Analysis of overload induced arc formation and beads characteristics in a residential electrical cable

Li, Yang; Sun, Yinghao; Gao, Yang; Sun, Jun; Lyu, Hui-Fei; Chen, Yu; Yang, Simon X.; Wang, Yong

doi:10.1016/j.firesaf.2022.103626

Cited by 26 publications

(4 citation statements)

References 19 publications

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“…Then analysisi and summarize the characteristics of the microstructures [6][7][8][9][10][11] .In addition to, short-circuit failures and overcurrent failures can also produce melted masks. Li Yang et al [12] studied the process and mechanism of overcurrent heating of copper conductors, which induced insulation breakdown. Zhang Jinbao et al [13][14][15] pointed out , for AA8030 aluminum alloy overcurrent failures, the wire showed arc fusion and fracture masks under macroscopic, and the melting and non-arc action area melted masks showed morphological characteristics of the honeycomb and acicular under microscopic.…”

Section: Introductionmentioning

confidence: 99%

Study on the evolution law and microstructures of melted marks of H59 brass conductor under overcurrent failure

Yan,

Zhang,

Cao

et al. 2024

Fifth International Conference on Optoelectronic Science and Materials (ICOSM 2023)

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The overcurrent failure experiment device was used to prepare the overcurrent specimens of H59 brass conductor with thicknesses of 0.5mm and 0.8mm under 80A-100A and 100A-120A respectively. The evolution law of the temperature and microstructures of the specimens were studied.The results showed that: with the increase of overcurrent intensity, the heating rate of H59-0.5 and H59-0.8 were higher and showed a linear growth.Their critical current intensities for melting fracture were 100A and 110A respectively. At the critical current intensity (80A, 120A), the microstructures of them both were as-cast microstructure (plate-like α-phase dominant + small amount of isometric α-phase) and the α-phase showed orientation in the certain range and transcrystalline fracture at the fracture.Below the critical current intensity (100A, 110A), the metallographic structures of H59-0.8 were isometric α-phase with annealing twins and isolated β-phase. The average grain size was basically constant with the increase of the current intensity.At 90A, H59-0.5 was observed no obvious melted signs at macroscopic level but discovered localized melting marks which formated typical widmanstatten structure under a high-powered optical microscope.

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Section: Introductionmentioning

confidence: 99%

Study on the evolution law and microstructures of melted marks of H59 brass conductor under overcurrent failure

Yan,

Zhang,

Cao

et al. 2024

Fifth International Conference on Optoelectronic Science and Materials (ICOSM 2023)

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“…When the wire diameter in an electrical circuit is insufficient or the overcurrent protection device fails, the current passing through the wire surpasses its safe limit, which is referred to as an overload fault in the Guide for Fire and Explosion Investigations (NFPA 921-2021) [2]. Exceeding the safe current limit for a prolonged period of time causes the Joule heat generated by the metal core of the wire to damage the internal structure of the polymer insulation via thermal conduction, thereby altering fire hazard [3,4]. Cross-linked polyethylene (XLPE)-insulated copper wires with good electrical and mechanical properties are widely used in nuclear power plants, hospitals, schools, and residential buildings.…”

Section: Introductionmentioning

confidence: 99%

Effects of Overload on Thermal Decomposition Kinetics of Cross-Linked Polyethylene Copper Wires

Jia,

Man,

Guo

et al. 2023

Polymers

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During an overload fault in an energized wire, the hot metal core modifies the structure of the insulation material. Therefore, understanding the thermal decomposition kinetics of the insulation materials of the overloaded wire is essential for fire prevention and control. This study investigates the thermal decomposition process of new and overloaded cross-linked polyethylene (XLPE) copper wires using thermogravimetry–Fourier-transform infrared spectroscopy and cone calorimetry. The thermal decomposition onset temperature and activation energy of the overloaded XLPE insulation materials were reduced by approximately 15 K and 20 kJ mol−1, respectively, and its reaction mechanism function changed from D-ZLT3 to A2 (0 < α < 0.5). The FTIR shows that the major spectral components produced during the pyrolysis of the XLPE insulation material are C-H stretching, H2O, CO2, C-H scissor vibrations, and C=O and C=C stretching. Additionally, the four functional groups in the PE chains produced the spectral components in the following decreasing order of wavenumber: C–H stretching > CO2 > C–H scissor vibration > C=O and C=C stretching.

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“…Risk analysis and assessment serve as the foundational pillars for the implementation of effective risk control and safety management. In the context of cable fire risk analysis, scholars have centered their focus on comprehending the underlying mechanisms responsible for cable fire incidents [9][10][11][12][13]. The combustion characteristics of wires and cables are intricately linked to the combustion attributes of their constituent materials and structural compositions, which are further influenced by operational conditions and environmental factors [11].…”

Section: Introductionmentioning

confidence: 99%

A Novel Risk Assessment for Cable Fires Based on a Hybrid Cloud-Model-Enabled Dynamic Bayesian Network Method

Gao,

Huang,

Xiang

et al. 2023

Applied Sciences

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The fire risk of cables constantly changes over time and is affected by the materials and working conditions of cables. To address its internal timing property, it is essential to use a dynamic analysis method to assess cable fire risk. Meanwhile, data uncertainty resulting in the deviation of risk values must also be considered in the risk assessment. In this regard, this study proposes a hybrid cloud model (CM)-enabled Dynamic Bayesian network (DBN) method to estimate the cable fire risk under uncertainty. In particular, the CM is initially applied to determine the membership degrees of the assessment data relative to different states of the root nodes; then, these degrees are considered the prior probabilities of DBN, where the dynamic risk profiles are reasoned. Subsequently, the Birnbaum and Fussell–Vesely importance measures are constructed to identify the key nodes for risk prevention and control, respectively. Moreover, a case study of the Chongqing Tobacco Logistics Distribution Center is conducted, the computational results of which indicate the proposed method’s decision-making effectiveness. Finally, a comparison of the reasoning results between the proposed and traditional methods is performed, presenting strong evidence that demonstrates the reliability of the proposed method.

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Analysis of overload induced arc formation and beads characteristics in a residential electrical cable

Cited by 26 publications

References 19 publications

Study on the evolution law and microstructures of melted marks of H59 brass conductor under overcurrent failure

Study on the evolution law and microstructures of melted marks of H59 brass conductor under overcurrent failure

Effects of Overload on Thermal Decomposition Kinetics of Cross-Linked Polyethylene Copper Wires

A Novel Risk Assessment for Cable Fires Based on a Hybrid Cloud-Model-Enabled Dynamic Bayesian Network Method

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