A study of integrated expert systems for process planning of cold forging 冷間鍛造工程設計用エキスパートシステムに関する研究

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著者

    • 楊, 国彬 ヤン, クオピン

書誌事項

タイトル

A study of integrated expert systems for process planning of cold forging

タイトル別名

冷間鍛造工程設計用エキスパートシステムに関する研究

著者名

楊, 国彬

著者別名

ヤン, クオピン

学位授与大学

大阪大学

取得学位

工学博士

学位授与番号

甲第4578号

学位授与年月日

1992-03-25

注記・抄録

博士論文

10271

博士(工学)

1992-03-25

大阪大学

14401甲第04578号

目次

  1. Contents / p3 (0005.jp2)
  2. ACKNOWLEDGMENTS / p1 (0003.jp2)
  3. 1 INTRODUCTION / p1 (0009.jp2)
  4. 1.1 Historical Review of CAPP Activities on Cold Forging / p2 (0010.jp2)
  5. 1.2 Research Background / p8 (0016.jp2)
  6. 1.3 Technological Background / p8 (0016.jp2)
  7. 1.4 Conventional Process Planning Procedure / p12 (0020.jp2)
  8. 1.5 Research Objective / p14 (0022.jp2)
  9. 1.6 Outline of Dissertation / p16 (0024.jp2)
  10. 2 PRODUCT MODEL / p18 (0026.jp2)
  11. 2.1 Definition of Primitives / p19 (0027.jp2)
  12. 2.2 Representation of Cold Forged Products with Sections / p22 (0030.jp2)
  13. 2.3 Representation of Dimensions / p23 (0031.jp2)
  14. 2.4 Product Model / p24 (0032.jp2)
  15. 2.5 Summary / p27 (0035.jp2)
  16. 3 PROCESS GENERATION WITH VARIANT-AND-GENERATIVE STRATGY / p29 (0037.jp2)
  17. 3.1 Fundamental Process and Sample Process / p31 (0039.jp2)
  18. 3.2 Topology-Based Parametric Representation of Shape Geometry / p32 (0040.jp2)
  19. 3.3 Rules for Geometry Transformation / p35 (0043.jp2)
  20. 3.4 Data Bases for Fundamental and Sample Processes / p35 (0043.jp2)
  21. 3.5 Process Generation / p39 (0047.jp2)
  22. 3.6 Dimension Determination / p47 (0055.jp2)
  23. 3.7 Summary / p48 (0056.jp2)
  24. 4 PROCESS GENERATION WITH NEURAL NETWORKS / p49 (0057.jp2)
  25. 4.1 Three-Layer Neural Networks / p50 (0058.jp2)
  26. 4.2 Standardization of Shape Data / p52 (0060.jp2)
  27. 4.3 Determination of Single Stroke Forming Methods / p56 (0064.jp2)
  28. 4.4 Total Process Generation Neural Network System / p58 (0066.jp2)
  29. 4.5 Parallel Process Generation Neural Network System / p61 (0069.jp2)
  30. 4.6 Dimension Determination / p66 (0074.jp2)
  31. 4.7 Summary / p69 (0077.jp2)
  32. 5 DETERMINATION OF ORDER OF EVALUATION / p71 (0079.jp2)
  33. 5.1 Forming Severity / p71 (0079.jp2)
  34. 5.2 Priority Degree / p74 (0082.jp2)
  35. 5.3 Order of Evaluation / p81 (0089.jp2)
  36. 5.4 Summary / p81 (0089.jp2)
  37. 6 PROCESS EVALUATION WITH EMIPICAL KNOWLEDGE / p83 (0091.jp2)
  38. 6.1 Rule Based Inference System / p83 (0091.jp2)
  39. 6.2 Empirical Rules / p85 (0093.jp2)
  40. 6.3 Process Evaluation with Computer Simulation / p94 (0102.jp2)
  41. 6.4 Summary / p95 (0103.jp2)
  42. 7 KNOWLEDGE ACQUISITION BASED ON FEM SIMULATION / p97 (0105.jp2)
  43. 7.1 Data Base Constructing System / p98 (0106.jp2)
  44. 7.2 Knowledge Base Construction by Multivariate Analysis Methods / p103 (0111.jp2)
  45. 7.3 Self-Learning of Rules by Neural Networks / p106 (0114.jp2)
  46. 7.4 Comparison of Results of Multivariate Analysis Methods and Neural Networks / p110 (0118.jp2)
  47. 7.5 Summary / p111 (0119.jp2)
  48. 8 BILLET AND TOOL MATERIAL DATA BASES / p113 (0121.jp2)
  49. 8.1 Billet Material Data Base / p113 (0121.jp2)
  50. 8.2 Approximate Reasoning of Flow Stress of Carbon Steel / p114 (0122.jp2)
  51. 8.3 Tool Material Data Base / p133 (0141.jp2)
  52. 8.4 Summary / p135 (0143.jp2)
  53. 9 OUTLINE OF PROCESS PLANNING EXPERT SYSTEM / p137 (0145.jp2)
  54. 9.1 Structure of System / p137 (0145.jp2)
  55. 9.2 Programming Languages and Computers / p139 (0147.jp2)
  56. 9.3 Miscellaneous Discussions / p140 (0148.jp2)
  57. 10 CONCLUDING REMARKS / p142 (0150.jp2)
  58. 10.1 Summaries / p142 (0150.jp2)
  59. 10.2 Conclusions and Future Prospects / p145 (0153.jp2)
  60. REFERENCES / p147 (0155.jp2)
  61. APPENDIX:SOME EXAMPLES OF SAMPLE PROCESSES / p162 (0170.jp2)
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各種コード

  • NII論文ID(NAID)
    500000084400
  • NII著者ID(NRID)
    • 8000000084612
  • DOI(NDL)
  • NDL書誌ID
    • 000000248714
  • データ提供元
    • 機関リポジトリ
    • NDL-OPAC
    • NDLデジタルコレクション
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