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Obtaining More Accurate Thermal Boundary Conditions of Machine Tool Spindle Using Response Surface Model Hybrid Artificial Bee Colony Algorithm

机译:使用响应表面模型混合人工蜂菌落算法获得更准确的机床主轴的热边界条件

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摘要

With the application of finite element method on structure design and engineering analysis more and more widely, this paper presents a response surface model hybrid artificial bee colony method to optimize the thermal boundary conditions in finite element thermal analysis of a machine tool spindle to improve its finite element simulation precision. Initially, the thermal experiment and finite element thermal analysis of the machine tool spindle with initials that were calculated by empirical formulas were conducted, respectively. Additionally, focusing on thermal boundary conditions, a response surface model is designed to establish the explicit expression between thermal boundary conditions and the simulation errors; then, an artificial bee colony algorithm is used to solve the mixed-variable optimization problems of a response surface model. Finally, the optimized thermal boundary conditions are brought into the finite element method of a machine tool system, and the simulation accuracy has been greatly improved .
机译:随着有限元方法对结构设计和工程分析的越来越广,本文介绍了一种响应面模型混合人工蜂菌落方法,以优化机床主轴有限元热分析中的热边界条件,提高其有限元素仿真精度。首先,分别进行了通过经验公式计算的具有缩写的机床主轴的热实验和有限元热分析。此外,专注于热边界条件,响应面模型旨在建立热边界条件和模拟误差之间的明确表达;然后,使用人造蜂菌落算法来解决响应表面模型的混合变量优化问题。最后,优化的热边界条件进入了机床系统的有限元方法,仿真精度大大提高。

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