Thermal conductivity of Cu-matrix composites reinforced with coated SiC particles: Numerical modeling and experimental verification

W Węglewski, P Pitchai, M Chmielewski… - International Journal of …, 2022 - Elsevier
Copper-matrix composites reinforced with silicon carbide (SiC) particles are heat sink
materials with potential application in the electronic industry. A major challenge in the …

Multiscale modeling of the effective thermal conductivity of 2D woven composites by mechanics of structure genome and neural networks

X Liu, B Peng, W Yu - International Journal of Heat and Mass Transfer, 2021 - Elsevier
A data-driven multiscale modeling approach is developed to predict the effective thermal
conductivity of two-dimensional (2D) woven composites. First, a two-step homogenization …

A coupled framework of variational asymptotic method based homogenization technique and Monte Carlo approach for the uncertainty and sensitivity analysis of …

P Pitchai, NK Jha, RG Nair, PJ Guruprasad - Composite Structures, 2021 - Elsevier
This article describes a computational framework, based on the variational asymptotic
method unit cell homogenization technique coupled with the Monte Carlo method, for …

Determination of the effective thermal conductivity of composites under the influence of an imperfect interface using a variational asymptotic-based method

P Pitchai, PJ Guruprasad - Archive of Applied Mechanics, 2024 - Springer
This paper provides a detailed examination of the anisotropic thermal conductivity of a two-
phase layered composite material with an imperfect interface. The development of a closed …

Stochastic analysis of a three phase composite using variational asymptotic based homogenization technique coupled with stochastic reduced order model

P Pitchai, D Harursampath, PJ Guruprasad - Composite Structures, 2023 - Elsevier
The current work describes a stochastic framework to investigate the static response
characteristics of periodic and random fiber arrays of reinforced three-phase composites …