Artificial neural network for prediction of thermal conductivity of rGO–metal oxide nanocomposite-based nanofluids

DP Barai, BA Bhanvase, SL Pandharipande - Neural Computing and …, 2022 - Springer
A four-input artificial neural network (ANN) model has been presented for the prediction of
thermal conductivity of rGO–metal oxide nanocomposite-based nanofluids. For this, data of …

Optimization and Experimental Investigation of the Mechanical Properties of Copper/Graphene Oxide/Epoxy Hybrid Nanocomposites

M Mahouri, V Parvaneh, A Dadrasi… - Mechanics of Composite …, 2024 - Springer
This study focuses on the effect of copper nanoparticles and graphene oxide nanosheets on
the tensile properties and impact strength of epoxy-based hybrid nanocomposites. A …

Long short-term memory based modeling of heat treatment and trigger mechanism effect on thin-walled aluminum 6063 T5 for crashworthiness

M Jimenez-Martinez… - International Journal …, 2024 - Taylor & Francis
Vehicle safety relies on the capacity of vehicle systems to decrease the likelihood of
biomechanical injuries to both vehicle occupants and pedestrians. This can take the form of …

Multiobjective optimization of dimension and position of elliptical crush initiator on crashworthiness performance of square tube using response surface methodology

M Hafid, J Istiyanto, N Nasruddin - Frontiers in Mechanical …, 2023 - frontiersin.org
In this study, the crashworthiness performance of a thin-walled square steel-tube structure
with an elliptical crush initiator under impact loading was investigated. The effect of the …

Comprehensive investigation of epoxy/graphene oxide/copper nanocomposites: experimental study and modeling-optimization of mechanical characteristics

M Mahouri, V Parvaneh, A Dadrasi, GS Sabet - Iranian Polymer Journal, 2024 - Springer
In the pursuit of advanced materials, researchers have turned to nanocomposites as a
means to enhance both electrical conductivity and mechanical properties. The integration of …

Experimental, modeling, and optimization investigation on mechanical properties and the crashworthiness of thin-walled Frusta of silica/epoxy nano-composites: fuzzy …

A Dadrasi, M Shariati, GA Farzi… - Journal of Materials …, 2022 - Springer
In this work, an experimental study on the quasi-static collapse of thin-walled frusta of
silica/epoxy nano-composites was conducted. The effect of nano-silica content and the …

A fast GA-ANN model and application in multi-objective optimization of the sealing ring for the subsea pipeline connector with regard of the penetration load

K Jiao, F Yun, X Hao, G Wang, S Yao, P Jia… - Journal of Mechanical …, 2024 - Springer
In this paper, a finite element method is proposed to predict the contact pressure of the metal
seal in the subsea pipeline connector with regard of the penetration load on the critical …

Application of artificial neural networks for prediction of crushing performance of a Quadricycle's S-rail

T Homsnit, P Jongpradist, S Kongwat… - AIP Conference …, 2024 - pubs.aip.org
Heavy electric quadricycles (L7e) typically have the problem of crash incompatibility
because their size and weight are smaller and lighter than other vehicles. The S-rails …

Analyzing and modeling of energy absorption properties of holed cylindrical metallic dampers

V Modanloo, E Elyasi… - Journal of Modeling in …, 2025 - modelling.semnan.ac.ir
In this research, the energy absorption performance of metallic thin-walled dampers under
axial compression loading was investigated. At first, steel tubes with a thickness of 2 mm and …

Multi-objective optimisation of the passenger car seat frame using grey relational analysis and grey entropy measurement

Z Shan, W Wang, J Long - International Journal of Vehicle …, 2022 - inderscienceonline.com
At present, more attention has been paid to the performance and lightweight design for
passenger car seats. The optimisation design for seat frame is performed in this research …