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Predicting Mechanical Properties from Microstructure Images in
  Fiber-reinforced Polymers using Convolutional Neural Networks

Predicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks

7 October 2020
Yixuan Sun
I. Hanhan
M. Sangid
Guang Lin
    AI4CE
ArXivPDFHTML

Papers citing "Predicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks"

2 / 2 papers shown
Title
Image-based Artificial Intelligence empowered surrogate model and shape
  morpher for real-time blank shape optimisation in the hot stamping process
Image-based Artificial Intelligence empowered surrogate model and shape morpher for real-time blank shape optimisation in the hot stamping process
Hao Zhou
Nan Li
AI4CE
29
1
0
01 Dec 2022
Stress field prediction in fiber-reinforced composite materials using a
  deep learning approach
Stress field prediction in fiber-reinforced composite materials using a deep learning approach
Anindya Bhaduri
Ashwini Gupta
L. Graham‐Brady
AI4CE
22
115
0
01 Nov 2021
1