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Article

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

by
Anton V. Agapovichev
1,2,*,
Alexander I. Khaimovich
1,
Vitaliy G. Smelov
1,
Viktoriya V. Kokareva
1,
Evgeny V. Zemlyakov
3,
Konstantin D. Babkin
3 and
Anton Y. Kovchik
3
1
Engine Production Technology Department, Samara National Research University, 34 Moskovskoye Shosse, 443086 Samara, Russia
2
Turbomachinery and Heat Transfer Laboratory, Aerospace Engineering Department, Technion-Israel Institute of Technology, Haifa 3200003, Israel
3
World-Class Research Center “Advanced Digital Technologies”, State Marine Technical University, 190121 Saint Petersburg, Russia
*
Author to whom correspondence should be addressed.
Materials 2023, 16(5), 2088; https://doi.org/10.3390/ma16052088
Submission received: 30 September 2022 / Revised: 7 February 2023 / Accepted: 26 February 2023 / Published: 3 March 2023
(This article belongs to the Special Issue Laser Technologies in Metal-Based Materials)
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Abstract

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.
Keywords: additive manufacturing; selective laser melting; Ni-Cr-Al-Ti; metal powder; mechanical properties; microstructure; gray relational analysis additive manufacturing; selective laser melting; Ni-Cr-Al-Ti; metal powder; mechanical properties; microstructure; gray relational analysis

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MDPI and ACS Style

Agapovichev, A.V.; Khaimovich, A.I.; Smelov, V.G.; Kokareva, V.V.; Zemlyakov, E.V.; Babkin, K.D.; Kovchik, A.Y. Multiresponse Optimization of Selective Laser Melting Parameters for the Ni-Cr-Al-Ti-Based Superalloy Using Gray Relational Analysis. Materials 2023, 16, 2088. https://doi.org/10.3390/ma16052088

AMA Style

Agapovichev AV, Khaimovich AI, Smelov VG, Kokareva VV, Zemlyakov EV, Babkin KD, Kovchik AY. Multiresponse Optimization of Selective Laser Melting Parameters for the Ni-Cr-Al-Ti-Based Superalloy Using Gray Relational Analysis. Materials. 2023; 16(5):2088. https://doi.org/10.3390/ma16052088

Chicago/Turabian Style

Agapovichev, Anton V., Alexander I. Khaimovich, Vitaliy G. Smelov, Viktoriya V. Kokareva, Evgeny V. Zemlyakov, Konstantin D. Babkin, and Anton Y. Kovchik. 2023. "Multiresponse Optimization of Selective Laser Melting Parameters for the Ni-Cr-Al-Ti-Based Superalloy Using Gray Relational Analysis" Materials 16, no. 5: 2088. https://doi.org/10.3390/ma16052088

APA Style

Agapovichev, A. V., Khaimovich, A. I., Smelov, V. G., Kokareva, V. V., Zemlyakov, E. V., Babkin, K. D., & Kovchik, A. Y. (2023). Multiresponse Optimization of Selective Laser Melting Parameters for the Ni-Cr-Al-Ti-Based Superalloy Using Gray Relational Analysis. Materials, 16(5), 2088. https://doi.org/10.3390/ma16052088

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