Prediction and wear performance of red brick dust filled glass–epoxy composites using neural networks

2019 ◽  
Vol 23 (2) ◽  
pp. 253-260
Author(s):  
Pravat Ranjan Pati
Keyword(s):  
Neural Networks ◽  
Epoxy Composites ◽  
Wear Performance ◽  
Brick Dust

Controlling the properties of epoxy composites filled with brick dust

2017 ◽  
Vol 90 (2) ◽  
pp. 267-276 ◽  
Author(s):  
A. S. Mostovoi ◽  
E. A. Kurbatova
Keyword(s):  
Epoxy Composites ◽  
Brick Dust

Investigation on red brick dust filled epoxy composites using ant lion optimization approach

2019 ◽  
Vol 40 (10) ◽  
pp. 3877-3885 ◽  
Author(s):  
Pravat Ranjan Pati ◽  
Mantra Prasad Satpathy
Keyword(s):  
Epoxy Composites ◽  
Optimization Approach ◽  
Ant Lion Optimization ◽  
Ant Lion ◽  
Brick Dust

scholarly journals Optimization of Dry Sliding Wear Performance of Ceramic Whisker Filled Epoxy Composites Using Taguchi Approach

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
M. Sudheer ◽  
Ravikantha Prabhu ◽  
K. Raju ◽  
Thirumaleshwara Bhat
Keyword(s):  
Wear Rate ◽  
Sliding Wear ◽  
Normal Load ◽  
Epoxy Composites ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
Wear Performance ◽  
Casting Technique ◽  
Pin On Disc ◽  
Sliding Distance

This study evaluates the influence of independent parameters such as sliding velocity (A), normal load (B), filler content (C), and sliding distance (D) on wear performance of potassium-titanate-whiskers (PTW) reinforced epoxy composites using a statistical approach. The PTW were reinforced in epoxy resin to prepare whisker reinforced composites of different compositions using vacuum-assisted casting technique. Dry sliding wear tests were conducted using a standard pin on disc test setup following a well planned experimental schedule based on Taguchi’s orthogonal arrays. With the signal-to-noise (S/N) ratio and analysis of variance (ANOVA) optimal combination of parameters to minimize the wear rate was determined. It was found that inclusion of PTW has greatly improved the wear resistance property of the composites. Normal load was found to be the most significant factor affecting the wear rate followed by (C), (D), and (A). Interaction effects of various control parameters were less significant on wear rate of composites.

scholarly journals PARAMETRIC RATIO OPTIMIZATION AND STATISTICAL MODELLLNG OF WEAR PERFORMANCE IN DUAL- FILLER PARTICLE REINFORCED EPOXY COMPOSITES

2019 ◽  
Vol 10 (1) ◽  
pp. 140-159
Author(s):  
Oluwaseyi Ajibade ◽  
◽  
Johnson Agunsoye ◽  
Sunday Oke ◽  
◽  
...  
Keyword(s):  
Filler Particle ◽  
Epoxy Composites ◽  
Wear Performance ◽  
Ratio Optimization
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