PC for PhysicsAI operation for automobiles

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last updated：Dec 20, 2025

アプライド

AI accelerates CAE analysis and speeds up design considerations.

In the automotive industry, collision analysis requires repeated complex simulations for safety evaluation. Long analysis times become a challenge with each design change, often leading to delays in the development cycle and increased costs. The PhysicsAI operating PC learns from past CAE analysis data and streamlines the consideration of designs in the early stages, achieving improved development speed. 【Use Cases】 - Evaluation of collision safety - Optimization of body structure - Efficiency in parts design 【Benefits of Implementation】 - Reduction in design consideration time - Decrease in the number of prototypes and analyses - Shortening of the development period

Special site - Product/service details - https://pr.mono.ipros.com/applied/product/

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basic information

【Features】 - AI learns from past CAE analysis results (structure, fluid, heat, etc.) to predict physical behavior quickly. - By simply inputting a CAD model, results such as deformation, stress, and temperature are visualized instantly. - Design review speed improved by tens to up to 1,000 times compared to conventional analysis. - Supports a wide range of CAE areas including structural analysis, fluid analysis, and manufacturing process analysis. - Ideal for screening purposes in the early stages of design, accelerating optimization and design exploration. 【Our Strengths】 Applied Corporation is a specialized manufacturer engaged in the production and sales of industrial PCs, HPC for AI development and computational analysis, workstations, and servers. We have our own domestic factory and respond meticulously to user requests.

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Applications/Examples of results

Altair PhysicsAI is software that streamlines the design and development processes in manufacturing by allowing AI to learn from past CAE analysis results and quickly predict the physical behavior of new design shapes. It enables virtual evaluations to be conducted repeatedly from the early stages of design, improving development speed while maintaining design quality. Main applications and examples of implementation: - Rapid evaluation of structural strength and deformation behavior in the automotive/aerospace sectors - Prediction of defects/deformations in manufacturing processes such as casting, molding, and injection molding - Examination of design conditions and parameters using fluid/thermal analysis results - Screening of numerous design proposals and optimization considerations in the early design phase PhysicsAI is not intended to replace traditional CAE; rather, it is utilized as an "AI that complements CAE" by learning from analysis results such as those from Radioss and OptiStruct, and reusing that knowledge. This allows for a reduction in the number of prototypes and re-analyses, cost savings, and a shortened time to market, thereby supporting competitive design development that leverages data.