Effect of B4C, TiB2 and ZrSiO4 ceramic particles on mechanical properties of aluminium matrix composites: Experimental investigation and predictive modelling

By K. Shirvanimoghaddam, H. Khayyam, H. Abdizadeh, M. Akbari, A. Pakseresht, F. Abdi, A. Abbasi, M. Naebe. 2016

146 citations recorded by the source corpus.

This paper focuses on the influence of processing temperature and inclusion of micron-sized B4C, TiB2 and ZrSiO4 on the mechanical performance of aluminium matrix composites fabricated through stir casting. The ceramic/aluminium composite could withstand greater external loads, due to interfacial ceramic/aluminium bonding effect on the movement of grain and twin boundaries. Based on experimental results, the tensile strength and hardness of ceramic reinforced composite are significantly increased. The maximum improvement is achieved through adding ZrSiO4 and TiB2, which has led to 52% and 125% increase in tensile strength and hardness, respectively. To predict the effect of incorporating ceramic reinforcements on the mechanical properties of composites, experimental data of mechanical tests are used to create 3 models named Levenberg-Marquardt Algorithm (LMA) neural networks. The results show that the LMA- neural networks models have a high level of accuracy in the prediction of mechanical properties for ceramic reinforced-aluminium matrix composites.

Subfields: Aerospace Engineering, Ceramics and Composites, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/d7eb00abffcb76d1d9627206a692cce94e92192a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

  1. Kaushik M. Patel
  2. J. Suthar

In Ceramics and Composites

  1. Kaushik M. Patel
  2. J. Suthar

In Mechanical Engineering

  1. Kaushik M. Patel
  2. J. Suthar

Citations in the corpus