International Journal of Bioinformatics and Biomedical Engineering
Articles Information
International Journal of Bioinformatics and Biomedical Engineering, Vol.1, No.2, Sep. 2015, Pub. Date: Aug. 12, 2015
Impact of Microchannel Geometrical Parameters in W-EDM Using RSM
Pages: 137-142 Views: 1511 Downloads: 542
Authors
[01] Jagdeep Sharma, Chandigarh Group of Colleges Technical Campus, Jhanjeri, Mohali, Punjab, India.
[02] Sunny Puri, Chandigarh Group of Colleges Technical Campus, Jhanjeri, Mohali, Punjab, India.
[03] Pawan Jaglan, Chandigarh Group of Colleges Technical Campus, Jhanjeri, Mohali, Punjab, India.
[04] Akashdeep Singh, Chandigarh Group of Colleges Technical Campus, Jhanjeri, Mohali, Punjab, India.
[05] Harry Garg, Central Scientific Instruments Organisation, Chandigarh, India.
[06] Harvinder Singh, Mechanical Engineering Department, Punjabi University, Patiala, Punjab, India.
Abstract
In present research Micro channels have been fabricated using Wire Cut Electric Discharge Machining (WCEDM). In non-traditional machining processing, Wire Cut Electrical Discharge Machining (EDM) has tremendous potential on account of the versatility of its applications and it is expected that it will be successfully and commercially utilized in modern industries. Copper Micro channels are fabricated on Wire Cut EDM. These are heat transfer devices used for dissipation of heat from integrated circuits and other electronic devices. The performance of the micro-channels depends upon the machining parameters. In the proposed work, three input parameters of WCEDM are varied to get optimum responses. The parameters of WCEDM varied are peak current (Ip), Pulse on time (Ton) and pulse off time (Toff).The parameters of WEDM are varied in the ranges of (Ip from 100 to 200 ampere, Ton from 105 to 115 µsec and Toff from 25 to 45 µsec). Two responses material removal rate (MRR) and surface roughness (SR) are evaluated for Micro channels. Response Surface Methodology (RSM) is used to correlate input and output parameters and mathematical equations have been generated for both responses. The variation of responses due to variations in input parameters has also been studied and shown in the form of surface plots and contour plots. The surface roughness (Ra) of each machined work piece was measured using the Mitutoyo Talysurf (SJ – 201). Each experiment was repeated three times for better results and the average was calculated. It has been found that Ton and Toff parameters are very significant in case of MRR and Ton (Maximum) is most significant in case of surface roughness.
Keywords
W-EDM (Wire Electrical Discharge Machining), Microchannel, RSM (Response Surface Methodology), MRR (Material Removal Rate), SR (Surface Roughness)
References
[01] Gaikwad V.P, “Microchannelheatsink fabrication techniques,” IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) PP: 51-57.
[02] Kandlikar S.G, Grande. W.J” evolution of microchannel flow passages the rmohydraulic performance and fabrication technology,” Proceedings of IMECE2002 ASME International Mechanical Engineering Congress &Exposition, New Orleans, Louisiana, 2002.
[03] Huang J.T, Liao. Y.S,” Optimization of machining parameters of Wire-EDM based on Grey relational and statistical analyses” int. j. prod. res.,vol. 41, no. 8, 1707–1720.2003
[04] Tosun N, Cogun. C, Inan. A,” The Effect of Cutting Parameters on Workpiece Surface Roughness in Wire EDM”, MACHINING SCIENCE AND TECHNOLOGY, Vol. 7, No. 2,.pp. 209–219,2003.
[05] Lin Y.C, Cheng. C. H, Su. B, Hwang. L,” Machining Characteristics and Optimization of Machining Parameters of SKH 57 High-Speed Steel Using Electrical-Discharge Machining Based on Taguchi Method” Materials and Manufacturing Processes, 21:pp: 922–929, 2006.
[06] Yeakub Ali M, Sami Mohammad, A, et al.” Experimental Study of Conventional Wire Electrical Discharge Machining for Micro-fabrication” Materials and Manufacturing Processes,23,,pp :641–645.2008.
[07] Çayda U, Hascalik A, Ekici S,” An adaptive neuro-fuzzy inference system (ANFIS) model for wire EDM” Expert Systems with Applications 36 pp:6135–6139,2009.
[08] Kumar A, Maheshwari S, Sharma C, Beri N” A Study of Multiobjective Parametric Optimization of Silicon Abrasive Mixed Electrical Discharge Machining of Tool Steel” Materials& Manufacturing Processes, 25: pp.1041–1047,2010.
[09] Phipon R, Pardhan B” Process Parameters Optimization of Micro Electric Discharge Machining Process Using Genetic Algorithm” International Journal of Engineering Research and Applications. Vol. 2, Issue 5, pp.1986-1993.September- October 2012.
[10] Majumder A “Process parameter optimization during EDM of AISI 316 LN stainless steel by using fuzzy based multi-objective PSO”, Journal of Mechanical Science and Technology 27 (7) ,pp 2143~2151.2013.
[11] Habib S” Study of the parameters in electrical discharge machining through response surface methodology approach” Applied Mathematical modeling 33pp-4397-4407, 2009.
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