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E-grāmata: Collaborative Product Assembly Design and Assembly Planning: Methodologies and Applications

, (National University of Singapore (NUS), Singapore),
  • Formāts: EPUB+DRM
  • Izdošanas datums: 12-Jul-2011
  • Izdevniecība: Woodhead Publishing Ltd
  • Valoda: eng
  • ISBN-13: 9780857093882
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Collaborative Product Assembly Design and Assembly Planning: Methodologies and ApplicationsPalielināt
  • Formāts: EPUB+DRM
  • Izdošanas datums: 12-Jul-2011
  • Izdevniecība: Woodhead Publishing Ltd
  • Valoda: eng
  • ISBN-13: 9780857093882
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This book presents several newly-developed methodologies and applications for collaborative assembly design and assembly planning. Product assembly design and assembly planning are two important steps during the product development life cycle. These benefits include effective and rapid assembly design and assembly planning, thereby reducing the development cost and helping manufacturers enhance profit. With increased development in computer technologies and the Internet, the traditional assembly design and assembly planning have evolved around collaborative assembly design and assembly planning to speed up the product development process. Research in this area has attracted much attention in the past decade. Based on research work in the past few years, this book will present several newly-developed methodologies and applications for collaborative assembly design and assembly planning to improve the efficiency of product development in a collaborative design environment.
List of figures, tables and lists
xi
Acknowledgements xvii
Preface xix
About the authors xxi
1 Introduction
1(8)
1.1 Background
1(1)
1.2 Key issues in collaborative assembly design
2(3)
1.3 Key issues in collaborative assembly planning
5(1)
1.4 Organization of the book
6(3)
References
7(2)
2 Literature survey
9(26)
2.1 Survey on assembly design
9(5)
2.1.1 Assembly representation approach in traditional assembly design
10(1)
2.1.2 Assembly representation approach in collaborative assembly design
11(1)
2.1.3 Approaches for design modification in collaborative assembly design
12(2)
2.2 Survey on evaluation of the tolerance influence on product assemblability
14(3)
2.3 Survey on assembly planning
17(8)
2.3.1 Graph-based approach
18(1)
2.3.2 Al-based approach
19(4)
2.3.3 Collaborative assembly planning
23(2)
2.4 Research works in this book
25(10)
References
28(7)
3 Collaborative assembly design
35(30)
3.1 An assembly representation model for collaborative design
35(4)
3.1.1 Feature-based hierarchical co-assembly representation
36(2)
3.1.2 A definition of assembly feature in collaborative design
38(1)
3.2 Functions of the co-assembly representation model
39(5)
3.3 Design modification propagation control mechanism
44(8)
3.3.1 XML representation
44(1)
3.3.2 Using XML file to exchange information
44(2)
3.3.3 XML files parsing process
46(6)
3.4 System implementation
52(1)
3.5 Case study
53(9)
3.6 Summary
62(3)
References
63(2)
4 Evaluation of product assemblability In different assembly sequences
65(42)
4.1 Tolerance categorization and representation
66(6)
4.1.1 Tolerance categorization
66(1)
4.1.2 Sensitive tolerance in assembly
66(3)
4.1.3 Converting the STA of features to geometric deviations
69(3)
4.2 Clearance in assembly and representation
72(12)
4.2.1 The role of clearance in assembly
72(1)
4.2.2 Representation of the clearance zone
73(3)
4.2.3 Converting the clearance zone to geometric deviations
76(8)
4.3 Using transformation matrices to conclude the propagation and accumulation of the geometric deviations
84(3)
4.3.1 Transformation matrix
84(2)
4.3.2 Coordinates conversion between coordinate frames
86(1)
4.4 Assemblability evaluation in different assembly sequences
87(13)
4.5 Case study
100(2)
4.6 Summary
102(5)
References
105(2)
5 Advanced assembly planning approach using a multi-objective genetic algorithm
107(40)
5.1 Tolerance-based constraint in assembly planning
107(1)
5.2 Genetic search directions with fuzzy weights distribution
108(9)
5.2.1 Non-dominated solutions
109(1)
5.2.2 Search directions in a multi-objective optimization problem
110(4)
5.2.3 Using linear membership functions to derive the fuzzy weights
114(3)
5.3 Multi-objective genetic algorithm with multiple search directions
117(5)
5.3.1 Initial population generation
117(1)
5.3.2 Population evolution
118(2)
5.3.3 Population selection
120(1)
5.3.4 Overall multi-objective genetic algorithm
121(1)
5.4 Building the fitness function for assembly planning
122(7)
5.4.1 Objectives in assembly planning
122(1)
5.4.2 Constraints for feasibility evaluation of the assembly sequence
122(5)
5.4.3 Formulation of the fitness function
127(2)
5.5 Case study
129(15)
5.5.1 Case study 1
129(13)
5.5.2 Case study 2
142(1)
5.5.3 Discussions
142(2)
5.6 Summary
144(3)
References
145(2)
6 Evaluation of assembly design from assembly planning and redesign
147(18)
6.1 The design problems identified from the assembly planning results
147(3)
6.2 The overall redesign guidelines from the assembly planning results
150(13)
6.2.1 Redesign suggestion from the assemblability evaluation
151(4)
6.2.2 Redesign suggestion from the number of assembly orientation changes
155(4)
6.2.3 Redesign suggestion from the number of assembly tool changes
159(2)
6.2.4 Redesign suggestion from the number of assembly operation changes
161(2)
6.3 Summary
163(2)
Reference
163(2)
7 Collaborative assembly planning
165(18)
7.1 System framework and working mechanism
165(3)
7.2 The workflow of collaborative assembly planning
168(6)
7.2.1 The task assignment for the sub-assembly
169(2)
7.2.2 Feasibility check of the sub-assembly task assignment
171(2)
7.2.3 Parameter selection in assembly planning
173(1)
7.2.4 Assembly planning for the sub-assembly using the multi-objective genetic algorithm
174(1)
7.3 Case study
174(8)
7.4 Summary
182(1)
Reference
182(1)
8 Conclusions and recommendations
183(6)
8.1 Conclusions
183(3)
8.2 Recommendations for future works
186(3)
Index 189
Dr. Cong Lu is currently an associate Professor in the School of Mechatronics Engineering, University of Electronic Science and Technology of China. Dr. Lus research interests include collaborative design and assembly, concurrent Engineering, and CAD/CAM. Dr. Lu has published many research papers in the reputable international journals, such as ASME Journal of Computing and Information Science in Engineering, IMechE Journal of Engineering Manufacture, International Journal of Production Research. Professor Jerry Ying Hsi Fuh is currently a full Professor at the Department of Mechanical Engineering, National University of Singapore (NUS). He has published more than 170 journal papers (with more than 1,300 cross citations listed in Scopus), 150 conference papers, authored two monographs, and owns six patents. He has supervised more than 60 postgraduate students including 23 PhD and 32 Meng. Dr. Yoke San Wong is the Head of the Manufacturing Group in the Department of Mechanical Engineering, National University of Singapore (NUS). He has published more than 130 papers in refereed journals. He has also contributed to international conferences and books, and participated in several local and overseas funded projects.
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