The Optimization of Machining Parameters on Surface Roughness for AISI D3 Steel

Author:

Khalil Khair,Mohd A.,Mohamad C. O. C.,Faizul Y.,Zainal Ariffin S

Abstract

Abstract Surface finish is one of the most important quality characteristics in manufacturing industries which influences the performance of mechanical parts. This research is focused on the optimization of machining parameters on surface roughness for parting or cut-off operation for the turning process. In machining operations, achieving desired surface quality features of the machined product are really a challenging job. These quality features are highly correlated and are expected to be influenced directly with the effect of process parameters used. Thus, the inputs of machining parameters such as cutting speed (v), feed rates (f) and depth of cut (d) have been selected and the experimental works were designed using the Response Surface Methodology (RSM) for machining AISI D3 steel. The results revealed that at a minimum cutting speed of 140m/min, a minimum feed rate of 0.01mm/rev and a minimum of depth of cut 1 mm give better surface finish. The study concludes that the surface roughness AISI D3 steel is greatly influenced by feed rate and cutting speed which is proven its reliability to obtain the desired level of surface roughness.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Ti6Al4V grinding using different lubrication modes for minimizing energy consumption;The International Journal of Advanced Manufacturing Technology;2023-03-22

2. Effect of Machining Parameters on Surface Quality of Aluminium Puncher for Microchannel Fabrication Using Micro Cutting Process;Lecture Notes in Mechanical Engineering;2023

3. Parametric study and multi-criteria optimization during turning of X210Cr12 steel using the desirability function and hybrid Taguchi-WASPAS method;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2022-05-19

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