更快发现更优设计

多学科设计探索

为在创新竞赛中保持领先地位,工程师们需要迅速预测设计变更对产品实际性能的影响。而多学科模拟仿真和设计探索能帮助工程师们更快发现更优设计。

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MDX 基础

了解多学科模拟仿真和设计探索如何帮助解决汽车行业必将面临的最严峻挑战。

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STAR-CCM+ 不仅仅是一个 CFD 求解器,它还是一个完整的多学科平台,能够模拟真实条件下的产品和设计

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Multidisciplinary Simulation
The solution of complex industrial problems requires simulation tools that span a multitude of physical phenomena, which often can only be solved using techniques that cross several 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 capture all of the relevant physics and allow you to predict their influence on the real-world performance of a product.
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Design Exploration
Engineering simulation allows engineers to see into the future, predicting the consequence of any design changes on the real-world performance of their products. More than that, simulation gives engineers the opportunity to glimpse “all possible futures,” 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 conditions.”
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Affordability
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. In order to be practical in a financial sense, simulation software has to be based around a ‘design-exploration’-friendly model that allows engineers to deploy simulations on as many processors as they can lay their hands on, without having to worry about artificial licensing limits imposed by their software vendor and their finance department.
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Dedicated Support
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 also access the right expert help whenever needed.
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Backed by Experts
An uncomfortable truth about modern engineering is that there really are no easy problems left to solve. 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 the assistance of experts from outside of an individual engineer’s immediate personal area of expertise. Our software solutions are backed by an international Engineering Services team that can provide assistance in solving the most difficult problems industry has to offer.
深入探究

多学科设计探索实现产品性能的改善

 

工程设计是一个不断改进的过程。工程师们需要通过旨在改进产品性能的变动逐步完善产品。更快、更强、更轻、更高效、成本更低

每个成功的产品都是多次设计迭代的结果,每次迭代都在某种程度上提升了产品性能。尽管每次“设计升级”带来的提升通常并不显著,但是当进行数以十计、百计、千计的设计迭代之后,在真实条件下的产品性能就远远地超越了其最初设计。

然而,成功实施的每一项改进设计的背后都有更多次“失败迭代”,这些失败的尝试要么没有给产品性能带来任何提升,要么就是使产品变得更差。对于产品每次艰难的改进而言,有无数种可能使之付之一炬。这就是工程设计所面临的挑战:引导潜在改良设计的方向,做出改进产品(以最终目标为导向)的正确选择,拒绝更多的使产品变差的“错误选择”。

根据以往的经验,预测通常以人工计算或物理原型的实验测试为基础。尽管这些方法为现代社会带来了部分最伟大的技术进步,但是它们还是存在一些根本性缺陷。

首先,由于工程师被迫将现实问题简化到可以容易构思或测试的程度,以上两种方法都需要深度简化。

其次,物理试验的成本限制了它在少量特别选择的“设计点”上的应用,这些“设计点”并不一定代表产品在其使用寿命期内会面临的所有运行条件。第三,实验测试通常十分耗时,因而进入设计流程时为时已晚¬——通常只能用于确认最终设计。

如今,工程模拟可为设计流程提供最可靠的信息流。它提供更为全面的预测,与实验测试相比,其预测准确度更高并且成本有所降低。经过有效整合,工程模拟可提供工程数据流以通过多次迭代促进设计探索,从而改进产品。

工程模拟允许工程师们预析未来,预测设计变化对产品实际性能产生的影响。不仅如此,工程模拟帮助工程师们预见“未来的各种可能”,研究产品在使用寿命内可能面临的各种工作条件下的性能,而不仅仅是在一些特别选择的“设计条件”下的性能。

在工程师少量人为操作的配合下,设计探索算法可以通过广泛的参数设计变量、配置和运行方案来推动设计的改善。具体而言,利用数值优化技术,设计探索算法可智能选择最有可能实现性能改善的参数。最终,该过程将会提供远超顾客预期的产品质量和稳定性。

 

案例研究

不只是模拟,我们还在创新!

了解我公司客户如何使用 MDX 改善设计并在创新竞争中保持领先。