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Optimization of roller burnishing process parameters using lion optimization algorithm

机译:利用狮子优化算法优化滚筒抛光工艺参数

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The aim of this work is to optimize the roller burnishing process parameters for minimizing the surface roughness using response surface methodology(RSM) and lion optimization algorithm. A RSM based box-behnken design is utilized for experimentations. The empirical model of surface roughness is developed for showing the relation between inputs and output of the burnishing process. The analysis of variance (ANOVA) method was used to check the accuracy of the developed mathematical model. With the developed mathematical model, the roller burnishing process parameters were then optimized to minimize the surface roughness by a new type of lion optimization algorithm. Further, validation test has been conducted for the optimal conditions suggested by lion optimization algorithm. The experimental value agreed with those predicted value with 3.225 of relative error percentage.
机译:这项工作的目的是优化滚子抛光过程参数,以最小化使用响应面法(RSM)和狮子优化算法的表面粗糙度。基于RSM的Box-Behnken设计用于实验。开发了表面粗糙度的经验模型,用于显示抛光过程的输入和输出之间的关系。方差分析(ANOVA)方法用于检查所发育的数学模型的准确性。利用开发的数学模型,然后优化滚轮抛光过程参数以通过新型的狮子优化算法最小化表面粗糙度。此外,已经对狮子优化算法建议的最佳条件进行了验证测试。实验值与那些相对误差百分比的3.225的预测值同意。

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