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首页> 外文期刊>ISRN Mechanical Engineering >Optimization of Multiple Roughness Characteristics of Chemically Deposited Ni-P-W Coating Using Weighted Principal Component Analysis
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Optimization of Multiple Roughness Characteristics of Chemically Deposited Ni-P-W Coating Using Weighted Principal Component Analysis

机译：加权主成分分析法优化化学沉积Ni-P-W镀层的多重粗糙度特征

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The present investigation deals with the chemical deposition of Ni-P-W coating on mild steel substrate and optimization of multiple surface roughness characteristics on the basis of different coating process parameters. Three coating parameters which are varied to have the optimum condition are concentration of nickel source, concentration of reducing agent, and concentration of tungsten source. Five different roughness parameters, namely, centre line average (Ra), root mean square roughness (Rq), skewness (??sk), kurtosis (??ku), and mean peak line spacing (??sm) are considered. Weighted principal component analysis (WPCA) method is adopted to convert the multiple-response problem into a single performance index and Taguchi L27 orthogonal array is used. ANOVA is performed to find the significance of the each coating process parameters and their interactions. The EDX analysis, XRD analysis, and SEM are performed to study the composition and structural aspects.
机译：目前的研究涉及在低碳钢基材上化学沉积Ni-P-W涂层，以及根据不同的镀层工艺参数优化多个表面粗糙度特性。改变以具有最佳条件的三个涂层参数是镍源的浓度，还原剂的浓度和钨源的浓度。考虑了五个不同的粗糙度参数，即中心线平均值（Ra），均方根粗糙度（Rq），偏度（Δsksk），峰度（Δku）和平均峰线间距（Δssm）。采用加权主成分分析（WPCA）方法将多响应问题转换为单个性能指标，并使用田口L27正交阵列。进行方差分析以发现每个涂层工艺参数及其相互作用的重要性。进行了EDX分析，XRD分析和SEM，以研究成分和结构方面。

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