Artificial Neural Network for Predicting Hardness of Multistage Solutionized and Artificially Aged LM4 + TiB2 Composites
Author:
Affiliation:
1. Manipal Academy of Higher Education, India
Publisher
FapUNIFESP (SciELO)
Subject
Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science
Link
http://www.scielo.br/pdf/mr/v25/1516-1439-mr-25-e20210557.pdf
Reference37 articles.
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3. Effect of homogenization temperature on mechanical and tribological properties of LM4 cast alloy;Mohapatra S;Mater Today Proc.,2020
4. Processing, multiscale microstructure refinement and mechanical property enhancement of hypoeutectic Al–Si alloys via in situ bimodal-sized TiB2 particles;Li Q;Mater Sci Eng A,2020
5. Dry reciprocating wear of Al-Si-SiCp composites: a statistical analysis;Rajeev VR;Tribol Int,2010
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4. Experimental Investigation to Confirm the Presence of TiB2 Reinforcements in the Matrix and Effect of Artificial Aging on Hardness and Tensile Properties of Stir-Cast LM4-TiB2 Composite;Crystals;2022-08-09
5. Optimization and prediction of the hardness behaviour of LM4 + Si3N4 composites using RSM and ANN: A comparative study;Journal of Applied Engineering Science;2022
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