Audi AG has standardized MD Nastran as the company’s technology intended for vehicle simulation. This was announced by MSC.Software, the main provider of enterprise simulation services, software and solutions. There are over 100 MD Nastran installations that will be organized and arranged in Audi’s site for development and design in 2007 and early next year.

After the given statement, the booming and remarkable uses of engineering product solutions particularly MSC.Nastran and Adams were stated. Audi lately teamed up with MSC.Software in the development of CAEBench system. The system uses simulation and was built around SimManager Enterprise.

In opting for MD Nastran, Audi aims to have improvement for design and efficiency. This would eventually provide remarkable cost and quality benefits. Using MD Nastran ensures that Audi can have a well-organized and verifiable control for all of its data and processes.

According to Dr. Michael Holzner, Audi’s CAX Method Manager, “Audi has a ‘Vorsprung durch Technik (Progression through Technology)’ philosophy that has allowed us to build a reputation for introducing innovation and technological advances to the motor industry.”

“With increasing requirements for a variety of linear, nonlinear and dynamic analyses, MD Nastran’s comprehensive simulation capability is a critical component in this process.”

“MD Nastran is rapidly becoming the de-facto simulation technology for automotive OEMs and their suppliers. We are proud to have a strong Strategic Alliance partnership with Audi, and we are confident that together we can deliver the software solutions and support infrastructure to meet their efficiency and quality objectives,” Amir Mobayen said, Senior Vice President of MSC.Software EMEA Operations.

The MD Nastran is also the preferred solution technology at the core of SimEnterprise portfolio. The data model incorporates common types of simulation, allowing the manufacturers in addressing wide set of engineering applications in a more efficient approach. This would likewise eliminate the transferring of data and re-modeling, thus, reducing possible errors.

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