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Article
Publication date: 31 July 2023

Chong Xu, Pengbo Wang, Fan Yang, Shaohua Wang, Junping Cao and Xin Wang

This paper aims at building a discharge model for the power cable bellows based on plasma energy deposition and analyzing the discharge ablation problem.

Abstract

Purpose

This paper aims at building a discharge model for the power cable bellows based on plasma energy deposition and analyzing the discharge ablation problem.

Design/methodology/approach

Aiming at the multiphysical mechanism of the discharge ablation process, a multiphysical field model based on plasma energy deposition is established to analyze the discharge characteristics of the power cable bellows. The electrostatic field, plasma characteristics, energy deposition and temperature field are analyzed. The discharge experiment is also carried out for result validation.

Findings

The physical mechanism of the bellows ablative effect caused by partial discharge is studied. The results show that the electric field intensity between the aluminum sheath and the buffer layer easily exceeds the pressure resistance value of air breakdown. On the plasma surface of the buffer layer, the electron density is about 4 × 1,019/m3, and the average temperature of electrons is about 3.5 eV. The energy deposition analysis using the Monte Carlo method shows that the electron range in the plasma is very short. The release will complete within 10 nm, and it only takes 0.1 s to increase the maximum temperature of the buffer layer to more than 1,000 K, thus causing various thermal effects.

Originality/value

Its physical process involves the distortion of electric field, formation of plasma, energy deposition of electrons, and abrupt change of temperature field.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering , vol. 42 no. 6
Type: Research Article
ISSN: 0332-1649

Keywords

Article
Publication date: 19 May 2023

Xi Wang, Fu Yang, Songbo Liu and Wen Feng

Based on social information processing theory, this paper aims to explore how and when leader self-deprecating humor may spark subordinate learning from failure. The authors cast…

Abstract

Purpose

Based on social information processing theory, this paper aims to explore how and when leader self-deprecating humor may spark subordinate learning from failure. The authors cast perspective taking as a novel explanatory mechanism for this indirect effect, and further consider leader–member exchange as a boundary condition of the relationship.

Design/methodology/approach

The authors tested the hypotheses by conducting a multiwave and multisource survey of 604 members from 152 teams in a Chinese high-technology company.

Findings

Results of multilevel path analyses demonstrate that leader self-deprecating humor positively influences subordinate learning from failure via perspective taking. Further, this mediation effect is stronger at higher levels of leader–member exchange.

Research limitations/implications

This study contributes to the theoretical understanding of the relationship between leader self-deprecating humor and subordinate learning from failure. However, the research design was not longitudinal or experimental, and thus the authors were unable to make strong inferences about absolute causality.

Practical implications

The work yields useful insights for practitioners aiming to encourage subordinates to learn from failure.

Originality/value

This study provides evidence that leader self-deprecating humor can stimulate subordinate learning from failure via perspective taking, and the indirect effect is further strengthened by leader–member exchange. The findings offer new directions for research on leader self-deprecating humor and learning from failure.

Details

Journal of Knowledge Management, vol. 28 no. 1
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 21 September 2023

Olumide O. Olaoye and Mulatu F. Zerihun

The study investigates the effectiveness of government policies to mitigate the impact of a pandemic. The study adopts the small open economy of Nigeria for the following reasons…

Abstract

Purpose

The study investigates the effectiveness of government policies to mitigate the impact of a pandemic. The study adopts the small open economy of Nigeria for the following reasons. First, Nigeria is the largest economy in SSA. Second, Nigeria was also significantly impacted by the COVID-19 pandemic.

Design/methodology/approach

The study employed the time-varying structural autoregressive (TVSVAR) model to control for the potential asymmetry in fiscal variables and to control for the shift in the structural shift, following a macroeconomic shock. As a form of robustness, the study also implements the time-varying Granger causality to formally assess the temporal instability of the variable of interest.

Findings

The results show that an oil price shock is an important source of macroeconomic instability in Nigeria. Importantly, the results indicate that the effects of fiscal policy are strongly time varying. Specifically, the results show that fiscal policy helps to stabilize the economy, (i.e. they help to reduce inflation and spur output growth) following macroeconomic shock. Further, the Granger test shows that fiscal policy helped to spur growth in Nigeria. The research and policy implications are discussed.

Originality/value

The study accounts for the time-varying effects of fiscal policy.

Details

African Journal of Economic and Management Studies, vol. 15 no. 1
Type: Research Article
ISSN: 2040-0705

Keywords

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