A 23-year strategic collaboration for virtual performance analysis.
We would like to introduce Volkswagen as a case study for the implementation of the shock and collision simulation "PAM-CRASH." The Volkswagen Group is the largest automobile manufacturer in Europe, having sold over 6 million vehicles in 2008, and is one of the major global automotive manufacturers. The collaboration between ESI Group, a pioneer in collision simulation, and the Volkswagen Group dates back to 1986, and through their cooperation, the first collision simulation method using PAM-CRASH was developed 23 years ago. ESI Group continues to provide the best technologies for automotive collisions, occupant safety, and structural simulation to the Volkswagen Group. For more details, please contact us or download the catalog.
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basic information
【Merits】 ○ Optimization of product performance → Significant reduction in product development process time ○ Reduction of product development costs ○ Shortening of development period ○ Promotion of product innovation ● For more details, please contact us or download the catalog.
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Applications/Examples of results
【Purpose】 ○ For impact and collision simulation. → Applicable fields: automobiles, ships, aerospace, railways, sports equipment, biotechnology (biomechanics), machinery, nuclear power, consumer electronics, etc. ● For more details, please contact us.
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Company information
ESI Group is a leading company in "virtual prototyping," providing innovative solutions and services that emphasize "materials physics." We have developed unique solutions that enable the replacement of physical prototypes and experiments with virtual design, manufacturing, assembly, testing, and evaluation. Leveraging today's cutting-edge technology, ESI's virtual prototyping addresses the challenge of performance evaluation throughout the product lifecycle, from the start of use to the end of life, proposing a broader concept: Product Performance Lifecycle (TM). This is achieved by creating a Hybrid Twin (TM) that utilizes simulation, physics, and data analysis, allowing for smarter product development, maintaining a connection with the actual product, and enabling performance predictions and maintenance timing throughout the product's usage period.
