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Multiresponse Optimization of Selective Laser Melting Parameters for the Ni-Cr-Al-Ti-Based Superalloy Using Gray Relational Analysis

The selective laser melting technology is of great interest in the aerospace industry since it allows the implementation of more complex part geometries compared to the traditional technologies. This paper presents the results of studies to determine the optimal technological parameters for scanning...

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Autores principales: Agapovichev, Anton V., Khaimovich, Alexander I., Smelov, Vitaliy G., Kokareva, Viktoriya V., Zemlyakov, Evgeny V., Babkin, Konstantin D., Kovchik, Anton Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10004078/
https://www.ncbi.nlm.nih.gov/pubmed/36903202
http://dx.doi.org/10.3390/ma16052088
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author Agapovichev, Anton V.
Khaimovich, Alexander I.
Smelov, Vitaliy G.
Kokareva, Viktoriya V.
Zemlyakov, Evgeny V.
Babkin, Konstantin D.
Kovchik, Anton Y.
author_facet Agapovichev, Anton V.
Khaimovich, Alexander I.
Smelov, Vitaliy G.
Kokareva, Viktoriya V.
Zemlyakov, Evgeny V.
Babkin, Konstantin D.
Kovchik, Anton Y.
author_sort Agapovichev, Anton V.
collection PubMed
description The selective laser melting technology is of great interest in the aerospace industry since it allows the implementation of more complex part geometries compared to the traditional technologies. This paper presents the results of studies to determine the optimal technological parameters for scanning a Ni-Cr-Al-Ti-based superalloy. However, due to a large number of factors affecting the quality of the parts obtained by selective laser melting technology, the optimization of the technological parameters of the scanning is a difficult task. In this work, the authors made an attempt to optimize the technological scanning parameters which will simultaneously correspond to the maximum values of the mechanical properties (“More is better”) and the minimum values of the dimensions of the microstructure defect (“Less is better”). Gray relational analysis was used to find the optimal technological parameters for scanning. Then, the resulting solutions were compared. As a result of the optimization of the technological parameters of the scanning by the gray relational analysis method, it was found that the maximum values of the mechanical properties were achieved simultaneously with the minimum values of the dimensions of a microstructure defect, at a laser power of 250 W and a scanning speed of 1200 mm/s. The authors present the results of the short-term mechanical tests for the uniaxial tension of the cylindrical samples at room temperature.
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spelling pubmed-100040782023-03-11 Multiresponse Optimization of Selective Laser Melting Parameters for the Ni-Cr-Al-Ti-Based Superalloy Using Gray Relational Analysis Agapovichev, Anton V. Khaimovich, Alexander I. Smelov, Vitaliy G. Kokareva, Viktoriya V. Zemlyakov, Evgeny V. Babkin, Konstantin D. Kovchik, Anton Y. Materials (Basel) Article The selective laser melting technology is of great interest in the aerospace industry since it allows the implementation of more complex part geometries compared to the traditional technologies. This paper presents the results of studies to determine the optimal technological parameters for scanning a Ni-Cr-Al-Ti-based superalloy. However, due to a large number of factors affecting the quality of the parts obtained by selective laser melting technology, the optimization of the technological parameters of the scanning is a difficult task. In this work, the authors made an attempt to optimize the technological scanning parameters which will simultaneously correspond to the maximum values of the mechanical properties (“More is better”) and the minimum values of the dimensions of the microstructure defect (“Less is better”). Gray relational analysis was used to find the optimal technological parameters for scanning. Then, the resulting solutions were compared. As a result of the optimization of the technological parameters of the scanning by the gray relational analysis method, it was found that the maximum values of the mechanical properties were achieved simultaneously with the minimum values of the dimensions of a microstructure defect, at a laser power of 250 W and a scanning speed of 1200 mm/s. The authors present the results of the short-term mechanical tests for the uniaxial tension of the cylindrical samples at room temperature. MDPI 2023-03-03 /pmc/articles/PMC10004078/ /pubmed/36903202 http://dx.doi.org/10.3390/ma16052088 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
Agapovichev, Anton V.
Khaimovich, Alexander I.
Smelov, Vitaliy G.
Kokareva, Viktoriya V.
Zemlyakov, Evgeny V.
Babkin, Konstantin D.
Kovchik, Anton Y.
Multiresponse Optimization of Selective Laser Melting Parameters for the Ni-Cr-Al-Ti-Based Superalloy Using Gray Relational Analysis
title Multiresponse Optimization of Selective Laser Melting Parameters for the Ni-Cr-Al-Ti-Based Superalloy Using Gray Relational Analysis
title_full Multiresponse Optimization of Selective Laser Melting Parameters for the Ni-Cr-Al-Ti-Based Superalloy Using Gray Relational Analysis
title_fullStr Multiresponse Optimization of Selective Laser Melting Parameters for the Ni-Cr-Al-Ti-Based Superalloy Using Gray Relational Analysis
title_full_unstemmed Multiresponse Optimization of Selective Laser Melting Parameters for the Ni-Cr-Al-Ti-Based Superalloy Using Gray Relational Analysis
title_short Multiresponse Optimization of Selective Laser Melting Parameters for the Ni-Cr-Al-Ti-Based Superalloy Using Gray Relational Analysis
title_sort multiresponse optimization of selective laser melting parameters for the ni-cr-al-ti-based superalloy using gray relational analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10004078/
https://www.ncbi.nlm.nih.gov/pubmed/36903202
http://dx.doi.org/10.3390/ma16052088
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