Prediction of Interfacial Adhesion Strength in CFRTP considering Plasticity of Matrix Resin using Numerical Material Testing and Neural Network

DOI Web Site 6 References Open Access
  • Sato Tomo
    Department of Mechanical Engineering, College of Industrial Technology, Graduate School of Nihon University
  • Somemiya Masato
    Department of Mechanical Engineering, College of Industrial Technology, Graduate School of Nihon University
  • Hirayama Norio
    Department of Mechanical Engineering, College of Industrial Technology, Nihon University
  • Yamamoto Koji
    CAE Division 1, Cybernet Systems Co., Ltd
  • Matsubara Seishiro
    Department of Mechanical and Systems Engineering, Nagoya University
  • Terada Kenjiro
    International Research Institute of Disaster Science, Tohoku University

Bibliographic Information

Other Title
  • 数値材料試験とニューラルネットワークを用いた母材樹脂の塑性を考慮した CFRTP の界面接着強度の予測

Search this article

Description

<p>We propose a method for predicting the interfacial adhesion or bond strength of unidirectional carbon fiber reinforced thermoplastic plastics (UD-CFRTP) using a neural network (NN) and numerical material testing (NMT) that takes into account the plastic behavior of resin. In the proposed method, first, elastoplastic materials are assumed for the matrix resin, and macroscopic fracture strengths are calculated from NMTs that simulate off-axis tensile tests of UD-CFRTP. Next, a series of NMTs are performed by varying the interfacial adhesion strength between the fiber and resin, the fracture strength of the matrix resin, and the fiber volume fraction, respectively, and the relationships with the obtained macroscopic fracture strengths of UD-CFRTP are learned by the NN. Then, using the learned NNs, the microscopic interfacial adhesion strength and fracture strength of the matrix resin are predicted from the results of actual off-axis tensile tests of UDCFRTP. To verify the accuracy of the proposed method, NMTs are conducted using the predicted strengths, and the results are compared and evaluated with the results of actual off-axis tensile tests of UD-CFRTP.</p>

Journal

  • Seikei-Kakou

    Seikei-Kakou 35 (11), 404-410, 2023-10-20

    The Japan Society of Polymer Processing

References(6)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top