A deep learning convolutional neural network and multi-layer perceptron hybrid fusion model for predicting the mechanical properties of carbon fiber
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Reference54 articles.
1. Machine learning and materials informatics approaches for predicting transverse mechanical properties of unidirectional CFRP composites with microvoids;Li;Mater. Des.,2022
2. An approach to predict the mechanical properties of CFRP based on cross-scale simulation;Qi;Compos. Struct.,2019
3. Evaluation of mechanical properties of noncircular carbon fiber reinforced plastics by using XFEM-based computational micromechanics;Higuchi;Compos. A Appl. Sci. Manuf.,2019
4. Predictive multiscale modeling for Unidirectional Carbon Fiber Reinforced Polymers;Gao;Compos. Sci. Technol.,2020
5. Multiscale collaborative optimization for the thermochemical and thermomechanical cure process during composite manufacture;Hui;Compos. Sci. Technol.,2022
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