{"title":"OpenFOAM的增强涡轮机械功能:CAD解决方案和混合平面的验证和集成","authors":"Lorenz Hammerschmidt, Zlatko Raonic","doi":"10.1016/j.ijft.2025.101341","DOIUrl":null,"url":null,"abstract":"<div><div>This study presents an enhanced, open-source workflow for turbomachinery design and simulation by integrating a fully parametric CAE solution (<em>pyTurbo</em>) with a modified OpenFOAM solver (<em>turboSimpleFoam</em>) capable of handling mixing-plane interfaces and rothalpy-based energy modelling. The new workflow bridges the gap between geometry generation and compressible CFD analysis for radial machines, enabling rapid, scriptable, and reproducible design iterations. The underlying geometry engine, <em>pyNURBS</em>, offers robust NURBS-based operations for high-fidelity construction of turbomachinery components including blades, casings, and volutes. The framework is validated using the Sundstrand Power Systems T-100 radial turbine as a benchmark, comparing geometry and simulation results with ANSYS BladeGen, ANSYS CFX, and experimental data. Results demonstrate strong agreement in geometry and performance metrics, with efficiency deviations below 2% and mass flow errors under 1%, confirming the viability of the framework as an open-source alternative to commercial CAE pipelines. Moreover, this implementation establishes a solid foundation for future research in turbomachinery design, including structural analysis, multi-region solving, and automated optimisation loops, thereby enabling seamless integration of CAD and CFD workflows within the OpenFOAM ecosystem.</div></div>","PeriodicalId":36341,"journal":{"name":"International Journal of Thermofluids","volume":"29 ","pages":"Article 101341"},"PeriodicalIF":0.0000,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhanced turbomachinery capabilities for OpenFOAM: Validation and integration of a CAD solution and mixing-plane\",\"authors\":\"Lorenz Hammerschmidt, Zlatko Raonic\",\"doi\":\"10.1016/j.ijft.2025.101341\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study presents an enhanced, open-source workflow for turbomachinery design and simulation by integrating a fully parametric CAE solution (<em>pyTurbo</em>) with a modified OpenFOAM solver (<em>turboSimpleFoam</em>) capable of handling mixing-plane interfaces and rothalpy-based energy modelling. The new workflow bridges the gap between geometry generation and compressible CFD analysis for radial machines, enabling rapid, scriptable, and reproducible design iterations. The underlying geometry engine, <em>pyNURBS</em>, offers robust NURBS-based operations for high-fidelity construction of turbomachinery components including blades, casings, and volutes. The framework is validated using the Sundstrand Power Systems T-100 radial turbine as a benchmark, comparing geometry and simulation results with ANSYS BladeGen, ANSYS CFX, and experimental data. Results demonstrate strong agreement in geometry and performance metrics, with efficiency deviations below 2% and mass flow errors under 1%, confirming the viability of the framework as an open-source alternative to commercial CAE pipelines. Moreover, this implementation establishes a solid foundation for future research in turbomachinery design, including structural analysis, multi-region solving, and automated optimisation loops, thereby enabling seamless integration of CAD and CFD workflows within the OpenFOAM ecosystem.</div></div>\",\"PeriodicalId\":36341,\"journal\":{\"name\":\"International Journal of Thermofluids\",\"volume\":\"29 \",\"pages\":\"Article 101341\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Thermofluids\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666202725002873\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Chemical Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Thermofluids","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666202725002873","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Chemical Engineering","Score":null,"Total":0}
引用次数: 0
摘要
本研究通过将全参数CAE解决方案(pyTurbo)与改进的OpenFOAM求解器(turboSimpleFoam)集成在一起,提出了一种增强的、开源的涡轮机械设计和仿真工作流程,该解决方案能够处理混合平面接口和基于rothalpy的能量建模。新的工作流程弥合了径向机床几何图形生成和可压缩CFD分析之间的差距,实现了快速、可脚本化和可重复的设计迭代。底层几何引擎pyNURBS为涡轮机械部件(包括叶片、外壳和蜗壳)的高保真构造提供了强大的基于nurbs的操作。该框架以Sundstrand Power Systems T-100径向涡轮机为基准进行验证,将几何形状和仿真结果与ANSYS BladeGen、ANSYS CFX和实验数据进行比较。结果表明,该框架在几何形状和性能指标上非常一致,效率偏差低于2%,质量流量误差低于1%,证实了该框架作为商用CAE管道的开源替代方案的可行性。此外,这一实现为未来涡轮机械设计的研究奠定了坚实的基础,包括结构分析、多区域求解和自动优化循环,从而在OpenFOAM生态系统中实现CAD和CFD工作流程的无缝集成。
Enhanced turbomachinery capabilities for OpenFOAM: Validation and integration of a CAD solution and mixing-plane
This study presents an enhanced, open-source workflow for turbomachinery design and simulation by integrating a fully parametric CAE solution (pyTurbo) with a modified OpenFOAM solver (turboSimpleFoam) capable of handling mixing-plane interfaces and rothalpy-based energy modelling. The new workflow bridges the gap between geometry generation and compressible CFD analysis for radial machines, enabling rapid, scriptable, and reproducible design iterations. The underlying geometry engine, pyNURBS, offers robust NURBS-based operations for high-fidelity construction of turbomachinery components including blades, casings, and volutes. The framework is validated using the Sundstrand Power Systems T-100 radial turbine as a benchmark, comparing geometry and simulation results with ANSYS BladeGen, ANSYS CFX, and experimental data. Results demonstrate strong agreement in geometry and performance metrics, with efficiency deviations below 2% and mass flow errors under 1%, confirming the viability of the framework as an open-source alternative to commercial CAE pipelines. Moreover, this implementation establishes a solid foundation for future research in turbomachinery design, including structural analysis, multi-region solving, and automated optimisation loops, thereby enabling seamless integration of CAD and CFD workflows within the OpenFOAM ecosystem.