Conventional models for solid elastoplastic deformation and friction phenomena treat the interior of the yield surface as an elastic region. Consequently, they cannot accurately capture the accumulation of plastic strain or plastic slip even when stresses below the yield stress act, which may lead to unsafe designs for equipment subjected to repeated loading. In contrast, the subloading surface model proposed by the speaker accurately captures the accumulation of plastic strain and plastic slip due to repeated stresses below the yield stress. This keynote speech introduced the fundamental concepts of the subloading surface model, key points of its specific formulation, and analysis examples.

・Professor Emeritus, Kyushu University: Dr. Koichi Hashiguchi

Fatigue attributing to approximately 80% of damage causes in machinery and structures, quality requirements for fatigue performance of new structures are increasing. Establishing rational and highly accurate fatigue life evaluation methods is essential. This case study introduced the development of a fatigue performance evaluation method based on elastoplastic cyclic response using ADVENTURECluster.

・Mr. Homare Shibata, Sumitomo Heavy Industries, Ltd.

The design of fastening parts using theoretical formulas is based on empirical safety factors, and when the scale of changes becomes large, there is a risk of development rework due to failure in actual machine evaluation.
Aiming to establish a design method for fastening parts using CAE, the reproduction of the theory of loosening caused by external torsional forces and external forces perpendicular to the axis was reported.

・Mr. Takayuki Sugiyasu, Isuzu Motors Limited

During the assembly process in motor production, the stator core, composed of laminated electromagnetic steel sheets, has the characteristic of changing its overall length during the coil forming process. To ensure the assembled dimensions remain within design requirements, the number of laminations must be determined through repeated prototyping, which poses the problem of low yield. This presentation introduced an approach using the nonlinear structural analysis solver ADVENTURECluster to predict stator core lamination thickness changes during coil forming process in advance, thereby reducing the number of prototypes required.

・Mr. Kazuki Fukuma, Suzuki Motor Corporation

Structural strength analysis for automotive engines involves multiple iterations of computationally intensive detailed 3D FEM to determine specifications meeting reliability performance. However, there are some issues that become bottlenecks often happen in the development process. In this case, vibration stress analysis results and thermal stress analysis results obtained using the large-scale structural analysis solver ADVENTURECluster were used as learning data, targeting the high-temperature section of an exhaust pipe. By applying active learning to optimization calculations, the development period was shortened compared to conventional methods. And the successful case of optimal solution was reported.

・Mr. Mikimasa Kawaguchi, Mazda Motor Corporation