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Optimization of heat treatment parameters of medium carbon steel quenched in different media using Taguchi method and grey relational analysis

机译:使用TAGUCHI法和灰色关系分析在不同媒体中淬火中碳钢热处理参数的优化

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摘要

Quenching is one of the major processes of heat treatment of medium carbon steel that aims at improving its mechanical properties. However, the effectiveness of this process is dependent on several control factors that must be maximized to obtain optimum results in terms of hardness, yield strength, ultimate tensile strength among others. This study aims at optimizing the process of improving the mechanical properties of medium carbon steel by varying some key factors like the quenchant used (A), heat treatment temperature (B), and soaking time (C). The measured responses in this study were the hardness, yield strength (YS), and ultimate tensile strength (UTS). Optimization was conducted in two stages. The first stage dealt with the mono-optimization of process parameters using Taguchi's Signal-to-Noise (S/N) ratio. A total of nine (9) experiments were performed based on standard L9 orthogonal array because each of the three control factors has three (3) levels. The second stage was multi-objective optimization using Taguchi-based grey relational analysis (GRA). The optimal conditions for hardness, YS, and UTS were obtained at A2B3C3, A3B2C3, and A3B3C3, respectively. Using ANOVA as statistical analysis, it was observed that the soaking time was the main control factor for all three measured responses (31.95% contribution ratio for hardness, 62.46%, and 66.76% for YS and UTS, respectively), while the quenchant had the least contribution. Analysis of the Taguchi-based GRA revealed that the results obtained are in total conformance to that of the Taguchi method, with soaking time having the highest contribution ratio of 69.41%.
机译:淬火是旨在改善其机械性能的中碳钢的热处理的主要方法之一。然而,该过程的有效性取决于必须最大化的若干控制因子,以获得硬度,屈服强度,最终拉伸强度等方面的最佳结果。本研究旨在通过改变所用淬火剂(A),热处理温度(B)和浸泡时间(C)等一些关键因素来优化提高中碳钢的力学性能的过程。该研究中的测量反应是硬度,屈服强度(Ys)和最终拉伸强度(UT)。优化在两个阶段进行。使用Taguchi的信号 - 噪声(S / N)比例,第一阶段涉及过程参数的单一优化。基于标准L9正交阵列进行总共九(9)个实验,因为三种控制因子中的每一个具有三(3)个水平。第二阶段是使用基于Taguchi的灰色关系分析(GRA)的多目标优化。在A2B3C3,A3B2C3和A3B3C3中获得硬度,Ys和UTS的最佳条件。使用ANOVA作为统计分析,观察到浸泡时间是所有三种测量的反应的主要控制因素(31.95%的硬度贡献比,62.46%和ys和UTs的66.76%),而猝灭剂有最不贡献。基于Taguchi的GRA分析显示所获得的结果与Taguchi方法的总一致性,浸泡时间具有69.41%的最高贡献比。

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