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Modeling of the wear behavior in A356–B4C composites

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Abstract

In this study, attempts were made to coat the boron carbide (B4C) powders with TiB2 via a sol–gel process. Different volume fraction of coated B4C particles were incorporated into the aluminum alloy by a mechanical stirrer and wear properties of unreinforced A356 alloy and composites with different vol% of coated B4C particles were experimentally investigated. Further study was carried out on the performance of artificial neural network (ANN) in prediction of the composites wear behavior. The finite element technique was implemented to obtain two of the inputs, cooling rate and temperature gradient. It is observed that predictions of ANN are consistent with experimental measurements for A356 composite and considerable savings in terms of cost and time could be obtained by using neural network model.

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Authors and Affiliations

  1. Materials and Energy Research Center (MERC), P.O. Box 14155-4777, Tehran, Iran

    Mohsen Ostad Shabani

  2. School of Metallurgy and Materials Engineering, University of Tehran, Tehran, Iran

    Ali Mazahery

Authors
  1. Mohsen Ostad Shabani
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  2. Ali Mazahery
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Correspondence to Mohsen Ostad Shabani.

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Shabani, M.O., Mazahery, A. Modeling of the wear behavior in A356–B4C composites. J Mater Sci 46, 6700–6708 (2011). https://doi.org/10.1007/s10853-011-5623-4

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  • DOI: https://doi.org/10.1007/s10853-011-5623-4

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