Optimization of Driving Axle Housing of Dump Truck based on Robustness Selection
In lightweight research of driving axle housing of heavy dump trucks，the reliability of the axle housing is difficult to be controlled due to the uncertainty factors in the use and production conditions of the axle housing，so a lightweight research method combining deterministic optimization and rob...
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Editorial Office of Journal of Mechanical Transmission
2021-06-01
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| Series: | Jixie chuandong |
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| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.06.010 |
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| author | Ronghui Lin Peng Zhou |
| author_facet | Ronghui Lin Peng Zhou |
| author_sort | Ronghui Lin |
| collection | DOAJ |
| description | In lightweight research of driving axle housing of heavy dump trucks，the reliability of the axle housing is difficult to be controlled due to the uncertainty factors in the use and production conditions of the axle housing，so a lightweight research method combining deterministic optimization and robustness selection is proposed. The finite element analysis is carried out on the axle housing，it is verified that there is room for further optimization of the original axle housing. The sensitivity analysis method is used to select the optimization design variables and after that construct the Kriging response surface model. Three groups of 9 optimization sizes are obtained Through the deterministic optimization by multi-objective Genetic Algorithm. The L<sup>9</sup> (3<sup>4</sup>) orthogonal table is constructed，the robust selection of deterministic optimal size is carried out，the optimal size of good robust performance is obtained based on signal-to-noise ratio <italic>η</italic>. The results show that under the condition that the mass of the present axle housing is 16.7% lower than that of the original one，the robustness selection method improves the maximum stress robustness and the first-order natural frequency robustness，and increases the reliability of the axle housing. This method can ensure the normal performance of light weight axle housing under the interference of various uncertain factors，and partly make up for the deficiency of the existing robust optimization methods，a new way of thinking is proposed for the robust optimization of axle housing. |
| format | Article |
| id | doaj-art-122419ea4e47482c9b1be56d6b4342c8 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2021-06-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-122419ea4e47482c9b1be56d6b4342c82025-01-10T14:48:55ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392021-06-0145657011256027Optimization of Driving Axle Housing of Dump Truck based on Robustness SelectionRonghui LinPeng ZhouIn lightweight research of driving axle housing of heavy dump trucks，the reliability of the axle housing is difficult to be controlled due to the uncertainty factors in the use and production conditions of the axle housing，so a lightweight research method combining deterministic optimization and robustness selection is proposed. The finite element analysis is carried out on the axle housing，it is verified that there is room for further optimization of the original axle housing. The sensitivity analysis method is used to select the optimization design variables and after that construct the Kriging response surface model. Three groups of 9 optimization sizes are obtained Through the deterministic optimization by multi-objective Genetic Algorithm. The L<sup>9</sup> (3<sup>4</sup>) orthogonal table is constructed，the robust selection of deterministic optimal size is carried out，the optimal size of good robust performance is obtained based on signal-to-noise ratio <italic>η</italic>. The results show that under the condition that the mass of the present axle housing is 16.7% lower than that of the original one，the robustness selection method improves the maximum stress robustness and the first-order natural frequency robustness，and increases the reliability of the axle housing. This method can ensure the normal performance of light weight axle housing under the interference of various uncertain factors，and partly make up for the deficiency of the existing robust optimization methods，a new way of thinking is proposed for the robust optimization of axle housing.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.06.010Driving axle housingLightweightRobustness selectionSignal-to-noise ratio |
| spellingShingle | Ronghui Lin Peng Zhou Optimization of Driving Axle Housing of Dump Truck based on Robustness Selection Jixie chuandong Driving axle housing Lightweight Robustness selection Signal-to-noise ratio |
| title | Optimization of Driving Axle Housing of Dump Truck based on Robustness Selection |
| title_full | Optimization of Driving Axle Housing of Dump Truck based on Robustness Selection |
| title_fullStr | Optimization of Driving Axle Housing of Dump Truck based on Robustness Selection |
| title_full_unstemmed | Optimization of Driving Axle Housing of Dump Truck based on Robustness Selection |
| title_short | Optimization of Driving Axle Housing of Dump Truck based on Robustness Selection |
| title_sort | optimization of driving axle housing of dump truck based on robustness selection |
| topic | Driving axle housing Lightweight Robustness selection Signal-to-noise ratio |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.06.010 |
| work_keys_str_mv | AT ronghuilin optimizationofdrivingaxlehousingofdumptruckbasedonrobustnessselection AT pengzhou optimizationofdrivingaxlehousingofdumptruckbasedonrobustnessselection |