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

Abstract

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 A 2 B 3 C 3 , A 3 B 2 C 3 , and A 3 B 3 C 3 , 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%.

Optimasi Parameter Karburisasi Temperatur Rendah Pada Baja Tahan Karat Austenitik Menggunakan Metode Taguchi

“…Metode Taguchi telah digunakan dalam berbagai penelitian terkait proses manufaktur pada berbagai material untuk mengoptimalkan pengaturan parameter prosesnya seperti pada proses pembubutan pada baja karbon [15], proses pelapisan listrik pada baja tahan karat [16], proses penggilingan pada baja untuk cetakan [17], dan proses perlakuan panas pada baja ringan, baja karbon, paduan alumunium dan paduan super berbasis nikel [18]- [21]. Dalam bidang perlakuan panas termokimia khususnya proses karburisasi, penerapan metode Taguchi belum banyak diteliti terutama untuk material baja tahan karat tipe austenitik.…”

Pengaruh Laju Pendingin Pada Proses Heat Treatment Terhadap Kekerasan Dan Struktur Mikro Baja Karbon S45C

“…Beberapa produksi dengan bahan baja sebagai bahan baku banyak digunakan untuk alat-alat perkakas dan komponen-komponen otomotif seperti roda gigi, poros dan komponen lainnya yang memerlukan kekerasan tinggi. Baja karbon digunakan dalam berbagai aplikasi karena mampu menghasilkan sifatsifat mekanik yang baik dengan pengaruh parameter yang menarik seperti komposisi paduan, suhu, laju pendinginan, dan perlakuan panas [1].…”

“…Perlakuan panas adalah proses peningkatan sifat-sifat mekanik yang berhubungan dengan pemanasan dan pendinginan logam dalam keadaan padat. Tujuan dari perlakuan panas adalah untuk memberikan sifat tertentu pada logam [1]. Perlakuan panas pada baja melalui proses gabungan antara pemanasan dan pendinginan yang terkontrol [2]- [4].…”

“…Material yang diberi perlakuan panas mengalami perubahan fase, mikrostruktur dan kristalografi [7][8]. Perlakuan panas juga dapat meningkatkan sifat mekanik baja seperti kekerasan, kekuatan luluh, kekuatan tarik, keuletan, dan ketahanan benturan [9]. Saat ini banyak penelitian untuk meningkatkan kekuatan dan kekerasan pada baja karbon dengan mekanisme perubahan fasa yaitu martensit [10].…”

Optimization of the water-based polyurethane with acrylate terminal process in nylon fabrics application using the Taguchi-based gray relational analysis method

“…It is an experimental design commonly used to evaluate the effect of parameters on the responses. 23,24 It is used in order to optimize a single response. Although the Taguchi method is a powerful optimization tool, it is not a suitable method for the simultaneous optimization of multi-objective functions.…”