Examination of Machining Parameters and Prediction of Cutting Velocity and Surface Roughness Using RSM and ANN Using WEDM of Altemp HX
The Altemp HX is a nickel-based superalloy having many applications in chemical, nuclear, aerospace, and marine industries. Machining such superalloys is challenging as it may cause both tool and surface damage. WEDM, a non-contact machining technique, can be employed in the machining of such alloys...
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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/10.1155/2022/5192981 |
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| author | I. V. Manoj Hargovind Soni S. Narendranath P. M. Mashinini Fuat Kara |
| author_facet | I. V. Manoj Hargovind Soni S. Narendranath P. M. Mashinini Fuat Kara |
| author_sort | I. V. Manoj |
| collection | DOAJ |
| description | The Altemp HX is a nickel-based superalloy having many applications in chemical, nuclear, aerospace, and marine industries. Machining such superalloys is challenging as it may cause both tool and surface damage. WEDM, a non-contact machining technique, can be employed in the machining of such alloys. In the present study, different input parameters which include pulse on time, wire span, and servo gap voltage were investigated. The cutting velocity, surface roughness, recast layer, and microhardness variations were examined on the WEDMed surface. The genetic algorithm was used to optimize the cutting velocity and surface roughness, thereby improving the overall quality of the product. The highest recast layer values were recorded as 25.8 µm, and the lowest microhardness was 170 HV. Response surface methodology and artificial neural network were employed for the prediction of cutting velocity and surface roughness. Artificial neural network prediction technique was the most efficient method for the prediction of response parameters as it predicted an error percentage lesser than 6%. |
| format | Article |
| id | doaj-art-cfc10ed2aa914dd2977382aec897425e |
| institution | DOAJ |
| issn | 1687-8442 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-cfc10ed2aa914dd2977382aec897425e2025-08-20T03:19:46ZengWileyAdvances in Materials Science and Engineering1687-84422022-01-01202210.1155/2022/5192981Examination of Machining Parameters and Prediction of Cutting Velocity and Surface Roughness Using RSM and ANN Using WEDM of Altemp HXI. V. Manoj0Hargovind Soni1S. Narendranath2P. M. Mashinini3Fuat Kara4Department of Mechanical EngineeringDepartment of Mechanical and Industrial Engineering TechnologyDepartment of Mechanical EngineeringDepartment of Mechanical and Industrial Engineering TechnologyDüzce University EngineeringThe Altemp HX is a nickel-based superalloy having many applications in chemical, nuclear, aerospace, and marine industries. Machining such superalloys is challenging as it may cause both tool and surface damage. WEDM, a non-contact machining technique, can be employed in the machining of such alloys. In the present study, different input parameters which include pulse on time, wire span, and servo gap voltage were investigated. The cutting velocity, surface roughness, recast layer, and microhardness variations were examined on the WEDMed surface. The genetic algorithm was used to optimize the cutting velocity and surface roughness, thereby improving the overall quality of the product. The highest recast layer values were recorded as 25.8 µm, and the lowest microhardness was 170 HV. Response surface methodology and artificial neural network were employed for the prediction of cutting velocity and surface roughness. Artificial neural network prediction technique was the most efficient method for the prediction of response parameters as it predicted an error percentage lesser than 6%.http://dx.doi.org/10.1155/2022/5192981 |
| spellingShingle | I. V. Manoj Hargovind Soni S. Narendranath P. M. Mashinini Fuat Kara Examination of Machining Parameters and Prediction of Cutting Velocity and Surface Roughness Using RSM and ANN Using WEDM of Altemp HX Advances in Materials Science and Engineering |
| title | Examination of Machining Parameters and Prediction of Cutting Velocity and Surface Roughness Using RSM and ANN Using WEDM of Altemp HX |
| title_full | Examination of Machining Parameters and Prediction of Cutting Velocity and Surface Roughness Using RSM and ANN Using WEDM of Altemp HX |
| title_fullStr | Examination of Machining Parameters and Prediction of Cutting Velocity and Surface Roughness Using RSM and ANN Using WEDM of Altemp HX |
| title_full_unstemmed | Examination of Machining Parameters and Prediction of Cutting Velocity and Surface Roughness Using RSM and ANN Using WEDM of Altemp HX |
| title_short | Examination of Machining Parameters and Prediction of Cutting Velocity and Surface Roughness Using RSM and ANN Using WEDM of Altemp HX |
| title_sort | examination of machining parameters and prediction of cutting velocity and surface roughness using rsm and ann using wedm of altemp hx |
| url | http://dx.doi.org/10.1155/2022/5192981 |
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