Enhancement Modelling Based on Electrical Discharge Machining Successive Discharges
The surface roughness of Inconel 718 is predicted using a sequential discharge model for electrical discharge machining (EDM). To begin with, the EDM single pulse discharge machining process was accurately simulated using the finite-element method (FEM). The surface topography under various discharg...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/8017375 |
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| author | Farook Nehad Abed V. Ramesh Mohanad Fadhil Jwaid Nidhi Agarwal Deepika Koundal Abdelrahman Mohamed Ibrahim |
| author_facet | Farook Nehad Abed V. Ramesh Mohanad Fadhil Jwaid Nidhi Agarwal Deepika Koundal Abdelrahman Mohamed Ibrahim |
| author_sort | Farook Nehad Abed |
| collection | DOAJ |
| description | The surface roughness of Inconel 718 is predicted using a sequential discharge model for electrical discharge machining (EDM). To begin with, the EDM single pulse discharge machining process was accurately simulated using the finite-element method (FEM). The surface topography under various discharge settings, the size, and the characteristic parameters of a single-pulse crater are simulated. Second, the material defines the discharge position as the minimum gap width between the work piece’s starting surface and the electrode in the removal model. The simulation shows that the magnitude of the single-pulse discharge energy influences the crater’s form and size. A difference in discharge energy causes a divergence in the increasing crater radius, depth, and flanging height trends. On the other hand, the ultimate surface morphology of an EDM machined surface is determined by the distribution of discharge locations around the parts in the workpiece; finally, machined surfaces are inspected using the same discharge parameters. The EDM work piece’s surface morphology matches the material removal. Between simulation and experiment, there is a relative error in surface roughness around 8.26%, and there is a relative error in surface roughness. |
| format | Article |
| id | doaj-art-04c8d23cc0ec41239150b496a4b1ccd4 |
| institution | Kabale University |
| issn | 1687-8442 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-04c8d23cc0ec41239150b496a4b1ccd42025-02-03T01:26:34ZengWileyAdvances in Materials Science and Engineering1687-84422022-01-01202210.1155/2022/8017375Enhancement Modelling Based on Electrical Discharge Machining Successive DischargesFarook Nehad Abed0V. Ramesh1Mohanad Fadhil Jwaid2Nidhi Agarwal3Deepika Koundal4Abdelrahman Mohamed Ibrahim5Faculty of Mechanical,Manufacturing EngineeringResearch Department of MathematicsAl-Imam University CollegeDepartment of Information TechnologyDepartment of SystemicsAccounting and Financial Management School of Management StudiesThe surface roughness of Inconel 718 is predicted using a sequential discharge model for electrical discharge machining (EDM). To begin with, the EDM single pulse discharge machining process was accurately simulated using the finite-element method (FEM). The surface topography under various discharge settings, the size, and the characteristic parameters of a single-pulse crater are simulated. Second, the material defines the discharge position as the minimum gap width between the work piece’s starting surface and the electrode in the removal model. The simulation shows that the magnitude of the single-pulse discharge energy influences the crater’s form and size. A difference in discharge energy causes a divergence in the increasing crater radius, depth, and flanging height trends. On the other hand, the ultimate surface morphology of an EDM machined surface is determined by the distribution of discharge locations around the parts in the workpiece; finally, machined surfaces are inspected using the same discharge parameters. The EDM work piece’s surface morphology matches the material removal. Between simulation and experiment, there is a relative error in surface roughness around 8.26%, and there is a relative error in surface roughness.http://dx.doi.org/10.1155/2022/8017375 |
| spellingShingle | Farook Nehad Abed V. Ramesh Mohanad Fadhil Jwaid Nidhi Agarwal Deepika Koundal Abdelrahman Mohamed Ibrahim Enhancement Modelling Based on Electrical Discharge Machining Successive Discharges Advances in Materials Science and Engineering |
| title | Enhancement Modelling Based on Electrical Discharge Machining Successive Discharges |
| title_full | Enhancement Modelling Based on Electrical Discharge Machining Successive Discharges |
| title_fullStr | Enhancement Modelling Based on Electrical Discharge Machining Successive Discharges |
| title_full_unstemmed | Enhancement Modelling Based on Electrical Discharge Machining Successive Discharges |
| title_short | Enhancement Modelling Based on Electrical Discharge Machining Successive Discharges |
| title_sort | enhancement modelling based on electrical discharge machining successive discharges |
| url | http://dx.doi.org/10.1155/2022/8017375 |
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