Analysis of thermal characteristics of machine tool spindle based on lion swarm optimization algorithm
Heat is very important to the rotation accuracy of the spindle, and the accurate calculation of the convection heat transfer coefficient is the premise of obtaining accurate results from the finite element steady-state thermal analysis. In this paper, the convective heat transfer coefficient of the...
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Editorial Office of Journal of Mechanical Strength
2024-06-01
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| Series: | Jixie qiangdu |
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| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2024.03.024 |
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| author | ZHANG ZhuangZhuang WANG HongJun WANG ZengXin |
| author_facet | ZHANG ZhuangZhuang WANG HongJun WANG ZengXin |
| author_sort | ZHANG ZhuangZhuang |
| collection | DOAJ |
| description | Heat is very important to the rotation accuracy of the spindle, and the accurate calculation of the convection heat transfer coefficient is the premise of obtaining accurate results from the finite element steady-state thermal analysis. In this paper, the convective heat transfer coefficient of the main shaft was optimized by using the lion swarm optimization (LSO) algorithm. Compared with other optimization algorithms such as genetic algorithm, the LSO algorithm has faster convergence speed, higher accuracy, and better global optimal solution. Firstly, the critical point temperature of the spindle system and the thermal elongation of the spindle were measured by using Lion's thermal analysis module. Secondly, the inaccurate but close to real convective heat transfer coefficient value of the main shaft was calculated by empirical formula. Inaccurate convective heat transfer coefficient was led to inaccurate finite element simulation temperature results, so used the lion optimization algorithm to optimize the convective heat transfer coefficient, the convection heat transfer coefficient was regarded as the target value of interest, and the root mean square error between the experimental temperature value and the simulated temperature value was regarded as the fitness function. After 150 generations, the optimal convective heat transfer coefficient with the smallest error was searched. Finally, the finite element steady-state thermal analysis of the spindle system was carried out on the searched optimal convective heat transfer coefficient, and the comparison with the experimental results proved the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-3eb64d7f72584c9daaf854d2e956c93c |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2024-06-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-3eb64d7f72584c9daaf854d2e956c93c2025-01-15T02:45:25ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692024-06-014670871663938789Analysis of thermal characteristics of machine tool spindle based on lion swarm optimization algorithmZHANG ZhuangZhuangWANG HongJunWANG ZengXinHeat is very important to the rotation accuracy of the spindle, and the accurate calculation of the convection heat transfer coefficient is the premise of obtaining accurate results from the finite element steady-state thermal analysis. In this paper, the convective heat transfer coefficient of the main shaft was optimized by using the lion swarm optimization (LSO) algorithm. Compared with other optimization algorithms such as genetic algorithm, the LSO algorithm has faster convergence speed, higher accuracy, and better global optimal solution. Firstly, the critical point temperature of the spindle system and the thermal elongation of the spindle were measured by using Lion's thermal analysis module. Secondly, the inaccurate but close to real convective heat transfer coefficient value of the main shaft was calculated by empirical formula. Inaccurate convective heat transfer coefficient was led to inaccurate finite element simulation temperature results, so used the lion optimization algorithm to optimize the convective heat transfer coefficient, the convection heat transfer coefficient was regarded as the target value of interest, and the root mean square error between the experimental temperature value and the simulated temperature value was regarded as the fitness function. After 150 generations, the optimal convective heat transfer coefficient with the smallest error was searched. Finally, the finite element steady-state thermal analysis of the spindle system was carried out on the searched optimal convective heat transfer coefficient, and the comparison with the experimental results proved the effectiveness of the proposed method.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2024.03.024Machine tool spindleThermal characteristicsConvective heat transfer coefficientLion swarm optimizationANSYS |
| spellingShingle | ZHANG ZhuangZhuang WANG HongJun WANG ZengXin Analysis of thermal characteristics of machine tool spindle based on lion swarm optimization algorithm Jixie qiangdu Machine tool spindle Thermal characteristics Convective heat transfer coefficient Lion swarm optimization ANSYS |
| title | Analysis of thermal characteristics of machine tool spindle based on lion swarm optimization algorithm |
| title_full | Analysis of thermal characteristics of machine tool spindle based on lion swarm optimization algorithm |
| title_fullStr | Analysis of thermal characteristics of machine tool spindle based on lion swarm optimization algorithm |
| title_full_unstemmed | Analysis of thermal characteristics of machine tool spindle based on lion swarm optimization algorithm |
| title_short | Analysis of thermal characteristics of machine tool spindle based on lion swarm optimization algorithm |
| title_sort | analysis of thermal characteristics of machine tool spindle based on lion swarm optimization algorithm |
| topic | Machine tool spindle Thermal characteristics Convective heat transfer coefficient Lion swarm optimization ANSYS |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2024.03.024 |
| work_keys_str_mv | AT zhangzhuangzhuang analysisofthermalcharacteristicsofmachinetoolspindlebasedonlionswarmoptimizationalgorithm AT wanghongjun analysisofthermalcharacteristicsofmachinetoolspindlebasedonlionswarmoptimizationalgorithm AT wangzengxin analysisofthermalcharacteristicsofmachinetoolspindlebasedonlionswarmoptimizationalgorithm |