Optimization of machining parameters in turning of Al-SiC-Gr hybrid metal matrix composites using grey-fuzzy algorithm

Metal matrix composites reinforced with graphite particles provide better machinability and tribological properties. The present study attempts to find the optimal level of machining parameters for multi-performance characteristics in turning of Al-SiC-Gr hybrid composites using grey-fuzzy algorithm...

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Vydané v:Transactions of Nonferrous Metals Society of China Ročník 24; číslo 9; s. 2805 - 2814
Hlavní autori: SURESH, P., MARIMUTHU, K., RANGANATHAN, S., RAJMOHAN, T.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 01.09.2014
Predmet:
Algorithms
Aluminum
grey-fuzzy algorithm
hybrid composite
Hybrid composites
Machinability
Metal matrix composites
Optimization
Particulate composites
Turning
grey-fuzzy algorithm
hybrid composite
optimization
turning
ISSN:1003-6326
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Shrnutí:Metal matrix composites reinforced with graphite particles provide better machinability and tribological properties. The present study attempts to find the optimal level of machining parameters for multi-performance characteristics in turning of Al-SiC-Gr hybrid composites using grey-fuzzy algorithm. The hybrid composites with 5%, 7.5% and 10% combined equal mass fraction of SiC-Gr particles were used for the study and their corresponding tensile strength values are 170, 210, 204 MPa respectively. Al-10%(SiC-Gr) hybrid composite provides better machinability when compared with composites with 5% and 7.5% of SiC-Gr. Grey-fuzzy logic approach offers improved grey-fuzzy reasoning grade and has less uncertainties in the output when compared with grey relational technique. The confirmatory test reveals an increase in grey-fuzzy reasoning grade from 0.619 to 0.891, which substantiates the improvement in multi-performance characteristics at the optimal level of process parameters setting.
Bibliografia:ObjectType-Article-1
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content type line 23
ISSN:1003-6326
DOI:10.1016/S1003-6326(14)63412-9