Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.scriptamat.2009.02.025
Title: Material characterization based on simulated spherical-Berkovich indentation tests
Authors: Harsono, E.
Swaddiwudhipong, S. 
Liu, Z.S.
Keywords: Artificial neural network
Finite element analysis
Indentation
Material characterization
Issue Date: Jun-2009
Source: Harsono, E., Swaddiwudhipong, S., Liu, Z.S. (2009-06). Material characterization based on simulated spherical-Berkovich indentation tests. Scripta Materialia 60 (11) : 972-975. ScholarBank@NUS Repository. https://doi.org/10.1016/j.scriptamat.2009.02.025
Abstract: Material properties can be extracted from load-displacement indentation curves via appropriate reverse data analysis. This reverse analysis can, however, be conveniently carried out using neural networks. We propose an artificial neural network model to extract material properties based on a simulated spherical and Berkovich indentation database. The proposed model can predict accurately the elastoplastic properties of a new set of materials. © 2009 Acta Materialia Inc.
Source Title: Scripta Materialia
URI: http://scholarbank.nus.edu.sg/handle/10635/65786
ISSN: 13596462
DOI: 10.1016/j.scriptamat.2009.02.025
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