Automatic Supervision in Manufacturing

Automation is a predominant objective in the development of modern and advanced manufacturing production. Automatic Supervision in Manufacturing (ASM) addresses unavoidable disturbances occurring during production. Its application results in the unmanned functioning of manufacturing systems through comprehensive and reliable supervision. Automatic Supervision in Manufacturing is a collection of contributions written by specialists in the field from Europe and the USA. It deals with the concept of automatic supervision, the classification of supervisory systems and their functions. This publication will be of great interest to researchers and engineers in the areas of production and manufacturing.

Inhalt

1. Principles of Automatic Supervision in Manufacturing and Classification of Supervisory Systems.- 1.1 Introduction.- 1.2 Quality of Products and Quality of Production.- 1.3 Disturbances, Adaptation and Supervision.- 1.4 Classification of Disturbances and Supervisory Functions.- 1.5 Monitoring, Diagnosing, Supervising.- 1.6 Automatic Supervisory Systems.- 1.7 Monitoring and Measurements.- 1.8 Supervisory Actions and Control Strategy.- References.- 2. Automatic Supervision in Turning and Boring.- 2.1 Introduction.- 2.2 Control of the Machining Process.- 2.3 Future Needs and Developments.- Further Reading.- 3. Automatic Supervision in Milling.- 3.1 Introduction: Basic Formulations.- 3.2 General Discussion.- 3.3 Description of Individual Systems.- References.- 4. Automatic Supervision of Surface Grinding.- 4.1 Introduction.- 4.2 Quality Parameters and Closed-loop Quality Control of Precision Machining.- 4.3 High-accuracy Closed-loop Position Control for the Feed Axis of a CNC Surface-grinding Machine.- 4.4 In-process Testing of Workpiece Geometry.- 4.5 In-process Eddy Current Crack Testing.- 4.6 Diagnosis of Working Ability.- 4.7 Outlook: Manufacturing with Closed-loop Quality Control.- 4.8 Summary.- Further Reading.- 5. Automatic Supervision in Physical and Chemical Machining.- 5.1 Physical and Chemical Machining Processes.- 5.2 Needs for Automatic Control in P&C Machining.- 5.3 Control Loops in P&C Machining.- 5.4 Adaptive Control in P&C Machining.- 5.5 Conclusion.- References.- 6. Automatic Supervision in Metal-forming.- 6.1 Introduction.- 6.2 Influence of Press Type on Supervisory Action.- 6.3 Working Cycle Supervision.- 6.4 Case Study: Backward Extrusion.- References.- 7. Assembly Process Supervision within Flexible Automatic Assembly Systems.- 7.1 Introduction.- 7.2Background Work.- 7.3 General Description of the Error Types.- 7.4 The Process.- 7.5 Error Detection and Analysis.- 7.6 Error Recovery.- References.- Further Reading.- 8. Automatic Supervision of Machine Tools.- 8.1 Introduction.- 8.2 Generic Structure of ASMT.- 8.3 Generation of Prognostic Parameters.- 8.4 System and Signal Analysis.- 8.5 Example ASMT Systems.- 8.6 Examples of Signal and System Analysis.- 8.7 Conclusions.- Acknowledgments.- References.- 9. Automatic Supervision of Control Systems.- 9.1 Diagnosis.- 9.2 Diagnosis Processes.- 9.3 Teleservice System for Machine Tools with ISDN.- 9.4 Use of Expert Systems.- References.- 10. Signal Processing for Automatic Supervision.- 10.1 Background on the Developing Needs of Sensors and Signal Processing in Manufacturing Automation.- 10.2 Signal Processing, Feature Extraction and Sensor Fusion.- 10.3 Applications of Signal Processing and Sensor Fusion.- 10.4 New Signal Processing Techniques for Automatic Supervision.- 10.5 Conclusion.- Acknowledgements.- References.- 11. Geometrical Adaptive Control of Manufacturing Systems.- 11.1 Introduction.- 11.2 Quality of Machined Parts.- 11.3 Transformation of the Parameters of Geometric Quality during Machining.- 11.4 Quantitative Description of the Geometrical Quality of a Part.- 11.8 Conclusions.- References.- Glossary: Terms, Abbreviations and Definitions.- M. Szafarczyk.