Control and estimate of weld parameters in robotic welding by neural network ニューラルネットワークによるロボット溶接における溶接パラメータの推定と制御

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著者

    • 金, 炳哲 キン, ヘイテツ

書誌事項

タイトル

Control and estimate of weld parameters in robotic welding by neural network

タイトル別名

ニューラルネットワークによるロボット溶接における溶接パラメータの推定と制御

著者名

金, 炳哲

著者別名

キン, ヘイテツ

学位授与大学

埼玉大学

取得学位

博士 (工学)

学位授与番号

甲第126号

学位授与年月日

1996-03-25

注記・抄録

博士論文

目次

  1. CONTENTS / p4 (0006.jp2)
  2. PREFACE / p1 (0003.jp2)
  3. 1 INTRODUCTION / p7 (0009.jp2)
  4. 1-1 Research on the basis of heat conduction theory in fusion welding / p7 (0009.jp2)
  5. 1-2 Application of neural network model / p14 (0016.jp2)
  6. 2 ANALYSIS OF TAB SHAPE IN TIG WELDING / p16 (0018.jp2)
  7. 2-1 Introduction / p16 (0018.jp2)
  8. 2-2 The fundamental law of heat conduction / p17 (0019.jp2)
  9. 2-3 The heat conduction equation / p19 (0021.jp2)
  10. 2-4 Model of numerical calculation / p22 (0024.jp2)
  11. 2-5 Result of numerical calculation / p29 (0031.jp2)
  12. 2-6 Conclusions / p31 (0033.jp2)
  13. 3 ANALYSIS OF CIRCUMFERENTIAL GTA WELDING OF PIPE BY USING SINGLE TORCH / p40 (0042.jp2)
  14. 3-1 Introduction / p40 (0042.jp2)
  15. 3-2 Model of numerical calculations / p41 (0043.jp2)
  16. 3-3 Result of numerical calculation / p45 (0047.jp2)
  17. 3-4 Conclusions / p47 (0049.jp2)
  18. 4 CONTROL OF WELD POOL WIDTH AND COOLING TIME IN CIRCUMFERENTIAL GTA WELDING OF PIPE BY USING NEURAL NETWORK MODEL / p53 (0055.jp2)
  19. 4-1 Introduction / p53 (0055.jp2)
  20. 4-2 Model of numerical calculations / p54 (0056.jp2)
  21. 4-3 Result of numerical calculation / p56 (0058.jp2)
  22. 4-4 The neural network / p58 (0060.jp2)
  23. 4-5 Construction of the weld pool model with the neural network / p64 (0066.jp2)
  24. 4-6 Modelling and controlling by using neural network / p66 (0068.jp2)
  25. 4-7 Conclusions / p67 (0069.jp2)
  26. 5 CONTROL OF BACK WELD POOL SHAPE IN MIG WELDING BY USING SWITCH BACK METHOD / p80 (0082.jp2)
  27. 5-1 Introduction / p80 (0082.jp2)
  28. 5-2 Sensing of weld pool / p81 (0083.jp2)
  29. 5-3 Model of numerical calculation / p82 (0084.jp2)
  30. 5-4 Result of numerical calculation / p83 (0085.jp2)
  31. 5-5 Result of welding experiments and a proposal of switchback method / p85 (0087.jp2)
  32. 5-6 Conclusions / p87 (0089.jp2)
  33. 6 NEURAL NETWORK CONTROL OF BACK BEAD SHAPE IN CIRCUMFERENTIAL TIG WELDING OF PIPES BY SWITCHBACK METHOD / p99 (0101.jp2)
  34. 6-1 Introduction / p99 (0101.jp2)
  35. 6-2 Model of numerical calculations / p100 (0102.jp2)
  36. 6-3 Analyses of result of numerical calculation / p101 (0103.jp2)
  37. 6-4 proposal of switchback method / p102 (0104.jp2)
  38. 6-5 Construction of the weld pool model with the neural network / p104 (0106.jp2)
  39. 6-6 Modelling and controlling by using neural network / p105 (0107.jp2)
  40. 6-7 Conclusions / p106 (0108.jp2)
  41. 7 CONCLUDING REMARKS / p114 (0116.jp2)
  42. ACKNOWLEDGEMENTS / p117 (0119.jp2)
  43. REFERENCES / p118 (0120.jp2)
  44. APPENDIX / p126 (0128.jp2)
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各種コード

  • NII論文ID(NAID)
    500000133898
  • NII著者ID(NRID)
    • 8000000973094
  • DOI(NDL)
  • NDL書誌ID
    • 000000298212
  • データ提供元
    • NDL-OPAC
    • NDLデジタルコレクション
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