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Advancements in Tire Development Through Dynamic Simulation

In the evolving landscape of tire manufacturing, efficiency and precision are key goals. Goodyear has embraced dynamic simulation technology to enhance its development processes, allowing for quicker iterations and reducing the need for extensive physical tests. “If it’s a one-second maneuver, you want it to take one second, right? Those millions of degrees of freedom model do not necessarily execute in real time like that. So there’s a translation that has to happen to be able to drive the simulator,” explained Rohweder, highlighting the complexities involved in simulating real-time scenarios.

Goodyear currently operates two dynamic simulator centers: the first in Akron, Ohio, opened in 2021, and the second in Luxembourg, inaugurated in 2024. These facilities have proven invaluable for accelerating product development.

Historically, the tire manufacturing process involved multiple physical iterations, often requiring up to ten distinct prototypes before achieving desired results. “Back in the late ’90s, you could count on a half a dozen—maybe up to 10—physical iterations where you’re actually ordering a mold, making tires, and putting them on test,” noted Helsel. This traditional method was time-consuming and resource-intensive, demanding considerable investments in both materials and track testing.

Through advancements in simulation technology, Goodyear has dramatically reduced the number of physical prototypes needed. The ability to simulate tire footprints and other variables has facilitated a more efficient design process. “Over time, simulating the tire’s footprint allowed Goodyear to cut that in half, and then since we’ve really been pushing this higher fidelity tire modeling and now into the simulator, we’ve cut that in half again,” Helsel explained. As a result, when collaborating with automobile manufacturers on specific tire models, the focus has shifted to a single physical prototype for validation. “Now, we only need basically a build and test confirmation physical [tire],” Helsel added, emphasizing this significant improvement.

The implications of these advancements are substantial. By streamlining the development process, Goodyear estimates a reduction in the need for as many as 13,000 tires and approximately 60,000 miles of test track driving, optimizing both time and resources before finalizing a product.

Rohweder further elaborated on the benefits of using simulations for tire sizing and design variations. “We’ve done variation in studies with [tire] sizes when we’re setting targets working with the manufacturer before they start the vehicle development,” he said. This adaptability allows for rapid adjustments in tire dimensions and compounds, enabling designers to explore optimal configurations based on simulated feedback. By leveraging data-driven insights, Goodyear can enter the simulator environment and effectively navigate the design space to ensure the driver’s experience aligns with performance targets.

Consequently, the maturation of the first physical iteration is a noteworthy advantage that reflects the ongoing evolution of tire manufacturing. Goodyear’s commitment to innovation through dynamic simulation is indicative of the broader trends in automotive technology, paving the way for faster, more efficient product development and ultimately enhancing vehicle performance.

Source
arstechnica.com