تصفح Mechanical & Industrial Engineering حسب المؤلف "Eljack, F."
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Data-driven modeling to predict the load vs. displacement curves of targeted composite materials for industry 4.0 and smart manufacturing
Kazi, M.-K.; Eljack, F.; Mahdi, E. ( 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
Kazi, M.-K.; Eljack, F.; Mahdi, E. ( 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 ... -
Predictive ANN models for varying filler content for cotton fiber/PVC composites based on experimental load displacement curves
Kazi, M.-K.; Eljack, F.; Mahdi, E. ( 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 ...