Review on applications of artificial neural networks to develop high entropy alloys: A state-of-the-art technique
Compared to conventional alloys, multicomponent high-entropy alloys (HEAs) have
received considerable attention in recent years owing to their exceptional phase stability …
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
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 …
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
Automotive and aircraft industries are advancing swiftly, creating a constant need for
innovative and trustworthy materials. Aluminum composites (aluminum matrix composites …
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
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 …
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
Polypropylene composites find widespread application in industries, including packaging,
plastic parts, automotive, textiles, and specialized devices like living hinges known for their …
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
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 …
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
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 …
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 …
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
In scientific research, computer modeling techniques are widely used. Artificial neural
networks are now well established and prominent in the literature when computationally …
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
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 …
examining the effects of TiC content on the microstructure, mechanical properties, and wear …