Modeling and multi-objective optimization of WEDM of spark plasma sintered boron carbide considering preferences of users

International Conference on Mechanical, Materials and Renewable Energy

机械制造;材料科学;能源学

Pramanick, A.^1 ; Kumar, R.^1 ; Mandal, S.^1 ; Dey, P.P.^1 ; Das, P.K.^2

Department of Mechanical Engineering, IIEST, Shibpur, Howrah

West Bengal, India^1

NOCCD, CSIR-CGCRI, Jadavpur, Kolkata

West Bengal, India^2

关键词: Developed model;    Genetic-algorithm optimizations;    Machining parameters;    Multiresponse optimization;    Process parameters;    Surface characteristics;    Surface roughness (Ra);    Wire electrical discharge machining;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/377/1/012094/pdf
DOI  :  10.1088/1757-899X/377/1/012094

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In this research work, development of a multi-response optimization technique was performed, using Genetic Algorithm (GA) optimization technique in wire electrical discharge machining (WEDM) keeping in mind about the priorities of multiple users. Boron carbide has been selected as work piece for experiment. The effect of five process parameters such as pulse on time (Ton), pulse off time (Toff), peak current (IP), water pressure (WP), servo feed (SF), were investigated on the responses such as machining speed and surface roughness (Ra) in WEDM operation. Further, two responses were modeled empirically through regression analysis. The developed models can be used by the machinists to predict the machining as well as the surface characteristics over a wide range of machining input parameters. The analysis of variance (ANOVA) is also applied to investigate the effect of influential input parameters. Finally, the confirmation experiments were conducted with optimal set of machining parameters and minor deviations have been found.