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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Main Authors: Singh Bhupinder, Misra Joy Prakash
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201822101002
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spelling doaj-a4c62a9609d64d619e4a53d17a26f2072021-02-02T05:50:39ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012210100210.1051/matecconf/201822101002matecconf_icdme2018_01002Empirical Modeling of Average Cutting Speed during WEDM of Gas Turbine AlloySingh Bhupinder0Misra Joy Prakash1Dept. of Mechanical Engineering, National Institute of TechnologyDept. of Mechanical Engineering, National Institute of TechnologyCutting 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.https://doi.org/10.1051/matecconf/201822101002
collection DOAJ
language English
format Article
sources DOAJ
author Singh Bhupinder
Misra Joy Prakash
spellingShingle Singh Bhupinder
Misra Joy Prakash
Empirical Modeling of Average Cutting Speed during WEDM of Gas Turbine Alloy
MATEC Web of Conferences
author_facet Singh Bhupinder
Misra Joy Prakash
author_sort Singh Bhupinder
title Empirical Modeling of Average Cutting Speed during WEDM of Gas Turbine Alloy
title_short Empirical Modeling of Average Cutting Speed during WEDM of Gas Turbine Alloy
title_full Empirical Modeling of Average Cutting Speed during WEDM of Gas Turbine Alloy
title_fullStr Empirical Modeling of Average Cutting Speed during WEDM of Gas Turbine Alloy
title_full_unstemmed Empirical Modeling of Average Cutting Speed during WEDM of Gas Turbine Alloy
title_sort empirical modeling of average cutting speed during wedm of gas turbine alloy
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description 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.
url https://doi.org/10.1051/matecconf/201822101002
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