Effect of Stir Casting Process Parameters on Mechanical Properties of Aluminium Matrix Composites: Experimental Investigation and Predictive Modelling

Authors Manu Khare, Ravi Kant Gupta

Manipal University Jaipur, Jaipur, Rajasthan, India

Issue Volume 13, Year 2021, Number 2
Dates Received 10 January 2021; revised manuscript received 24 March 2021; published online 09 April 2021
Citation Manu Khare, Ravi Kant Gupta, J. Nano- Electron. Phys. 13 No 2, 02010 (2021)
DOI https://doi.org/10.21272/jnep.13(2).02010
PACS Number(s) 72.80.Tm, 81.05.Qk
Keywords Composite materials, Ceramic reinforcement, Al2O3 (6) , B4C, Carbon black, ANN (62) , Mathematical modelling.

ANN (Artificial Neural Network) approach is used in this paper to model the complex nature of composites which have non-linear relationship with process parameters which effect their properties. The experiments were performed with different controlled input parameters like melting temperature, percentage reinforcement and die temperature on the mechanical performance of aluminium matrix composites fabricated through stir casting. Levenberg-Marquardt algorithm was employed to predict the properties of the composites. The work confirms that Neural Network learned by Levenberg-Marquardt Algorithm (NN- LMA) is a reliable method with high level of accuracy to predict the mechanical properties of the composites fabricated using stir casting.

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