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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2018-01-01
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Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201822101002 |
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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 |
work_keys_str_mv |
AT singhbhupinder empiricalmodelingofaveragecuttingspeedduringwedmofgasturbinealloy AT misrajoyprakash empiricalmodelingofaveragecuttingspeedduringwedmofgasturbinealloy |
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