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Anuraag Saini

Bio: Anuraag Saini is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Ray tracing (physics) & Thermal conduction. The author has an hindex of 1, co-authored 2 publications receiving 2 citations.

Papers
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Journal ArticleDOI
TL;DR: In this paper, the development at Centre for Non-destructive Evaluation, Indian Institute of Technology Madras, of three different numerical methods, namely finite element, ray tracing and finite-difference time-domain methods for investigating the propagation of ultrasonic waves through polycrystalline media.
Abstract: The present article addresses the development at Centre for Non-destructive Evaluation, Indian Institute of Technology Madras, of three different numerical methods, namely finite element, ray tracing and finite-difference time-domain methods for investigating the propagation of ultrasonic waves through polycrystalline media. These methods are believed to aid in better understanding of ultrasonic wave interaction in materials exhibiting both simple and complex grain morphologies. The understanding is expected to provide an improved non-destructive assessment of material and defect characterisation.

7 citations

Journal ArticleDOI
TL;DR: In this article, the authors evaluated the thermal conductivity of 3D heterogeneous media consisting of fillers dispersed randomly in a matrix through FEM-based numerical simulations and found that particle distribution plays a significant role for moderate filler concentrations and non-spherical particle shape has a strong influence in the heat conduction.

6 citations


Cited by
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Journal ArticleDOI
TL;DR: An original smoothing technique called Halo is proposed and discussed in this work, which aims to extend the development of numerical approach based on the Discrete Element Method (DEM) to study heat transfer in composite materials.

11 citations

Journal ArticleDOI
TL;DR: In this article, the authors evaluated the thermal conductivity of 3D heterogeneous media consisting of fillers dispersed randomly in a matrix through FEM-based numerical simulations and found that particle distribution plays a significant role for moderate filler concentrations and non-spherical particle shape has a strong influence in the heat conduction.

6 citations

Journal ArticleDOI
TL;DR: In this paper , a deep neural network model is proposed to simulate the transient ultrasonic wave propagation in the 2D domain by implementing the Data driven-simulation-assisted-Physics learned AI (DPAI) model.

6 citations

Journal ArticleDOI
TL;DR: In this paper , the authors proposed a computational ultrasonic imaging method for high-resolution, subsurface polycrystalline reconstruction using signals measured on a sample's boundary and a full waveform inversion technique.

4 citations

Journal ArticleDOI
TL;DR: In this article , the effects of particle shape and particle volume fraction (PVF) on the crack path and mechanical behavior (peak strength and effective modulus) of highly particle-filled polymer composites (HPFPCs) with different particle morphologies over a wide range of strain rates (0.0001 /s to 1000 /s) and temperatures (-40°C to 100°C) were investigated using the nonlinear finite element method.

4 citations