Application of RSM, F-Regression and GA for evaluating of effective factors in vehicle brake drum assembling process
The present study aims at optimizing the vehicle brake drum assembling process. Considering the crucial role of the Axle unit, especially its vehicle brake drum which is related to the safety of the passengers, the study of the producing and assembling processes and conducting the quality control ex...
| Main Authors: | , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Allameh Tabataba'i University Press
2011-12-01
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| Series: | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| Subjects: | |
| Online Access: | https://jims.atu.ac.ir/article_4533_538f6094f301f16ef33a5f68d0cf4f4b.pdf |
| _version_ | 1797368847733358592 |
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| author | Hadi Hematiyan Meysam Sarreshtehdar Hassan Hadipour |
| author_facet | Hadi Hematiyan Meysam Sarreshtehdar Hassan Hadipour |
| author_sort | Hadi Hematiyan |
| collection | DOAJ |
| description | The present study aims at optimizing the vehicle brake drum assembling process. Considering the crucial role of the Axle unit, especially its vehicle brake drum which is related to the safety of the passengers, the study of the producing and assembling processes and conducting the quality control experiments during these stages is of great importance. With regard to the great significance of three main factors, namely, seal-oil spindle diameter, seal-oil internal diameter, and nut lock torque as independent variables, the present research attempts to optimize the rotatory torque of the automobile brake drum getting help from the discussions in the RSM and the unsteady of the automobile brake drum getting help from fuzzy regression using least absolute deviation estimators. Finally optimal solution perused by nonlinear programming model and Genetic Algorithm using one of multi-objective existing methods (LP-metric). Comparing the two optimization methods is shown that the GA technique has better performance rather than nonlinear programming model. |
| first_indexed | 2024-03-08T17:38:35Z |
| format | Article |
| id | doaj.art-0b0630542c544bb2ad22ce6bb9e1ef07 |
| institution | Directory Open Access Journal |
| issn | 2251-8029 2476-602X |
| language | fas |
| last_indexed | 2024-03-08T17:38:35Z |
| publishDate | 2011-12-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| spelling | doaj.art-0b0630542c544bb2ad22ce6bb9e1ef072024-01-02T11:15:02ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292476-602X2011-12-019231631864533Application of RSM, F-Regression and GA for evaluating of effective factors in vehicle brake drum assembling processHadi Hematiyan0Meysam Sarreshtehdar1Hassan Hadipour2استادیار دانشگاه آزاد اسلامی واحد سمنانکارشناس ارشد دانشگاه آزاد اسلامی واحد سمنانکارشناس ارشد مهندسی صنایع دانشگاه آزاد اسلامی واحد قزوین، (مسئول مکاتبات)The present study aims at optimizing the vehicle brake drum assembling process. Considering the crucial role of the Axle unit, especially its vehicle brake drum which is related to the safety of the passengers, the study of the producing and assembling processes and conducting the quality control experiments during these stages is of great importance. With regard to the great significance of three main factors, namely, seal-oil spindle diameter, seal-oil internal diameter, and nut lock torque as independent variables, the present research attempts to optimize the rotatory torque of the automobile brake drum getting help from the discussions in the RSM and the unsteady of the automobile brake drum getting help from fuzzy regression using least absolute deviation estimators. Finally optimal solution perused by nonlinear programming model and Genetic Algorithm using one of multi-objective existing methods (LP-metric). Comparing the two optimization methods is shown that the GA technique has better performance rather than nonlinear programming model.https://jims.atu.ac.ir/article_4533_538f6094f301f16ef33a5f68d0cf4f4b.pdfdesign of experiment (doe)response surface methodology (rsm)fuzzy regressionlp-metricgenetic algorithm (ga) |
| spellingShingle | Hadi Hematiyan Meysam Sarreshtehdar Hassan Hadipour Application of RSM, F-Regression and GA for evaluating of effective factors in vehicle brake drum assembling process Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī design of experiment (doe) response surface methodology (rsm) fuzzy regression lp-metric genetic algorithm (ga) |
| title | Application of RSM, F-Regression and GA for evaluating of effective factors in vehicle brake drum assembling process |
| title_full | Application of RSM, F-Regression and GA for evaluating of effective factors in vehicle brake drum assembling process |
| title_fullStr | Application of RSM, F-Regression and GA for evaluating of effective factors in vehicle brake drum assembling process |
| title_full_unstemmed | Application of RSM, F-Regression and GA for evaluating of effective factors in vehicle brake drum assembling process |
| title_short | Application of RSM, F-Regression and GA for evaluating of effective factors in vehicle brake drum assembling process |
| title_sort | application of rsm f regression and ga for evaluating of effective factors in vehicle brake drum assembling process |
| topic | design of experiment (doe) response surface methodology (rsm) fuzzy regression lp-metric genetic algorithm (ga) |
| url | https://jims.atu.ac.ir/article_4533_538f6094f301f16ef33a5f68d0cf4f4b.pdf |
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