This comprehensive book offers a clear account of the theory and applications of advanced metal forming. It provides a detailed discussion of specific forming processes, such as deep drawing, rolling, bending extrusion and stamping. The author highlights recent developments of metal forming technologies and explains sound, new and powerful expert system techniques for solving advanced engineering problems in metal forming. In addition, the basics of expert systems, their importance and applications to metal forming processes, computer-aided analysis of metalworking processes, formability analysis, mathematical modeling and case studies of individual processes are presented.
Erscheinungsdatum: 19.09.2014

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Hingole, Rahulkumar Shivajirao

Springer Berlin Heidelberg : Imprint : Springer

Springer Spektrum. in Springer-Verlag GmbH

Steinkopff. in Springer-Verlag GmbH

Springer London, Limited

Springer Series in Materials Science, 206, Berlin, Heidelberg, 2015

Springer Series in Materials Science, 2014

Springer Nature, Berlin, 2015

2015, 2014-09-19

Germany, Germany

sm30238619

producers:
Acrobat Distiller 10.0.0 (Windows); modified using iText® 5.3.1 ©2000-2012 1T3XT BVBA (AGPL-version)

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Preface 7
Acknowledgments 8
Contents 9
About the Author 12
Nomenclature 13
1 Introduction 16
Abstract 16
1.1 Advances in Metal Forming 16
1.2 Deep Drawing Process 17
1.2.1 Influencing Factors 18
1.3 Development in Rolling 19
1.3.1 Classification of Rolling Processes 20
1.3.1.1 Cold Rolling 20
1.3.1.2 Hot Rolling 20
1.4 Advancement in Extrusion Process 20
1.5 An Overview of Bending Process 22
1.6 Organisation of the Book 23
Reference 25
2 Enhancement in Expert System 26
Abstract 26
2.1 Expert Systems and Its Applications 26
2.2 Deep Drawing Process 30
2.3 Recent Trends in Rolling 32
2.4 Development in Extrusion Process 34
2.5 Review of Bending Process 36
2.6 Need of the Expert System 37
2.7 Objectives 39
References 39
3 Fundamentals of Expert System 45
Abstract 45
3.1 Introduction 45
3.1.1 Web-Based Expert System 46
3.1.2 Knowledge Based Expert Systems 47
3.1.3 Limitations of Expert Systems 48
3.1.4 Proposed Hierarchical Structure 48
3.2 Background of Web Based Expert System 49
3.2.1 Expert Systems 49
3.2.2 Rationale for a Web-Based System 50
3.2.3 Web Manufacturing 51
3.2.4 System Architecture 51
3.2.5 Active Platform Concept 52
3.2.6 Active Server, Active Client and ActiveX Active Client 53
4 Design of Web Based Expert System 54
Abstract 54
4.1 Introduction 54
4.2 Java Servlets 54
4.3 Java Servlet Framework 55
4.3.1 HTTP Request 55
4.3.2 HTTP Response 56
4.4 Application Logic and Content Generation 56
4.5 Session Tracking and State Management 57
4.6 Web Based Expert System Development Issues 57
4.6.1 Servlet Management 57
4.7 Architecture of Expert System 58
4.7.1 Single-Tier Architecture 58
4.7.2 Two-Tier Architecture 59
4.7.3 Three-Tier Architecture 59
4.8 Role of Servlets 60
4.8.1 Databases 61
4.8.1.1 Connection Management 61
4.8.1.2 Manageability 61
4.8.2 Application Logic 61
4.8.2.1 Two-Tier Applications 61
4.8.2.2 The Client Tier 62
4.8.2.3 The Presentation Tier 62
4.8.2.4 The Middle Tier 62
4.9 Basics of Web Based Expert System 63
4.9.1 Basic Terms and Concepts 63
4.9.2 Web Browser 63
4.9.3 The Web Server 64
4.9.4 Internet Protocols 64
4.9.5 Uniform Resource Locators 64
4.9.6 Hypertext Markup Language and Hyperlinks 65
4.9.7 Extension to Standard Web Browser Functionality 65
4.9.7.1 ActiveX Controls 65
4.9.7.2 Java Applets 65
4.9.7.3 Server Side Technology 66
4.10 Building of Web Based Expert System 66
4.10.1 Tools Selection 66
4.10.1.1 Hardware Resource 67
4.10.1.2 Software Resources 67
5 Implementation of Web Based Expert System for Deep Drawing Process 69
Abstract 69
5.1 Introduction 69
5.2 Shape Classified Geometries 69
5.2.1 Deep Drawing Process 70
5.2.2 Blank Size 71
5.2.3 Draw Ratio 74
5.2.4 Radius of Draw Dies 75
5.2.5 Punch Radius 75
5.2.6 Draw Clearance 75
5.3 Formulation of Rules for Deep Drawing Process 75
5.3.1 Failures in the Deep Drawing 76
6 Case Studies and Discussion 78
Abstract 78
6.1 Introduction 78
6.2 Prediction of Forming Parameters in Deep Drawing Process 78
7 Summary and Future Scope 86
Abstract 86
7.1 Summary 87
7.2 Knowledge Based Expert System 87
7.3 Limitation of Expert Systems 88
7.4 Knowledge Acquisition 89
7.5 Future Research Direction 90
Appendix A 91
Appendix B 97
Index 125

Front Matter....Pages i-xix
Introduction....Pages 1-10
Enhancement in Expert System....Pages 11-29
Fundamentals of Expert System....Pages 31-39
Design of Web Based Expert System....Pages 41-55
Implementation of Web Based Expert System for Deep Drawing Process....Pages 57-65
Case Studies and Discussion....Pages 67-74
Summary and Future Scope....Pages 75-79
Back Matter....Pages 81-116

2014-11-10