A Neural Network Model for the Compressive Strength of a Hybrid LM6 Aluminium Alloy Composite

A Neural Network Model for the Compressive Strength of a Hybrid LM6 Aluminium Alloy Composite

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 ex...

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Veröffentlicht in:International journal of recent technology and engineering 2019-09, Vol.8 (2S8), p.1652-1654
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description 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%.
doi_str_mv 10.35940/ijrte.B1123.0882S819
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title A Neural Network Model for the Compressive Strength of a Hybrid LM6 Aluminium Alloy Composite
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