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首页> 外文期刊>Tribology in Industry >Tribological Performance Optimization of Electroless Ni-P-W Coating Using Weighted Principal Component Analysis
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Tribological Performance Optimization of Electroless Ni-P-W Coating Using Weighted Principal Component Analysis

机译:基于加权主成分分析的化学镀Ni-P-W涂层摩擦学性能优化

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The present investigation is an experimental approach to deposit electroless Ni-P-W coating on mild steel substrate and find out the optimum combination of various tribological performances on the basis of minimum friction and wear, using weighted principal component analysis (WPCA). In this study three main tribological parameters are chosen viz. load (A), speed (B) and time(C). The responses are coefficient of friction and wear depth. Here Weighted Principal Component Analysis (WPCA) method is adopted to convert the multi-responses into single performance index called multiple performance index (MPI) and Taguchi L27 orthogonal array is used to design the experiment and to find the optimum combination of tribological parameters for minimum coefficient of friction and wear depth. ANOVA is performed to find the significance of the each tribological process parameters and their interactions. The EDX analysis, SEM and XRD are performed to study the composition and structural aspects.
机译:本研究是一种实验方法,用于在低碳钢基材上沉积化学镀Ni-P-W涂层,并使用加权主成分分析(WPCA)在最小摩擦和磨损的基础上找出各种摩擦学性能的最佳组合。在这项研究中,选择了三个主要的摩擦学参数。负载(A),速度(B)和时间(C)。响应是摩擦系数和磨损深度。在这里,采用加权主成分分析(WPCA)方法将多响应转换为单一性能指标,称为多重性能指标(MPI),并使用Taguchi L27正交阵列设计实验并找到摩擦学参数的最佳组合,以最小化摩擦系数和磨损深度。进行方差分析以发现每个摩擦过程参数及其相互作用的重要性。进行了EDX分析,SEM和XRD研究成分和结构方面。

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