Performance investigations and comparisons of green machining between CNC-turning of EN24 & EN9 steels

International Conference on Mechanical, Materials and Renewable Energy

机械制造;材料科学;能源学

Zishanur Rahman, Md.^1 ; Kumar Das, Alok^1 ; Chattopadhyaya, Somnath^1 ; Reyaz, Md.^2 ; Aon Ahmad, Md.^2 ; Farzeen, Saima^2

Department of Mechanical Engineering, Indian Institute of Technology (ISM), Dhanbad, Jharkhand

826004, India^1

Department of Mechanical Engineering, Maulana Azad College of Engineering and Technology, Neora, Patna, Bihar

801115, India^2

关键词: Average surface roughness;    Environment friendly;    Machining parameters;    Machining performance;    Material removal rate;    Second-order regression model;    Statistical analysis methods;    Taguchi orthogonal arrays;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/377/1/012079/pdf
DOI  :  10.1088/1757-899X/377/1/012079

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In metal machining process, use of cutting fluids have several disadvantages such as increase in machining cost, poor operator health, environmental impacts etc.. Green machining is a metal machining process in which cutting fluids are not used. Therefore it is a cost effective an environment-friendly approach and it is being adopted fast by the metal-machining industries. This article focuses on the investigations and comparisons into the effects of green machining (dry machining) on the surface roughness in CNC-turning of EN24 and EN9 steels. This article also focuses on the investigation of optimum machining parameters for the surface-roughness and material removal rate (MRR) in CNC-turning of EN24 and EN9 steels using Taguchi method. For the experiments, L9 Taguchi orthogonal array design was selected, and all experiments were carried out under dry machining conditions. The statistical analysis methods such as S/N ratio of Taguchi method and ANOVA were employed to investigate the influence of machining parameters on the average surface-roughness (Ra) and MRR. All experimental data of Ra and MRR were used to develop second-order regression-models. In last, machining performance comparison between EN24 and EN9 steels under dry/green cutting condition on the basis of surface-roughness obtained were carried out.