A Study on the Finite Element Analysis for the Optimized Design of Bumper Towing Cap for Vehicles

Gyuho Shim･Teawon Kim (SECO ECOPLASTIC)

The bumper towing cap for automobiles is a part that is mounted on the bumper of the cap type as well. It prevents exposure to the hole where the towing screw is mounted. It also aims to maintain the design. When the toeing cap is designed robustly, it is difficult for the user to remove it. Conversely, when designed loosely, it can be removed while driving. Therefore, in this study, a study on finite element analysis for the optimization design of the toeing cap was conducted.

製造プロセスによる物理特性変化を考慮した車体性能予測CAEの構築

堀部　浩由・田中　一郎・藤井　隆之・臼井　一雅・山本　賢（本田技術研究所）

電動化で変化する車体構造と製造方法の同時検討と迅速化が求められる．性能予測に必要な物理特性変化を製造工程間で正確に引継ぎ，性能モデルへ反映する仕組みを構築した．プレス・溶接・乾燥の各工程で変化を生成・引継ぎし，性能予測結果への影響をテストピースで検証し，その有効性の事例を報告する．

トポロジー最適化における形状の複雑さと目的関数および滑らかさの関係

武田　啓仁（SCSK Minoriソリューションズ）・丸山　新一・泉井　一浩・西脇　眞二（京都大学）

トポロジー最適化は，構造最適化手法の中で高い自由度を有する設計手法である．本報告では，計算パラメータを変えながら，得られる最適形状の複雑さと，目的関数および滑らかさの指標とされる表面積の関係を検討した．その結果，目的関数の値は複雑な形状が，滑らかさは単純な形状が有利となる傾向があることが分かった．

Developing of an Geometry-aware AI model for Predicting Stress Distribution in Aluminum Wheels under Impact

Changgon Kim (Hyundai Motor)

This study proposes a geometry-aware Graph Neural Network (GNN) model for predicting stress distributions under dynamic impact on aluminum wheels. The model incorporates a weighted loss function and an edge reconstruction technique to improve accuracy in stress concentration regions. Using high-fidelity 3D finite element data from 85 wheel designs, we applied edge augmentation to enhance generalization with limited samples. The GNN model achieved a MAPE of 7.0% in critical regions, significantly reducing computation time compared to conventional FE analysis. This results demonstrate the feasibility of using GNNs for early-stage structural performance prediction in automotive development.

Optimal Undercover Design : From Drag-Centric to Weight and TCO Integrated

WOOKHYUN HAN･Hyun Gon Jung･Min Kyul Yun･Min Ho Kim･Hee Je Eom･Kwang Chan Ko (Hyundai Motor)

The vehicle undercover is designed to reduce aerodynamic drag, ultimately enhancing fuel efficiency and decreasing client ownership costs, which is crucial for competitive advantage. Focusing solely on aerodynamic improvements may contradict the goal of fuel efficiency improvement or minimizing client costs. This study proposes an optimal undercover design by considering aerodynamic performance, weight, and development costs. The study results indicate that effective undercover design requires simultaneous consideration of aerodynamic effects and weight implications, and that the savings in total cost of ownership (TCO) due to improved fuel efficiency must exceed the development costs.

軟質ウレタンフォームの気泡分布関数と機械特性（圧縮荷重-変位特性）の関係性研究（第二報）
-提案手法の精度検証と気泡分布関数によるF-S特性検討-

井上　実（マツダ／香川大学／広島大学）・鈴木　桂輔（香川大学）・伊東　博之（東洋シート）

第一報では気泡分布関数を用いて軟質ウレタンフォームの機械特性（圧縮荷重－変位特性，以後F-S特性と略す）評価を可能にする解析手法を提案した．第二報では第一報で開発した解析手法の精度検証を行うとともに本解析手法を用いた軟質ウレタンフォームのF-S特性検討および特性変更の可能性について検討を実施した．