Efficiency improvement and advancement of design and analysis operations.

Achieving optimization of parameter adjustment in simulations and supporting multi-objective optimization to explore optimal design information that meets multiple performance requirements using AI.

In design, CAE analysis is an essential technology for efficiently designing high-quality products. It enables simulations on computers for validations that are difficult to reproduce in real environments, as well as for invisible phenomena such as fluid and thermal flows and electromagnetic fields. The advancement of CAE technology is also progressing in combination with AI technology. 【Expected Issues】 - The parameter adjustments of the computational simulator are becoming personalized, leading to discrepancies and variations from actual machine validations. - It is challenging to achieve the required performance in trade-off relationships, resulting in a high workload. 【Expected Effects】 - Automation of parameter adjustments to minimize discrepancies with actual measurements. - High-precision and rapid decision-making enabled by the exploration of multi-objective optimization solutions and the extraction of insights.

Temporary staffing businessOther servicesothers