Author:
Ganapathy S,Palanivendhan M,Balasubramanian P,Suresh M
Abstract
Abstract
Electric discharge machining (EDM) is widely used in the manufacturing sector due to its exceptional machining attributes and high fastidiousness, which could not be accomplished via other conventional machining. The research work aims at analyzing the optimal machining parameter and to reduce the machining time by varies in an increase material removal rate (MRR) and productivity and low tool wear rate (TWR). The parameters of Peak current, Pulse on time, Di-Electric Pressure and Tool diameter are varied. The usage of variance analysis (ANOVA) optimized parameters are determined by way of doing diverse dry runs the usage of Response Surface Methodology (RSM) approach and the mistake percent can be mounted and parameter contribution for MRR and TWR have been also observed.
Reference11 articles.
1. Optimization of process parameters on EN24 tool steel using Taguchi technique in electro-discharge machining (EDM);Jeykrishnan;MS&E,2016
2. Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach;Gangopadhya;Engineering Science and Technology an International Journal,2015
3. Multi objective optimization of cutting parameter in EDM using grey taguchi method;Naik;International Journal of Science and Research,2013
4. Application of teaching learning-based optimization procedure for the development of SVM learned EDM process and its pseudo Pareto optimization;Ushasta;Applied Soft Computing,2016
5. A hybrid intelligent method for modelling the EDM process;Kesheng;International Journal of Machine Tools and Manufacture,2003
Cited by
1 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