T-MODE

Technology

1. NEW T-MODE that helps develop tires with higher performance in a more timely way

As the only automotive part in contact with the road, tires play a major role in satisfying the various performance requirements for cars.
Called the arrival of CASE, the mobility society has reached a major turning point, and there is a demand for further advancement of automobile tires.
Tires need to rapidly achieve required performance and functionality shifts to support “the evolution of mobility.” To achieve this, high precision and high speed in design are extremely important.

2. From “T-mode” to NEW “T-MODE”

Highly evolved T-MODE that has been　incorporated with new AI design support technologies

AI design support technologies have been incorporated into the conventional T-mode (Tire Structure Analysis = Tire Simulation, Vehicle Behavior Analysis = Driving Simulation), evolving toward more advanced tire development processes with the new “T-MODE.”

3. HPC Technology that supports simulation technology

Using a 6th generation HPC system enables various simulations to be more accurate and more efficient.

By newly implementing a 6th generation HPC system (High Performance Computing System), processing power has quadrupled, machine learning data is automatically generated, and Massively Parallel Processing Technology and multiplex processing has been enhanced.

4. Simulation Technology -1 Advanced Numerical Simulation of Aerodynamics

Unique Aerodynamic Simulation Technology that is effective in designing tires with excellent aerodynamic characteristics required to reduce fuel consumption

We analyze and predict the aerodynamic characteristics of tires and vehicles with rolling tires taking into consideration of tire shape changes under various conditions.

5. Simulation Technology -2 Numerical Simulation of Tire Traction on Snow

Using a 6th generation HPC system enables various simulations to be more accurate and more efficient.

6. Simulation Technology -3 Structural Analysis

Unique Aerodynamic Simulation Technology that is effective in designing tires with excellent aerodynamic characteristics required to reduce fuel consumption

We analyze and predict the aerodynamic characteristics of tires and vehicles with rolling tires taking into consideration of tire shape changes under various conditions.

7. Simulation Technology makes it possible to drastically reduce the lead time of tire development

Various simulations with higher accuracy which drastically reduce the lead time for tire development.

8. Design Support Technology -1 Unified Management and Effective Use of Various Data

Unified management of various data types as shared assets, allowing for data sharing between engineers

The new T-MODE platform unifies management of various data types as shared assets and allows for data sharing between engineers.
Data from simulations run by engineers is stored automatically on a shared storage server, and is used in new analysis and prediction as database assets, which can lead to efficient and high-performance design.

9. Data accumulated by SPDM can be used for machine learning.

Using SPDM and unifying management through proprietary system, all data can be used for machine learning.

The new T-MODE platform unifies management of various data types as shared assets on a shared storage server.
Connecting design, simulation and test data improves its added value and allows for its usage as data for machine learning.

10. Design Support Technology -2 Real-Time Simulation

Tire characteristic values can be predicted in real time through machine learning

Conventionally, the design specifications are inputted and then a simulation is performed to obtain tire characteristic values.
If characteristic values do not satisfy requirements, the simulation is repeated, extending the process term overall.
With T-MODE, which uses SPDM, if required performance values are entered, tire characteristic values can be predicted in real time through machine learning.

11. Dramatical Process Innovations

Process innovations are anticipated given the consolidation of design support technologies with simulation technologies.

By improving simulation technologies used in the conventional T-mode, and due to the construction and introduction of SPDM, machine learning has become possible. As a result, T-MODE makes it possible to develop higher performance tires more efficiently.
Toyo Tires will continue to take tires to higher levels by applying our “design technologies for future mobility”.