• Session No.75 Polymer/Composite Materials
  • May 29Pacifico Yokohama North G318+G3199:30-10:45
  • Chair: Nozomu Shigemitsu (Toyota Motor)
For presentations that will not be available video streaming after congress, a “✕” is displayed in the “Video” column, so please check.
No. Video Title・Author (Affiliation)
322

Vibration Simulation of Structural Members Bolted with CFRP

Satoru Kuga・Yuuki Kawaharabashi・Yoshinao Kishimoto・Yukiyoshi Kobayashi・Yuki Ohno・Daiki Ariyama (Tokyo City University)

Carbon fiber reinforced plastic (CFRP) is expected to be applied to automotive structural frames, leveraging its excellent specific strength and specific stiffness, as well as its anisotropic properties. In this study, a finite element simulation method was developed to predict the natural vibration modes and natural frequencies of structural members bolted with CFRP. Its effectiveness was evaluated by comparing the simulation results with actual hammering test results.

323

Effect of Fiber Structure on the Strength of CFRTP Injection Molded Parts

Suzuho Sasamoto・Mutsuki Hamada・Souichiro Nishino (Ibaraki University)・Hidemaru Sootome・Kenta Iwasawa (Ibaraki Industrial Technology Innovation Center)

Lightweight, high-rigidity CFRTP is seeing expanding applications, yet its fiber structure changes depending on molding conditions, leading to strength inhomogeneity.This study reports on the influence of fiber structure on strength through strength evaluation, X-ray CT observation, and orientation analysis.

324

Foaming Prediction Technology for Automotive Polyurethane Using a Model-Based Approach

Jin Tomotsu・Junichiro Yamashita・Junji Katagihara (Daikyo Nishikawa)・Hideyuki Yukawa・Hiroki Tanizawa・Minoru Inoue (Hiroshima University/Mazda)・Toshimi Nakaya (Hiroshima University)・Ryuji Miura・Nozomu Hatakeyama (Hiroshima University/Tohoku University)・Shinichi Kihara (Hiroshima University)

For polyurethane foaming phenomena, a foaming model integrating reaction properties and visualized data of foaming behavior was constructed to reproduce, through modeling, the formation of cellular structures such as cell diameter, throat diameter, and porosity. This method enables the prior derivation of bubble-control conditions feasible in actual molding, leading to the optimization of molding methods that directly affect acoustic, thermal, and surface quality.

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