Artificial neural networks for predicting mechanical properties of Al2219-B4C-Gr composites with multireinforcements

SB Nagaraju, K Sathyanarayana… - Proceedings of the …, 2024 - journals.sagepub.com
Artificial neural networks (ANNs) have gained prominence as a reliable model for clustering,
grouping, and analysis in various domains. In recent times, machine learning (ML) models …

Investigation of Mechanical Properties and Microstructure of AZ31‐SiC‐Graphite Hybrid Nanocomposites Fabricated by Bottom Pouring‐Type Stir Casting Machines

I Veeranjaneyulu, V Chittaranjan Das… - Advances in Materials …, 2023 - Wiley Online Library
In this study, a bottom pouring‐type stir casting machine was used to create AZ31
magnesium alloy hybrid nanocomposites with varying weight percentages (0, 3, 5, and 7) of …

A Multi-Objective Genetic Algorithm-Based Predictive Model and Parameter Optimization for Forming Quality of SLM Aluminum Anodes

Q Xia, Y Li, N Sun, Z Song, K Zhu, J Guan, P Li, S Tang… - Crystals, 2024 - mdpi.com
Aluminum–air batteries are characterized as “green energy for the 21st century” due to their
clear advantages in terms of high current discharge, high specific energy, low cost, and easy …

Experimental comparison to optimize defects in aluminium alloy (A356) casting using Taguchi DOE and MCDM

AN Meshram, DN Raut - International Journal on Interactive Design and …, 2024 - Springer
Casting is a process where complicated parts are made by pouring molten metal in the mold
to produce near net parts. A substantial progress has been made in the field of casting over …

Microstructure, Worn Surface, Wear Assessment and Taguchi's Approach of Titanium Alloy Hybrid Metal Matrix Composites for Automotive Applications

SCVRM Naidu, N Kalidas, S Venkatachalam… - 2024 - sae.org
Lightweight materials are in great demand in the automotive sector to enhance system
performance. The automotive sector uses composite materials to strengthen the physical …

Study of Properties of Aluminium Composites Reinforced with Triple Reinforcements

G Mathew, KNV Kumar, S Vijaykumar - Proceedings of International …, 2023 - Springer
Aluminium metal matrix composites have widely replaced aluminium alloys as the preferred
material for the fabrication of components and products. Researchers have fabricated these …

[PDF][PDF] Artificial Neural Networks for Predicting Mechanical Properties of Al2219-B4c-Gr Composites with Multi-Ceramic Reinforcement

S Ballupete Nagaraju, K Sathyanarayana… - … , Madhu and Mavinkere … - papers.ssrn.com
Artificial neural networks (ANNs) have gained prominence as a reliable model for clustering,
grouping, and analysis in various domains. In recent times, machine learning (ML) models …