Genetic algorithm approach for optimizing surface roughness of Near dry EDM

International Conference on Advances in Manufacturing, Materials and Energy Engineering 2018

材料科学;能源学

Khundrakpam, Nimo Singh^1,4 ; Brar, Gurinder Singh^2 ; Deepak, Dharmpal^3

IK Gujral Punjab Technical University, Kapurthala

144603, India^1

Department of Mechanical Engineering, Guru Nanak Dev Engineering College, Ludhiana

141006, India^2

Department of Mechanical Engineering, Punjabi University, Patiala

147002, India^3

Department of Mechanical Engineering, National Institute of Technology Manipur, Imphal

795004, India^4

关键词: Discharge currents;    Genetic algorithm approach;    Optimal process;    Process parameters;    Rotating speed;    Surface roughness (Ra);    Taguchi orthogonal arrays;    Validation test;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/376/1/012130/pdf
DOI  :  10.1088/1757-899X/376/1/012130

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In this paper, genetic algorithm (GA) approach is used in order to optimize the surface roughness (Ra) of near dry EDM (ND-EDM) surfaces. Taguchi orthogonal array of L27 is used as design of experiment for the five process parameters viz. pulse on time, duty factor, discharge current, gap voltage and tool rotating speed. ANOVA test was conducted and found that pulse on time was the most significant process parameters with 53.38% of contribution followed by duty factor and discharge current with 20.68% and 20.87% of contribution respectively. A regression mathematical model was developed and determined the relationship between the process parameters and surface roughness. GA approach was employed to optimize the process parameter. Then, a validation test was performed and confirmed the optimal process parameters values.