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Multi-objective optimization of the design parameters of texture bottom profiles in a parallel slider

机译:并行滑块纹理底部曲线设计参数的多目标优化

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In this paper, a square textured parallel slider is considered for a study to improve the hydrodynamic performance of moving parts. The numerical method is employed for the analysis of a square texture with different bottom profiles: flat, triangle T1, triangle T2, and curved. The governing Reynolds equation is solved using a finite difference numerical discretization technique with the Gauss—Seidel iterative scheme. To obtain optimized process parameters, the response surface methodology-based central composite design along with grey relational analysis multi-objective optimization is used. The multi-objective responses are the load capacity and friction coefficient. The triangle T2 bottom profile yields the highest load capacity and the lowest friction coefficient compared to flat, triangle T1, and curved bottom profiles, of which the triangle T1 bottom profile yields the worst results. For the triangle T2 bottom profile, the flow speed is found to be the most significant process parameter, followed by the aspect ratio. Texture density is found to be the least significant parameter based on increasing the load capacity and decreasing the friction coefficient.
机译:在本文中,考虑了一个方形纹理平行滑块,用于提高运动部件的流体动力学性能。用不同的底部轮廓分析数值方法,用于分析具有不同底部轮廓的方形纹理:扁平,三角形T1,三角形T2和弯曲。使用具有高斯-Seidel迭代方案的有限差分数值离散化技术来解决管理雷诺等式。为了获得优化的工艺参数,使用基于响应表面方法的中央复合设计以及灰色关系分析的多目标优化。多目标响应是负载能力和摩擦系数。与扁平,三角形T1和弯曲的底部轮廓相比,三角形T2底部轮廓产生最高的负载能力和最低摩擦系数,其中三角形T1底部轮廓产生最差的结果。对于三角形T2底部轮廓,发现流速是最重要的过程参数,然后是宽高比。发现纹理密度是基于增加负载能力和降低摩擦系数的最低有效参数。

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