Xinlei Zhang , Lishui Cui , Chunhui Li , Peijuan Cao , Shan Gao
{"title":"基于CFD分析的气体流动标定RoR法温度校正研究","authors":"Xinlei Zhang , Lishui Cui , Chunhui Li , Peijuan Cao , Shan Gao","doi":"10.1016/j.flowmeasinst.2025.102928","DOIUrl":null,"url":null,"abstract":"<div><div>The rate-of-rise (RoR) method determines flow by measuring the dynamic changes in gas pressure and temperature within a constant volume chamber during the measurement time. MFV devices based on the RoR method are commonly used to calibrate thermal mass flow controllers (MFCs), which are widely-used in semiconductor manufacturing or environmental monitoring. Starting point of valid data for RoR measurement is preferably after temperature equilibrium has been established. The thermal equilibrium time varies with inlet flow. Additionally, due to the flow work phenomena, the total gas temperature inside the chamber is higher than the temperature measured at the outer wall of the chamber at thermal equilibrium. Therefore, the temperature correction in RoR method and thermal equilibrium time significantly affect the accuracy level of the MFV. Particularly, thermal equilibrium time and convective heat transfer coefficient between the gas and the chamber is difficult to obtain directly.</div><div>We focus on the key parameters in the MFV temperature correction method: convective heat transfer coefficient and thermal equilibrium time. Based on transient computational fluid dynamics (CFD) simulations in a nitrogen medium, we have chosen to study pressure, temperature, and convective heat transfer coefficients over time during the RoR measurement process, defined the thermal equilibrium time applicable to actual measurements, and analyzed the influence of each parameter in the temperature correction, especially the mechanisms of the convective heat transfer coefficient and thermal equilibrium time on temperature. Finally, the temperature correction method for MFV which range is 3–3000 sccm N<sub>2</sub> equivalent is proposed based on simulation, which accuracy is lower than 1 %.</div></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"105 ","pages":"Article 102928"},"PeriodicalIF":2.3000,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigation on the temperature correction in RoR method for the calibration of gas flow based on CFD analysis\",\"authors\":\"Xinlei Zhang , Lishui Cui , Chunhui Li , Peijuan Cao , Shan Gao\",\"doi\":\"10.1016/j.flowmeasinst.2025.102928\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The rate-of-rise (RoR) method determines flow by measuring the dynamic changes in gas pressure and temperature within a constant volume chamber during the measurement time. MFV devices based on the RoR method are commonly used to calibrate thermal mass flow controllers (MFCs), which are widely-used in semiconductor manufacturing or environmental monitoring. Starting point of valid data for RoR measurement is preferably after temperature equilibrium has been established. The thermal equilibrium time varies with inlet flow. Additionally, due to the flow work phenomena, the total gas temperature inside the chamber is higher than the temperature measured at the outer wall of the chamber at thermal equilibrium. Therefore, the temperature correction in RoR method and thermal equilibrium time significantly affect the accuracy level of the MFV. Particularly, thermal equilibrium time and convective heat transfer coefficient between the gas and the chamber is difficult to obtain directly.</div><div>We focus on the key parameters in the MFV temperature correction method: convective heat transfer coefficient and thermal equilibrium time. Based on transient computational fluid dynamics (CFD) simulations in a nitrogen medium, we have chosen to study pressure, temperature, and convective heat transfer coefficients over time during the RoR measurement process, defined the thermal equilibrium time applicable to actual measurements, and analyzed the influence of each parameter in the temperature correction, especially the mechanisms of the convective heat transfer coefficient and thermal equilibrium time on temperature. Finally, the temperature correction method for MFV which range is 3–3000 sccm N<sub>2</sub> equivalent is proposed based on simulation, which accuracy is lower than 1 %.</div></div>\",\"PeriodicalId\":50440,\"journal\":{\"name\":\"Flow Measurement and Instrumentation\",\"volume\":\"105 \",\"pages\":\"Article 102928\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-04-29\",\"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/S0955598625001207\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Flow Measurement and Instrumentation","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0955598625001207","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}
Investigation on the temperature correction in RoR method for the calibration of gas flow based on CFD analysis
The rate-of-rise (RoR) method determines flow by measuring the dynamic changes in gas pressure and temperature within a constant volume chamber during the measurement time. MFV devices based on the RoR method are commonly used to calibrate thermal mass flow controllers (MFCs), which are widely-used in semiconductor manufacturing or environmental monitoring. Starting point of valid data for RoR measurement is preferably after temperature equilibrium has been established. The thermal equilibrium time varies with inlet flow. Additionally, due to the flow work phenomena, the total gas temperature inside the chamber is higher than the temperature measured at the outer wall of the chamber at thermal equilibrium. Therefore, the temperature correction in RoR method and thermal equilibrium time significantly affect the accuracy level of the MFV. Particularly, thermal equilibrium time and convective heat transfer coefficient between the gas and the chamber is difficult to obtain directly.
We focus on the key parameters in the MFV temperature correction method: convective heat transfer coefficient and thermal equilibrium time. Based on transient computational fluid dynamics (CFD) simulations in a nitrogen medium, we have chosen to study pressure, temperature, and convective heat transfer coefficients over time during the RoR measurement process, defined the thermal equilibrium time applicable to actual measurements, and analyzed the influence of each parameter in the temperature correction, especially the mechanisms of the convective heat transfer coefficient and thermal equilibrium time on temperature. Finally, the temperature correction method for MFV which range is 3–3000 sccm N2 equivalent is proposed based on simulation, which accuracy is lower than 1 %.
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.