Association of design and computational fluid dynamics simulation intent in flow control product optimization

Li, Lei; Lange, Carlos F.; Ma, Yongsheng

doi:10.1177/0954405417697352

Cited by 11 publications

(3 citation statements)

References 33 publications

(41 reference statements)

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“…The simulation objects of FSI include the solid domain and fluid domain, and the solution of the fluid domain depends on CFD [12]. For components involving internal fluid flow, a large number of CFD simulations are necessary for the design optimization of flow channels due to their complex structures [14], which requires significant experience and time input. To alleviate this issue, CFD simulations are in urgent need for intelligence.…”

Section: Intelligence In Fsi Simulationmentioning

confidence: 99%

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Intelligent Design Optimization System for Additively Manufactured Flow Channels Based on Fluid–Structure Interaction

Zou

et al. 2022

Micromachines

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Based on expert system theory and fluid–structure interaction (FSI), this paper suggests an intelligent design optimization system to derive the optimal shape of both the fluid and solid domain of flow channels. A parametric modeling scheme of flow channels is developed by design for additive manufacturing (DfAM). By changing design parameters, a series of flow channel models can be obtained. According to the design characteristics, the system can intelligently allocate suitable computational models to compute the flow field of a specific model. The pressure-based normal stress is abstracted from the results and transmitted to the solid region by the fluid–structure (FS) interface to analyze the strength of the structure. The design space is obtained by investigating the simulation results with the metamodeling method, which is further applied for pursuing design objectives under constraints. Finally, the improved design is derived by gradient-based optimization. This system can improve the accuracy of the FSI simulation and the efficiency of the optimization process. The design optimization of a flow channel in a simplified hydraulic manifold is applied as the case study to validate the feasibility of the proposed system.

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Section: Intelligence In Fsi Simulationmentioning

confidence: 99%

“…Based on the previous research on the intelligent CFD simulation system [14,39,40], the intelligent FSI simulation system is proposed, as illustrated in Figure 2. This system is composed of CFD simulation and structure simulation, with the interface between FS domains as the medium of the data transfer.…”

Section: Intelligent Fsi Simulation Systemmentioning

confidence: 99%

Intelligent Design Optimization System for Additively Manufactured Flow Channels Based on Fluid–Structure Interaction

Zou

et al. 2022

Micromachines

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“…Gujarathi et al [15] proposed the integration of design-analysis using a unified data model. Li et al [27] present a practical CAD/CFD integration framework that seamlessly integrates CAD and CFD tools to facilitate the cycle product development process and simplify the CFD solver setup.…”

Section: Introductionmentioning

confidence: 99%

Multiphysics Modeling of Gas Turbine Based on CADSS Technology

2020

Shock and Vibration

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Product modeling has been applied in product engineering with success for geometric representation. With the application of multidisciplinary analysis, application-driven models need specific knowledge and time-consuming adjustment work based on the geometric model. This paper proposes a novel modeling technology named computer-aided design-supporting-simulation (CADSS) to generate multiphysics domain models to support multidisciplinary design optimization processes. Multiphysics model representation was analyzed to verify gaps among different domain models’ parameters. Therefore, multiphysics domain model architecture was integrated by optimization model, design model, and simulation model in consideration of domain model’s parameters. Besides, CADSS uses requirement space, domain knowledge, and software technology to describe the multidisciplinary model’s parameters and its transition. Depending on the domain requirements, the CADSS system extracts the required knowledge by decomposing product functions and then embeds the domain knowledge into functional features using software technology. This research aims to effectively complete the design cycle and improve the design quality by providing a consistent and concurrent modeling environment to generate an adaptable model for multiphysics simulation. This system is demonstrated by modeling turbine blade design with multiphysics simulations including computational fluid dynamics (CFD), conjugate heat transfer (CHT), and finite element analysis (FEA). Moreover, the blade multiphysics simulation model is validated by the optimization design of the film hole. The results show that the high-fidelity multiphysics simulation model generated through CADSS can be adapted to subsequent simulations.

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