Star CCM+ 2021.3.1 R8 Double Precision x64 Multilingual

Predicting the real-world performance of a product requires simulation tools that span a variety of engineering disciplines. STAR-CCM+ is an all-in-one solution that delivers accurate and efficient multidisciplinary technologies in a single integrated user interface.

Why STAR-CCM+?
Don't just simulate, innovate!
In order to design better products, engineers need to predict the consequence of any design changes on the real-world performance of their product, for better or for worse. Historically those predictions came from hand calculations or from the experimental testing of physical prototypes. Today, engineering simulation offers comprehensive predictions that are usually more accurate and always less expensive than experimental testing. Deployed effectively, these can be used to improve a design through multiple iterations. Ultimately this results in higher quality and more robust products that better fulfill customer expectations. Unlike other methods, engineering simulation also offers the benefit of exploring the performance of a product over the full range of operating conditions that it is likely to face in its working life, rather than just at a handful of carefully chosen “design points.” However, not all engineering simulation tools are created equal. In order to provide a constant stream of relevant engineering data, simulation software must be:

Multidisciplinary
Solving complex industrial problems requires simulation tools that span a multitude of physical phenomena and a variety of engineering disciplines. Real-world engineering problems do not separate themselves into convenient categories such as “aerodynamics”, “hydrodynamics”, “heat transfer” and “solid mechanics”. Only multidisciplinary engineering simulation can accurately capture all of the relevant physics that influence the real-world performance of a product, and can be used to automatically drive the virtual product through a range of design configurations and operating scenarios. By minimizing the level of approximation, engineers can be confident that the predicted behavior of their design will match the real-world performance of their product.

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