Improving the accuracy of time-harmonic FE simulations in induction heating applications

Author(s):  
Kevin McMeekin ◽  
Frédéric Sirois ◽  
Maxime Tousignant ◽  
Philippe Bocher

Purpose Surface heat treatment by induction heating (10-100 kHz) requires precise prediction and control of the depth of the induced phase transformation. This paper aims at identifying common issues with the measurement and modeling of magnetic properties used in induction heating simulations, and it proposes ways to improve the situation. Design/methodology/approach In particular, it is demonstrated how intrinsic magnetic properties (i.e. the B-H curve) of a sample can change during the magnetic characterization process itself, due to involuntary annealing of the sample. Then, for a B-H curve that is supposed perfectly known, a comparison is performed between multiple models, each one representing the magnetic properties of steel in time-harmonic (TH) finite element method simulations. Finally, a new model called “power-equivalent model” is proposed. This model provides the best possible accuracy for a known nonlinear and hysteretic B-H curve used in TH simulations. Findings By carefully following the guidelines identified in this paper, reduction of errors in the range of 5-10 per cent can be achieved, both at the experimental and modeling levels. The new “power-equivalent model” proposed is also expected to be more generic than existing models. Originality/value This paper highlights common pitfalls in the measurement and modeling of magnetic properties, and suggests ways to improve the situation.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shuli Yan ◽  
Xiangyan Zeng ◽  
Pingping Xiong ◽  
Na Zhang

PurposeIn recent years, online public opinion reversal incidents have been occurring frequently, which has increased the complexity of the evolution of online public opinion, and they have become a difficult issue for public opinion management and control. It is of great significance to explore the regularity of online public opinion reversal.Design/methodology/approachCombined with the grey characteristics of online public opinion information, a grey graphical evaluation review technique (G-GERT) network model is constructed based on kernel and grey degree, and the frequency, probability and time of online public opinion reversal nodes are calculated using C-marking method and Z-marking method.FindingsThroughout the online public opinion reversal events, there are all repeated outbreak nodes occurring, so the authors regard the repeated occurrence of outbreak nodes as reversal. According to the average frequency, probability and time of repeated outbreak nodes in the G-GERT network model, the authors predict the corresponding key information of reversal. It can simulate the evolution process of public opinion events accurately.Originality/valueThe G-GERT network model based on kernel and grey degree reveals the regulation of public opinion reversal, predicts the frequency, probability and time of reversal nodes, which are the most concerned and difficult issues for decision-makers. The model provides the decision basis and reference for government decision-making departments.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ka Ki Lawrence Ho ◽  
Ying-Tung Chan

Purpose This study aims to examine Hong Kong’s responses to COVID-19, arguing that Hong Kong’s relatively low infection rate is due to self-discipline of citizens together with the enforcement measures introduced by the government. Design/methodology/approach This study reviewed the government policy announcements and the prevailing scholarly analyses on Hong Kong society during COVID-19. Findings It starts by examining the partial lockdown and control measures since mid-January, and the roles of different government units in enforcement were examined and assessed. Suppression of viral outbreak in Hong Kong should primarily be attributed to the appropriate lockdown and quarantine actions of the government. Originality/value However, outperformance of the frontline professionals and the highly aware, self-disciplined and mutually aided citizens in the community are also the key to the “interim success” by June 2020 in the highly accessible and densely populated city.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yuejiang Li ◽  
Hong Zhao

Purpose The purpose of this paper is to review the recent studies on opinion polarization and disagreement. Design/methodology/approach In this work, recent advances in opinion polarization and disagreement and pay attention to how they are evaluated and controlled are reviewed. Findings In literature, three metrics: polarization, disagreement and polarization-disagreement index are usually adopted and there is a tradeoff between polarization and disagreement. Different strategies have been proposed in literature which can significantly control opinion polarization and disagreement based on these metrics. Originality/value This review is of crucial importance to summarize works on opinion polarization and disagreement and to the better understanding and control of them.


2018 ◽  
Vol 25 (6) ◽  
pp. 410-421 ◽  
Author(s):  
Kenneth Mølbjerg Jørgensen

Purpose The purpose of the paper is to provide a framework for reflecting on how different ways of configuring spaces in higher education (HE) condition the possibilities of learning. Second, the purpose is to construct a storytelling approach for the configuration of such spaces. Design/methodology/approach The paper’s conceptual purpose is achieved through a theoretical discussion of three concepts: performance, politics and storytelling. Findings Learning in HE needs reconsideration in terms of what kinds of learning are made possible through the discursive and material configuration of the spaces of research and teaching. In particular, the focus to some extent should move away from the management and control of learning toward what enables learning. Practical implications The literature on organizational learning and the learning organization comprise concepts, methods and tools that play different roles with regard to controlling, shaping and enabling learning. When the focus is on learning in HE, it is important to be aware of the tracks of learning these technologies enable. Social implications The interest in managing and controlling learning is often problematic in relation to the potential of HE to produce new and innovative forms of learning. Originality/value This paper introduces the term “spaces of performance,” which directs attention toward the material, discursive and relational conditions for learning. It also introduces a space of storytelling as a new principle for learning in HE.


2019 ◽  
Vol 8 (2) ◽  
pp. 97-114
Author(s):  
Sheshadri Chatterjee

Purpose The purpose of this paper is to identify the factors influencing the citizens to use robots that would improve the quality of life of the citizens. Design/methodology/approach With the help of different adoption theories and models and with the support of background studies, some hypotheses have been formulated and a conceptual model has been developed with the consideration of the impact of artificial intelligence regulation (IAR) that controls the use of robots as a moderator. The model has been validated and the hypotheses have been tested by statistical analysis with the help of survey works involving consideration of feedbacks from 503 usable respondents. Findings The study reveals that the use of robots by the citizens would appreciably increase if government imposes strict artificial intelligence (AI) regulatory control concerning the use of robots, and in that case, it appears that the use of robots would improve the quality of life of the citizens. Research limitations/implications The duly validated model would help the authority to appropriately nurse and nurture the factors such as ethical dilemma, perceived risks and control beliefs for enhancing the intention of the citizens to use robots for many purposes including domestic usage in the context of appropriate restrictions imposed through AI regulation. Such use of robots would eventually improve the quality of life. Originality/value There are a few studies covering analysis of IAR as a moderator on the linkages of the predictors with the intention of the citizens to use robots. In this context, this study is claimed to have offered a novel contribution.


2019 ◽  
Vol 4 (2) ◽  
pp. 280-292
Author(s):  
Kholilah ◽  
Vega Wafaretta ◽  
Dian Syariati

Purpose Entrepreneurship-based learning (EBL) is one of the student-center learningmethods that can answer learning challenges in the era of industrial revolution 4.0. EBL is expected to improve students’ competencies and make students more adaptable to the changes in the world of work in the future. The paper aims to discuss this issue. Design/methodology/approach This study uses quasi-experiments and divides classes into project class and control class. The project consists of making business proposals, conducting business, liquidating the partnership, and recording business transaction using the Xero platform. The Wilcoxon Signed Ranks Test, Mann–Whitney Test and independent t-test were carried out to test whether there are differences of cognitive abilities and entrepreneurial (general, social and functional) competencies between the project class and control class. Findings The results of the study shows there are differences of understanding of partnership accounting and the achievement of social and functional entrepreneurial competencies between the project class and control class. Research limitations/implications This study implies in using EBL to improve entrepreneurial skills for students beyond cognitive abilities. Originality/value The novelty of this research is the implementation of EBL in partnership accounting topics.


2019 ◽  
Vol 12 (3) ◽  
pp. 327-341
Author(s):  
Bipin Kumar Dixit

Purpose The purpose of this paper is to examine the operating performance of Indian using difference-in-difference (DD) methodology. It, further, examines whether there is a difference in the operating performance of acquirers doing partial and full acquisitions. Design/methodology/approach Four different benchmark criteria are used to select control firms, namely, size, size and industry, size and leverage, and size and book-to-market ratio. To measure the operating performance, return on assets (ROA) is calculated as the ratio between earnings before depreciation, interest, tax and amortization (EBDITA) and total assets (TA), expressed in percentage. This paper examines the ROA of event and control firms for three years in each pre- and post-acquisition period and finally compares them using the DD method. Findings Using a sample of Indian acquirers, the results show that the operating performance of Indian acquirers neither improves nor deteriorates after accounting for an appropriate benchmark. Operating performance of event firms significantly reduces in the post-acquisition period. However, non-acquiring firms of similar size and pre-operating performance also exhibit similar results. Finally results show that, the operating performance of acquirers making full acquisitions deteriorates. Originality/value It provides insights into the operating performance of Indian acquirers with an improved methodology, which accounts for the performance of control firms. The author also uses multiple matching criteria to find control firms to overcome the possible bias of the results dependent on the matching criteria. To the best of the author’s knowledge, the author could not find other studies comparing the operating performance of acquirers making partial and full acquisitions.


2018 ◽  
Vol 26 (1) ◽  
pp. 153-170 ◽  
Author(s):  
Emily M. Coyne ◽  
Joshua G. Coyne ◽  
Kenton B. Walker

Purpose Big Data has become increasingly important to multiple facets of the accounting profession, but accountants have little understanding of the steps necessary to convert Big Data into useful information. This limited understanding creates a gap between what accountants can do and what accountants should do to assist in Big Data information governance. The study aims to bridge this gap in two ways. Design/methodology/approach First, the study introduces a model of the Big Data life cycle to explain the process of converting Big Data into information. Knowledge of this life cycle is a first step toward enabling accountants to engage in Big Data information governance. Second, it highlights informational and control risks inherent to this life cycle, and identifies information governance activities and agents that can minimize these risks. Findings Because accountants have a strong ability to identify the informational and control needs of internal and external decision-makers, they should play a significant role in Big Data information governance. Originality/value This model of the Big Data life cycle and information governance provides a first attempt to formalize knowledge that accountants need in a new field of the accounting profession.


2020 ◽  
Vol 4 (3) ◽  
pp. 273-282
Author(s):  
Zhong Wang ◽  
Hongbo Sun ◽  
Baode Fan

Purpose The era of crowd network is coming and the research of its steady-state is of great importance. This paper aims to establish a crowd network simulation platform and maintaining the relative stability of multi-source dissemination systems. Design/methodology/approach With this simulation platform, this paper studies the characteristics of “emergence,” monitors the state of the system and according to the fixed point judges the system of steady-state conditions, then uses three control conditions and control methods to control the system status to acquire general rules for maintain the stability of multi-source information dissemination systems. Findings This paper establishes a novel steady-state maintenance simulation framework. It will be useful for achieving controllability to the evolution of information dissemination and simulating the effectiveness of control conditions for multi-source information dissemination systems. Originality/value This paper will help researchers to solve problems of public opinion control in multi-source information dissemination in crowd network.


2020 ◽  
Vol 32 (5) ◽  
pp. 929-937 ◽  
Author(s):  
Shaolong Wu ◽  
Muhua Lin

PurposeThe purpose of this study is to analyze the scope and magnitude of Chinese budgetary responses to the coronavirus disease 2019 (COVID-19) pandemic.Design/methodology/approachThis study analyzes budgetary response in China by means of public reports, news reports and policy documents.FindingsThe Chinese responses were comprehensive, flexible and fast. Through the normal authorization process, simplifying procedures of budget allocation and special legislative approval after the surge of COVID-19 cases, China used many budgetary measures to help suffering businesses and households to buffer the economic difficulties caused by the pandemic. It also increased public health spending very quickly so subnational governments could control and prevent the pandemic with the necessary resources. International relief efforts have also been increased. These findings show the unique strength of the Chinese political system, which is very flexible and quick in resource mobilization.Originality/valueThis study offers a quick review of the Chinese budgetary responses to the COVID-19 pandemic. It also highlights some of the future concerns and needs of the Chinese government in domestic and global health areas.


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