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Development and characterization of glass/polyester composites filled with industrial wastes using statistical techniques

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Title Development and characterization of glass/polyester composites filled with industrial wastes using statistical techniques
 
Creator Ray, Subhrajit
Rout, Arun Kumar
Sahoo, Ashok Kumar
 
Subject Polymer matrix composites
Industrial wastes
Mechanical properties
Tribological Properties
Taguchi Methodology
 
Description 169-182
A new class of polyester composites reinforced with E-glass fiber and filled with different weight proportions of granite and fly ash are fabricated. Mechanical and tribological properties of the composites are evaluated and compared. Between the two fillers chosen, fly ash filled composites shows better tensile, flexural, impact and erosion resistance than that of granite filled composites. Erosion wear experiments are conducted as per Taguchi design of experiment. The results indicate that impact velocity, filler content and impingement angle influence the wear rate significantly. Steady-state erosion experiment indicates improvement in erosion resistance of the unfilled samples with filler addition. Two predictive models, one based on artificial neural network and the other on mathematical approach are suggested. The predicted and experimental values of erosion rate are showing good agreement, and are confirming the remarkable ability of a well-trained neural network.
 
Date 2018-07-20T09:26:35Z
2018-07-20T09:26:35Z
2018-07
 
Type Article
 
Identifier 0975-1017 (Online); 0971-4588 (Print)
http://nopr.niscair.res.in/handle/123456789/44720
 
Language en_US
 
Rights <img src='http://nopr.niscair.res.in/image/cc-license-sml.png'> <a href='http://creativecommons.org/licenses/by-nc-nd/2.5/in' target='_blank'>CC Attribution-Noncommercial-No Derivative Works 2.5 India</a>
 
Publisher NISCAIR-CSIR, India
 
Source IJEMS Vol.25(2) [April 2018]