Evaluation of Prediction Models of the Microwire EDM Process of Inconel 718 Using ANN and RSM Methods
Precise machining of micro parts from difficult-to-cut materials requires using advanced technology such as wire electrical discharge machining (WEDM). In order to enhance the productivity of micro WEDM, the key role is understanding the influence of process parameters on the surface topography and...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Materials |
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| Online Access: | https://www.mdpi.com/1996-1944/15/23/8317 |
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| author | Dorota Oniszczuk-Świercz Rafał Świercz Štefan Michna |
| author_facet | Dorota Oniszczuk-Świercz Rafał Świercz Štefan Michna |
| author_sort | Dorota Oniszczuk-Świercz |
| collection | DOAJ |
| description | Precise machining of micro parts from difficult-to-cut materials requires using advanced technology such as wire electrical discharge machining (WEDM). In order to enhance the productivity of micro WEDM, the key role is understanding the influence of process parameters on the surface topography and the material’s removal rate (<i>MRR</i>). Furthermore, effective models which allow us to predict the influence of the parameters of micro-WEDM on the qualitative effects of the process are required. This paper influences the discharge energy, time interval, and wire speed on the surface topography’s properties, namely <i>Sa</i>, <i>Sk</i>, <i>Spk</i>, <i>Svk</i>, and <i>MRR</i>, after micro-WEDM of Inconel 718 were described. Developed RSM and ANN model of the micro-WEDM process, showing that the discharge energy had the main influence (over 70%) on the surface topography’s parameters. However, for <i>MRR</i>, the time interval was also significant. Furthermore, a reduction in wire speed can lead to a decrease in the cost process and have a positive influence on the environment and sustainability of the process. Evaluation of developed prediction models of micro-WEDM of Inconel 718 indicates that ANN had a lower value for the relative error compared with the RSM models and did not exceed 4%. |
| first_indexed | 2024-03-09T17:43:08Z |
| format | Article |
| id | doaj.art-faca7e11d95444dfa74d1d6bd5ee223c |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-09T17:43:08Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials |
| spelling | doaj.art-faca7e11d95444dfa74d1d6bd5ee223c2023-11-24T11:26:43ZengMDPI AGMaterials1996-19442022-11-011523831710.3390/ma15238317Evaluation of Prediction Models of the Microwire EDM Process of Inconel 718 Using ANN and RSM MethodsDorota Oniszczuk-Świercz0Rafał Świercz1Štefan Michna2Institute of Manufacturing Technology, Warsaw University of Technology, 02-524 Warsaw, PolandInstitute of Manufacturing Technology, Warsaw University of Technology, 02-524 Warsaw, PolandFaculty of Mechanical Engineering, Jan Evangelista Purkyně University in Ústí nad Labem, 400 01 Usti nad Labem, Czech RepublicPrecise machining of micro parts from difficult-to-cut materials requires using advanced technology such as wire electrical discharge machining (WEDM). In order to enhance the productivity of micro WEDM, the key role is understanding the influence of process parameters on the surface topography and the material’s removal rate (<i>MRR</i>). Furthermore, effective models which allow us to predict the influence of the parameters of micro-WEDM on the qualitative effects of the process are required. This paper influences the discharge energy, time interval, and wire speed on the surface topography’s properties, namely <i>Sa</i>, <i>Sk</i>, <i>Spk</i>, <i>Svk</i>, and <i>MRR</i>, after micro-WEDM of Inconel 718 were described. Developed RSM and ANN model of the micro-WEDM process, showing that the discharge energy had the main influence (over 70%) on the surface topography’s parameters. However, for <i>MRR</i>, the time interval was also significant. Furthermore, a reduction in wire speed can lead to a decrease in the cost process and have a positive influence on the environment and sustainability of the process. Evaluation of developed prediction models of micro-WEDM of Inconel 718 indicates that ANN had a lower value for the relative error compared with the RSM models and did not exceed 4%.https://www.mdpi.com/1996-1944/15/23/8317wire electrical discharge machiningsurface topographyRSMANNInconel |
| spellingShingle | Dorota Oniszczuk-Świercz Rafał Świercz Štefan Michna Evaluation of Prediction Models of the Microwire EDM Process of Inconel 718 Using ANN and RSM Methods Materials wire electrical discharge machining surface topography RSM ANN Inconel |
| title | Evaluation of Prediction Models of the Microwire EDM Process of Inconel 718 Using ANN and RSM Methods |
| title_full | Evaluation of Prediction Models of the Microwire EDM Process of Inconel 718 Using ANN and RSM Methods |
| title_fullStr | Evaluation of Prediction Models of the Microwire EDM Process of Inconel 718 Using ANN and RSM Methods |
| title_full_unstemmed | Evaluation of Prediction Models of the Microwire EDM Process of Inconel 718 Using ANN and RSM Methods |
| title_short | Evaluation of Prediction Models of the Microwire EDM Process of Inconel 718 Using ANN and RSM Methods |
| title_sort | evaluation of prediction models of the microwire edm process of inconel 718 using ann and rsm methods |
| topic | wire electrical discharge machining surface topography RSM ANN Inconel |
| url | https://www.mdpi.com/1996-1944/15/23/8317 |
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