Wang Guan , Guangfei Xu , Linyuan Kou , Wang Li , Hongping Liu , Le Xu , Xu Wang
{"title":"A hybrid cellular automata-based topology optimization method for incompressible fluid flow channels","authors":"Wang Guan , Guangfei Xu , Linyuan Kou , Wang Li , Hongping Liu , Le Xu , Xu Wang","doi":"10.1016/j.flowmeasinst.2025.102867","DOIUrl":null,"url":null,"abstract":"<div><div>Optimization of fluid flow paths has become essential for enhancing the performance and efficiency of engineering systems. This study investigates the topology optimization problem for steady-state incompressible Navier-Stokes flow. By leveraging the potential of hybrid cellular automata to simulate complex system behaviors, this approach is combined with computational fluid dynamics to propose a variable density topology optimization algorithm applicable to incompressible fluid flow channels. Using a three-terminal device as an example, numerical simulations and experiments verify that the variable density topology optimization method for the Solid Isotropic Material with Penalization interpolation model, when augmented with a local control criterion, significantly improves the performance of the fluid system. The topology optimization system is applied to models under various working conditions, demonstrating good generality.</div></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"104 ","pages":"Article 102867"},"PeriodicalIF":2.3000,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Flow Measurement and Instrumentation","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0955598625000597","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Optimization of fluid flow paths has become essential for enhancing the performance and efficiency of engineering systems. This study investigates the topology optimization problem for steady-state incompressible Navier-Stokes flow. By leveraging the potential of hybrid cellular automata to simulate complex system behaviors, this approach is combined with computational fluid dynamics to propose a variable density topology optimization algorithm applicable to incompressible fluid flow channels. Using a three-terminal device as an example, numerical simulations and experiments verify that the variable density topology optimization method for the Solid Isotropic Material with Penalization interpolation model, when augmented with a local control criterion, significantly improves the performance of the fluid system. The topology optimization system is applied to models under various working conditions, demonstrating good generality.
期刊介绍:
Flow Measurement and Instrumentation is dedicated to disseminating the latest research results on all aspects of flow measurement, in both closed conduits and open channels. The design of flow measurement systems involves a wide variety of multidisciplinary activities including modelling the flow sensor, the fluid flow and the sensor/fluid interactions through the use of computation techniques; the development of advanced transducer systems and their associated signal processing and the laboratory and field assessment of the overall system under ideal and disturbed conditions.
FMI is the essential forum for critical information exchange, and contributions are particularly encouraged in the following areas of interest:
Modelling: the application of mathematical and computational modelling to the interaction of fluid dynamics with flowmeters, including flowmeter behaviour, improved flowmeter design and installation problems. Application of CAD/CAE techniques to flowmeter modelling are eligible.
Design and development: the detailed design of the flowmeter head and/or signal processing aspects of novel flowmeters. Emphasis is given to papers identifying new sensor configurations, multisensor flow measurement systems, non-intrusive flow metering techniques and the application of microelectronic techniques in smart or intelligent systems.
Calibration techniques: including descriptions of new or existing calibration facilities and techniques, calibration data from different flowmeter types, and calibration intercomparison data from different laboratories.
Installation effect data: dealing with the effects of non-ideal flow conditions on flowmeters. Papers combining a theoretical understanding of flowmeter behaviour with experimental work are particularly welcome.