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Modeling and Prediction of Water-Jet-Guided Laser Cutting Depth for Inconel 718 Material Using Response Surface Methodology
In this study, the water-jet-guided laser (WJGL) method was used to cut Inconel 718 alloy with high temperature resistance. The effect of critical parameters of the water-jet-guided laser machining method on the cutting depth was studied by a Taguchi orthogonal experiment. Furthermore, the mathemati...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9965905/ https://www.ncbi.nlm.nih.gov/pubmed/36837934 http://dx.doi.org/10.3390/mi14020234 |
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author | Zhao, Chuang Zhao, Yugang Zhao, Dandan Liu, Qian Meng, Jianbing Cao, Chen Zheng, Zhilong Li, Zhihao Yu, Hanlin |
author_facet | Zhao, Chuang Zhao, Yugang Zhao, Dandan Liu, Qian Meng, Jianbing Cao, Chen Zheng, Zhilong Li, Zhihao Yu, Hanlin |
author_sort | Zhao, Chuang |
collection | PubMed |
description | In this study, the water-jet-guided laser (WJGL) method was used to cut Inconel 718 alloy with high temperature resistance. The effect of critical parameters of the water-jet-guided laser machining method on the cutting depth was studied by a Taguchi orthogonal experiment. Furthermore, the mathematical prediction model of cutting depth was established by the response surface method (RSM). The validation experiments showed that the mathematical model had a high predictive ability for cutting depth. The optimal cutting depth was obtained by model prediction, and the error was 5.5% compared with the experimental results. Compared with the traditional dry laser cutting, the water conducting laser method reduced the thermal damage and improved the cutting quality. This study provides a reference for the precision machining of Inconel 718 with a water-jet-guided laser. |
format | Online Article Text |
id | pubmed-9965905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99659052023-02-26 Modeling and Prediction of Water-Jet-Guided Laser Cutting Depth for Inconel 718 Material Using Response Surface Methodology Zhao, Chuang Zhao, Yugang Zhao, Dandan Liu, Qian Meng, Jianbing Cao, Chen Zheng, Zhilong Li, Zhihao Yu, Hanlin Micromachines (Basel) Article In this study, the water-jet-guided laser (WJGL) method was used to cut Inconel 718 alloy with high temperature resistance. The effect of critical parameters of the water-jet-guided laser machining method on the cutting depth was studied by a Taguchi orthogonal experiment. Furthermore, the mathematical prediction model of cutting depth was established by the response surface method (RSM). The validation experiments showed that the mathematical model had a high predictive ability for cutting depth. The optimal cutting depth was obtained by model prediction, and the error was 5.5% compared with the experimental results. Compared with the traditional dry laser cutting, the water conducting laser method reduced the thermal damage and improved the cutting quality. This study provides a reference for the precision machining of Inconel 718 with a water-jet-guided laser. MDPI 2023-01-17 /pmc/articles/PMC9965905/ /pubmed/36837934 http://dx.doi.org/10.3390/mi14020234 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhao, Chuang Zhao, Yugang Zhao, Dandan Liu, Qian Meng, Jianbing Cao, Chen Zheng, Zhilong Li, Zhihao Yu, Hanlin Modeling and Prediction of Water-Jet-Guided Laser Cutting Depth for Inconel 718 Material Using Response Surface Methodology |
title | Modeling and Prediction of Water-Jet-Guided Laser Cutting Depth for Inconel 718 Material Using Response Surface Methodology |
title_full | Modeling and Prediction of Water-Jet-Guided Laser Cutting Depth for Inconel 718 Material Using Response Surface Methodology |
title_fullStr | Modeling and Prediction of Water-Jet-Guided Laser Cutting Depth for Inconel 718 Material Using Response Surface Methodology |
title_full_unstemmed | Modeling and Prediction of Water-Jet-Guided Laser Cutting Depth for Inconel 718 Material Using Response Surface Methodology |
title_short | Modeling and Prediction of Water-Jet-Guided Laser Cutting Depth for Inconel 718 Material Using Response Surface Methodology |
title_sort | modeling and prediction of water-jet-guided laser cutting depth for inconel 718 material using response surface methodology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9965905/ https://www.ncbi.nlm.nih.gov/pubmed/36837934 http://dx.doi.org/10.3390/mi14020234 |
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