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Simultaneous Compositional and Grain Size Measurements Using Laser Opto-Ultrasonic Dual Detection for Additive Manufacturing

Metal-based additive manufacturing (AM) is a disruptive technique with great potential across multiple industries; however, its manufacturing quality is unstable, leading to an urgent requirement for component properties detection. The distribution of grain size has an important effect on many mecha...

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Autores principales: Ma, Yuyang, Hu, Xiujuan, Hu, Zhenlin, Sheng, Ziqian, Ma, Shixiang, Chu, Yanwu, Wan, Qing, Luo, Wei, Guo, Lianbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287923/
https://www.ncbi.nlm.nih.gov/pubmed/32456159
http://dx.doi.org/10.3390/ma13102404
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author Ma, Yuyang
Hu, Xiujuan
Hu, Zhenlin
Sheng, Ziqian
Ma, Shixiang
Chu, Yanwu
Wan, Qing
Luo, Wei
Guo, Lianbo
author_facet Ma, Yuyang
Hu, Xiujuan
Hu, Zhenlin
Sheng, Ziqian
Ma, Shixiang
Chu, Yanwu
Wan, Qing
Luo, Wei
Guo, Lianbo
author_sort Ma, Yuyang
collection PubMed
description Metal-based additive manufacturing (AM) is a disruptive technique with great potential across multiple industries; however, its manufacturing quality is unstable, leading to an urgent requirement for component properties detection. The distribution of grain size has an important effect on many mechanical properties in AM, while the distribution of added elements, such as titanium (Ti), has a measurable effect on the grain size of an aluminum (Al) alloy. Therefore, the detection of the distributions of grain size and elements is of great significance for AM. In this study, we investigated the distribution of grain size and elements simultaneously for wire + arc additive manufacturing (WAAM) with an Al alloy using laser opto-ultrasonic dual (LOUD) detection. The average grain size obtained from the acoustic attenuation of ultrasonic signals was consistent with the results of electron backscatter diffraction (EBSD), with a coefficient of determination (R(2)) of 0.981 for linear fitting. The Ti element distribution obtained from optical spectra showed that the enrichment of Ti corresponded to the grain refinement area in the detected area. The X-ray diffraction (XRD) spectra showed that the spectral peaks were moved from Al to AlTi and Al(2)Ti forms in the Ti-rich areas, which confirmed the LOUD results. The results indicated that LOUD detection holds promise for becoming an effective method of analyzing the mechanical and chemical properties of components simultaneously, which could help explain the complex physical and chemical changes in AM and ultimately improve the manufacturing quality.
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spelling pubmed-72879232020-06-15 Simultaneous Compositional and Grain Size Measurements Using Laser Opto-Ultrasonic Dual Detection for Additive Manufacturing Ma, Yuyang Hu, Xiujuan Hu, Zhenlin Sheng, Ziqian Ma, Shixiang Chu, Yanwu Wan, Qing Luo, Wei Guo, Lianbo Materials (Basel) Article Metal-based additive manufacturing (AM) is a disruptive technique with great potential across multiple industries; however, its manufacturing quality is unstable, leading to an urgent requirement for component properties detection. The distribution of grain size has an important effect on many mechanical properties in AM, while the distribution of added elements, such as titanium (Ti), has a measurable effect on the grain size of an aluminum (Al) alloy. Therefore, the detection of the distributions of grain size and elements is of great significance for AM. In this study, we investigated the distribution of grain size and elements simultaneously for wire + arc additive manufacturing (WAAM) with an Al alloy using laser opto-ultrasonic dual (LOUD) detection. The average grain size obtained from the acoustic attenuation of ultrasonic signals was consistent with the results of electron backscatter diffraction (EBSD), with a coefficient of determination (R(2)) of 0.981 for linear fitting. The Ti element distribution obtained from optical spectra showed that the enrichment of Ti corresponded to the grain refinement area in the detected area. The X-ray diffraction (XRD) spectra showed that the spectral peaks were moved from Al to AlTi and Al(2)Ti forms in the Ti-rich areas, which confirmed the LOUD results. The results indicated that LOUD detection holds promise for becoming an effective method of analyzing the mechanical and chemical properties of components simultaneously, which could help explain the complex physical and chemical changes in AM and ultimately improve the manufacturing quality. MDPI 2020-05-23 /pmc/articles/PMC7287923/ /pubmed/32456159 http://dx.doi.org/10.3390/ma13102404 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ma, Yuyang
Hu, Xiujuan
Hu, Zhenlin
Sheng, Ziqian
Ma, Shixiang
Chu, Yanwu
Wan, Qing
Luo, Wei
Guo, Lianbo
Simultaneous Compositional and Grain Size Measurements Using Laser Opto-Ultrasonic Dual Detection for Additive Manufacturing
title Simultaneous Compositional and Grain Size Measurements Using Laser Opto-Ultrasonic Dual Detection for Additive Manufacturing
title_full Simultaneous Compositional and Grain Size Measurements Using Laser Opto-Ultrasonic Dual Detection for Additive Manufacturing
title_fullStr Simultaneous Compositional and Grain Size Measurements Using Laser Opto-Ultrasonic Dual Detection for Additive Manufacturing
title_full_unstemmed Simultaneous Compositional and Grain Size Measurements Using Laser Opto-Ultrasonic Dual Detection for Additive Manufacturing
title_short Simultaneous Compositional and Grain Size Measurements Using Laser Opto-Ultrasonic Dual Detection for Additive Manufacturing
title_sort simultaneous compositional and grain size measurements using laser opto-ultrasonic dual detection for additive manufacturing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287923/
https://www.ncbi.nlm.nih.gov/pubmed/32456159
http://dx.doi.org/10.3390/ma13102404
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