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1 – 4 of 4Guochao Zheng, Fuli Wang, Baiping Yan and Runting Cheng
The purpose of this study is to suppress the temperature rise of high voltage wall bushing metal plate.
Abstract
Purpose
The purpose of this study is to suppress the temperature rise of high voltage wall bushing metal plate.
Design/methodology/approach
First, the authors built a model of a traditional metal plate and got the magnetic field intensity distribution by FEA tools. Optimized according to the magnetic field intensity distribution, the authors slot the traditional metal plate and embed permanent magnets in the slot. Finally, the authors got the temperature distribution diagrams of the above three cases at different current levels by FEA tools.
Findings
Slotted metal plate is beneficial to suppress magnetic induction intensity, but the improvement of the magnetic induction intensity uniformity is not obvious. The method of embedding a permanent magnet in a slotted metal plate can optimize the magnitude and uniformity of the magnetic induction intensity in the metal plate. The larger the current passing through the metal plate, the better the temperature suppression effect of the slotted metal plate and the slotted metal plate embedded in the permanent magnet.
Originality/value
The effect of structural factors, slotting plate and setting permanent magnets on slots on the temperature of supporting plate is studied. The paper proposes two methods, slotting metal panels and embedding permanent magnet metal panels, to solve the problems of eddy current loss and high calorific value of the panel, which is of great significance to the safety of the grid equipment.
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Guochao Zhao, Xiaofen Yu, Juanfeng Zhang, Wenxia Li and Peiyi Wu
Improvement of the environment quality and human development has become the main focus of modern urban development. Micro-renewal is a relatively people-oriented model of urban…
Abstract
Purpose
Improvement of the environment quality and human development has become the main focus of modern urban development. Micro-renewal is a relatively people-oriented model of urban transformation compared with traditional renewal modes. To improve the theoretical system of neighborhood micro-renewal from a microcosmic perspective, a comprehensive analysis of neighborhood residents' cognition is needed. The purpose of the study is to explore the possibilities and methods of applying gene theory into the study of neighborhood micro-renewal.
Design/methodology/approach
According to the meme theory, the research explores the genetic analysis of neighborhood micro-renewal. The cross-over studies with “gene theory” from natural science to social science are analyzed and the neighborhood micro-renewal system was constructed from the perspective of micro-participants and micro-objects. Moreover, the concept of neighborhood “micro-renewal gene” was put forward. Finally, the authors show three application scenarios of public participation with a specific neighborhood micro-renewal project.
Findings
The cross research on urban studies with gene theory could be divided into three scales and four research fields. The characteristics of carrying out neighborhood micro-renewal in China could be summarized as micro-participants and micro-objects. Residents' cognition could be considered as “micro-renewal gene” in refer to meme theory. The application scenarios of introducing “micro-renewal gene” into the study of neighborhood renewal are of great potentialities.
Originality/value
Neighborhood micro-renewal system was constructed from the perspective of micro-participants and micro-objects. Moreover, neighborhood “micro-renewal gene” was proposed and applied into the study of this system in refer to meme theory.
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Wenting Chen, Caihua Liu, Fei Xing, Guochao Peng and Xi Yang
The benefits of artificial intelligence (AI) related technologies for manufacturing firms are well recognized, however, there is a lack of industrial AI (I-AI) maturity models to…
Abstract
Purpose
The benefits of artificial intelligence (AI) related technologies for manufacturing firms are well recognized, however, there is a lack of industrial AI (I-AI) maturity models to enable companies to understand where they are and plan where they should go. The purpose of this study is to propose a comprehensive maturity model in order to help manufacturing firms assess their performance in the I-AI journey, shed lights on future improvement, and eventually realize their smart manufacturing visions.
Design/methodology/approach
This study is based on (1) a systematic review of literature on assessing I-AI-related technologies to identify relevant measured indicators in the maturity model, and (2) semi-structured interviews with domain experts to determine maturity levels of the established model.
Findings
The I-AI maturity model developed in this study includes two main dimensions, namely “Industry” and “Artificial Intelligence”, together with 12 first-level indicators and 35 second-level indicators under these dimensions. The maturity levels are divided into five types: planning level, specification level, integration level, optimization level, and leading level.
Originality/value
The maturity model integrates indicators that can be used to assess AI-related technologies and extend the existing maturity models of smart manufacturing by adding specific technical and nontechnical capabilities of these technologies applied in the industrial context. The integration of the industry and artificial intelligence dimensions with the maturity levels shows a road map to improve the capability of applying AI-related technologies throughout the product lifecycle for achieving smart manufacturing.
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Huanshu Jiang, Jiaoju Ge and Jie Yao
Using Generation Z consumers from China as an example and focusing on the nostalgia-driven design of brand spokes-character, this study sought to update research on the causal…
Abstract
Purpose
Using Generation Z consumers from China as an example and focusing on the nostalgia-driven design of brand spokes-character, this study sought to update research on the causal relationship between nostalgia and brand attitude for younger consumers. Two types of nostalgic brand spokes-characters (i.e., eliciting personal nostalgia and historical nostalgia) were examined separately and compared to verify their contributions to more positive brand attitude, as well as related mechanisms, that is, whether consumer trust in the spokes-character mediated the relationship between nostalgic spokes-characters and brand attitude.
Design/methodology/approach
An experiment was first conducted to test the causal effects of brand spokes-characters designed to elicit two types of nostalgic feelings (i.e., personal nostalgia and historical nostalgia). Then, the authors investigated the influencing mechanism of nostalgic brand spokes-characters based on bootstrap mediation models.
Findings
The results revealed that for less familiar brand spokes-characters, either type of nostalgia-driven design would enhance consumers' brand attitude. Moreover, consumer trust in the spokes-character mediated the relationship between personal-nostalgic brand spokes-characters and brand attitude.
Originality/value
This study was the first to examine personal nostalgia and historical nostalgia separately regarding the effects of nostalgic spokes-characters and related mechanisms. By combining methods of experimental design and bootstrap mediation modeling, it provided a more robust evaluation of nostalgia-driven design, and supported using certain nostalgic styles for designing brand spokes-characters, which can help modern brands draw more interest from young consumers and promote more positive brand attitude.
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