Optimization of Reinforced Aluminium Scraps from the Automobile Bumpers with Nickel and Magnesium Oxide in Stir Casting
| Autor: | S. Dinesh Kumar, Dawit Tafesse, L. Ponraj Sankar, T. Sathish, A. Parthiban, Vineeth Vijayan, S. S. Saravanakumar |
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| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
Materials science Article Subject Magnesium Metallurgy Metal matrix composite General Engineering chemistry.chemical_element 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Nickel Rockwell scale Taguchi methods chemistry Aluminium visual_art 0103 physical sciences Ultimate tensile strength TA401-492 Aluminium alloy visual_art.visual_art_medium General Materials Science 0210 nano-technology Materials of engineering and construction. Mechanics of materials |
| Zdroj: | Advances in Materials Science and Engineering, Vol 2021 (2021) |
| ISSN: | 1687-8442 1687-8434 |
| DOI: | 10.1155/2021/3735438 |
| Popis: | Here, the investigation is spotlighted on the aluminium alloy from the waste materials of the automobile bumpers which is a reinforced metal matrix composite created with 5 percentage of nickel and 5 percentage of magnesium oxide through the stir casting method. The stir casting process inputs parameters such as pressure of squeezing, time of squeezing, and speed of stirrer which were optimized based on the two mechanical properties’ outcome such as the tensile strength (TS) and Rockwell hardness. There are nine different experiments which were conducted based on the L9 array. The Taguchi method is used to identify the optimum input values for the greatest result of the processing condition by Minitab software. The responses-based parameters were ordered based on the rank identified through the investigational effects. Finally, the optimized input consideration values and the linear equations are recommended for both the considered outputs as conclusions. |
| Databáze: | OpenAIRE |
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