A fuzzy-AHP and TOPSIS based approach for selection of metal matrix composite used in design and structural applications
| Autor: | Shwetank Avikal, Gaurav Kumar Badhotiya, Amit Kumar Singh, K.C. Nithin Kumar |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
business.industry Computer science Metal matrix composite Automotive industry chemistry.chemical_element TOPSIS 02 engineering and technology 021001 nanoscience & nanotechnology Multiple-criteria decision analysis 01 natural sciences Matrix (mathematics) chemistry Aluminium 0103 physical sciences Ultimate tensile strength Pairwise comparison 0210 nano-technology business Process engineering |
| Zdroj: | Materials Today: Proceedings. 46:11050-11053 |
| ISSN: | 2214-7853 |
| DOI: | 10.1016/j.matpr.2021.02.161 |
| Popis: | Composites are widely accepted in design, structural and automotive applications but metal matrix composite have an edge due to its excellent design properties. Various Metal Matrix Composite (MMCs) such as Titanium, Magnesium based, are widely used but, MMCs based on aluminium provide light weight to strength ratio and of course due to this novel property it is widely accepted in automobile and space industries. In AHMMC both matrix and reinforcement material play a significant role to achieve required design properties. Therefore, to obtain better results aluminium hybrid metal matrix composite (AHMMCs) are required to fabricate with best quantity of matrix material. Fuzzy AHP and TOPSIS are the MCDM tool which are widely used for complex problem solving. In this paper, parameter such as tensile strength, hardness, melting point, density and cost are selected and optimize using MCDM. The hybrid matrix material is 7XXX series of aluminium alloys. Using Fuzzy AHP and TOPSIS, all criteria are comparing among them pairwise for fabricating a suitable matrix. After obtain proper results, it has been found that AA7075 are considerable and appropriate matrix material. |
| Databáze: | OpenAIRE |
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