file explain.
8. Write a note on Valid and Invalid model
9. Write a note on AM software