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- W2894408020 abstract "Powder metallurgy is one of the important processes in the production of aluminum composites, whose design is governed by optimal reinforcing properties such as type, volume fraction, and particle size. Given the variety of reinforcements in aluminum composites and different expected properties, Multi-Attributes Decision-Making (MADM) methods can be employed to find the best feasible option. The objective of the present study is to select an appropriate type of reinforcement in aluminum matrix composites (AA6061), made through mechanical milling and powder metallurgy processes. In this research, a combinative decision-making process including interval TOPSIS and fuzzy group weighing approaches was used for the selection of aluminum-based composite reinforced (for structural applications) by aluminum nitride, silicon nitride, zirconium boride, and carbon nanotubes, all of which have high tensile strength, elastic modulus and hardness, lightweight, and low cost. Integrated MADM method demonstrated that the silicon nitride is the optimal alternative for structural applications in such types of composite. The sensitivity analysis further indicated that the change in the weights of attributes did not change the preferred option order (silicon nitride), rather influencing the ranking orders of the second and third alternatives." @default.
- W2894408020 created "2018-10-05" @default.
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- W2894408020 date "2018-01-01" @default.
- W2894408020 modified "2023-09-27" @default.
- W2894408020 title "Selection of Optimal Aluminum-Based Composite Produced by Powder Metallurgy Process in Uncertain Environment" @default.
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- W2894408020 doi "https://doi.org/10.1007/978-981-13-2417-8_4" @default.
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