TITLE

MODELING AND PREDICTING ABRASIVE WEAR BEHAVIOUR OF POLY OXY METHYLENES USING RESPONSE SURFACE METHODOLGY AND NEURAL NETWORKS

AUTHOR(S)
Sagbas, A.; Kahraman, F.; Esme, U.
PUB. DATE
April 2009
SOURCE
Metalurgija;2009, Vol. 48 Issue 2, p117
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
In this study, abrasive wear behaviour of poly oxy methylenes (POM) under various testing conditions was investigated. A central composite design (CCD) was used to describe response and to estimate the parameters in the model. Response surface methodology (RSM) was adopted to obtain an empirical model of wear loss as a function of applied load and sliding distance. Also, a neural network (NN) model was developed for the prediction and testing of the results. Finally, a comparison was made between the results obtained from RSM and NN.
ACCESSION #
36621127

 

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