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Optimization of wear of electroless Ni-P-Cu coating using artificial bee colony algorithm

机译:用人工蜂菌落算法优化化学镀Ni-P-Cu涂层磨损

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This article aims to present an experimental investigation for optimum wear depth 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 viz. nickel sulphate, sodium hypophosphite, copper sulphate and the fourth parameter is post deposition heat treatment temperature. To observe the variation of each parameter with the wear depth, the operating range of each parameter is divided into three equally spaced levels. The design of experiment is based on the Taguchi L_(27) experimental design. The measurement of wear is carried out in terms of wear depth using DUCOM TR 25 multi-tribotester apparatus with block on roller arrangement. Here a second order regression equation is obtained for wear depth with the help of Minitab 16 software. The variation of wear depth with the variation of each coating process parameters is observed. The optimum values of each coating process parameters are obtained from the artificial bee colony analysis and the corresponding optimum value of wear depth is also obtained. The surface morphology and composition of coatings are also studied with the help of scanning electron microscopy, energy dispersed X-ray analysis.
机译:本文旨在基于使用人造蜜蜂菌落算法的四个工艺参数的基于四个工艺参数的电磁磨损深度的实验研究。通过利用三种涂覆工艺参数viz的组合进行实验。硫酸镍,次磷酸钠,硫酸铜和第四参数是沉积热处理温度。为了观察每个参数的磨损深度的变化,每个参数的操作范围被分成三个等间隔的水平。实验设计基于Taguchi L_(27)的实验设计。在磨损深度方面使用带有块的滚筒装置的Ducom Tr 25多骨杆菌设备来进行磨损的测量。这里,在Minitab 16软件的帮助下,获得了磨损深度的二阶回归方程。观察到随着每个涂覆工艺参数的变化的磨损深度的变化。从人造蜂菌落分析获得每个涂覆工艺参数的最佳值,并且还获得了相应的磨损深度的最佳值。在扫描电子显微镜的帮助下,还研究了涂层的表面形态和组成,能量分散X射线分析。

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