4.6 Article

The interaction between fuel inclination and horizontal wind: Experimental study using thin wire

期刊

PROCEEDINGS OF THE COMBUSTION INSTITUTE
卷 37, 期 3, 页码 3809-3816

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.proci.2018.05.131

关键词

Flame spread; Cylindrical fuel; Critical inclination; Blow off

资金

  1. NSFC [51636008]
  2. NSFC-STINT joint project (USTC-Lund University)
  3. Key Research Program of Frontier CAS [QYZDB-SSW-JSC029]
  4. Fundamental Research Funds for the Central Universities [WK2320000035, WK2320000038]
  5. China Scholarship Council (CSC)

向作者/读者索取更多资源

Forward flame spread behavior changes significantly with both the fuel inclination and the wind velocity, but interactions between the inclination and horizontal wind is still not well understood. In this work, a controlled laboratory experiment is conducted in a wind tunnel providing a horizontal wind ranged from 0 (quiescent) to 2.5 m/s, and a thin electrical wire as fuel that can be inclined from a horizontal (0 degrees) to a vertical (90 degrees). An electrical wire of 0.8-mm diameter with copper core and polyethylene insulation was used as the characteristic thin fuel. The flame-spread rate, as well as the flame geometrical characteristics, was quantified as a function of the wind velocity and wire inclination. Results show that as the horizontal wind velocity is increased, the flame-spread rate over the wire for all inclination angles first increased to a maximum, and then, slightly decreased until blow-off. The critical inclination for flame acceleration decreases from 45 degrees to 15 degrees as the wind velocity increases. The fastest flame spread along the inclined wire occurs when the wind pushes the flame parallel to the fuel. The interaction between the fuel inclination and wind velocity are quantified using the Froude number. Moreover, the blown-off wind velocity decreases as the fuel inclination is increased, which can be explained by a critical strain rate (536 s(-1)). This work provides valuable information for fire behaviors under wind not only on the inclined wires and roofs in structure fires, but also on inclined branches in wildland fires. (C) 2018 The Combustion Institute Published by Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Thermodynamics

Studying the Synergistic Roles of Nanostructures on the Rapid Boiling Process Using Molecular Dynamics Simulation

Shakeel Ahmad, Chung Ki Cheng, Kwun Ting Lau, Shahid Ali Khan, Xinyan Huang, Jiyun Zhao

Summary: This work investigates the rapid boiling heat transfer over an integrated surface with cavities and pillars at nanoscale using molecular dynamics simulations. The results show that the integrated surface has a lower bubble nucleation time, higher evaporation rate, and higher heat flux compared to other surfaces.

HEAT TRANSFER ENGINEERING (2023)

Article Thermodynamics

Predicting real-time fire heat release rate by flame images and deep learning

Zilong Wang, Tianhang Zhang, Xinyan Huang

Summary: This work explores real-time prediction of fire heat release rate using fire scene images and deep learning algorithms. A large database of fire tests is formed to train the deep learning model. The results show that the proposed AI-image fire calorimetry method can well identify the transient fire heat release rate using only fire scene images.

PROCEEDINGS OF THE COMBUSTION INSTITUTE (2023)

Article Engineering, Multidisciplinary

Flame Spread Transition to Regression of Thick Fuel in Oxygen-Limited Concurrent Flow

Feng Zhu, Xinyan Huang, Xiao Chen, Shuangfeng Wang

Summary: The behaviors of flame in a narrow gap with low-velocity airflow were studied. It was found that the flame spread can transition to fuel regression and extinction as the airflow and oxygen concentration decrease. This research provides new insights into flame behavior under oxygen-limited and microgravity environments.

FIRE TECHNOLOGY (2023)

Editorial Material Engineering, Multidisciplinary

Special Issue on Facade Flammability and Fire Engineering

Xinyan Huang, Yi Wang, Eric Guillaume

FIRE TECHNOLOGY (2023)

Article Computer Science, Artificial Intelligence

Multi-domain ubiquitous digital twin model for information management of complex infrastructure systems

Yishuo Jiang, Ming Li, Wei Wu, Xiqiang Wu, Xiaoning Zhang, Xinyan Huang, Ray Y. Zhong, George G. Q. Huang

Summary: A digital twin is a digital version of an object or activity that reflects its properties and behavior through virtual models and data. It is widely used in the construction, operation, and maintenance of infrastructure and facilities. Stakeholders from different disciplines are involved in the long-term management of IoT and digital twin-enabled smart infrastructures and conflicts can arise due to differences in experience, knowledge, and interests. This paper proposes a Ubiquitous Digital Twin model based on Domain-Driven Design to manage complex infrastructure systems and evaluates it through three instantiated scenarios.

ADVANCED ENGINEERING INFORMATICS (2023)

Article Thermodynamics

Electric field inspired alternating surface wettability for enhancing pool boiling heat transfer performance: A lattice Boltzmann method study

Shakeel Ahmad, Zulfiqar Ali, Syed Waqar Ali Shah, Xinyan Huang, Jiyun Zhao

Summary: This study used alternating wettability inspired by an electric field to enhance boiling heat transfer performance over a rough surface. The simulation results showed that alternating wettability can accelerate bubble expansion and shrinking, leading to a 53% increase in critical heat flux at high wall superheats.

INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER (2023)

Article Thermodynamics

Can heavy rainfall affect the burning and smoke spreading characteristics of fire in tunnels?

Chuangang Fan, Dia Luan, Rongwei Bu, Ziqiong Sheng, Feiyue Wang, Xinyan Huang

Summary: Extreme rainfall events due to global warming have been investigated for their impact on tunnel fires and smoke spread. Reduced-scale experiments with varying rainfall intensities, raindrop sizes, and fire heat release rates were conducted. It was found that heavy rainfall induced a longitudinal airflow inside the tunnel, causing the flame to tilt towards the no-rainfall portal. This induced airflow had a limited effect on the burning rate of pool fires, but it affected the ceiling temperature and prevented smoke back-layering towards the rainfall portal. The distribution of ceiling temperature towards the no-rainfall portal was not sensitive to rainfall and could be described by an empirical model.

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2023)

Article Engineering, Environmental

Real-time pipeline leak detection and localization using an attention-based LSTM approach

Xinqi Zhang, Jihao Shi, Ming Yang, Xinyan Huang, Asif Sohail Usmani, Guoming Chen, Jianmin Fu, Jiawei Huang, Junjie Li

Summary: This study proposes a leakage detection and localization approach by integrating attention mechanism with LSTM network. A labor-scale pipeline leakage experiment is conducted to construct the benchmark dataset and a comparison between the proposed approach and the state-of-the-art methods is performed. The results demonstrate higher accuracy with AUC = 0.99.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2023)

Article Thermodynamics

Single-phase static immersion cooling for cylindrical lithium-ion battery module

Yanhui Liu, Gulzhan Aldan, Xinyan Huang, Menglong Hao

Summary: This work proposes a static flow-based immersion cooling method for a six-cell cylindrical Li-ion battery module, which can limit the temperature below 40 degrees C and exhibit superior cooling capability over air cooling. A three-dimensional numerical model is established to analyze and optimize the cooling system's performance, suggesting a higher cooling rate compared to forced air-cooling. The effects of ambient temperature and liquid volume have also been investigated.

APPLIED THERMAL ENGINEERING (2023)

Article Computer Science, Artificial Intelligence

Towards deep probabilistic graph neural network for natural gas leak detection and localization without labeled anomaly data

Xinqi Zhang, Jihao Shi, Xinyan Huang, Fu Xiao, Ming Yang, Jiawei Huang, Xiaokang Yin, Asif Sohail Usmani, Guoming Chen

Summary: This study proposes a deep probabilistic graph neural network that models the spatial dependency of sensors to improve leakage detection. The results demonstrate that the model achieves competitive detection accuracy and provides more comprehensive leakage detection information. Additionally, the model's posterior distribution enhances leakage localization accuracy.

EXPERT SYSTEMS WITH APPLICATIONS (2023)

Article Engineering, Civil

Modelling carbon monoxide transport and hazard from smouldering for building fire safety design analysis

Wai Kit Cheung, Yanfu Zeng, Shaorun Lin, Xinyan Huang

Summary: This study investigates the transport and hazards of carbon monoxide (CO) from smouldering fire for building performance-based design practices. The results show that the smouldering fire scenarios and their CO hazards should be considered in the design of building fire safety. The simulations also reveal that smouldering fires can be more dangerous with lower atrium height and that ceiling ventilation is effective in extracting CO emissions.

FIRE SAFETY JOURNAL (2023)

Article Engineering, Civil

Automatic real-time fire distance, size and power measurement driven by stereo camera and deep learning

Zilong Wang, Yifei Ding, Tianhang Zhang, Xinyan Huang

Summary: This study proposes a novel computer vision method to automatically measure the real-time fire heat release rate accurately, even when the camera is moving. A portable binocular stereo camera captures the real-time fire video stream, which is then fed into a pre-trained computer-vision model to detect the fire region. The distance between the camera and the fire source is determined by identifying the fire location, enabling the deep learning model to output the transient fire power in real time.

FIRE SAFETY JOURNAL (2023)

Article Chemistry, Physical

Encapsulated carbon nanotube array as a thermal interface material compatible with standard electronics packaging

Ruixiang Bai, Yangbing Wei, Jiyuan Xu, Xiaobo Li, Menglin Li, Ziwen Zou, Xinyan Huang, Chengyu Liu, Yiwei Sun, Menglong Hao

Summary: A new thermal interface material (TIM) is developed by encapsulating vertically aligned carbon nanotubes arrays (VACNTs) with copper microfoils, providing a solution to VACNTs' problem in device integration and contact resistance. The new TIM demonstrates excellent thermal performance and reliability in light emitting diode (LED) cooling experiment.

NANO RESEARCH (2023)

Article Thermodynamics

Ignition limit of EPS foam by a hot particle under cross wind

Supan Wang, Chunyin Zhang, Kaifeng Wang, Xinyan Huang

Summary: This study investigates the influence of external airflow on the ignition flash and fire points of building insulation materials. The results show that airflow can facilitate the attainment of flash and fire points, with a stable delay time at higher airflow velocities. Flame retardants can inhibit the transition to fire point but do not affect the flash ignition.

CASE STUDIES IN THERMAL ENGINEERING (2023)

Article Thermodynamics

A transient multi-path decentralized resistance-capacity network model for prismatic lithium-ion batteries based on genetic algorithm optimization

C. X. He, Y. H. Liu, X. Y. Huang, S. B. Wan, Q. Chen, J. Sun, T. S. Zhao

Summary: A decentralized centroid multi-path RC network model is constructed to improve the temperature prediction accuracy compared to traditional RC models. By incorporating multiple heat flow paths and decentralizing thermal capacity, a more accurate prediction is achieved.

ENERGY CONVERSION AND MANAGEMENT (2024)

暂无数据