Numerical Modelling of Nanocomposites Using GA and FD Techniques

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Use of nanocomposites is increasing rapidly due to their enhanced thermal and structural properties. In the present work, the numerical modelling of nanocomposites is conducted with the help of the (GA) genetic algorithm and (FD) finite difference techniques to find out a set of nanocomposites with best thermal and structural properties. The genetic algorithm is utilized to find out the best set of nanocomposites on the basis of thermal and structural properties while the finite difference technique is utilized to solve the heat conduction equation. Different nanocomposites considered in the present work are Al-B4C, Al-SiC and Al-Al2O3. The weight percentage of these nanocomposites is varied to see its effect on the nanocomposites properties. In the end, the solidification curve for all the nanocomposites is plotted and analysed. Result reveals that GA helps in identifying the best set of nanocomposites while FD technique helps in predicting the solidification curve accurately. Increment in the wt. % of nanocomposites makes the solidification curve steeper.

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August 2019

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[1] Ramesh CS, Jagadeesh SK and Keshavamurthy R (2011) Solidification Studies on Sand Cast Al 6061–SiCp Composites. Journal of Alloys and Compounds, 509S:S371-S374.

DOI: 10.1016/j.jallcom.2011.01.077

Google Scholar

[2] Muthazhagan C, Babu AG, Bhaskar GB and Rajkumar K (2013) Influence of Graphite Reinforcement on Mechanical Properties of Aluminium-Boron Carbide Composites. Advanced Material Research, 845:398-402.

DOI: 10.4028/www.scientific.net/amr.845.398

Google Scholar

[3] Nagaral M, Bharath V and Auradi V (2013) Effect of Al2O3 Particles on Mechanical and Wear Properties of 6061Al Alloy Metal Matrix Composites. Journal of Material Science and Engineering, 2(1):1-4.

DOI: 10.4172/2169-0022.1000120

Google Scholar

[4] Rajeshwari P and Dey TK (2016) Finite Element Modelling and Experimental Investigation on Effective Thermal Conductivity of AlN (Nano) Particles Reinforced HDPE Polymer Nanocomposites. Thermochimica Acta, 638:103-112.

DOI: 10.1016/j.tca.2016.06.016

Google Scholar

[5] Rahman MH and Rashed HMMA (2014) Characterization of Silicon Carbide Reinforced Aluminium Matrix Composites. Procedia Engineering, 90:103-109.

DOI: 10.1016/j.proeng.2014.11.821

Google Scholar

[6] Radhika N, Subramanian R and Prasat SV (2011) Tribological Behaviour of Aluminium/Alumina/Graphite Hybrid Metal Matrix Composite using Taguchi's Techniques. Journal of Mineral and Materials Characterization Engineering, 10(5):427-443.

DOI: 10.4236/jmmce.2011.105032

Google Scholar

[7] Zhang P, Xiao X and Ma ZW (2016) A Review of the Composite Phase Change Materials: Fabrication, Characterization, Mathematical Modelling and Application to Performance Enhancement. Applied Energy, 165:472-510.

DOI: 10.1016/j.apenergy.2015.12.043

Google Scholar

[8] Sudindra S and Kumar AC (2013) Studies on Al6061/Al2O3 and Graphite Hybrid Metal Matrix Composites. International Journal of Metallurgy and Material Science Engineering, 3(3):35-42.

Google Scholar

[9] Venkatesan A, Gopinath VM and Rajadurai A (2005) Simulation of Casting Solidification and its Grain Structure Prediction using FEM. Journal of Material Processing Technology, 168:10-15.

DOI: 10.1016/j.jmatprotec.2004.09.090

Google Scholar

[10] Jagadeesh SK, Ramesh CS, Mallikarjuna JM and Keshavamurthy R (2010) Prediction of Cooling Curves during Solidification of Al 6061–SiCp based Metal Matrix Composites using Finite Element Analysis. Journal of Materials Processing Technology, 210:618-623.

DOI: 10.1016/j.jmatprotec.2009.11.010

Google Scholar

[11] Zhang D and Nastac L (2014) Numerical Modelling of the Dispersion of Ceramic Nanoparticles during Ultrasonic Processing of Aluminium-based Nanocomposites. Journal of Materials Research and Technology, 3(4):296-302.

DOI: 10.1016/j.jmrt.2014.09.001

Google Scholar

[12] Hohe J, Fliegener S, Findeisen C, Reiser J, Widak V and Rieth M (2016) Numerical Exploration into the Potential of Tungsten Reinforced CuCrZr Matrix Composites. Journal of Nuclear Materials, 470:13-29.

DOI: 10.1016/j.jnucmat.2015.11.056

Google Scholar

[13] Li M, Ghosh S, Richmond O, Weiland H and Rouns TN (1999) Three Dimensional Characterizations and Modelling of Particle Reinforced Metal Matrix Composites: Part I Quantitative Description of Microstructural Morphology. Material Science and Engineering, A265:153-173.

DOI: 10.1016/s0921-5093(98)01132-0

Google Scholar

[14] Shorowordi KM, Laoui T, Haseeb ASMA, Celis JP and Froyen L (2003) Microstructure and Interface Characteristics of B4C, SiC and Al2O3 Reinforced Al Matrix Composites: A Comparative Study. Journal of Materials Processing Technology, 142:738-743.

DOI: 10.1016/s0924-0136(03)00815-x

Google Scholar

[15] Cetin A and Kalkanli A (2009) Numerical Simulation of Solidification Kinetics in A356/SiCP Composites for Assessment of As-Cast Particle Distribution. Journal of Materials Processing Technology, 209:4795-4801.

DOI: 10.1016/j.jmatprotec.2008.12.007

Google Scholar

[16] Lelito J, Zak PL, Shirzadi AA, Greer AL, Krajewski WK, Suchy JS, Haberl K and Schumacher P (2012) Effect of SiC Reinforcement Particles on the Grain Density in a Magnesium-based Metal-Matrix Composite: Modelling and Experiment. Acta Materialla, 60:2950-2958.

DOI: 10.1016/j.actamat.2012.01.058

Google Scholar

[17] Barekar N, Tzamtzis S, Dhindaw BK, Patel J, HariBabu N and Fan Z (2009) Processing of Aluminum-Graphite Particulate Metal Matrix Composites by Advanced Shear Technology. Journal of Materials Engineering Performance, 18(9):1230-1240.

DOI: 10.1007/s11665-009-9362-5

Google Scholar

[18] Saheb DA (2011) Aluminium Silicon Carbide and Aluminium Graphite Particulate Composites. ARPN Journal of Engineering and Applied Science, 6(10):41-46.Kosti S and Pathak P (2018) Genetic Algorithm based Finite Difference Simulation of Solidification Process for MMC's. Materialstoday Proceedings, 5:8271-8291.

DOI: 10.1016/j.matpr.2017.11.518

Google Scholar

[19] Weiss D, Grassi J, Schultz B and Rohatagi P (2011) Ablation of Hybrid Metal Matrix Composites. American Foundry Society Proceeding, pp.1-7.

Google Scholar

[20] Shabani MO and Mazahery A (2012) Artificial Intelligence in Numerical Modelling of Nano Sized Ceramic Particulates Reinforced Metal Matrix Composites. Applied Mathematical Model, 36:5455-5465.

DOI: 10.1016/j.apm.2011.12.059

Google Scholar

[21] Shabani MO and Mazahery A (2013) Application of GA to Optimize the Process Conditions of Al Matrix Nano-Composites. Composites Part B: Engineering, 45:185-191.

DOI: 10.1016/j.compositesb.2012.07.045

Google Scholar

[22] Rohatagi PK (1993) Metal Matrix Composites. Defence Science Journal, 43(4):323-349.

Google Scholar

[23] Kosti S and Malvi CS (2018) Cumulative influence of nanoparticles on MMCs' time–temperature history curve. Nanomaterials and Energy, 7(1):1-10.

DOI: 10.1680/jnaen.17.00011

Google Scholar