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Composites: Mechanics, Computations, Applications: An International Journal
ESCI SJR: 0.354 SNIP: 0.655 CiteScore™: 1.2

ISSN Print: 2152-2057
ISSN Online: 2152-2073

Composites: Mechanics, Computations, Applications: An International Journal

DOI: 10.1615/CompMechComputApplIntJ.v3.i1.60
pages 79-93

EXPERIMENTAL AND NUMERICAL INVESTIGATIONS OF EFFECTIVE THERMAL CONDUCTIVITY OF LOW-DENSITY POLYETHYLENE FILLED WITH Ni AND NiO PARTICLES

Rajpal S. Bhoopal
Thermal Physics Laboratory, Department of Physics, University of Rajasthan, Jaipur 302 055, India
Dharmendra Tripathi
Department of Mathematics, National Institute of Technology, Uttarakhand -246174, India
Madhusree Kole
Thermophysical Measurements Laboratory, Cryogenic Engineering Centre, Indian Institute of Technology, Kharagpur - 721302, (WB), India
T.K. Dey
Thermophysical Measurements Laboratory, Cryogenic Engineering Centre, Indian Institute of Technology, Kharagpur - 721302, (WB), India
Ramvir Singh
Thermal Physics Laboratory, Department of Physics, University of Rajasthan, Jaipur 302 055, India

ABSTRACT

In the present communication, we report our experimental results of Ni and NiO particles as a filler material to enhance the effective thermal conductivity (ETC) of low-density polyethylene (LDPE) composites. ETC of the present composites with varying volume fraction of fillers is measured using a 30-mm-long dual needle sensor (SH-1), which consists of two parallel needles spaced 6 mm apart. An artificial neural network (ANN) model is developed to predict ETC of these materials based on feedforward backpropagation (FFBP) networks with the training functions, i.e., Gradient descent (GD), Gradient descent with adaptive learning rate (GDA), Gradient descent with momentum (GDM), and Gradient descent with momentum and adaptive learning rate (GDX). The best outcome for the use of artificial neural network appertained to feedforward backpropagation network with different training and threshold functions, i.e., Tangent sigmoid (TANSIG) and Pure-linear (PURELIN) functions.


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