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An Experimental Approach for Optimizing Coating Parameters of Electroless Ni-P-Cu Coating Using Artificial Bee Colony Algorithm

机译:人工蜂群算法优化化学镀Ni-P-Cu镀层参数的实验方法

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摘要

This paper aims to present an experimental investigation for optimum tribological behavior (wear depth and coefficient of friction) of electroless Ni-P-Cu coatings based on four process parameters using artificial bee colony algorithm. Experiments are carried out by utilizing the combination of three coating process parameters, namely, nickel sulphate, sodium hypophosphite, and copper sulphate, and the fourth parameter is postdeposition heat treatment temperature. The design of experiment is based on the Taguchi L27 experimental design. After coating, measurement of wear and coefficient of friction of each heat-treated sample is done using a multitribotester apparatus with block-on-roller arrangement. Both friction and wear are found to increase with increase of source of nickel concentration and decrease with increase of source of copper concentration. Artificial bee colony algorithm is successfully employed to optimize the multiresponse objective function for both wear depth and coefficient of friction. It is found that, within the operating range, a lower value of nickel concentration, medium value of hypophosphite concentration, higher value of copper concentration, and higher value of heat treatment temperature are suitable for having minimum wear and coefficient of friction. The surface morphology, phase transformation behavior, and composition of coatings are also studied with the help of scanning electron microscopy, X-ray diffraction analysis, and energy dispersed X-ray analysis, respectively.
机译:本文旨在通过人工蜂群算法,基于四个工艺参数,对化学镀镍-磷-铜涂层的最佳摩擦学行为(磨损深度和摩擦系数)进行实验研究。利用硫酸镍,次磷酸钠和硫酸铜这三个涂层工艺参数的组合进行实验,第四个参数是沉积后热处理温度。实验设计基于田口L27实验设计。涂覆后,使用带有滚装装置的多三酸酯设备对每个热处理样品的磨损和摩擦系数进行测量。发现摩擦和磨损都随着镍浓度来源的增加而增加,而随着铜浓度来源的增加而减少。成功地采用人工蜂群算法来优化磨损深度和摩擦系数的多响应目标函数。发现在操作范围内,较低的镍浓度值,次磷酸盐浓度的中等值,较高的铜浓度的值和较高的热处理温度的值适合于具有最小的磨损和摩擦系数。还分别借助扫描电子显微镜,X射线衍射分析和能量分散X射线分析研究了涂层的表面形态,相变行为和组成。

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