Proposed Impact Performance Design Method Intended for Multi-Performance Optimization Based on Energy Propagation
-Design for S-Shaped Thin-Walled Member-

Xin Yuan (Kanagawa University Graduate School of Engineering)･Toru Yamazaki･Kai Kurihara (Kanagawa University)

The Impact Statistical Energy Analysis (ISEA) is a method for evaluating impact performance based on energy propagation. In this study, the front-side-member of an automobile is modeled as a S-shaped thin-walled member, and a design method using ISEA is proposed. The designed member is validated through FEM analysis, demonstrating the effectiveness and practicality of the design using ISEA.

Prediction of strain distribution in press forming using machine learning

Mayu Nitta (University of Yamanashi)･Okumoto Yuki･Kosuke Kojima (Mazda)･Genbu Takahashi (University of Yamanashi)･Yuta Yokoyama (Diver Technology Corporation)･Hirofumi Sugiyama (University of Yamanashi)･Shigenobu Okazawa (University of Yamanashi/ Diver Technology Corporation)

Accurate prediction of residual deformation and strain caused by press forming is essential for precise estimation of crash energy absorption. However, performing numerical simulations for each case is computationally intensive. To address this issue, this study proposes a machine learning-based approach to estimate residual strain distribution. The selection of training data and input features is carefully examined to enhance prediction accuracy. The proposed method is validated through numerical examples of effectiveness.

Multi-step Shape Optimization Method using Isogeometric Analysis（Second Report）
-Robust Search Independent of Initial Shape-

Mizuki Hoshino (University of Yamanashi)･Shinichi Arimoto･Kosho Kawahara (Toyota Motor)･Yuta Yokoyama･Hirofumi Sugiyama･Shigenobu Okazawa (University of Yamanashi)

To achieve global shape optimization using Isogeometric Analysis, we develop a scheme that automatically repeats optimization and changes the number of control points. In this report, we compare the derived shapes from different initial shapes and expand the search range to realize a more robust shape optimization that is independent of the initial shape.

FRP crash box made from a composite of carbon and flax fiber
-(Experimental consideration on impact absorption performance)-

Naoya Matsumoto･Hijiri Otake･Shinobu Kasamatsu･Wenbao Wu･Ikkei Kobayashi･Junpei Kuroda･Hideaki Kato･Takayoshi Narita (Tokai University)

Carbon fiber-reinforced plastics are used in many industrial products, but because of their high heat resistance, recycling processes have not yet been fully established and there is a need to reduce the use of these materials. Therefore, we focused on flax fiber-reinforced plastics and conducted an experimental study of their shock-absorbing performance by preparing specimens made of carbon fiber and flax fiber composites and conducting drop-weight experiments.