EN
TR
Material Selection for Metal Additive Manufacturing Using Multi-Criteria Decision Making Methods
Abstract
Additive manufacturing has attracted attention as a new generation manufacturing method that has found widespread use in many industries in recent years due to its many advantages over traditional manufacturing methods. The materials used in metal additive manufacturing technology have a wide range. Therefore, making the ideal choice among these preferable materials is very important. Multi-criteria decision making (MCDM) techniques are reliable and effective methods in material selection processes and are effectively used in material selection processes. In this study, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and Additive Ratio Assessment (ARAS) methods were applied to the selection process among different criteria and materials for metal additive manufacturing. It was observed that AlSi12Cu2Fe material ranked first in the TOPSIS method, while H13 material ranked first in the ARAS method. The second place was taken by H13 material in the TOPSIS method and AlSi12Cu2Fe material in the ARAS method. A strong relationship exists between TOPSIS and ARAS methods with a Pearson correlation coefficient of 0.977. It has been concluded that it will be more effective to decide according to the nature of the technological application in the use of the materials that rank first two in TOPSIS and ARAS methods in additive manufacturing.
Keywords
References
- [1] Gao, W., Zhang, Y., Ramanujan, D., Ramani, K., Chen, Y., Williams, C. B., ... & Zavattieri, P. D. (2015). The status, challenges, and future of additive manufacturing in engineering. Computer-Aided Design, 69, 65-89.
- [2] Kadkhoda-Ahmadi, S., Hassan, A., & Asadollahi-Yazdi, E. (2019). Process and resource selection methodology in design for additive manufacturing. The International Journal of Advanced Manufacturing Technology, 104, 2013-2029.
- [3] Cooke, S., Ahmadi, K., Willerth, S., & Herring, R. (2020). Metal additive manufacturing: Technology, metallurgy and modelling. Journal of Manufacturing Processes, 57, 978-1003.
- [4] Gu, D., Shi, X., Poprawe, R., Bourell, D. L., Setchi, R., & Zhu, J. (2021). Material-structure-performance integrated laser-metal additive manufacturing. Science, 372(6545), eabg1487.
- [5] Bourell, D., Kruth, J. P., Leu, M., Levy, G., Rosen, D., Beese, A. M., & Clare, A. (2017). Materials for additive manufacturing. CIRP Annals, 66(2), 659-681.
- [6] Vaneker, T., Bernard, A., Moroni, G., Gibson, I., & Zhang, Y. (2020). Design for additive manufacturing: Framework and methodology. CIRP Annals, 69(2), 578-599.
- [7] Qin, Y., Qi, Q., Shi, P., Scott, P. J., & Jiang, X. (2023). Selection of materials in metal additive manufacturing via three-way decision-making. The International Journal of Advanced Manufacturing Technology, 126(3), 1293-1302.
- [8] Uz Zaman, U. K., Rivette, M., Siadat, A., & Mousavi, S. M. (2018). Integrated product-process design: Material and manufacturing process selection for additive manufacturing using multi-criteria decision making. Robotics and Computer-Integrated Manufacturing, 51, 169-180.
Details
Primary Language
English
Subjects
Optimization Techniques in Mechanical Engineering
Journal Section
Research Article
Early Pub Date
October 26, 2024
Publication Date
October 26, 2024
Submission Date
July 30, 2024
Acceptance Date
October 8, 2024
Published in Issue
Year 2024 Volume: 6 Number: 3
APA
Özakın, B., & Gültekin, K. (2024). Material Selection for Metal Additive Manufacturing Using Multi-Criteria Decision Making Methods. International Journal of Engineering and Innovative Research, 6(3), 151-161. https://doi.org/10.47933/ijeir.1525040
AMA
1.Özakın B, Gültekin K. Material Selection for Metal Additive Manufacturing Using Multi-Criteria Decision Making Methods. IJEIR. 2024;6(3):151-161. doi:10.47933/ijeir.1525040
Chicago
Özakın, Batuhan, and Kürşat Gültekin. 2024. “Material Selection for Metal Additive Manufacturing Using Multi-Criteria Decision Making Methods”. International Journal of Engineering and Innovative Research 6 (3): 151-61. https://doi.org/10.47933/ijeir.1525040.
EndNote
Özakın B, Gültekin K (October 1, 2024) Material Selection for Metal Additive Manufacturing Using Multi-Criteria Decision Making Methods. International Journal of Engineering and Innovative Research 6 3 151–161.
IEEE
[1]B. Özakın and K. Gültekin, “Material Selection for Metal Additive Manufacturing Using Multi-Criteria Decision Making Methods”, IJEIR, vol. 6, no. 3, pp. 151–161, Oct. 2024, doi: 10.47933/ijeir.1525040.
ISNAD
Özakın, Batuhan - Gültekin, Kürşat. “Material Selection for Metal Additive Manufacturing Using Multi-Criteria Decision Making Methods”. International Journal of Engineering and Innovative Research 6/3 (October 1, 2024): 151-161. https://doi.org/10.47933/ijeir.1525040.
JAMA
1.Özakın B, Gültekin K. Material Selection for Metal Additive Manufacturing Using Multi-Criteria Decision Making Methods. IJEIR. 2024;6:151–161.
MLA
Özakın, Batuhan, and Kürşat Gültekin. “Material Selection for Metal Additive Manufacturing Using Multi-Criteria Decision Making Methods”. International Journal of Engineering and Innovative Research, vol. 6, no. 3, Oct. 2024, pp. 151-6, doi:10.47933/ijeir.1525040.
Vancouver
1.Batuhan Özakın, Kürşat Gültekin. Material Selection for Metal Additive Manufacturing Using Multi-Criteria Decision Making Methods. IJEIR. 2024 Oct. 1;6(3):151-6. doi:10.47933/ijeir.1525040
