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首页> 外文会议>SAE World Congress and Exhibition >Development of CFD Shape Optimization Technology using the Adjoint Method and its Application to Engine Intake Port Design
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Development of CFD Shape Optimization Technology using the Adjoint Method and its Application to Engine Intake Port Design

机译：CFD形状优化技术的开发利用伴随方法及其应用于发动机进气口设计

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Computational fluid dynamics (CFD) shape optimization technology is playing an increasingly significant role in the development of products that satisfy various demands, including trade-off relationships. It offers the possibility of designing or improving product shape with respect to a given cost function, subject to geometrical constraints. However, conventional CFD shape optimization technology that uses parametric shape modification has two following issues: (1) expensive computational cost to obtain the final shape, (2) performance variations of the obtained shape depends on the skill or experience of the designer who determined the locations to be modified. In this study, to resolve those problems, an efficient shape optimization technology was developed that uses the adjoint method to perform sensitivity analysis of a cost function on the design parameters. It is composed of a combination of topology optimization and surface geometry optimization. Firstly, topology optimization is used to roughly derive a base shape in the constrained design space. Next, surface geometry optimization is used to further modify the base shape according to the sensitivity distributions of the cost function to each vertex on the surface geometry. This technology was then applied to the design of an engine intake port. The cost function was defined as the balance between maximizing the intake flow rate and in-cylinder tumble moment. As a result, topologically optimized shapes with various performance aspects according to the weighting factor of the cost function were obtained. Then, the topologically optimized shapes were fine-tuned by surface geometry optimization.
机译：计算流体动力学（CFD）形状优化技术在满足各种需求的产品开发中发挥着越来越重要的作用，包括权衡关系。它提供了在经过几何限制的情况下为给定的成本函数设计或改善产品形状的可能性。然而，使用参数形状修改的传统CFD形状优化技术具有以下两个问题：（1）获得最终形状的昂贵的计算成本，（2）所获得的形状的性能变化取决于确定的设计师的技能或经验要修改的位置。在本研究中，为了解决这些问题，开发了一种有效的形状优化技术，该技术使用伴随方法对设计参数进行了成本函数的灵敏度分析。它由拓扑优化和表面几何优化的组合组成。首先，拓扑优化用于大致导出约束设计空间中的基础形状。接下来，使用表面几何优化来根据成本函数的敏感性分布进一步修改基础形状，对表面几何形状上的每个顶点。然后将该技术应用于发动机进气口的设计。成本函数被定义为最大化进气流率和缸内滚筒的平衡。结果，获得了根据成本函数的加权因子的具有各种性能方面的拓扑优化的形状。然后，通过表面几何优化进行微调，拓扑优化的形状。

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