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AI Accelerates Simulation Over 10x for Automotive Component
Ansys SimAI helps engineers swiftly predict physics-based behavior — including mechanical, thermal, and chemical — across product design and manufacturing.
www.ansys.com
High-fidelity simulation of rubber bush straining in Ansys Mechanical (left), replicated in just five minutes by SimAI (right)
Sumitomo Riko is implementing Ansys, part of Synopsys AI technology to accelerate time-to-solution and improve efficiency during the design and manufacturing of automotive components. SimAI rapidly analyzes new or legacy simulation data to generate high-fidelity AI models capable of quickly predicting performance. Sumitomo Riko is using SimAI to accelerate computation-heavy tasks like anti-vibration design and exploration, battery cooling, magnetic field analysis, and mixing heat transfer analysis.
Sumitomo Riko is a leading global manufacturer of high-performance rubber automotive components. To ensure a safe and smooth ride, engineers must understand how the various components within the system behave under extreme loads and stressors. This requires running hundreds of multiphysics simulations where pre-processing tasks, like defining geometric parameters for the model, require extensive time and simulation expertise.
To accelerate product development, Sumitomo Riko is using SimAI and previously generated data to train AI models of high-performance rubber products, such as vibration isolators and hoses, without having to parametrize the geometry. This approach delivers AI models capable of making performance predictions under five minutes — over one hour of time savings for each new design — with accuracy comparable to high-fidelity simulation.
For example, initial testing revealed that SimAI could accelerate simulation cycles over 10x when predicting the mechanical performance of certain rubber bushes — components that play a key role in reducing shock and vibration within suspension systems. This significant speedup enables faster design iterations and more efficient workflows.
Sumitomo Riko is also working with Ansys to implement workflow automation capabilities across product design, manufacturing, and retirement processes.
Sumitomo Riko is implementing Ansys, part of Synopsys AI technology to accelerate time-to-solution and improve efficiency during the design and manufacturing of automotive components. SimAI rapidly analyzes new or legacy simulation data to generate high-fidelity AI models capable of quickly predicting performance. Sumitomo Riko is using SimAI to accelerate computation-heavy tasks like anti-vibration design and exploration, battery cooling, magnetic field analysis, and mixing heat transfer analysis.
Sumitomo Riko is a leading global manufacturer of high-performance rubber automotive components. To ensure a safe and smooth ride, engineers must understand how the various components within the system behave under extreme loads and stressors. This requires running hundreds of multiphysics simulations where pre-processing tasks, like defining geometric parameters for the model, require extensive time and simulation expertise.
To accelerate product development, Sumitomo Riko is using SimAI and previously generated data to train AI models of high-performance rubber products, such as vibration isolators and hoses, without having to parametrize the geometry. This approach delivers AI models capable of making performance predictions under five minutes — over one hour of time savings for each new design — with accuracy comparable to high-fidelity simulation.
For example, initial testing revealed that SimAI could accelerate simulation cycles over 10x when predicting the mechanical performance of certain rubber bushes — components that play a key role in reducing shock and vibration within suspension systems. This significant speedup enables faster design iterations and more efficient workflows.
Sumitomo Riko is also working with Ansys to implement workflow automation capabilities across product design, manufacturing, and retirement processes.
www.ansys.com
