Siemens Star CCM+ 2410R8 v19.06.008-R8 Double Precision x64 Multilingual

预测产品的实际性能需要涵盖多种工程学科的仿真工具。STAR-CCM+ 是一款一体化解决方案，可在单一集成用户界面中提供精准高效的多学科技术。

为何选择 STAR-CCM+？
不止于仿真，更要创新！
为了设计出更出色的产品，工程师需要预测任何设计变更对其产品实际性能的影响，无论好坏。过去，这些预测通常来自手工计算或物理原型的实验测试。如今，工程仿真提供了全面的预测，通常比实验测试更准确，成本也更低。如果有效部署，这些预测可以通过多次迭代来改进设计。最终，这将带来更高质量、更稳健的产品，更好地满足客户期望。与其他方法不同，工程仿真还具有探索产品在其工作寿命期间可能遇到的各种运行条件下的性能优势，而不仅仅是在少数几个精心挑选的“设计点”。然而，并非所有工程仿真工具都生而平等。为了提供持续相关的工程数据流，仿真软件必须

多学科
解决复杂的工业问题需要涵盖众多物理现象和各种工程学科的仿真工具。现实世界的工程问题并不能简单地划分为“空气动力学”、“流体动力学”、“传热学”和“固体力学”等类别。只有多学科工程仿真才能准确捕捉影响产品实际性能的所有相关物理场，并可用于自动驱动虚拟产品完成一系列设计配置和操作场景。通过最大限度地降低近似程度，工程师可以确信其设计的预测行为将与产品的实际性能相匹配。

及时
无论您的仿真多么“逼真”，如果它提供的数据不影响产品的最终设计，那就毫无用处。为了使仿真成为工程设计过程中的有用工具，必须每次都按时提供预测。仿真结果迟迟不出来，并不比没有结果好多少。理想情况下，仿真应该生成持续的数据流，指导和指导设计过程的每一个决策。这只有在仿真过程稳健且自动化的情况下才能实现。一旦工程师投资创建了多学科仿真模型，该模型就应该能够轻松重新部署，用于研究各种设计配置和操作场景，几乎无需工程师手动操作。

经济实惠
有效使用工程仿真，始终能够带来高投资回报率 (ROI)。它在降低开发成本和增加产品收入方面带来的收益远远超过其实施成本。然而，传统的工程仿真许可方案可能会使实验人员从“仅测试几个设计点”的思维模式转变为“研究整个设计空间”的成本过高。这是因为大多数工程仿真软件供应商的许可模式都建立在“用得越多，损失越大”这一不完善的范式之上，按核心而非按仿真收费，并将客户的许可证成本与其在仿真中允许使用的最大核心数量之间几乎呈线性关系。诸如 Power Sessions（以固定价格提供无限核心）、Power-on-Demand（支持您在云端运行）和 Power Tokens（提供前所未有的灵活性并促进设计探索）等创新许可方案，使得使用工程仿真的成本变得可承受。

专家支持
现代工程中一个令人不安的事实是，几乎没有简单的问题可以解决。为了满足行业需求，仅仅进行“一点 CFD”或“一些应力分析”已经不够了。为了设计出真正创新的产品，工程师们常常“突破可能性的界限”。仅凭一己之力很难做到这一点，而且通常需要工程师自身专业领域之外的专业知识。为了取得成功，工程师应该能够随时联系到仿真专家团队，理想情况下，最好与一位专门的支持工程师建立联系，这位支持工程师不仅了解工程师的问题，还能在需要时随时获得合适的专家帮助。

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.

Timely
No matter how “realistic” your simulation is, the data it provides is useless if it does not influence the final design of your product. For simulation to be a useful tool in the engineering design process, predictions must be delivered on time, every time. A late simulation result is not much better than no result at all. Ideally, simulation should generate a constant stream of data that guides and informs the design process through every decision. This is only possible when the simulation process is a robust and automated one. Once an engineer has invested in the creation of a multidisciplinary simulation model, that model should be easily redeployable to investigate a full range of design configurations and operating scenarios, with little or no manual effort from the engineer.

Affordable
Used effectively, engineering simulation consistently delivers a high return on investment (ROI). It provides far more in terms of reduced development costs and increased product revenue than it costs to implement. However, traditional engineering simulation licensing schemes can make the transition from an experimentalist’s mindset of “testing just a few design points” to “investigating the whole design space” prohibitively expensive. This is because most engineering simulation software vendors base their licensing model around the broken paradigm of “the more you use, the more you lose,” charging you per core instead of per simulation and tying customers to an almost linear relationship between the cost of their license and the maximum number of cores that they are allowed to utilize in their simulations. Innovative licensing schemes such as Power Sessions (giving you unlimited cores for a fixed price), Power-on-Demand (enabling you to run on the cloud) and Power Tokens (giving you unprecedented flexibility and facilitating design exploration) render the cost of using engineering simulation affordable.

Backed by experts
An uncomfortable truth about modern engineering is that there really are no easy problems left to solve. In order to meet the demands of industry, it is no longer good enough to do ‘a bit of CFD’ or ‘some stress analysis’. In order to design truly innovative products, engineers are often “pushing back the boundaries of the possible”. This is something that is difficult to achieve in isolation, and often requires competences outside an individual engineer’s immediate area of expertise. In order to be successful, an engineer should have ready access to a community of simulation experts, and ideally an established relationship with a dedicated support engineer who not only understands the engineer’s problems, but can approach the right expert help whenever needed.