Modelling of Kerf Width in Plasma Jet Metal Cutting Process using ANN Approach
In this paper Artificial Neural Network (ANN) model was developed for prediction of kerf width in plasma jet metal cutting process. Process parameters whose influence was analyzed are cutting height, cutting speed and arc current. An L18 (21x37) Taguchi orthogonal array experiment was conducted on a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2018-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/293194 |
| _version_ | 1827282927604465664 |
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| author | Ivan Peko Bogdan Nedić Aleksandar Đorđević Ivica Veža |
| author_facet | Ivan Peko Bogdan Nedić Aleksandar Đorđević Ivica Veža |
| author_sort | Ivan Peko |
| collection | DOAJ |
| description | In this paper Artificial Neural Network (ANN) model was developed for prediction of kerf width in plasma jet metal cutting process. Process parameters whose influence was analyzed are cutting height, cutting speed and arc current. An L18 (21x37) Taguchi orthogonal array experiment was conducted on aluminium sheet of 3 mm thickness. Using the experimental data a feed – forward backpropagation artificial neural network model was developed. After the prediction accuracy of the developed model was verified, the model was used to generate plots that show influence of process parameters and their interactions on analzyed kerf width and to get conlusions about process parameters values that lead to minimal kerf width. |
| first_indexed | 2024-04-24T09:27:18Z |
| format | Article |
| id | doaj.art-ef1034e3f77142e9bb620a2e3553426e |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:27:18Z |
| publishDate | 2018-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-ef1034e3f77142e9bb620a2e3553426e2024-04-15T14:43:36ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392018-01-0125240140610.17559/TV-20161024093323Modelling of Kerf Width in Plasma Jet Metal Cutting Process using ANN ApproachIvan Peko0Bogdan Nedić1Aleksandar Đorđević2Ivica Veža3Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Ruđera Boškovića 32, 21000 Split, CroatiaFaculty of Engineering, University of Kragujevac, Sestre Janjić 6, 34000 Kragujevac, SerbiaFaculty of Engineering, University of Kragujevac, Sestre Janjić 6, 34000 Kragujevac, SerbiaFaculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Ruđera Boškovića 32, 21000 Split, CroatiaIn this paper Artificial Neural Network (ANN) model was developed for prediction of kerf width in plasma jet metal cutting process. Process parameters whose influence was analyzed are cutting height, cutting speed and arc current. An L18 (21x37) Taguchi orthogonal array experiment was conducted on aluminium sheet of 3 mm thickness. Using the experimental data a feed – forward backpropagation artificial neural network model was developed. After the prediction accuracy of the developed model was verified, the model was used to generate plots that show influence of process parameters and their interactions on analzyed kerf width and to get conlusions about process parameters values that lead to minimal kerf width.https://hrcak.srce.hr/file/293194artificial neural networkskerf widthmodellingplasma jet metal cutting |
| spellingShingle | Ivan Peko Bogdan Nedić Aleksandar Đorđević Ivica Veža Modelling of Kerf Width in Plasma Jet Metal Cutting Process using ANN Approach Tehnički Vjesnik artificial neural networks kerf width modelling plasma jet metal cutting |
| title | Modelling of Kerf Width in Plasma Jet Metal Cutting Process using ANN Approach |
| title_full | Modelling of Kerf Width in Plasma Jet Metal Cutting Process using ANN Approach |
| title_fullStr | Modelling of Kerf Width in Plasma Jet Metal Cutting Process using ANN Approach |
| title_full_unstemmed | Modelling of Kerf Width in Plasma Jet Metal Cutting Process using ANN Approach |
| title_short | Modelling of Kerf Width in Plasma Jet Metal Cutting Process using ANN Approach |
| title_sort | modelling of kerf width in plasma jet metal cutting process using ann approach |
| topic | artificial neural networks kerf width modelling plasma jet metal cutting |
| url | https://hrcak.srce.hr/file/293194 |
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