تصفح Mechanical & Industrial Engineering حسب الموضوع "Artificial neural network"
السجلات المعروضة 1 -- 10 من 10
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Accurate prediction of dynamic viscosity of polyalpha-olefin boron nitride nanofluids using machine learning
( Elsevier , 2023 , Article)This study focuses on predicting the dynamic viscosity of nanofluids, specifically Polyalpha-Olefin-hexagonal boron nitride (PAO-hBN) using machine learning models. The primary goal of this research is to assess and contrast ... -
Constitutive models for the prediction of the hot deformation behavior of the 10%Cr steel alloy
( MDPI AG , 2019 , Article)The aim of this paper is to establish a reliable model that provides the best fit to the specific behavior of the flow stresses of the 10%Cr steel alloy at the time of hot deformation. Modified Johnson-Cook and strain-compensated ... -
Data-driven modeling to predict the load vs. displacement curves of targeted composite materials for industry 4.0 and smart manufacturing
( Elsevier Ltd , 2021 , Article)This work presents an approach for smart manufacturing focusing on Industry 4.0 to predict the load vs. displacement curve of targeted cotton fiber/Polypropylene (PP) composite materials while complying with the required ... -
Design of composite rectangular tubes for optimum crashworthiness performance via experimental and ANN techniques
( Elsevier Ltd , 2022 , Article)This paper examines the crashworthiness performance of composite rectangular tubes using experimental and artificial neural network (ANN) techniques. Based on experimentally obtained values of different crashworthiness ... -
Experimental Investigation and Uncertainty Prediction of the Load-Carrying Capacity of Composite Double Hat for Lattice Core Sandwich Panels Using Artificial Neural Network
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Carbon fiber reinforced composites are promising candidates for building advanced multifunctional structures with superior properties that are suitable for the next generation of automotive and aircraft applications. This ... -
Machine learning based photovoltaics (PV) power prediction using different environmental parameters of Qatar
( MDPI AG , 2019 , Article)Photovoltaics (PV) output power is highly sensitive to many environmental parameters and the power produced by the PV systems is significantly affected by the harsh environments. The annual PV power density of around 2000 ... -
Modeling of Surface Roughness in Turning Operation Using Extreme Learning Machine
( Springer Verlag , 2015 , Article)Prediction model allows the machinist to determine the values of the cutting performance before machining. According to the literature, various modeling techniques have been investigated and applied to predict the cutting ... -
Predictive ANN models for varying filler content for cotton fiber/PVC composites based on experimental load displacement curves
( Elsevier Ltd , 2020 , Article)In this paper, artificial neural network (ANN) models are developed to predict the load-displacement curves for better understanding the behavior of cotton fiber/polyvinyl chloride (PVC) composites. Series of experiments ... -
Reconstruction of Road Defects from Dynamic Vehicle Accelerations by Using the Artificial Neural Networks
( Springer Science and Business Media B.V. , 2023 , Conference Paper)Monitoring of roads is considered the first step in establishing a successful road maintenance program, which includes scheduling adequate maintenance to a certain road section at the right time. Road monitoring assesses ... -
Road Profile Estimation Using Full/Quarter-Car Model with Artificial Neural Networks
( Springer Science and Business Media Deutschland GmbH , 2024 , Conference Paper)The monitoring of road roughness is one of the first and most critical steps in road maintenance. Road networks need constant maintenance to function properly and avoid any hazardous accidents or blockage of the traffic ...