Prediction of Surface Roughness of Ti-6Al-4V In Electrical Discharge Machining: A Regression Model
This paper develops a single order mathematical model for correlating the various electrical discharge machining (EDM) parameters and performance characteristics utilizing relevant experimental data as obtained through experimentation. Besides the effect of the peak ampere, pulse on time and pulse...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty Mechanical Engineering, UMP
2011
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/3865/1/FKM-2011-Mahadzir-predictionof_surface.pdf |
| _version_ | 1796989752127258624 |
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| author | M., Ishak Khan, Md. Ashikur Rahman M. M., Rahman K., Kadirgama M. A., Maleque |
| author_facet | M., Ishak Khan, Md. Ashikur Rahman M. M., Rahman K., Kadirgama M. A., Maleque |
| author_sort | M., Ishak |
| collection | UMP |
| description | This paper develops a single order mathematical model for correlating the various electrical discharge machining (EDM) parameters and performance characteristics
utilizing relevant experimental data as obtained through experimentation. Besides the effect of the peak ampere, pulse on time and pulse off time on surface roughness has
been investigated. Experiments have been conducted on titanium alloy Ti-6Al-4V with copper electrode retaining negative polarity as per Design of experiments (DOE).
Response surface methodology (RSM) techniques are utilized to develop the mathematical model as well as to optimize the EDM parameters. Analysis of Variance (ANOVA) has been performed for the validity test of fit and adequacy of the proposed models. It can be seen that increasing pulse on time causes the fine surface until a certain value and afterward deteriorates in the surface finish. The excellent surface finish is investigated in this study in the case of the pulse on time below 80 >s. This result guides to pick the required process outputs and economic industrial machining conditions optimizing the input factors. |
| first_indexed | 2024-03-06T11:41:45Z |
| format | Article |
| id | UMPir3865 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:41:45Z |
| publishDate | 2011 |
| publisher | Faculty Mechanical Engineering, UMP |
| record_format | dspace |
| spelling | UMPir38652018-01-25T06:51:41Z http://umpir.ump.edu.my/id/eprint/3865/ Prediction of Surface Roughness of Ti-6Al-4V In Electrical Discharge Machining: A Regression Model M., Ishak Khan, Md. Ashikur Rahman M. M., Rahman K., Kadirgama M. A., Maleque TJ Mechanical engineering and machinery This paper develops a single order mathematical model for correlating the various electrical discharge machining (EDM) parameters and performance characteristics utilizing relevant experimental data as obtained through experimentation. Besides the effect of the peak ampere, pulse on time and pulse off time on surface roughness has been investigated. Experiments have been conducted on titanium alloy Ti-6Al-4V with copper electrode retaining negative polarity as per Design of experiments (DOE). Response surface methodology (RSM) techniques are utilized to develop the mathematical model as well as to optimize the EDM parameters. Analysis of Variance (ANOVA) has been performed for the validity test of fit and adequacy of the proposed models. It can be seen that increasing pulse on time causes the fine surface until a certain value and afterward deteriorates in the surface finish. The excellent surface finish is investigated in this study in the case of the pulse on time below 80 >s. This result guides to pick the required process outputs and economic industrial machining conditions optimizing the input factors. Faculty Mechanical Engineering, UMP 2011 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/3865/1/FKM-2011-Mahadzir-predictionof_surface.pdf M., Ishak and Khan, Md. Ashikur Rahman and M. M., Rahman and K., Kadirgama and M. A., Maleque (2011) Prediction of Surface Roughness of Ti-6Al-4V In Electrical Discharge Machining: A Regression Model. Journal of Mechanical Engineering and Sciences (JMES), 1 (Dec 20). pp. 16-24. ISSN 2231-8380 (online). (Published) http://jmes.ump.edu.my/files/Volume%201/4%20Khan%20et%20al.pdf |
| spellingShingle | TJ Mechanical engineering and machinery M., Ishak Khan, Md. Ashikur Rahman M. M., Rahman K., Kadirgama M. A., Maleque Prediction of Surface Roughness of Ti-6Al-4V In Electrical Discharge Machining: A Regression Model |
| title | Prediction of Surface Roughness of Ti-6Al-4V In Electrical Discharge Machining: A Regression Model |
| title_full | Prediction of Surface Roughness of Ti-6Al-4V In Electrical Discharge Machining: A Regression Model |
| title_fullStr | Prediction of Surface Roughness of Ti-6Al-4V In Electrical Discharge Machining: A Regression Model |
| title_full_unstemmed | Prediction of Surface Roughness of Ti-6Al-4V In Electrical Discharge Machining: A Regression Model |
| title_short | Prediction of Surface Roughness of Ti-6Al-4V In Electrical Discharge Machining: A Regression Model |
| title_sort | prediction of surface roughness of ti 6al 4v in electrical discharge machining a regression model |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/3865/1/FKM-2011-Mahadzir-predictionof_surface.pdf |
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