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Advanced automation techniques in adaptive material processing / editors, XiaoQi Chen, Rajagopalan Devanathan, Aik Meng Fong.

Contributor(s): Chen, XiaoQi, 1963- | Devanathan, R. (Rajagopalan) | Fong, Aik MengMaterial type: TextTextPublication details: River Edge, N.J. : World Scientific, ©2002. Description: 1 online resource (xvii, 302 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9789812777775; 9812777776; 9789810249021; 9810249020Subject(s): Manufacturing processes -- Automation | Robotics | Welding -- Automation | Mechatronics | TECHNOLOGY & ENGINEERING -- Industrial Engineering | Manufacturing processes -- Automation | Mechatronics | Robotics | Welding -- AutomationGenre/Form: Electronic book. | Electronic books. Additional physical formats: Print version:: Advanced automation techniques in adaptive material processing.DDC classification: 670.42/7 LOC classification: TS183 | .A34 2002ebOnline resources: Click here to access online
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?
Summary: 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.
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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.

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