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Sumitomo Riko Leverages Ansys AI Technology to Accelerate Simulation Over 10x for Automotive Component Design and Manufacturing

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Synopsys (NASDAQ: SNPS) Ansys SimAI platform is being used by Sumitomo Riko to accelerate simulation for automotive component design and manufacturing.

Key outcomes include simulation speedups over 10x versus traditional methods and AI models that predict performance in under five minutes, saving more than one hour per new design. The workflow eliminates the need for parametrized geometry and targets tasks like anti-vibration design, battery cooling, magnetic analysis, and heat transfer.

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Positive

  • Simulation speedup of >10x versus traditional methods
  • Performance predictions delivered in under five minutes
  • Design time savings of >1 hour per new design
  • Applies to anti-vibration, battery cooling, magnetic, heat-transfer tasks

Negative

  • None.

News Market Reaction

+2.41%
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+2.41% News Effect

On the day this news was published, SNPS gained 2.41%, reflecting a moderate positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

Ansys SimAI helps engineers swiftly predict physics-based behavior — including mechanical, thermal, and chemical — across product design and manufacturing

Key Highlights

  • Part of the Synopsys portfolio of simulation & analysis solutions, the Ansys SimAI™ platform enables Sumitomo Riko to accelerate simulation speed over 10x when compared to traditional simulation methods
  • Sumitomo Riko is using SimAI to rapidly generate high-fidelity models that are easily accessible to experts and non-experts, creating a comprehensive design-to-manufacturing workflow that strengthens product lifecycle management (PLM) processes

PITTSBURGH, Oct. 8, 2025 /PRNewswire/ -- Sumitomo Riko is implementing Ansys, part of Synopsys, Inc. (NASDAQ: SNPS) 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.

"To remain at the forefront of polymer and comprehensive evaluation technology innovation, we are working to implement workflow automation capabilities across the entire product lifecycle" said Noritaka Matsuoka, head of analysis and experiment division, advanced systems R&D Center at Sumitomo Riko. "The first challenge is to promote the adoption of AI across our product development cycles. SimAI is an ideal platform to start this journey due to its robust capabilities that eliminate the need for parametrized geometries, making it easier for multiple teams to collaborate on one project."

Sumitomo Riko is also working with Ansys to implement workflow automation capabilities across product design, manufacturing, and retirement processes.

"Modern product development begins with quality data and leading simulation solutions," said Walt Hearn, senior vice president of worldwide sales and customer excellence at Ansys, part of Synopsys. "One of the biggest challenges in R&D is balancing speed and accuracy during the early design phase. Ansys AI capabilities enable lightning-fast predictions, regardless of how large or complex the computation is, so that customers can make data-driven decisions before prototyping begins."

About Synopsys

Synopsys, Inc. (Nasdaq: SNPS) is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Learn more at www.synopsys.com.

© 2025 Synopsys, Inc. All rights reserved. Synopsys, Ansys, the Synopsys and Ansys logos, and other Synopsys trademarks are available at https://www.synopsys.com/company/legal/trademarks-brands.html. Other company or product names may be trademarks of their respective owners.

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Contacts

Media        Pete Smith
                  pete.smith@synopsys.com
                  corp-pr@synopsys.com 

 

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SOURCE Ansys

FAQ

What did Sumitomo Riko announce about Ansys SimAI on October 8, 2025?

Sumitomo Riko announced it is using Ansys SimAI to accelerate simulation for automotive components, citing >10x speedups and sub-5-minute predictions.

How much faster is simulation with Ansys SimAI for Sumitomo Riko compared to traditional methods?

Initial testing reported simulation cycles accelerated by over 10x for certain rubber component analyses.

What time savings does Sumitomo Riko report using SimAI for new designs?

SimAI produces performance predictions in under five minutes, saving more than one hour per new design versus traditional simulation.

Which engineering tasks at Sumitomo Riko are targeted by SimAI acceleration?

SimAI is used for anti-vibration design, battery cooling, magnetic field analysis, and mixing heat-transfer analysis.

Will Sumitomo Riko need parametrized geometry to use SimAI models?

No; the announced workflow eliminates the need for parametrized geometries to train high-fidelity AI models.
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