An investigation of material removal rate and kerf on WEDM through grey relational analysis
This paper describes an investigation on the optimization of process parameters on the Material Removal Rate (MRR) and kerf in Wire Electrical Discharge Machining (WEDM) operations. The experiments were carried out under varying pulse ON/OFF time, peak current, and wire feed by using Taguchi L9 o...
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| Format: | Article |
| Language: | English |
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Universiti Malaysia Pahang Publishing
2018-06-01
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| Series: | Journal of Mechanical Engineering and Sciences |
| Subjects: | |
| Online Access: | https://journal.ump.edu.my/jmes/article/view/7908 |
| _version_ | 1797699311778136064 |
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| author | J.M. Pujara K.D. Kothari A.V. Gohil |
| author_facet | J.M. Pujara K.D. Kothari A.V. Gohil |
| author_sort | J.M. Pujara |
| collection | DOAJ |
| description | This paper describes an investigation on the optimization of process parameters on the
Material Removal Rate (MRR) and kerf in Wire Electrical Discharge Machining
(WEDM) operations. The experiments were carried out under varying pulse ON/OFF
time, peak current, and wire feed by using Taguchi L9 orthogonal array. Grey
Relational Analysis (GRA) optimization technique is used to find the optimal selection
of process parameters for improvement in WEDM performance. The deviation of the
kerf and material removal rate with process parameters is mathematically modeled by
using Response Surface Methodology (RSM). The adequacy of the developed
mathematical models is checked by Analysis of Variance (ANOVA). The problem is
formulated as a multi-objective optimization as the influence of process input variables
on material removal rate and kerf is conflicting in nature. Based on statistical analysis, it
has been found that pulse on time, peak current is adequately influential parameters for
MRR while pulse off time, peak current, and wire feed adequately influential for the
kerf. Confirmation test result shows the application of the optimization technique for
predicting optimal combinations of input variables for better output responses. |
| first_indexed | 2024-03-12T04:06:13Z |
| format | Article |
| id | doaj.art-d4c0a3c1d27d40f68c58721ae6cddec4 |
| institution | Directory Open Access Journal |
| issn | 2289-4659 2231-8380 |
| language | English |
| last_indexed | 2024-03-12T04:06:13Z |
| publishDate | 2018-06-01 |
| publisher | Universiti Malaysia Pahang Publishing |
| record_format | Article |
| series | Journal of Mechanical Engineering and Sciences |
| spelling | doaj.art-d4c0a3c1d27d40f68c58721ae6cddec42023-09-03T11:18:02ZengUniversiti Malaysia Pahang PublishingJournal of Mechanical Engineering and Sciences2289-46592231-83802018-06-011223633364410.15282/jmes.12.2.2018.10.0322An investigation of material removal rate and kerf on WEDM through grey relational analysisJ.M. Pujara0K.D. Kothari1A.V. Gohil2NoneNoneNoneThis paper describes an investigation on the optimization of process parameters on the Material Removal Rate (MRR) and kerf in Wire Electrical Discharge Machining (WEDM) operations. The experiments were carried out under varying pulse ON/OFF time, peak current, and wire feed by using Taguchi L9 orthogonal array. Grey Relational Analysis (GRA) optimization technique is used to find the optimal selection of process parameters for improvement in WEDM performance. The deviation of the kerf and material removal rate with process parameters is mathematically modeled by using Response Surface Methodology (RSM). The adequacy of the developed mathematical models is checked by Analysis of Variance (ANOVA). The problem is formulated as a multi-objective optimization as the influence of process input variables on material removal rate and kerf is conflicting in nature. Based on statistical analysis, it has been found that pulse on time, peak current is adequately influential parameters for MRR while pulse off time, peak current, and wire feed adequately influential for the kerf. Confirmation test result shows the application of the optimization technique for predicting optimal combinations of input variables for better output responses.https://journal.ump.edu.my/jmes/article/view/7908wire electrical discharge machining; metal matrix composites; material removal rate; kerf; response surface methodology; optimization. |
| spellingShingle | J.M. Pujara K.D. Kothari A.V. Gohil An investigation of material removal rate and kerf on WEDM through grey relational analysis Journal of Mechanical Engineering and Sciences wire electrical discharge machining; metal matrix composites; material removal rate; kerf; response surface methodology; optimization. |
| title | An investigation of material removal rate and kerf on WEDM through grey relational analysis |
| title_full | An investigation of material removal rate and kerf on WEDM through grey relational analysis |
| title_fullStr | An investigation of material removal rate and kerf on WEDM through grey relational analysis |
| title_full_unstemmed | An investigation of material removal rate and kerf on WEDM through grey relational analysis |
| title_short | An investigation of material removal rate and kerf on WEDM through grey relational analysis |
| title_sort | investigation of material removal rate and kerf on wedm through grey relational analysis |
| topic | wire electrical discharge machining; metal matrix composites; material removal rate; kerf; response surface methodology; optimization. |
| url | https://journal.ump.edu.my/jmes/article/view/7908 |
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