Case Study: Taica Corporation achieves faster vibration isolator design optimization with Hexagon ODYSSEE CAE

How to optimise the design of vibration insulators using ML-ROM

Taica Corporation, a Japanese company specializing in vibration-absorbing materials, faced a challenge in designing its Alpha GEL isolators. The process heavily relied on the experience and intuition of specialized engineers, making it difficult to train new developers and scale their operations efficiently. They sought a solution to enable non-expert engineers to perform vibration isolation design without relying on prototypes. To solve this, they partnered with the vendor Hexagon.

Using Hexagon's ODYSSEE CAE platform, Taica built a machine learning-based reduced-order model (ML-ROM) to predict the stress-strain behavior of their isolators with high accuracy. This solution allowed non-experts to quickly optimize designs by using predictive models. As a result, Hexagon's technology helped transform Taica’s design process, increasing work efficiency, accelerating customer responsiveness, and freeing up expert engineers to focus on more complex design challenges.

Taica Corporation

Hiroshi Nasuno

Team Leader of Mechanism Analysis Group