An essential part of tire development happens long before the tire ever touches the road. It begins with the mold, the tool that gives the tire its shape, tread pattern, and a good part of its final characteristics. That is precisely where Yokohama has announced an interesting breakthrough: a proprietary tire mold design system assisted by artificial intelligence. The idea, of course, is not to replace engineers with a machine that makes decisions on its own. Human expertise can never be completely replaced. Instead, the system is designed to complement the experience of development teams and make the process faster, more consistent, and less costly.
Virtual testing before prototypes
Traditionally, understanding how a mold affects tire performance requires many tests, prototypes, and evaluations. Changing the shape of a mold can influence several characteristics, including handling, wear, noise, comfort, and efficiency. These relationships are complex and often require the eye of highly experienced specialists.
Yokohama’s new system uses finite element method simulations, better known as FEM, combined with artificial intelligence tools. In practical terms, it can generate a large number of virtual tire models with different mold shapes, then calculate their characteristics in a digital environment. The results of these simulations are then used to train an AI model capable of predicting more quickly how design choices affect performance.
AI that explains its recommendations
What makes the system especially interesting is that it does not simply provide a final answer. Yokohama also uses explainable AI methods, such as SHAP and PDP, to help teams visualize the impact of each design factor. In other words, engineers can see which parameters influence the results the most and in which direction they should be adjusted. This approach is part of Yokohama’s HAICoLab concept, launched in 2020, whose name stands for “Humans and AI Collaborate.” The message is clear: AI becomes a collaborative tool, not a substitute for human know-how.
In the end, this innovation is a reminder that the modern tire is far more technological than it may appear. Even its mold, invisible to the driver, can influence the experience on the road. And if AI makes it possible to design faster, with fewer unnecessary tests and greater precision, it could help accelerate the arrival of tires better suited to the real needs of drivers.
