RESEARCH ON THE GEAR OF SHEARER’S CUTTING PART BASED ON MFC-ANNS
In order to do innovative design and study for the gears of shearer’s cutting part,the rigid-flexible coupling model of rocker system was established to study the thermal equilibrium procedure of the gear system,the temperature load and boundary conditions were determined and the different working c...
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Format: | Article |
Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2016-01-01
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Series: | Jixie qiangdu |
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Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.06.023 |
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author | ZHAO LiJuan LI MingHao |
author_facet | ZHAO LiJuan LI MingHao |
author_sort | ZHAO LiJuan |
collection | DOAJ |
description | In order to do innovative design and study for the gears of shearer’s cutting part,the rigid-flexible coupling model of rocker system was established to study the thermal equilibrium procedure of the gear system,the temperature load and boundary conditions were determined and the different working conditions load files which were output by MSCAdams were loaded.Temperature-structure coupling analysis of the gears were studied by ANSYS,the temperature field nephogram and the structure coupling analysis nephogram of the gears were obtained. Combining MFC with ANNs could predict shearer ’s kinematics parameters when the gears was reliable operation,the prediction error reach 5. 6538 × 10<sup>- 6</sup>,the research results provides a unequivocal quantitative basis for the design and optimization of gear type parts which could improve this type of parts’ functional reliability effectively,this method has instruction significance to practical shearer’s productions. |
format | Article |
id | doaj-art-00396be86ce14a5e82e4a09373470273 |
institution | Kabale University |
issn | 1001-9669 |
language | zho |
publishDate | 2016-01-01 |
publisher | Editorial Office of Journal of Mechanical Strength |
record_format | Article |
series | Jixie qiangdu |
spelling | doaj-art-00396be86ce14a5e82e4a093734702732025-01-15T02:35:36ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692016-01-01381264127030597367RESEARCH ON THE GEAR OF SHEARER’S CUTTING PART BASED ON MFC-ANNSZHAO LiJuanLI MingHaoIn order to do innovative design and study for the gears of shearer’s cutting part,the rigid-flexible coupling model of rocker system was established to study the thermal equilibrium procedure of the gear system,the temperature load and boundary conditions were determined and the different working conditions load files which were output by MSCAdams were loaded.Temperature-structure coupling analysis of the gears were studied by ANSYS,the temperature field nephogram and the structure coupling analysis nephogram of the gears were obtained. Combining MFC with ANNs could predict shearer ’s kinematics parameters when the gears was reliable operation,the prediction error reach 5. 6538 × 10<sup>- 6</sup>,the research results provides a unequivocal quantitative basis for the design and optimization of gear type parts which could improve this type of parts’ functional reliability effectively,this method has instruction significance to practical shearer’s productions.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.06.023ShearerCutting partGearMulti-field couplingArtificial neural network |
spellingShingle | ZHAO LiJuan LI MingHao RESEARCH ON THE GEAR OF SHEARER’S CUTTING PART BASED ON MFC-ANNS Jixie qiangdu Shearer Cutting part Gear Multi-field coupling Artificial neural network |
title | RESEARCH ON THE GEAR OF SHEARER’S CUTTING PART BASED ON MFC-ANNS |
title_full | RESEARCH ON THE GEAR OF SHEARER’S CUTTING PART BASED ON MFC-ANNS |
title_fullStr | RESEARCH ON THE GEAR OF SHEARER’S CUTTING PART BASED ON MFC-ANNS |
title_full_unstemmed | RESEARCH ON THE GEAR OF SHEARER’S CUTTING PART BASED ON MFC-ANNS |
title_short | RESEARCH ON THE GEAR OF SHEARER’S CUTTING PART BASED ON MFC-ANNS |
title_sort | research on the gear of shearer s cutting part based on mfc anns |
topic | Shearer Cutting part Gear Multi-field coupling Artificial neural network |
url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.06.023 |
work_keys_str_mv | AT zhaolijuan researchonthegearofshearerscuttingpartbasedonmfcanns AT liminghao researchonthegearofshearerscuttingpartbasedonmfcanns |