Review of Convective Heat Transfer Modelling in CFD Simulations of Fire-Driven Flows

Maragkos, Georgios; Beji, Tarek

doi:10.3390/app11115240

Cited by 16 publications

(6 citation statements)

References 60 publications

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“…Recently, there has been a rising interest in providing fire systems that can provide reliable early detection of fires [1]. However, most conventional studies of fire science are based on numerical experiments such as CFD simulations [2][3][4] and not on actual experimentation.…”

Section: Introductionmentioning

confidence: 99%

Early Fire Detection: A New Indoor Laboratory Dataset and Data Distribution Analysis

Nazir

Mosleh

Takruri

et al. 2022

Fire

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Fire alarm systems are typically equipped with various sensors such as heat, smoke, and gas detectors. These provide fire alerts and notifications of emergency exits when a fire has been detected. However, such systems do not give early warning in order to allow appropriate action to be taken when an alarm is first triggered, as the fire may have already caused severe damage. This paper analyzes a new dataset gathered from controlled realistic fire experiments conducted in an indoor laboratory environment. The experiments were conducted in a controlled manner by triggering the source of fire using electrical devices and charcoal on paperboard, cardboard or clothing. Important data such as humidity, temperature, MQ139, Total Volatile Organic Compounds (TVOC) and eCO2 were collected using sensor devices. These datasets will be extremely valuable to researchers in the machine learning and data science communities interested in pursuing novel advanced statistical and machine learning techniques and methods for developing early fire detection systems. The analysis of the collected data demonstrates the possibility of using eCO2 and TVOC reading levels for early detection of smoldering fires. The experimental setup was based on Low-Power Wireless Area Networks (LPWAN), which can be used to reliably deliver fire-related data over long ranges without depending on the status of a cellular or WiFi Network.

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Section: Introductionmentioning

confidence: 99%

Early Fire Detection: A New Indoor Laboratory Dataset and Data Distribution Analysis

Nazir

Mosleh

Takruri

et al. 2022

Fire

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“…The convective heat flux is sensitive to mesh size, with approximately a 2 kW/m 2 difference between mesh sizes of 1.25 and 2.5–10 cm. This can be explained by the solvable temperature gradient, which is primarily influenced by the near‐wall grid cell 41 . The coarser mesh tends to underestimate the temperature gradient, resulting in a reduction in heat convection.…”

Section: Resultsmentioning

confidence: 99%

“…This can be explained by the solvable temperature gradient, which is primarily influenced by the near-wall grid cell. 41 The coarser mesh tends to underestimate the temperature gradient, resulting in a reduction in heat convection. Considering the convective heat flux constitutes a small fraction of the total heat flux, its differences under varied mesh sizes are acceptable for predicting the overall flame spread.…”

Section: Experimental Comparisons and Mesh Sensitivity Analysismentioning

confidence: 99%

Large eddy simulations fire modeling of JIS A 1310 façade calibration test with respect to sidewall

Sun,

Yoshioka,

Noguchi

et al. 2024

Fire and Materials

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The full‐scale façade standard test is widely employed as a comprehensive method to assess the façade fire spread. Within this approach, the calibration test without combustible façade decouples the intricate interaction between gas‐phase combustion and material pyrolysis, which simplifies diagnostics and provides an ideal scenario for model validation. This paper presents large eddy simulations (LES) accompanied by comparisons of calibration tests in accordance with JIS A 1310. The calibration tests were conducted to obtain the flame morphologies, gas‐phase temperature, and heat flux of over‐ventilated façade fires, and the LES modeling is complemented by the modified eddy dissipation model for combustion, the one‐equation model for the sub‐grid scale turbulence, and the discrete ordinate method with the gray mean absorption‐emission approach for thermal radiation. The accuracy of LES data is discussed by comparing with measurements, and the mesh resolution is optimized as 2.5 cm for achieving mesh independency with good qualitative agreement. Furthermore, simulations are conducted to investigate the impact of sidewall distances on façade flame spread. The results highlight that the enhancement of sidewall in façade flame spread occurs under external heat release rate, and the 0.2 m sidewall distance for the designated JIS test is identified as a critical threshold increasing façade thermal load.

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“…The Computational Fluid Dynamics (CFD) simulation was preferred to study the heat transfer from the introduced system, and it has been widely used by other previous researchers [22][23][24][25]. The CFD simulation generated the mesh to numerically calculate the heat transfer in the system.…”

Section: Mesh Generationmentioning

confidence: 99%

Numerical Modelling and Analysis of Externally Blown Heated Pipes Applicable for Furnace

Wakid

Yudianto

Widyianto

2022

ARFMTS

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The heat transfer system of the pipe for furnace application was newly introduced and need to be analyzed. The study aims to numerically model and investigate the externally blown heated pipe for furnace. The furnace itself is the heat source for briquette production inside the oven. The investigation includes the analysis of temperature, air flow velocity and also pressure inside the pipes. The investigation employed the Computational Fluid Dynamics methodology for numerically analysis the intended results. Three cases were introduced in this study, having differences in the air intake velocity which was set to 5 m/s (case 1), 3 m/s (case 2) and 1 m/s (case 3). The main objective is to have the highest outlet temperature to be blown in the heating chamber. Case 1 results in the lowest resulting temperature which only 77 , while case 3 yields in the highest output temperature more than 100 . In terms of velocity, it is clear that the highest velocity intake affects also in the increasing value of the velocity inside the pipe. Case 1 results in maximum of 35 m/s air velocity. The pressure distribution also results in the similar trend. The case 1 yields in the maximum pressure of 650 Pa and case 3 produce the pressure nearly zero. However, case 3 results in the highest temperature for furnace to be blown in the heating chamber of the oven system.

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Review of Convective Heat Transfer Modelling in CFD Simulations of Fire-Driven Flows

Cited by 16 publications

References 60 publications

Early Fire Detection: A New Indoor Laboratory Dataset and Data Distribution Analysis

Early Fire Detection: A New Indoor Laboratory Dataset and Data Distribution Analysis

Large eddy simulations fire modeling of JIS A 1310 façade calibration test with respect to sidewall

Numerical Modelling and Analysis of Externally Blown Heated Pipes Applicable for Furnace

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