Multiobjective Optimization of Laser Polishing of Additively Manufactured Ti-6Al-4V Parts for Minimum Surface Roughness and Heat-Affected Zone
Metal parts produced by additive manufacturing often require postprocessing to meet the specifications of the final product, which can make the process chain long and complex. Laser post-processes can be a valuable addition to conventional finishing methods. Laser polishing, specifically, is proving...
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MDPI AG
2022-05-01
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| Series: | Materials |
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| Online Access: | https://www.mdpi.com/1996-1944/15/9/3323 |
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| author | Juliana S. Solheid Ahmed Elkaseer Torsten Wunsch Steffen Scholz Hans J. Seifert Wilhelm Pfleging |
| author_facet | Juliana S. Solheid Ahmed Elkaseer Torsten Wunsch Steffen Scholz Hans J. Seifert Wilhelm Pfleging |
| author_sort | Juliana S. Solheid |
| collection | DOAJ |
| description | Metal parts produced by additive manufacturing often require postprocessing to meet the specifications of the final product, which can make the process chain long and complex. Laser post-processes can be a valuable addition to conventional finishing methods. Laser polishing, specifically, is proving to be a great asset in improving the surface quality of parts in a relatively short time. For process development, experimental analysis can be extensive and expensive regarding the time requirement and laboratory facilities, while computational simulations demand the development of numerical models that, once validated, provide valuable tools for parameter optimization. In this work, experiments and simulations are performed based on the design of experiments to assess the effects of the parametric inputs on the resulting surface roughness and heat-affected zone depths. The data obtained are used to create both linear regression and artificial neural network models for each variable. The models with the best performance are then used in a multiobjective genetic algorithm optimization to establish combinations of parameters. The proposed approach successfully identifies an acceptable range of values for the given input parameters (laser power, focal offset, axial feed rate, number of repetitions, and scanning speed) to produce satisfactory values of Ra and HAZ simultaneously. |
| first_indexed | 2024-03-10T03:57:26Z |
| format | Article |
| id | doaj.art-64848a4f652349699980cd3a102c80f7 |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-10T03:57:26Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials |
| spelling | doaj.art-64848a4f652349699980cd3a102c80f72023-11-23T08:41:37ZengMDPI AGMaterials1996-19442022-05-01159332310.3390/ma15093323Multiobjective Optimization of Laser Polishing of Additively Manufactured Ti-6Al-4V Parts for Minimum Surface Roughness and Heat-Affected ZoneJuliana S. Solheid0Ahmed Elkaseer1Torsten Wunsch2Steffen Scholz3Hans J. Seifert4Wilhelm Pfleging5Institute for Applied Materials-Applied Materials Physics, Karlsruhe Institute of Technology, P.O. Box 3640, 76021 Karlsruhe, GermanyInstitute for Automation and Applied Informatics, Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, GermanyInstitute for Micro Process Engineering, Karlsruhe Institute of Technology, P.O. Box 3640, 76021 Karlsruhe, GermanyInstitute for Automation and Applied Informatics, Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, GermanyInstitute for Applied Materials-Applied Materials Physics, Karlsruhe Institute of Technology, P.O. Box 3640, 76021 Karlsruhe, GermanyInstitute for Applied Materials-Applied Materials Physics, Karlsruhe Institute of Technology, P.O. Box 3640, 76021 Karlsruhe, GermanyMetal parts produced by additive manufacturing often require postprocessing to meet the specifications of the final product, which can make the process chain long and complex. Laser post-processes can be a valuable addition to conventional finishing methods. Laser polishing, specifically, is proving to be a great asset in improving the surface quality of parts in a relatively short time. For process development, experimental analysis can be extensive and expensive regarding the time requirement and laboratory facilities, while computational simulations demand the development of numerical models that, once validated, provide valuable tools for parameter optimization. In this work, experiments and simulations are performed based on the design of experiments to assess the effects of the parametric inputs on the resulting surface roughness and heat-affected zone depths. The data obtained are used to create both linear regression and artificial neural network models for each variable. The models with the best performance are then used in a multiobjective genetic algorithm optimization to establish combinations of parameters. The proposed approach successfully identifies an acceptable range of values for the given input parameters (laser power, focal offset, axial feed rate, number of repetitions, and scanning speed) to produce satisfactory values of Ra and HAZ simultaneously.https://www.mdpi.com/1996-1944/15/9/3323laser polishingTi-6Al-4VAMsurface qualityheat-affected zoneartificial neural networks |
| spellingShingle | Juliana S. Solheid Ahmed Elkaseer Torsten Wunsch Steffen Scholz Hans J. Seifert Wilhelm Pfleging Multiobjective Optimization of Laser Polishing of Additively Manufactured Ti-6Al-4V Parts for Minimum Surface Roughness and Heat-Affected Zone Materials laser polishing Ti-6Al-4V AM surface quality heat-affected zone artificial neural networks |
| title | Multiobjective Optimization of Laser Polishing of Additively Manufactured Ti-6Al-4V Parts for Minimum Surface Roughness and Heat-Affected Zone |
| title_full | Multiobjective Optimization of Laser Polishing of Additively Manufactured Ti-6Al-4V Parts for Minimum Surface Roughness and Heat-Affected Zone |
| title_fullStr | Multiobjective Optimization of Laser Polishing of Additively Manufactured Ti-6Al-4V Parts for Minimum Surface Roughness and Heat-Affected Zone |
| title_full_unstemmed | Multiobjective Optimization of Laser Polishing of Additively Manufactured Ti-6Al-4V Parts for Minimum Surface Roughness and Heat-Affected Zone |
| title_short | Multiobjective Optimization of Laser Polishing of Additively Manufactured Ti-6Al-4V Parts for Minimum Surface Roughness and Heat-Affected Zone |
| title_sort | multiobjective optimization of laser polishing of additively manufactured ti 6al 4v parts for minimum surface roughness and heat affected zone |
| topic | laser polishing Ti-6Al-4V AM surface quality heat-affected zone artificial neural networks |
| url | https://www.mdpi.com/1996-1944/15/9/3323 |
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