Temperature measurement of a turbulent buoyant ethylene diffusion flame using a dual-thermocouple technique

Ren, Xingyu; Zeng, Dong; Wang, Yi; Xiong, Gang; Agarwal, G. S.; Gollner, Michael J.

doi:10.1016/j.firesaf.2020.103061

Cited by 24 publications

(3 citation statements)

References 25 publications

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“…In practice, the high-temperature service performance of the sensor is a key indicator to evaluate its service life [10] . The sensor was placed in the chamber of a high-temperature calibration furnace and the upper temperature limit of the chamber was set to 1200°C.…”

Section: Sensor High-temperature Serviceabilitymentioning

confidence: 99%

A novel sensor with excellent high-temperature performance for in-situ temperature measurement

Cui,

Song,

Wang

et al. 2024

J. Phys.: Conf. Ser.

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Real-time access to critical information about system temperature variations is essential for evaluating system performance in some of the high-temperature and harsh environments. Given the technical difficulty of accurately obtaining the temperature of a high-temperature and harsh environment, a new sensor package structure is proposed. Combining ceramic sintering and isostatic pressure molding methods, the thermal junction is fixed in the temperature measurement end face of the alumina ceramic substrate, while the shell design threads play a role in fixing the sensor and preventing loosening. This paper conducted repeatability, upper-temperature limit, and high-temperature serviceability assessment tests on the sensor. The results show that the sensor maximum repeatability error is 2.4%. The sensor can continue to operate at 1200°C for more than 6 hours with no signal interruption and the upper limit of temperature measurement is 1307°C. The results demonstrate the feasibility and practicality of temperature measurement by this sensor in high-temperature and harsh environments.

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Section: Sensor High-temperature Serviceabilitymentioning

confidence: 99%

A novel sensor with excellent high-temperature performance for in-situ temperature measurement

Cui,

Song,

Wang

et al. 2024

J. Phys.: Conf. Ser.

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“…𝑓(𝑥) = −1723 − 267.3cos 0.003313𝑥 + 2914sin 0.003313𝑥 + 968.3cos 0.006626𝑥 − 2.502sin 0.006626𝑥 Before starting the analysis of the variation of temperature and time and the melting and crystallization process of the mold melt as a function of time [7], we give the temperature time as a function of time for #1 and #2, as Figure 5.…”

Section: 23time Series Modeling Of Different Features Of the Mold Cry...mentioning

confidence: 99%

Kinetic study on the melting and crystallization of mold fluxe

Yun,

Li,

Zhou

2023

International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023)

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In this paper, temperature-time models with different characteristics, melting and crystallization versus temperature and time as well as melting rate versus temperature and crystallization rate versus temperature are developed around the design problem of mold flux. Finally, the dynamic changes between successive photographs of the melting and crystallization processes of the nearby die flow are successfully analyzed and quantified by means of RGB analysis, ORB algorithm and Fourier series fitting and finally, the temperature and time variations, the melting and crystallization processes of the die melt as a function of temperature and time, and the melting and crystallization kinetics of the die melt, i.e., the relationship between temperature, melting rate and crystallization rate are discussed. The above research is beneficial in guiding the design of mold fluxes to meet the solidification requirements of steel grades. Because this process wastes manpower and hinders the development of experimental process information, there is an urgent need to develop automatic feature extraction and mathematical modeling techniques for automatic feature sequence images.

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“…However, contrary to common belief the process of temperature measurement is complex and it may be that the recorded value differs significantly from the real hot gas temperature [1]. This especially concerns unsteady cases and is mainly caused by the thermal inertia of the thermocouple bead under turbulent, fluctuating fire conditions [2]. The thermocouple bead diameter is of great importance here [3].…”

Section: Introductionmentioning

confidence: 96%

A Study on the Reliability of Modeling of Thermocouple Response and Sprinkler Activation during Compartment Fires

et al. 2022

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Real and numerical fire experiments involve temperature measurements with thermocouples, and thus some considerations on numerical modeling of this process are presented and a new approach to thermocouple modeling is introduced. Using ANSYS Fluent software a well-recognized analytical thermocouple model was implemented in each cell of the computational domain, which allows for determination of thermocouple responses as a continuous field. Similarly, sprinklers are key elements of fire-protection systems. Sprinklers activation is one of the breakthrough moments during the course of a compartment fire. Therefore, assumptions on sprinkler activation time are of crucial importance when designing a fire safety system. Just as for thermocouple modeling, virtual sprinklers based on a commonly admitted response time index (RTI) model were placed in all cells. The proposed approach provides data on sprinklers activation or thermocouple response for the whole domain instead of retrieving data point by point only for predefined locations. In this study, experimental data available in the literature were used for the validation of the proposed approach. In addition, the results were compared with those obtained with the commonly used Fire Dynamic Simulator (FDS) software. The outcomes might be of a significant importance for practitioners, who deal with fire experiments and fire protection. Furthermore, some issues on accurate modeling of fire gases flow are discussed extensively. It was found that commonly applied k-ε and k-ω turbulence models might fail in the case of modeling of fire plumes in confined spaces.

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Temperature measurement of a turbulent buoyant ethylene diffusion flame using a dual-thermocouple technique

Abstract: A temperature dataset is established for a buoyant turbulent ethylene flame.• A dual-thermocouple technique is used to compensate turbulent gas temperatures.• Mean, root-mean square and probability density function temperatures are provided.

Cited by 24 publications

References 25 publications

A novel sensor with excellent high-temperature performance for in-situ temperature measurement

A novel sensor with excellent high-temperature performance for in-situ temperature measurement

Kinetic study on the melting and crystallization of mold fluxe

A Study on the Reliability of Modeling of Thermocouple Response and Sprinkler Activation during Compartment Fires

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