Optimization Of Multiple Performance Characteristics In Electro Discharge Machining Using Grey Relational Analysis
Journal: International Journal of Scientific & Technology Research (Vol.3, No. 4)Publication Date: 2014-04-15
Authors : Subhakanta Nayak; B.C.Routara;
Page : 116-121
Keywords : Key words ANOVA; EDM; EWR; Grey Relational analysis; MRR; Optimization; Surface Roughness; Taguchi Method;
Abstract
Abstract This paper discusses the application of the Taguchi method to optimize the machining parameters for machining of tungsten carbide in electro-discharge machining EDM for individual responses such as material removal rate electrode wear rate and surface roughness. Moreover a multi-response performance characteristic was used for optimization of process parameters with application of grey relational analysis. The machining parameters are selected as current pulse-on-time and pulse-off-time where as the response variables selected as material removal rate MRR electrode wear rate EWR and surface roughness Ra. The results from confirmation runs indicated that the determined optimal combination of machining parameters improved the performance of the machining process.
Other Latest Articles
- Implementation Of Double Closed-Loop Control System For Unmanned Ground Vehicles
- Perception Of Inhabitants In Bui Township On Causes And Effects Of Onchocerciasis Ghana
- Coal Resource Evaluation And Models A Case Study From Parts Of Okobo And Enjema In Kogi State Within The Lower Coal Measures Of Mamu Formation Nigeria
- Reliable Energy Efficient Routing Algorithms In Wireless Ad Hoc Networks
- Weight Optimization Of Empennage Of Light Weight Aircraft
Last modified: 2015-06-28 03:54:56