Advanced automation techniques in adaptive material processing /:
This volume presents the editors' research as well as related recent findings on the applications of modern technologies in electrical and electronic engineering to the automation of some of the common manufacturing processes that have traditionally been handled within the mechanical and materi...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
River Edge, N.J. :
World Scientific,
©2002.
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | This volume presents the editors' research as well as related recent findings on the applications of modern technologies in electrical and electronic engineering to the automation of some of the common manufacturing processes that have traditionally been handled within the mechanical and material engineering disciplines. In particular, the book includes the latest research results achieved through applied research and development projects over the past few years at the Gintic Institute of Manufacturing Technology, Singapore. It discusses advanced automation technologies such as in-process sens. |
| Beschreibung: | 1 online resource (xvii, 302 pages :) |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9789812777775 9812777776 9789810249021 9810249020 |
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| 245 | 0 | 0 | |a Advanced automation techniques in adaptive material processing / |c editors, XiaoQi Chen, Rajagopalan Devanathan, Aik Meng Fong. |
| 260 | |a River Edge, N.J. : |b World Scientific, |c ©2002. | ||
| 300 | |a 1 online resource (xvii, 302 pages :) | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Preface; Contents; Chapter 1 Overview of Material Processing Automation; 1. Constrained and Non-Constrained Material Processing; 2. Multi-Facet Mechatronic Automation; 3. Sensors for Material Processing; 3.1 Measurands in Material Processing; 3.2 Types of Sensors; 3.3 Microsensors and Soft Sensors; 4. Intelligent Control Techniques; 4.1 Conventional Computer Numerical Control; 4.2 Sensor Based Machine Tool Control; 4.3 Open Architecture and Distributed Control; 4.4 Intelligent Control and Computing Techniques; 4.5 Human-Machine Interface; References. | |
| 505 | 8 | |a Chapter 2 Process Development and Approach for 3D Profile Grinding/Polishing1. Introduction; 2. Profile Grinding and Polishing of Superalloys; 2.1 Superalloy Components and Manual Blending; 2.2 CNC Milling; 2.3 Wheel Grinding; 3. Force Control in Material Removal; 3.1 Robot Holding Tool; 3.2 Robot Holding Workpiece; 4. Model-Based Robotic Machining; 5. Part Variations and Process Dynamics; 6. System Concept of Adaptive Robotic Blending System; 6.1 A Mechatronic Approach; 6.2 Device and Process; 6.3 Knowledge-Based Process Control (KBPC); 6.4 Data-Driven Supervisory Control (DDSC). | |
| 505 | 8 | |a 6.5 System Layout and Working Cycle7. Process Optimisation; 7.1 Grinding/Polishing Process Parameters; 7.2 Tool Path Optimisation; 7.3 Tool Wear Compensation; 8. Concluding Remarks; References; Chapter 3 Adaptive Robotic System for 3D Profile Grinding/Polishing; 1. Introduction; 2. Finishing Robot and Control Interface; 2.1 Finishing Robot; 2.2 Self-Aligned End Effector; 2.3 Control Interface; 3. In-Situ Profile Measurement; 3.1 Off-Line versus In-Situ Approach; 3.2 Sensor Techniques; 3.3 Coordinate Transform; 4. Template-Based Optimal Profile Fitting; 4.1 Template Generation. | |
| 505 | 8 | |a 4.2 Profile Fitting Requirements4.3 A Fast Converging Minimisation Algorithm; 4.4 Software Development; 5. Adaptive Robot Path Planner; 5.1 Definition of Tool Path; 5.2 Derivation of End-Effector Orientation; 5.3 Generation of Tool Path; 6. Implementation of SMART 3D Blending System; 7. Results; 7.1 Dimension of Finish Profile; 7.2 Surface Roughness and Finish Quality; 7.3 Wall Thickness; 8. Concluding Remarks; References; Chapter 4 Acoustic Emission Sensing and Signal Processing for Machining Monitoring and Control; 1. Introduction; 2. Sensors in Machining Process Monitoring. | |
| 505 | 8 | |a 2.1 Motor Current & Power2.2 Force/Torque; 2.3 Vibration/Acceleration Signals; 2.4 Optical and Vision System; 3. Acoustic Emission Sensing; 3.1 Acoustic Emission Mechanism; 3.2 Acoustic Emission in Machining; 3.3 Acoustic Emission Sensors; 4. Advanced Signal Processing Techniques; 4.1 Time Domain Analysis; 4.2 Time Series Modelling; 4.3 Frequency Domain Analysis; 4.4 Time-Frequency Domain Analysis; 4.5 Wavelet Analysis; 5. Conclusions; References; Chapter 5 Techniques of Automatic Weld Seam Tracking; 1. Introduction to Weld Seam Tracking; 1.1 The Importance of Welding; 1.2 What is Welding? | |
| 520 | |a This volume presents the editors' research as well as related recent findings on the applications of modern technologies in electrical and electronic engineering to the automation of some of the common manufacturing processes that have traditionally been handled within the mechanical and material engineering disciplines. In particular, the book includes the latest research results achieved through applied research and development projects over the past few years at the Gintic Institute of Manufacturing Technology, Singapore. It discusses advanced automation technologies such as in-process sens. | ||
| 650 | 0 | |a Manufacturing processes |x Automation. |0 http://id.loc.gov/authorities/subjects/sh88004818 | |
| 650 | 0 | |a Robotics. |0 http://id.loc.gov/authorities/subjects/sh85114628 | |
| 650 | 0 | |a Welding |x Automation. |0 http://id.loc.gov/authorities/subjects/sh85146013 | |
| 650 | 0 | |a Mechatronics. |0 http://id.loc.gov/authorities/subjects/sh93001518 | |
| 650 | 2 | |a Robotics |0 https://id.nlm.nih.gov/mesh/D012371 | |
| 650 | 6 | |a Fabrication |x Automatisation. | |
| 650 | 6 | |a Robotique. | |
| 650 | 6 | |a Soudage |x Automatisation. | |
| 650 | 6 | |a Mécatronique. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Industrial Engineering. |2 bisacsh | |
| 650 | 7 | |a Manufacturing processes |x Automation |2 fast | |
| 650 | 7 | |a Mechatronics |2 fast | |
| 650 | 7 | |a Robotics |2 fast | |
| 650 | 7 | |a Welding |x Automation |2 fast | |
| 700 | 1 | |a Chen, XiaoQi, |d 1963- |0 http://id.loc.gov/authorities/names/no2015142599 | |
| 700 | 1 | |a Devanathan, R. |q (Rajagopalan) |0 http://id.loc.gov/authorities/names/n91088603 | |
| 700 | 1 | |a Fong, Aik Meng. | |
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| contents | Preface; Contents; Chapter 1 Overview of Material Processing Automation; 1. Constrained and Non-Constrained Material Processing; 2. Multi-Facet Mechatronic Automation; 3. Sensors for Material Processing; 3.1 Measurands in Material Processing; 3.2 Types of Sensors; 3.3 Microsensors and Soft Sensors; 4. Intelligent Control Techniques; 4.1 Conventional Computer Numerical Control; 4.2 Sensor Based Machine Tool Control; 4.3 Open Architecture and Distributed Control; 4.4 Intelligent Control and Computing Techniques; 4.5 Human-Machine Interface; References. Chapter 2 Process Development and Approach for 3D Profile Grinding/Polishing1. Introduction; 2. Profile Grinding and Polishing of Superalloys; 2.1 Superalloy Components and Manual Blending; 2.2 CNC Milling; 2.3 Wheel Grinding; 3. Force Control in Material Removal; 3.1 Robot Holding Tool; 3.2 Robot Holding Workpiece; 4. Model-Based Robotic Machining; 5. Part Variations and Process Dynamics; 6. System Concept of Adaptive Robotic Blending System; 6.1 A Mechatronic Approach; 6.2 Device and Process; 6.3 Knowledge-Based Process Control (KBPC); 6.4 Data-Driven Supervisory Control (DDSC). 6.5 System Layout and Working Cycle7. Process Optimisation; 7.1 Grinding/Polishing Process Parameters; 7.2 Tool Path Optimisation; 7.3 Tool Wear Compensation; 8. Concluding Remarks; References; Chapter 3 Adaptive Robotic System for 3D Profile Grinding/Polishing; 1. Introduction; 2. Finishing Robot and Control Interface; 2.1 Finishing Robot; 2.2 Self-Aligned End Effector; 2.3 Control Interface; 3. In-Situ Profile Measurement; 3.1 Off-Line versus In-Situ Approach; 3.2 Sensor Techniques; 3.3 Coordinate Transform; 4. Template-Based Optimal Profile Fitting; 4.1 Template Generation. 4.2 Profile Fitting Requirements4.3 A Fast Converging Minimisation Algorithm; 4.4 Software Development; 5. Adaptive Robot Path Planner; 5.1 Definition of Tool Path; 5.2 Derivation of End-Effector Orientation; 5.3 Generation of Tool Path; 6. Implementation of SMART 3D Blending System; 7. Results; 7.1 Dimension of Finish Profile; 7.2 Surface Roughness and Finish Quality; 7.3 Wall Thickness; 8. Concluding Remarks; References; Chapter 4 Acoustic Emission Sensing and Signal Processing for Machining Monitoring and Control; 1. Introduction; 2. Sensors in Machining Process Monitoring. 2.1 Motor Current & Power2.2 Force/Torque; 2.3 Vibration/Acceleration Signals; 2.4 Optical and Vision System; 3. Acoustic Emission Sensing; 3.1 Acoustic Emission Mechanism; 3.2 Acoustic Emission in Machining; 3.3 Acoustic Emission Sensors; 4. Advanced Signal Processing Techniques; 4.1 Time Domain Analysis; 4.2 Time Series Modelling; 4.3 Frequency Domain Analysis; 4.4 Time-Frequency Domain Analysis; 4.5 Wavelet Analysis; 5. Conclusions; References; Chapter 5 Techniques of Automatic Weld Seam Tracking; 1. Introduction to Weld Seam Tracking; 1.1 The Importance of Welding; 1.2 What is Welding? |
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Template-Based Optimal Profile Fitting; 4.1 Template Generation.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">4.2 Profile Fitting Requirements4.3 A Fast Converging Minimisation Algorithm; 4.4 Software Development; 5. Adaptive Robot Path Planner; 5.1 Definition of Tool Path; 5.2 Derivation of End-Effector Orientation; 5.3 Generation of Tool Path; 6. Implementation of SMART 3D Blending System; 7. Results; 7.1 Dimension of Finish Profile; 7.2 Surface Roughness and Finish Quality; 7.3 Wall Thickness; 8. Concluding Remarks; References; Chapter 4 Acoustic Emission Sensing and Signal Processing for Machining Monitoring and Control; 1. Introduction; 2. Sensors in Machining Process Monitoring.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">2.1 Motor Current & Power2.2 Force/Torque; 2.3 Vibration/Acceleration Signals; 2.4 Optical and Vision System; 3. Acoustic Emission Sensing; 3.1 Acoustic Emission Mechanism; 3.2 Acoustic Emission in Machining; 3.3 Acoustic Emission Sensors; 4. Advanced Signal Processing Techniques; 4.1 Time Domain Analysis; 4.2 Time Series Modelling; 4.3 Frequency Domain Analysis; 4.4 Time-Frequency Domain Analysis; 4.5 Wavelet Analysis; 5. Conclusions; References; Chapter 5 Techniques of Automatic Weld Seam Tracking; 1. Introduction to Weld Seam Tracking; 1.1 The Importance of Welding; 1.2 What is Welding?</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This volume presents the editors' research as well as related recent findings on the applications of modern technologies in electrical and electronic engineering to the automation of some of the common manufacturing processes that have traditionally been handled within the mechanical and material engineering disciplines. In particular, the book includes the latest research results achieved through applied research and development projects over the past few years at the Gintic Institute of Manufacturing Technology, Singapore. 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| id | ZDB-4-EBA-ocn614463630 |
| illustrated | Illustrated |
| indexdate | 2025-03-18T14:15:05Z |
| institution | BVB |
| isbn | 9789812777775 9812777776 9789810249021 9810249020 |
| language | English |
| oclc_num | 614463630 |
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| physical | 1 online resource (xvii, 302 pages :) |
| psigel | ZDB-4-EBA FWS_PDA_EBA ZDB-4-EBA |
| publishDate | 2002 |
| publishDateSearch | 2002 |
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| publisher | World Scientific, |
| record_format | marc |
| spelling | Advanced automation techniques in adaptive material processing / editors, XiaoQi Chen, Rajagopalan Devanathan, Aik Meng Fong. River Edge, N.J. : World Scientific, ©2002. 1 online resource (xvii, 302 pages :) text txt rdacontent computer c rdamedia online resource cr rdacarrier data file rda Includes bibliographical references and index. Print version record. Preface; Contents; Chapter 1 Overview of Material Processing Automation; 1. Constrained and Non-Constrained Material Processing; 2. Multi-Facet Mechatronic Automation; 3. Sensors for Material Processing; 3.1 Measurands in Material Processing; 3.2 Types of Sensors; 3.3 Microsensors and Soft Sensors; 4. Intelligent Control Techniques; 4.1 Conventional Computer Numerical Control; 4.2 Sensor Based Machine Tool Control; 4.3 Open Architecture and Distributed Control; 4.4 Intelligent Control and Computing Techniques; 4.5 Human-Machine Interface; References. Chapter 2 Process Development and Approach for 3D Profile Grinding/Polishing1. Introduction; 2. Profile Grinding and Polishing of Superalloys; 2.1 Superalloy Components and Manual Blending; 2.2 CNC Milling; 2.3 Wheel Grinding; 3. Force Control in Material Removal; 3.1 Robot Holding Tool; 3.2 Robot Holding Workpiece; 4. Model-Based Robotic Machining; 5. Part Variations and Process Dynamics; 6. System Concept of Adaptive Robotic Blending System; 6.1 A Mechatronic Approach; 6.2 Device and Process; 6.3 Knowledge-Based Process Control (KBPC); 6.4 Data-Driven Supervisory Control (DDSC). 6.5 System Layout and Working Cycle7. Process Optimisation; 7.1 Grinding/Polishing Process Parameters; 7.2 Tool Path Optimisation; 7.3 Tool Wear Compensation; 8. Concluding Remarks; References; Chapter 3 Adaptive Robotic System for 3D Profile Grinding/Polishing; 1. Introduction; 2. Finishing Robot and Control Interface; 2.1 Finishing Robot; 2.2 Self-Aligned End Effector; 2.3 Control Interface; 3. In-Situ Profile Measurement; 3.1 Off-Line versus In-Situ Approach; 3.2 Sensor Techniques; 3.3 Coordinate Transform; 4. Template-Based Optimal Profile Fitting; 4.1 Template Generation. 4.2 Profile Fitting Requirements4.3 A Fast Converging Minimisation Algorithm; 4.4 Software Development; 5. Adaptive Robot Path Planner; 5.1 Definition of Tool Path; 5.2 Derivation of End-Effector Orientation; 5.3 Generation of Tool Path; 6. Implementation of SMART 3D Blending System; 7. Results; 7.1 Dimension of Finish Profile; 7.2 Surface Roughness and Finish Quality; 7.3 Wall Thickness; 8. Concluding Remarks; References; Chapter 4 Acoustic Emission Sensing and Signal Processing for Machining Monitoring and Control; 1. Introduction; 2. Sensors in Machining Process Monitoring. 2.1 Motor Current & Power2.2 Force/Torque; 2.3 Vibration/Acceleration Signals; 2.4 Optical and Vision System; 3. Acoustic Emission Sensing; 3.1 Acoustic Emission Mechanism; 3.2 Acoustic Emission in Machining; 3.3 Acoustic Emission Sensors; 4. Advanced Signal Processing Techniques; 4.1 Time Domain Analysis; 4.2 Time Series Modelling; 4.3 Frequency Domain Analysis; 4.4 Time-Frequency Domain Analysis; 4.5 Wavelet Analysis; 5. Conclusions; References; Chapter 5 Techniques of Automatic Weld Seam Tracking; 1. Introduction to Weld Seam Tracking; 1.1 The Importance of Welding; 1.2 What is Welding? This volume presents the editors' research as well as related recent findings on the applications of modern technologies in electrical and electronic engineering to the automation of some of the common manufacturing processes that have traditionally been handled within the mechanical and material engineering disciplines. In particular, the book includes the latest research results achieved through applied research and development projects over the past few years at the Gintic Institute of Manufacturing Technology, Singapore. It discusses advanced automation technologies such as in-process sens. Manufacturing processes Automation. http://id.loc.gov/authorities/subjects/sh88004818 Robotics. http://id.loc.gov/authorities/subjects/sh85114628 Welding Automation. http://id.loc.gov/authorities/subjects/sh85146013 Mechatronics. http://id.loc.gov/authorities/subjects/sh93001518 Robotics https://id.nlm.nih.gov/mesh/D012371 Fabrication Automatisation. Robotique. Soudage Automatisation. Mécatronique. TECHNOLOGY & ENGINEERING Industrial Engineering. bisacsh Manufacturing processes Automation fast Mechatronics fast Robotics fast Welding Automation fast Chen, XiaoQi, 1963- http://id.loc.gov/authorities/names/no2015142599 Devanathan, R. (Rajagopalan) http://id.loc.gov/authorities/names/n91088603 Fong, Aik Meng. has work: Advanced automation techniques in adaptive material processing (Text) https://id.oclc.org/worldcat/entity/E39PCFCgF7YQPjCqQWJjPY3TXm https://id.oclc.org/worldcat/ontology/hasWork Print version: Advanced automation techniques in adaptive material processing. River Edge, NJ : World Scientific, ©2002 9810249020 9789810249021 (DLC) 2003269252 (OCoLC)51225221 |
| spellingShingle | Advanced automation techniques in adaptive material processing / Preface; Contents; Chapter 1 Overview of Material Processing Automation; 1. Constrained and Non-Constrained Material Processing; 2. Multi-Facet Mechatronic Automation; 3. Sensors for Material Processing; 3.1 Measurands in Material Processing; 3.2 Types of Sensors; 3.3 Microsensors and Soft Sensors; 4. Intelligent Control Techniques; 4.1 Conventional Computer Numerical Control; 4.2 Sensor Based Machine Tool Control; 4.3 Open Architecture and Distributed Control; 4.4 Intelligent Control and Computing Techniques; 4.5 Human-Machine Interface; References. Chapter 2 Process Development and Approach for 3D Profile Grinding/Polishing1. Introduction; 2. Profile Grinding and Polishing of Superalloys; 2.1 Superalloy Components and Manual Blending; 2.2 CNC Milling; 2.3 Wheel Grinding; 3. Force Control in Material Removal; 3.1 Robot Holding Tool; 3.2 Robot Holding Workpiece; 4. Model-Based Robotic Machining; 5. Part Variations and Process Dynamics; 6. System Concept of Adaptive Robotic Blending System; 6.1 A Mechatronic Approach; 6.2 Device and Process; 6.3 Knowledge-Based Process Control (KBPC); 6.4 Data-Driven Supervisory Control (DDSC). 6.5 System Layout and Working Cycle7. Process Optimisation; 7.1 Grinding/Polishing Process Parameters; 7.2 Tool Path Optimisation; 7.3 Tool Wear Compensation; 8. Concluding Remarks; References; Chapter 3 Adaptive Robotic System for 3D Profile Grinding/Polishing; 1. Introduction; 2. Finishing Robot and Control Interface; 2.1 Finishing Robot; 2.2 Self-Aligned End Effector; 2.3 Control Interface; 3. In-Situ Profile Measurement; 3.1 Off-Line versus In-Situ Approach; 3.2 Sensor Techniques; 3.3 Coordinate Transform; 4. Template-Based Optimal Profile Fitting; 4.1 Template Generation. 4.2 Profile Fitting Requirements4.3 A Fast Converging Minimisation Algorithm; 4.4 Software Development; 5. Adaptive Robot Path Planner; 5.1 Definition of Tool Path; 5.2 Derivation of End-Effector Orientation; 5.3 Generation of Tool Path; 6. Implementation of SMART 3D Blending System; 7. Results; 7.1 Dimension of Finish Profile; 7.2 Surface Roughness and Finish Quality; 7.3 Wall Thickness; 8. Concluding Remarks; References; Chapter 4 Acoustic Emission Sensing and Signal Processing for Machining Monitoring and Control; 1. Introduction; 2. Sensors in Machining Process Monitoring. 2.1 Motor Current & Power2.2 Force/Torque; 2.3 Vibration/Acceleration Signals; 2.4 Optical and Vision System; 3. Acoustic Emission Sensing; 3.1 Acoustic Emission Mechanism; 3.2 Acoustic Emission in Machining; 3.3 Acoustic Emission Sensors; 4. Advanced Signal Processing Techniques; 4.1 Time Domain Analysis; 4.2 Time Series Modelling; 4.3 Frequency Domain Analysis; 4.4 Time-Frequency Domain Analysis; 4.5 Wavelet Analysis; 5. Conclusions; References; Chapter 5 Techniques of Automatic Weld Seam Tracking; 1. Introduction to Weld Seam Tracking; 1.1 The Importance of Welding; 1.2 What is Welding? Manufacturing processes Automation. http://id.loc.gov/authorities/subjects/sh88004818 Robotics. http://id.loc.gov/authorities/subjects/sh85114628 Welding Automation. http://id.loc.gov/authorities/subjects/sh85146013 Mechatronics. http://id.loc.gov/authorities/subjects/sh93001518 Robotics https://id.nlm.nih.gov/mesh/D012371 Fabrication Automatisation. Robotique. Soudage Automatisation. Mécatronique. TECHNOLOGY & ENGINEERING Industrial Engineering. bisacsh Manufacturing processes Automation fast Mechatronics fast Robotics fast Welding Automation fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh88004818 http://id.loc.gov/authorities/subjects/sh85114628 http://id.loc.gov/authorities/subjects/sh85146013 http://id.loc.gov/authorities/subjects/sh93001518 https://id.nlm.nih.gov/mesh/D012371 |
| title | Advanced automation techniques in adaptive material processing / |
| title_auth | Advanced automation techniques in adaptive material processing / |
| title_exact_search | Advanced automation techniques in adaptive material processing / |
| title_full | Advanced automation techniques in adaptive material processing / editors, XiaoQi Chen, Rajagopalan Devanathan, Aik Meng Fong. |
| title_fullStr | Advanced automation techniques in adaptive material processing / editors, XiaoQi Chen, Rajagopalan Devanathan, Aik Meng Fong. |
| title_full_unstemmed | Advanced automation techniques in adaptive material processing / editors, XiaoQi Chen, Rajagopalan Devanathan, Aik Meng Fong. |
| title_short | Advanced automation techniques in adaptive material processing / |
| title_sort | advanced automation techniques in adaptive material processing |
| topic | Manufacturing processes Automation. http://id.loc.gov/authorities/subjects/sh88004818 Robotics. http://id.loc.gov/authorities/subjects/sh85114628 Welding Automation. http://id.loc.gov/authorities/subjects/sh85146013 Mechatronics. http://id.loc.gov/authorities/subjects/sh93001518 Robotics https://id.nlm.nih.gov/mesh/D012371 Fabrication Automatisation. Robotique. Soudage Automatisation. Mécatronique. TECHNOLOGY & ENGINEERING Industrial Engineering. bisacsh Manufacturing processes Automation fast Mechatronics fast Robotics fast Welding Automation fast |
| topic_facet | Manufacturing processes Automation. Robotics. Welding Automation. Mechatronics. Robotics Fabrication Automatisation. Robotique. Soudage Automatisation. Mécatronique. TECHNOLOGY & ENGINEERING Industrial Engineering. Manufacturing processes Automation Mechatronics Welding Automation |
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