首页> 外文期刊>Measurement >Performance studies of multilayer hard surface coatings (TiN/TiCN/Al_2O_3/TiN) of indexable carbide inserts in hard machining: Part-II (RSM, grey relational and techno economical approach)
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Performance studies of multilayer hard surface coatings (TiN/TiCN/Al_2O_3/TiN) of indexable carbide inserts in hard machining: Part-II (RSM, grey relational and techno economical approach)

机译:可转位硬质合金刀片的多层硬质表面涂层(TiN / TiCN / Al_2O_3 / TiN)在硬加工中的性能研究:第二部分(RSM,灰色关联和技术经济方法)

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摘要

This paper presents the mathematical modelling and parametric optimization on flank wear and surface roughness based on response surface methodology and grey-based Taguchi method in finish hard turning of AISI 4340 steel (HRC 47 ± 1) using multilayer coated carbide (TiN/TiCN/Al_2O_3/TiN) insert under dry environment. The economical feasibility of utilizing multilayer TiN coated carbide insert has been described. Model adequacy has been checked using correlation coefficients. From main effect, it is evident that, cutting speed is the most significant factor for flank wear followed by depth of cut and feed. Again, feed is the most significant factor for surface roughness followed by cutting speed and depth of cut. The coefficient of determination (R~2) is more than 75% for RSM models developed, which shows the high correlation exist between the experimental and predicted values. The experimental vs. predicted values of flank wear and surface roughness (Ra and Rz) are also found to be very close to each other implying significance of models developed. The improvement of grey relational grade from initial parameter combination (d2-f3-v4) to the optimal parameter combination (d1-f1-v3) is found to be 0.3093 using grey relational analysis coupled with Taguchi method for simultaneous optimization of responses. Flank wear (VBc) and surface roughness parameters (Ra and Rz) are decreased 1.9, 2.32 and 1.5 times respectively considering optimal parametric combinations for multi-responses. The calculated total machining cost per part is only Rs. 3.17 due to higher tool life (47 min at their optimal level) of multilayer TiN coated carbide insert. It brings to the reduction of downtime and increases the savings.
机译:本文介绍了基于响应表面方法和基于灰色的Taguchi方法对AISI 4340钢(HRC 47±1)进行硬涂层精加工的TiN / TiCN / Al_2O_3的侧面磨损和表面粗糙度的数学建模和参数优化。 / TiN)插入在干燥的环境中。已经描述了利用多层TiN涂层的硬质合金刀片的经济可行性。使用相关系数检查了模型的适当性。从主效应可以明显看出,切削速度是造成侧面磨损的最重要因素,其次是切削深度和进给量。同样,进给是造成表面粗糙度的最重要因素,其次是切削速度和切削深度。 RSM模型的测定系数(R〜2)大于75%,表明实验值与预测值之间存在高度相关性。侧面磨损和表面粗糙度(Ra和Rz)的实验值与预测值也非常接近,这表明所开发模型的重要性。使用灰色关联分析和Taguchi方法同时优化响应,从初始参数组合(d2-f3-v4)到最佳参数组合(d1-f1-v3)的灰色关联等级提高为0.3093。考虑到多响应的最佳参数组合,后刀面磨损(VBc)和表面粗糙度参数(Ra和Rz)分别降低了1.9、2.32和1.5倍。计算得出的每个零件的总加工成本仅为Rs。 3.17是由于多层TiN涂层硬质合金刀片具有更长的刀具寿命(在最佳水平下为47分钟)。它减少了停机时间并增加了节省。

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