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首页> 外文期刊>Journal of thermal stresses >GENETIC ALGORITHM OPTIMIZATION FOR TENSIONING IN A ROTATING CIRCULAR SAW UNDER A THERMAL LOAD
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GENETIC ALGORITHM OPTIMIZATION FOR TENSIONING IN A ROTATING CIRCULAR SAW UNDER A THERMAL LOAD

机译:热载荷作用下旋转圆锯张紧的遗传算法优化

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摘要

The optimization problem for tensioning conditions in a rotating circular saw under a thermal load is solved by a genetic algorithm. The governing equations for the in-plane behavior due to rotation, thermal load by friction, and plastic strain by tensioning and those for the resulting out-of-plane behavior are presented; the solution for in-plane forces is obtained; and a modal analysis is performed. Numerical calculations are performed to investigate the effect of tensioning conditions on the natural frequencies. The optimization problem to maximize the natural frequency of the most critical mode is solved, and the optimal tensioning conditions are determined.
机译:通过遗传算法解决了旋转圆锯在热负荷下张紧条件的优化问题。给出了由于旋转引起的平面内行为的控制方程,由摩擦产生的热负荷和通过拉伸产生的塑性应变的控制方程,以及由此产生的平面外行为的控制方程;获得平面力的解;并进行模态分析。进行数值计算以研究张紧条件对固有频率的影响。解决了使最大临界模式固有频率最大化的优化问题,并确定了最佳张紧条件。

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