Review on applications of artificial neural networks to develop high entropy alloys: A state-of-the-art technique

SK Dewangan, C Nagarjuna, R Jain… - Materials Today …, 2023 - Elsevier
Compared to conventional alloys, multicomponent high-entropy alloys (HEAs) have
received considerable attention in recent years owing to their exceptional phase stability …

[HTML][HTML] Predicting crystallite size of Mg-Ti-SiC nanocomposites using an adaptive neuro-fuzzy inference system model modified by termite life cycle optimizer

H Ahmadian, T Zhou, M Abd Elaziz, MA Al-Betar… - Alexandria Engineering …, 2023 - Elsevier
Abstract In this study, Mg-Ti-SiC composite powders with varied micron and nano silicon
carbide (SiC) particle sizes were fabricated utilizing the ball milling technology at various …

Advancements in aluminum matrix composites reinforced with carbides and graphene: A comprehensive review

MA Alam, HB Ya, M Azeem, M Mustapha… - Nanotechnology …, 2023 - degruyter.com
Automotive and aircraft industries are advancing swiftly, creating a constant need for
innovative and trustworthy materials. Aluminum composites (aluminum matrix composites …

Application of artificial neural network to predict the crystallite size and lattice strain of CoCrFeMnNi high entropy alloy prepared by powder metallurgy

C Nagarjuna, SK Dewangan, A Sharma, K Lee… - Metals and Materials …, 2023 - Springer
An equiatomic CoCrFeMnNi high entropy alloy (HEA) was prepared by the gas atomization
process. In addition, high-energy milling was carried out to study the effects of milling …

Influence of fly ash on thermo-mechanical and mechanical behavior of injection molded polypropylene matrix composites

R Meena, AW Hashmi, S Ahmad, F Iqbal, H Soni… - Chemosphere, 2023 - Elsevier
Polypropylene composites find widespread application in industries, including packaging,
plastic parts, automotive, textiles, and specialized devices like living hinges known for their …

Abrasive flow finishing of 3D-Printed Aerofoils: Design, numerical Simulation, and experimental analysis

AW Hashmi, S Ahmad, MG Mustafa, Y Tian… - Optics & Laser …, 2024 - Elsevier
This study investigates the application of abrasive flow machining (AFM) to enhance the
surface quality of 3D-printed polylactic acid (PLA) parts, addressing the common issue of …

The development of new perovskite-type oxygen transport membranes using machine learning

H Schlenz, S Baumann, WA Meulenberg, O Guillon - Crystals, 2022 - mdpi.com
The aim of this work is to predict suitable chemical compositions for the development of new
ceramic oxygen gas separation membranes, avoiding do** with toxic cobalt or expensive …

[HTML][HTML] Laser metal deposition of Al 7075: Effects of TiC nanoparticles

J Karimi, M Tekin, T Seefeld - Journal of Materials Research and …, 2024 - Elsevier
High-density defects in additively manufactured components cause poor mechanical
properties and premature failure. The present paper aims in minimizing defects in laser …

An application of Artificial Neural Network (ANN) to predict the friction coefficient of nuclear grade graphite

A Soni, M Yusuf, M Beg, AW Hashmi - Materials Today: Proceedings, 2022 - Elsevier
In scientific research, computer modeling techniques are widely used. Artificial neural
networks are now well established and prominent in the literature when computationally …

Microstructure and tribological behavior of Al–TiC composite strips fabricated by a multi-step densification method

MIA Habba, WS Barakat, SA Elnekhaily, FS Hamid - Scientific Reports, 2024 - nature.com
This study aims to enhance the tribological properties of automotive applications by
examining the effects of TiC content on the microstructure, mechanical properties, and wear …