Structural and Multidisciplinary Optimization ( IF 3.6 ) Pub Date : 2020-11-06 , DOI: 10.1007/s00158-020-02751-9 C. Moganapriya , R. Rajasekar , P. Sathish Kumar , T. Mohanraj , V. K. Gobinath , J. Saravanakumar
Multi-objective optimization technique has become an essential step in the selection of cutting parameters. The intension of this research study is to analyze the performance characteristics of coated carbide inserts on their measured output responses during machining AISI 1015 steel. This paper targets to optimize the machining parameters such as speed, cutting depth, feed rate, cutting fluid flow rate, and coating material when multiple responses like surface roughness and flank wear were considered at the same time during turning. This research study also intends to examine scientifically the effect of machining parameters on quality measures during machining structural AISI 1015 steel. Cathodic arc evaporation–coated titanium aluminum nitride (TiAlN), titanium aluminum nitride/tungsten carbide-carbon (TiAlN/WC-C), and uncoated CNC inserts were used for the study. SEM and energy-dispersive X-ray analysis were performed to confirm the presence of coated elements. Micro-hardness was measured for coated, pure inserts, and TiAlN/WC-C-coated tool exhibited a higher hardness of 22.11 GPa compared with pure and coated tools. Five process parameters were used for this study, each at three stages. The experimental design was laid based on Taguchi’s L27 orthogonal array. In this research study, a multi-objective hybrid optimization technique comprising grey relation and fuzzy logic conjugated with the Taguchi design of experiments was used. The process parameters were optimized by grey relation analysis followed by fuzzification using Mamdani fuzzy engine and then optimized through Taguchi analysis. The parameter combination of speed 500 rpm, depth of cut of 1 mm, a feed rate of 0.05 mm/rev, cutting fluid flow rate at high level, and TiAlN/WC-C coating was found to be the optimum input parameters. The confirmatory test was also performed to validate the hybrid optimization approach.
中文翻译:
通过涂层插件和灰模糊耦合田口优化方法实现AISI 1015结构钢的加工效率
多目标优化技术已成为选择切削参数的关键步骤。这项研究的目的是在加工AISI 1015钢时分析涂层硬质合金刀片的性能特征,以其测得的输出响应为依据。本文旨在在车削过程中同时考虑多种响应(例如表面粗糙度和后刀面磨损)时优化加工参数,例如速度,切削深度,进给速率,切削液流速和涂层材料。这项研究还打算科学地研究加工参数对AISI 1015结构钢加工过程中质量指标的影响。阴极电弧蒸发涂层氮化钛铝(TiAlN),氮化钛铝/碳化钨碳(TiAlN / WC-C),研究中使用了未涂层的CNC刀片。进行SEM和能量色散X射线分析以确认涂层元素的存在。测量了带涂层的纯刀片的显微硬度,与纯和带涂层的刀具相比,TiAlN / WC-C涂层的刀具显示出22.11 GPa的更高硬度。这项研究使用了五个过程参数,每个阶段分三个阶段。实验设计基于田口的L27个正交数组。在这项研究中,使用了一种多目标混合优化技术,其中包括与Taguchi设计的实验相结合的灰色关联和模糊逻辑。通过灰色关联分析优化工艺参数,然后使用Mamdani模糊引擎进行模糊化,然后通过Taguchi分析进行优化。最佳的输入参数是转速500 rpm,切削深度1 mm,进给速度0.05 mm / rev,高切削液流速和TiAlN / WC-C涂层的参数组合。还进行了验证性测试以验证混合优化方法。