Optimization of Surface Roughness: Effect of Machining Parameters on EN23 KRITI BARNWAL a , DEEPIKA MISHRA b and RAVI SHANKAR PRASAD b a Kisaan Steels Pvt Ltd, Ghaziabad and Research Scholar M Tech, BITs Pilani b Department of Mechanical Engineering, JK Lakshmipat University Jaipur Abstract. EN23 is one of the most commonly used materials to fabricate forging die in Indian industries. The dies are manufactured through machining process and the parameters of the machining process have considerable impact on the roughness value of the material's surface. While forging, it was found that die life varies with the change in the machining parametric value and this took my interest to investigate the area. Speed in rpm, feed in mm/rev, and depth of cut in mm were chosen as the process parameters for the investigation of the machining. Design of experiment was used to know the number of specimens required for proper investigation. Specimens were prepared using a L9 orthogonal array and a full factorial design. The optimal machining parameters were obtained using the Taguchi method. The optimal surface roughness value acquired using the L9 orthogonal array is fairly similar to the value obtained using the full factorial technique, according to a comparison of the results. Additionally, a mathematical tool called ANFIS was used to simulate the optimization process and anticipate the surface roughness values. Keywords. DoE, ANFIS, Machining Parameters, Process Optimization. 1. Introduction Manufacturing through turning, is one of the most commonly used fabricating process to shape metallic materials. While shaping material the quality of the product can be identified mostly due to its dimensional accuracy as well as its surface roughness. In traditional methods, dimensional accuracies were achieved usually due to machine capabilities and operators’ skills. With extensive use of CNC machine this limitation has been taken care in modern industries. The surface roughness depends on the machining parametric values and analysis of the process needs a well-defined method. There are various machining parameters that toggles the surface roughness of the machined products and found that the life of the die gets affected significantly. So different machining parametric values were opted to machine materials to get a desired surface roughness value. Surface roughness of high and medium carbon steels is least affected by other factors, such as cutting fluid and cutting tool, etc. [1]. The same can be modelled in ANFIS, which can also be used to find the surface roughness before performing machining. In order to perform analysis, there is a need to design the experiment to incorporate the variation in the input parameters to obtain the output parametric values. In the current study, the experiment was designed using a full factorial as well as a L9 orthogonal array. A method is necessary to optimise the process since it is highly challenging to determine Advanced Production and Industrial Engineering R.M. Singari and P.K. Kankar (Eds.) © 2022 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). doi:10.3233/ATDE220811 666