Advances in Metal Forming

Advances in Metal Forming – Expert System for Metal Forming
Springer
Contents
1 Introduction. 1
1.1 Advances in Metal Forming 1
1.2 Deep Drawing Process 2
1.2.1 Influencing Factors 3
1.3 Development in Rolling 4
1.3.1 Classification of Rolling Processes 5
1.4 Advancement in Extrusion Process. 5
1.5 An Overview of Bending Process 7
1.6 Organisation of the Book 8
Reference 10
2 Enhancement in Expert System. 11
2.1 Expert Systems and Its Applications. 11
2.2 Deep Drawing Process 15
2.3 Recent Trends in Rolling 17
2.4 Development in Extrusion Process 19
2.5 Review of Bending Process. 21
2.6 Need of the Expert System 22
2.7 Objectives. 24
References 24
3 Fundamentals of Expert System 31
3.1 Introduction. 31
3.1.1 Web-Based Expert System 32
3.1.2 Knowledge Based Expert Systems. 33
3.1.3 Limitations of Expert Systems 34
3.1.4 Proposed Hierarchical Structure. 34
3.2 Background of Web Based Expert System 35
3.2.1 Expert Systems 35
3.2.2 Rationale for a Web-Based System 36
3.2.3 Web Manufacturing 37
xi3.2.4 System Architecture. 37
3.2.5 Active Platform Concept 38
3.2.6 Active Server, Active Client and ActiveX
Active Client 39
4 Design of Web Based Expert System. 41
4.1 Introduction 41
4.2 Java Servlets 41
4.3 Java Servlet Framework 42
4.3.1 HTTP Request 42
4.3.2 HTTP Response 43
4.4 Application Logic and Content Generation 43
4.5 Session Tracking and State Management. 44
4.6 Web Based Expert System Development Issues 44
4.6.1 Servlet Management 44
4.7 Architecture of Expert System 45
4.7.1 Single-Tier Architecture 45
4.7.2 Two-Tier Architecture 46
4.7.3 Three-Tier Architecture 46
4.8 Role of Servlets. 47
4.8.1 Databases 48
4.8.2 Application Logic 48
4.9 Basics of Web Based Expert System 50
4.9.1 Basic Terms and Concepts 50
4.9.2 Web Browser 50
4.9.3 The Web Server 51
4.9.4 Internet Protocols 51
4.9.5 Uniform Resource Locators 51
4.9.6 Hypertext Markup Language and Hyperlinks 52
4.9.7 Extension to Standard Web Browser Functionality. 52
4.10 Building of Web Based Expert System 53
4.10.1 Tools Selection 53
5 Implementation of Web Based Expert System for Deep
Drawing Process 57
5.1 Introduction 57
5.2 Shape Classified Geometries 57
5.2.1 Deep Drawing Process 58
5.2.2 Blank Size 59
5.2.3 Draw Ratio. 62
5.2.4 Radius of Draw Dies 63
5.2.5 Punch Radius 63
5.2.6 Draw Clearance 63
xii Contents5.3 Formulation of Rules for Deep Drawing Process 63
5.3.1 Failures in the Deep Drawing 64
6 Case Studies and Discussion 67
6.1 Introduction 67
6.2 Prediction of Forming Parameters in Deep Drawing Process 67
7 Summary and Future Scope 75
7.1 Summary 76
7.2 Knowledge Based Expert System. 76
7.3 Limitation of Expert Systems 77
7.4 Knowledge Acquisition 78
7.5 Future Research Direction. 79
Appendix A. 81
Appendix B. 87
Index
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