Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jmatprotec.2006.09.033
Title: Development of processing maps for Al/SiCp composite using fuzzy logic
Authors: Ramanathan, S.
Karthikeyan, R.
Gupta, M. 
Keywords: Flow stress prediction
Fuzzy logic
Metal matrix composites
Processing maps
Regression analysis
Issue Date: 5-Mar-2007
Citation: Ramanathan, S., Karthikeyan, R., Gupta, M. (2007-03-05). Development of processing maps for Al/SiCp composite using fuzzy logic. Journal of Materials Processing Technology 183 (1) : 104-110. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jmatprotec.2006.09.033
Abstract: In the present study the aluminium reinforced with 10% SiCp particulate composites were produced through powder metallurgy route and processing map was developed. The composite specimens were subjected to compression test at different strains, strain rates and temperatures. Using the load-stroke data, flow stress-strain were evaluated. Fuzzy logic has been implemented for the prediction of flow stress. Power dissipation efficiency and instability parameter were evaluated and plotted with temperature and stain rate using the predicted values of flow stress from fuzzy logic. The contour plots were superimposed to obtain the processing maps. The dynamic recrystallisation zones and instable zones were identified and validated through micrographs. The processing maps can be used to select optimum strain rates and temperatures for effective hot working of Al/10% SiC composites. © 2006 Elsevier B.V. All rights reserved.
Source Title: Journal of Materials Processing Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/85004
ISSN: 09240136
DOI: 10.1016/j.jmatprotec.2006.09.033
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