Mechanical and tribological properties of nanoceramic reinforced aluminium-based nanocomposites for engineering applications, challenges and recommendations …

VE Ogbonna, P Popoola… - Journal of Composite …, 2024 - journals.sagepub.com
Aluminium (Al) and Al-based alloys known as lightweight, good corrosion resistance, and
low-cost materials are found used for a range of engineering applications including those in …

Artificial neural network modelling of aluminium/Al2O3/fly ash hybrid composites prepared by powder metallurgy

SP Reddy, JMR Danda, M Kolli, A Yaramala - International Journal on …, 2023 - Springer
Industrial waste low density residue particles and ceramic particles are used as
reinforcement materials in the aluminum matrix. The composites are prepared using powder …

Optimizing strength of directly recycled aluminum chip-based parts through a hybrid RSM-GA-ANN approach in sustainable hot forging

YM Altharan, S Shamsudin, MA Lajis, S Al-Alimi… - Plos one, 2024 - journals.plos.org
Direct recycling of aluminum waste is crucial in sustainable manufacturing to mitigate
environmental impact and conserve resources. This work was carried out to study the …

Statistical analysis and ANN modelling of tribological performance of aluminium hybrid composites fabricated by PM method

MA Hussain, A Parveen, NR Chauhan… - Surface Topography …, 2022 - iopscience.iop.org
This study represents the wear behaviour of the aluminium hybrid composites developed
through powder metallurgy. The pure Al-matrix powder was blended with Si 3 N 4/ZrO 2 …

Prediction of age-hardening behaviour of LM4 and its composites using artificial neural networks

MC Gowrishankar, S Doddapaneni… - Materials Research …, 2023 - iopscience.iop.org
This research work highlights the prediction of hardness behaviour of age-hardened LM4
and its composites fabricated using a two-stage stir casting method with TiB 2 and Si 3 N 4 …

Optimization of Powder Metallurgy Parameters for Improving the Major Properties of AA7075/SiC Composites for Aerospace Applications

A Al Njjar, K Mazloum, A Sata - Journal of Materials Engineering and …, 2024 - Springer
Aluminium alloy-based matrix composite development using powder metallurgy is gaining
attention for various applications in defense, and aerospace industries. The effect of …

Utilization of ANN for the Prediction of Mechanical Properties in AlP0507-MWCNT-RHA Composites

N Srivastava, LK Singh, MK Yadav - Metals and Materials International, 2024 - Springer
Achieving optimal results for enhanced performance of aluminum metal matrix necessitated
a substantial amount of effort, as it entailed investing additional resources in terms of time …

[PDF][PDF] Glass-Reinforced Aluminum Matrix Composite: Synthesizes, Analysis, and Hardness and Porosity Modeling Using Artificial Neural Networks.

AA Sleem, M Arafeh, S Al-Shihabi… - Jordan Journal of …, 2024 - researchgate.net
This study aims to investigate the predictive capabilities of artificial neural networks (ANNs)
for Al-glass composites, specifically in exploring the effect of glass particle size and content …

Experimental and modeling studies on dry sliding wear behavior of Alumina reinforced AMC

M Mohsin, MA Qazi, M Faizan - Engineering Research Express, 2021 - iopscience.iop.org
In the present research work predicted properties of Aluminium Alloy Composites prepared
through powder metallurgy technique have been examined using Artificial Neural Network …

[PDF][PDF] PREDICTION OF MECHANICAL PROPERTIES OF Al6061-Al2O3-SiC COMPOSITES USING ANN

KJS Kumar, BCM Reddy - researchgate.net
Utilization of aluminium based metal matrix composites are exponentially growing up in
wide range of applications in automobiles. The optimization of the results for the better …