Dynamic Modelling of PLC Instabilities Occurring in Depth Sensing Microhardness Tests

  1. Prof. Yves Bréchet
  1. G. Bérces and
  2. J. Lendvai

Published Online: 19 DEC 2005

DOI: 10.1002/3527606157.ch21

Microstructures, Mechanical Properties and Processes - Computer Simulation and Modelling, Volume 3

Microstructures, Mechanical Properties and Processes - Computer Simulation and Modelling, Volume 3

How to Cite

Bérces, G. and Lendvai, J. (2005) Dynamic Modelling of PLC Instabilities Occurring in Depth Sensing Microhardness Tests, in Microstructures, Mechanical Properties and Processes - Computer Simulation and Modelling, Volume 3 (ed Y. Bréchet), Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, FRG. doi: 10.1002/3527606157.ch21

Editor Information

  1. Institut Nat. Polytechnique de Grenoble, L.T.P.-C.M. ENSEEG, BP75, Domaine Universitaires, 38402 Saint Martin D'Hères Cedex, France; Tel.: 0033–76–82 6610; Fax: 0033–76–82 6644

Author Information

  1. Department of General Physics, Eötvös University, Budapest, Hungary

Publication History

  1. Published Online: 19 DEC 2005
  2. Published Print: 20 APR 2000

Book Series:

  1. EUROMAT 99

ISBN Information

Print ISBN: 9783527301225

Online ISBN: 9783527606153

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Keywords:

  • microstructures;
  • computer simulation;
  • mechanical properties;
  • PLC instabilities;
  • microhardness tests

Summary

Characteristic properties of plastic instabilities have been studied by depth sensing microhardness experiments on an Al-3.3wt%Mg alloy. A very regular stepwise increase has been observed in the indentation depth vs. time curves measured in constant loading rate mode. The oscillations around a nearly constant value of the conventional microhardness are correlated with plastic instabilities starting from the contact surface between the sample and the indenter head.

At low loading rates a static description could be applied to interpret the characteristics of the instability steps. At higher loading rates (70 mN/s and 35 mN/s), the static description becomes inadequate. For these cases computer simulations based on a macroscopic dynamic model of the experimental setup were developed and fitted to the experimentally measured curves.