首页> 外文会议>2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)论文集 >Technologic Parameter Multi-objective Optimization of Gas Quenching Process Using Grey Improved Absolute Degree of Grey Incidence Method
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Technologic Parameter Multi-objective Optimization of Gas Quenching Process Using Grey Improved Absolute Degree of Grey Incidence Method

机译:改进的灰色关联度绝对值法对煤气淬火工艺参数多目标优化

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Axis-symmetric component is regarded as the research objective in this paper. Based on a model of phase heat transfer coefficient and a Box-Behnken experiment with five factors and three levels, the experiment results are fitted by stepwise regression method and response surface methodology. The response surface formulas are established, that fitted deformation degree, average equivalent residual stress of surface, standard deviation of equivalent residual stress, average surface hardness and standard deviation of surface hardness. And, the four response surface formulas are taken as the objectives and multi-optimization mathematical model is built.Based on improved grey absolute incidence, hybrid discrete multi-optimization with equal probability chaotic genetic algorithm is put forward and the program is compiled.After optimization five items of evaluation objectives are improved. The quenching quality using technical parameters after optimization is much better than before optimization.
机译:本文以轴对称分量为研究对象。基于相传热系数模型和具有五个因子,三个水平的Box-Behnken实验,通过逐步回归法和响应面法对实验结果进行拟合。建立了响应表面公式,拟合了变形程度,表面平均等效当量残余应力,等效等效残余应力的标准偏差,平均表面硬度和表面硬度的标准偏差。并以四个响应面公式为目标,建立了多重优化数学模型。在改进的灰色绝对关联度的基础上,提出了具有等概率混沌遗传算法的混合离散多重优化算法,并编制了程序。五项评价目标得到改善。优化后使用技术参数的淬火质量要比优化前好得多。

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