Open AccessA Neural Network Model for the Compressive Strength of a Hybrid LM6 Aluminium Alloy Composite
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1123.0882s819
Subject(s) - materials science , composite material , aluminium alloy , aluminium , composite number , reinforcement , alloy , compressive strength , flexibility (engineering) , structural engineering , statistics , mathematics , engineering
Adding more than one reinforcement increases the flexibility in composites. The objective of the work is to develop a model to predict the compressive strength in an LM6 aluminium alloy reinforced with SiC and flyash particles. Central composite rotatable design had been employed to carry out the experiments with size and composition of the reinforcements as the parameters. ANN model developed has good prediction accuracy with error being less than 5%.