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To Study the Output Parameter of Non Traditional Machining of Cryogenically Treated Work Piece

Ombir Singh and Mohmad Abbas
Department of Mechanical Engineering, A.F.S.E.T, Faridabad, India

Abstract—This Study about output parameter of Non Traditional machining, i.e., Which are not used conventionally like Electrical Discharge Machining (EDM) is a machining method primarily used for hard metals or those that would be very difficult to machine with traditional techniques, here it is used for cryogenically treated work piece. In simple terms, EDM is a manufacturing process whereby a desired shape is obtained using electrical discharges (sparks). Though EDM is criticized for its low productivity; it secures its market demand due to its high accuracy, finishing, ability of machining hard materials and to produce intricate shapes. In this research work, experimental investigations have been made to compare the machining characteristics of three Alloy steel materials, before and after deep cryogenic treatment using EDM. The output parameters for study are material removal rate, tool wear and surface roughness. The results of study suggest that cryogenic treatment has a significant positive effect on the machining characteristics of alloy steels-tool wear decreases and surface finish of the workpiece after machining improves for all three alloy steels. The best improvement in tool wear and surface roughness is reported by High Carbon High Chromium (HCHCr) followed by WC 6 and then by WC 9. At the same time a slight decrease is observed in Material Removal Rate. However, taking into consideration that tool wear and surface finish of the workpiece after machining are more important parameters in EDM, it can be recommended that cryogenically treated Alloy steels can be efficiently machined through EDM.

Index Terms—Electrical Discharge Machining (EDM), Cryogenics, Alloy steel

Cite: Ombir Singh and Mohmad Abbas, "To Study the Output Parameter of Non Traditional Machining of Cryogenically Treated Work Piece," International Journal of Mechanical Engineering and Robotics Research, Vol. 2, No. 4, pp. 25-35, October 2013.