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首页> 外文期刊>Journal of Solid Mechanics and Materials Engineering >Genetic Algorithm Optimization for Additional Tensioning in Rotating Circular Saw under Thermal Load
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Genetic Algorithm Optimization for Additional Tensioning in Rotating Circular Saw under Thermal Load

机译:热负荷下旋转圆锯附加张紧的遗传算法优化

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With the aim of achieving stable operation of circular saws, this study finds the solution for the optimization problem of choosing a set of parameters for additional tensioning in a rotating circular saw that is subjected to both a local temperature distribution arising from the thermal load caused by the blade-workpiece friction and the in-plane plastic strain introduced by original and additional tensioning. The solution for in-plane forces is obtained on the basis of plate bending theory, and modal analysis for the out-of-plane behavior affected by the in-plane forces is performed. Numerical calculations are performed to investigate the effects of additional tensioning on the natural frequencies. The optimization problem to maximize, with respect to the intensity, location, and width of additional tensioning, the natural frequency of the most critical mode is solved by use of a genetic algorithm, and the optimal parameters of additional tensioning are determined at computational costs that are considerably lower than those of 100% inspection.
机译:为了实现圆锯的稳定运行,本研究找到了一种优化问题的解决方案,该问题是选择一组参数来旋转圆锯中的附加张紧,该参数同时受到由热负荷引起的局部温度分布的影响。刀片和工件之间的摩擦和平面内的塑性应变是由原始张紧和附加张紧引起的。根据板弯曲理论获得了平面内力的解,并进行了受平面内力影响的平面外行为的模态分析。进行数值计算以研究附加张紧对固有频率的影响。关于最大张紧的强度,位置和宽度,通过使用遗传算法来解决最关键模式的固有频率最大化的优化问题,并以计算成本确定额外张紧的最佳参数远低于100%检查的水平。

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