Empirical Modeling of Average Cutting Speed during WEDM of Gas Turbine Alloy

Cutting speed (CS) is a key performance measure to achieve optimal utilization of the WEDM process. However, input process parameters of WEDM and combination of wire and workpiece material greatly hamper CS and hence productivity and machining efficiency. Therefore, it is essential to pick the right...

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Bibliographic Details
Main Authors: Singh, Bhupinder, Misra, Joy Prakash
Format: Conference Proceeding
Language:English
Subjects:
Cracks
Cutting parameters
Cutting speed
Empirical analysis
Energy levels
Gas turbines
Machining
Mathematical models
Microcracks
Nimonic alloys
Process parameters
Response surface methodology
Variance analysis
Wire
Workpieces
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Summary:Cutting speed (CS) is a key performance measure to achieve optimal utilization of the WEDM process. However, input process parameters of WEDM and combination of wire and workpiece material greatly hamper CS and hence productivity and machining efficiency. Therefore, it is essential to pick the right combination of parameters and wire and workpiece material to obtain better CS. In this paper, four process parameters: Ton, Toff, Sv, and Ip were chosen to develop an empirical model for CS during WEDM of nimonic 263 to provide a guideline to the potential users of the technique. This paper describes the response surface methodology (RSM) based mathematical modeling for average cutting speed. Furthermore, analysis of variance (ANOVA) was applied to find out significant process parameters and it was depicted that pulse on time and peak current were the major parameters affecting CS. In addition, WEDMed surfaces were analysed through FE-SEM at various discharge energy levels. The WEDMed surfaces appeared in the form of micro-cracks, craters, spherical droplets and the lump of debris. It is obvious from the current investigation that input parameters have the significant influence on cutting speed. The key features of experimental procedure are also highlighted in this paper.
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/201822101002