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Optimization of CMT Characteristic Parameters for Swing Arc Additive Manufacturing of AZ91 Magnesium Alloy Based on Process Stability Analysis

The droplet transfer behavior and stability of the swing arc additive manufacturing process of AZ91 magnesium alloy based on the cold metal transfer (CMT) technique were studied by analyzing the electrical waveforms and high-speed droplet images as well as the forces on the droplet, and the Vilarinh...

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Autores principales: Zhang, Zhongrui, Shen, Junqi, Hu, Shengsun, Chen, Yang, Yin, Chengxuan, Bu, Xianzheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10143134/
https://www.ncbi.nlm.nih.gov/pubmed/37110072
http://dx.doi.org/10.3390/ma16083236
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author Zhang, Zhongrui
Shen, Junqi
Hu, Shengsun
Chen, Yang
Yin, Chengxuan
Bu, Xianzheng
author_facet Zhang, Zhongrui
Shen, Junqi
Hu, Shengsun
Chen, Yang
Yin, Chengxuan
Bu, Xianzheng
author_sort Zhang, Zhongrui
collection PubMed
description The droplet transfer behavior and stability of the swing arc additive manufacturing process of AZ91 magnesium alloy based on the cold metal transfer (CMT) technique were studied by analyzing the electrical waveforms and high-speed droplet images as well as the forces on the droplet, and the Vilarinho regularity index for short-circuit transfer (IV(SC)) based on variation coefficients was used to characterize the stability of the swing arc deposition process. The effect of the CMT characteristic parameters on the process stability was investigated; then, the optimization of the CMT characteristic parameters was realized based on the process stability analysis. The results show that the arc shape changed during the swing arc deposition process; thus, a horizontal component of the arc force was generated, which significantly affected the stability of the droplet transition. The burn phase current I_sc_wait presented a linear function relation with IV(SC), while the other three characteristic parameters, i.e., boost phase current I_boost, boost phase duration t_I_boost and short-circuiting current I_sc2, all had a quadratic correlation with IV(SC). A relation model of the CMT characteristic parameters and IV(SC) was established based on the rotatable 3D central composite design; then, the optimization of the CMT characteristic parameters was realized using a multiple-response desirability function approach.
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spelling pubmed-101431342023-04-29 Optimization of CMT Characteristic Parameters for Swing Arc Additive Manufacturing of AZ91 Magnesium Alloy Based on Process Stability Analysis Zhang, Zhongrui Shen, Junqi Hu, Shengsun Chen, Yang Yin, Chengxuan Bu, Xianzheng Materials (Basel) Article The droplet transfer behavior and stability of the swing arc additive manufacturing process of AZ91 magnesium alloy based on the cold metal transfer (CMT) technique were studied by analyzing the electrical waveforms and high-speed droplet images as well as the forces on the droplet, and the Vilarinho regularity index for short-circuit transfer (IV(SC)) based on variation coefficients was used to characterize the stability of the swing arc deposition process. The effect of the CMT characteristic parameters on the process stability was investigated; then, the optimization of the CMT characteristic parameters was realized based on the process stability analysis. The results show that the arc shape changed during the swing arc deposition process; thus, a horizontal component of the arc force was generated, which significantly affected the stability of the droplet transition. The burn phase current I_sc_wait presented a linear function relation with IV(SC), while the other three characteristic parameters, i.e., boost phase current I_boost, boost phase duration t_I_boost and short-circuiting current I_sc2, all had a quadratic correlation with IV(SC). A relation model of the CMT characteristic parameters and IV(SC) was established based on the rotatable 3D central composite design; then, the optimization of the CMT characteristic parameters was realized using a multiple-response desirability function approach. MDPI 2023-04-19 /pmc/articles/PMC10143134/ /pubmed/37110072 http://dx.doi.org/10.3390/ma16083236 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
Zhang, Zhongrui
Shen, Junqi
Hu, Shengsun
Chen, Yang
Yin, Chengxuan
Bu, Xianzheng
Optimization of CMT Characteristic Parameters for Swing Arc Additive Manufacturing of AZ91 Magnesium Alloy Based on Process Stability Analysis
title Optimization of CMT Characteristic Parameters for Swing Arc Additive Manufacturing of AZ91 Magnesium Alloy Based on Process Stability Analysis
title_full Optimization of CMT Characteristic Parameters for Swing Arc Additive Manufacturing of AZ91 Magnesium Alloy Based on Process Stability Analysis
title_fullStr Optimization of CMT Characteristic Parameters for Swing Arc Additive Manufacturing of AZ91 Magnesium Alloy Based on Process Stability Analysis
title_full_unstemmed Optimization of CMT Characteristic Parameters for Swing Arc Additive Manufacturing of AZ91 Magnesium Alloy Based on Process Stability Analysis
title_short Optimization of CMT Characteristic Parameters for Swing Arc Additive Manufacturing of AZ91 Magnesium Alloy Based on Process Stability Analysis
title_sort optimization of cmt characteristic parameters for swing arc additive manufacturing of az91 magnesium alloy based on process stability analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10143134/
https://www.ncbi.nlm.nih.gov/pubmed/37110072
http://dx.doi.org/10.3390/ma16083236
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