HYOGO, Japan — Toyo Tire Corp. has developed artificial intelligence (AI)-based technologies that it claims will allow it to predict the properties of and optimize the material structure of rubber materials more accurately than previously possible and in less time.
Toyo said having this "materials informatics" (MI) technology at its disposal will allow it to "highly optimize" development of high-performance tires while concurrently reducing the time and cost of development.
Toyo said this latest development is part of its proprietary "Nano Balance Technology" rubber-material development platform that the Japanese tire maker has been researching for nearly a decade.
Toyo has been using MI technology based on its accumulated data assets since 2018 "to validate the predictive technology of recipes and physical properties," and looking forward plans to "develop an environment" where it can put its in-house data "to full and effective use."
Toyo noted in material published on the development that since rubber is a composite formed by adding filler and other ingredients to the base material polymer, each ingredient affects the characteristics of the elastomer, thus requiring advanced control in terms of the type and amount, as well as adjustments in the processing method.