Investigation of Mechanical and Wear Behaviour of Al7075/SiC Composites Using Response Surface Methodology
This work studies the effect of reinforcement weight percentage (Wt.%SiC) on wear and mechanical behaviour of the aluminium 7075 composites produced by the powder metallurgy technique. The three different reinforcements weight percentage used in this study are to 5,10 and 15. The hardness and toughn...
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| Veröffentlicht in: | SILICON 2021-07, Vol.13 (7), p.2369-2379 |
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| creator | Surya, Mulugundam Siva Prasanthi, G. Gugulothu, S. K. |
| description | This work studies the effect of reinforcement weight percentage (Wt.%SiC) on wear and mechanical behaviour of the aluminium 7075 composites produced by the powder metallurgy technique. The three different reinforcements weight percentage used in this study are to 5,10 and 15. The hardness and toughness values reveals that with an increment in weight percentage of reinforcement, the mechanical properties decreases because of the development of large and more number of pores and agglomerations. The composites wear behaviour is examined by the wear testing equipment. The selected tribological parameters for the study are reinforcement weight percentage, applied load and sliding distance at three levels. The Design of Experiments, Box-Behnken method is used to design the number of experiments. ANOVA is used to find the effect of input parameters on output responses. The response surface methodology confirms that sliding distance and reinforcement weight percentage are two parameters which mostly affects wear loss. |
| doi_str_mv | 10.1007/s12633-020-00854-y |
| format | Article |
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K.</creator><creatorcontrib>Surya, Mulugundam Siva ; Prasanthi, G. ; Gugulothu, S. K.</creatorcontrib><description>This work studies the effect of reinforcement weight percentage (Wt.%SiC) on wear and mechanical behaviour of the aluminium 7075 composites produced by the powder metallurgy technique. The three different reinforcements weight percentage used in this study are to 5,10 and 15. The hardness and toughness values reveals that with an increment in weight percentage of reinforcement, the mechanical properties decreases because of the development of large and more number of pores and agglomerations. The composites wear behaviour is examined by the wear testing equipment. The selected tribological parameters for the study are reinforcement weight percentage, applied load and sliding distance at three levels. The Design of Experiments, Box-Behnken method is used to design the number of experiments. ANOVA is used to find the effect of input parameters on output responses. 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K.</creatorcontrib><title>Investigation of Mechanical and Wear Behaviour of Al7075/SiC Composites Using Response Surface Methodology</title><title>SILICON</title><addtitle>Silicon</addtitle><description>This work studies the effect of reinforcement weight percentage (Wt.%SiC) on wear and mechanical behaviour of the aluminium 7075 composites produced by the powder metallurgy technique. The three different reinforcements weight percentage used in this study are to 5,10 and 15. The hardness and toughness values reveals that with an increment in weight percentage of reinforcement, the mechanical properties decreases because of the development of large and more number of pores and agglomerations. The composites wear behaviour is examined by the wear testing equipment. The selected tribological parameters for the study are reinforcement weight percentage, applied load and sliding distance at three levels. 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| subjects | Chemistry Chemistry and Materials Science Composite materials Design of experiments Environmental Chemistry Hot pressing Inorganic Chemistry Interfacial bonding Lasers Load Materials Science Mechanical engineering Mechanical properties Methods Optical Devices Optics Original Paper Parameters Photonics Polymer Sciences Powder metallurgy Reinforcement Response surface methodology Silicon carbide Sintering Sliding Tribology |
| title | Investigation of Mechanical and Wear Behaviour of Al7075/SiC Composites Using Response Surface Methodology |
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