Enhancing CAD-based shape optimisation by automatically updating the CAD model’s parameterisation
Enhancing CAD-based shape optimisation by automatically updating the CAD model’s parameterisation
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通过自动更新 CAD 模型的参数化增强基于 CAD 的形状优化
DOI：
10.1007/s00158-018-2152-7
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发表时间：
2018
影响因子：
3.9
通讯作者：
Christos S. Kapellos
中科院分区：
文献类型：
--
作者：
Dheeraj Agarwal;T. Robinson;C. Armstrong;Christos S. Kapellos
本文提出了一种方法，它增加了灵活性的计算机辅助设计（CAD）模型自动细化其参数化和添加新的CAD功能的模型的特征树。它旨在克服初始模型创建过程中使用的参数选择所带来的限制，这些限制限制了模型形状在设计优化过程中的变化。参数有效性将使用参数化策略可以实现的最大性能改进与模型移动方式不受约束时可以获得的最大性能改进进行比较。因此，它提供了一个衡量参数化策略有多好的标准，并允许对不同的策略进行比较。由于插入多个不同的CAD特征而导致的参数有效性的变化可以使用单个伴随分析来计算;因此，计算成本基本上与正在分析的参数化策略的数量无关。所描述的方法可以用于自动地将新特征添加到模型，并且随后允许使用新添加的参数，沿着要用于优化的现有参数，从而为更好地执行产品提供机会。所开发的方法应用于在CATIA V5中创建的CAD模型的2D和3D有限元和计算流体动力学问题。
This paper presents an approach which increases the flexibility of a computer-aided design (CAD) model by automatically refining its parameterization and adding new CAD features to the model’s feature tree. It aims to overcome the limitations imposed by the choice of parameters used during the initial model creation, which constrains how the model shape can change during design optimisation. Parametric effectiveness compares the maximum performance improvement that can be achieved using a parameterisation strategy to the maximum performance improvement that can be obtained where the model is unconstrained in how it moves. As such, it provides a measure of how good a parameterisation strategy is and allows different strategies to be compared. The change in parametric effectiveness due to inserting multiple different CAD features can be calculated using a single adjoint analysis; therefore, the computational cost is essentially independent of the number of parameterisation strategies being analysed. The described approach can be used to automatically add new features to the model and subsequently allows the use of the newly added parameters, along with the existing parameters to be used for optimization, providing the opportunity for a better performing product. The developed approach is applied on CAD models created in CATIA V5 for 2D and 3D finite element and computational fluid dynamic problems.