Modelling and optimisation of hardness behaviour of sintered Al/SiC composites using RSM and ANN: a comparative study

Modelling and optimisation of hardness behaviour of sintered Al/SiC composites using RSM and ANN: a comparative study

In present work, Aluminium matrix composites reinforced with x wt.% SiC (x = 5, 7.5 and 10) microparticles were synthesised by powder metallurgy route. The microhardness (VHN) of the Al/SiC composites were investigated using Response Surface Methodology (RSM) and artificial neural network (ANN) appr...

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Bibliographic Details
Main Authors: Mohammad Azad Alam, Hamdan H. Ya, Mohammad Azeem, Patthi Bin Hussain, Mohd Sapuan bin Salit, Rehan Khan, Sajjad Arif, Akhter Husain Ansari
Format: Article
Language:English
Published: Elsevier 2020-11-01
Series:Journal of Materials Research and Technology
Subjects:
Al–SiC composites
Powder metallurgy
Vickers Microhardness
Response surface methodology
Artificial neural networks
Online Access:http://www.sciencedirect.com/science/article/pii/S223878542031810X

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http://www.sciencedirect.com/science/article/pii/S223878542031810X

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