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Du, Yunlu (author), Huang, Yunkai (author), Guo, Baocheng (author), Djelloul-Khedda, Zakarya (author), Peng, Fei (author), Yao, Y. (author), Dong, J. (author)
In this article, a nonlinear semianalytical model (SAM) is presented to predict the magnetic field distribution (MFD) and electromagnetic performances (EPs) in the cubic spoke-type permanent magnet (PM) machine. To model the rectangular PMs, the rectangular PM is simplified as a combination of fan-shaped regions with different arc angles....
journal article 2024
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Long, Jianjun (author), Wei, Xuejiao (author), Dong, Yiting (author), Cheng, Xixi (author), Li, Hao (author), Xu, X. (author), Zhu, Minhao (author)
A systematic experimental investigation concerning the fretting-induced tribo-chemical state and its effect on the fretting wear behavior of titanium alloys under the vacuum atmospheres (4 × 10<sup>–3</sup> Pa and 4 × 10<sup>–1</sup> Pa) in different fretting regimes is reported. An in situ XPS analysis tester was developed to capture the...
journal article 2024
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Ji, Y. (author), Fu, Xiaoqian (author), Ding, Feng (author), Xu, Yongtao (author), He, Yang (author), Ao, Min (author), Xiao, Fulai (author), Chen, Dihao (author), Dey, P. (author), Qin, Wentao (author), Xiao, Kui (author), Ren, Jingli (author), Kong, Decheng (author), Li, Xiaogang (author), Dong, Chaofang (author)
Efficiently designing lightweight alloys with combined high corrosion resistance and mechanical properties remains an enduring topic in materials engineering. Due to the inadequate accuracy of conventional stress-strain machine learning (ML) models caused by corrosion factors, a novel reinforcement self-learning ML algorithm combined with...
journal article 2024
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Li, Meng (author), Li, Chao (author), Wu, Guanyin (author), An, Xizhong (author), Zhang, Hao (author), Fu, Haitao (author), Yang, Xiaohong (author), Zou, Qingchuan (author), Wu, Yongli (author), Dong, Kejun (author)
An in-depth exploration of the reaction kinetics and thermo-chemical behaviors of the raceway can offer practical insights for optimizing the operations of blast furnace (BF), thus achieving a more effective iron and steel production process. In this study, the dynamic characteristics and the flow, heat and mass transfer behaviors in the BF...
journal article 2024
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Lai, Li (author), Dong, You (author), Andriotis, C. (author), Wang, Aijun (author), Lei, Xiaoming (author)
Effective transportation network management systems should consider safety and sustainability objectives. Existing research on large-scale transportation network management often employs the assumption that bridges can be considered individually under these objectives. However, this simplification misses accurate system-level representations,...
journal article 2024
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Dong, Y. (author), Lu, Xingmin (author), Li, Ruohan (author), Song, Wei (author), van Arem, B. (author), Farah, H. (author)
The burgeoning navigation services using digital maps provide great convenience to drivers. However, there are sometimes anomalies in the lane rendering map images, which might mislead human drivers and result in unsafe driving. To accurately and effectively detect the anomalies, this paper transforms lane rendering image anomaly detection into...
poster 2024
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Zhu, H. (author), Liu, E. (author), You, Fangzhou (author), de Bont, Cees (author), Gruber, Thorsten (author), Dong, Hua (author), Melles, M. (author)
Economic studies have shown that living in poverty may produce a subjective feeling of scarcity, which affects people's cognitive functions and decision-making. Understanding this mechanism could inform healthcare designers on designing inclusive health interventions by considering the psychological scarcity and limited cognitive resources of...
book chapter 2024
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Yu, G. (author), Yadav, S. (author), Dong, J. (author), Bauer, P. (author)
Triangular current mode (TCM) zero-voltage switching (ZVS) modulation method is widely adopted in power electronic converters to achieve acceptable efficiency in high switching frequency operations. For bidirectional dc-dc converters, in order to realize ZVS turn-on, a reverse inductor current can be utilized for this purpose through variable...
journal article 2024
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Cirimele, Vincenzo (author), Dong, J. (author), Mohamed, A.M.M.I. (author), Meng, Jinhao (author)
contribution to periodical 2024
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Cai, Hanbo (author), Zhang, Pengcheng (author), Dong, Hai (author), Xiao, Yan (author), Koffas, S. (author), Li, Yiming (author)
Deep neural networks (DNNs) have been widely and successfully adopted and deployed in various applications of speech recognition. Recently, a few works revealed that these models are vulnerable to backdoor attacks, where the adversaries can implant malicious prediction behaviors into victim models by poisoning their training process. In this...
journal article 2024
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Dong, J. (author)
Advancements in technology and societal demands have led to increasing complexity, size, and automation in modern industrial systems. This trend makes these systems more safety-critical, as the occurrence of faults in system components or subsystems may cause the entire system to fail, resulting in significant economic losses and casualties....
doctoral thesis 2023
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Dong, J. (author)
The treatment of largy bone defect remains challenging in clinics. All the clinically available bone grafts have their own limitations and are not ideal for the treatment. Therefore, developing a new generation of suitable bone substitutes is urgently needed. In the recent years, porous magnesium (Mg) has been extensively studied for orthopedic...
doctoral thesis 2023
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Dong, Y. (author), Chen, Kejia (author), Ma, Zhiyuan (author)
Condition-based maintenance is becoming increasingly important in hydraulic systems. However, anomaly detection for these systems remains challenging, especially since that anomalous data is scarce and labeling such data is tedious and even dangerous. Therefore, it is advisable to make use of unsupervised or semi-supervised methods, especially...
conference paper 2023
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Du, Yunlu (author), Huang, Yunkai (author), Guo, Baocheng (author), Zhu, Zichong (author), Peng, Fei (author), Dong, J. (author)
In this article, an efficient multi-objective optimization strategy for the Halbach array permanent magnet synchronous machine (PMSM) is developed by taking into consideration the nonlinear B-H behavior of soft magnetic materials. Based on the harmonic modeling (HM) technology, the electromagnetic performances (EPs) of the Halbach array PMSM...
journal article 2023
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Yang, Fan (author), Zhang, P. (author), Wang, Yuan (author), Wei, Kai (author), Dong, Liwei (author), Wang, Ping (author)
The coupled vehicle-track system (CVTS) dynamics have been extensively investigated for decades. However, the calculation accuracy of prevailing vehicle-track coupling models needs to be improved in the high frequency range due to the inappropriate model simplification and neglect of material nonlinearity. In this study, we propose a refined...
journal article 2023
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Chen, Gang (author), Dong, Wei (author), Peng, Peng (author), Alonso-Mora, J. (author), Zhu, Xiangyang (author)
Particle-based dynamic occupancy maps were proposed in recent years to model the obstacles in dynamic environments. Current particle-based maps describe the occupancy status in discrete grid form and suffer from the grid size problem, wherein a large grid size is unfavorable for motion planning while a small grid size lowers efficiency and...
journal article 2023
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Klop, Casper L. (author), Dong, J. (author), Olsen, Pål Keim (author)
The ModHVDC concept is a modular permanent magnet generator which uses insulated stator segments with dedicated power electronic converters to produce HVDC. This could significantly reduce the number of required power conversion steps for HVDC-connected offshore wind parks. However, the concept poses structural challenges to the machine design,...
conference paper 2023
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Zhang, Li (author), Dong, Y. (author), Farah, H. (author), van Arem, B. (author)
The gradual deployment of automated vehicles (AVs) results in mixed traffic where AVs will interact with human-driven vehicles (HDVs). Thus, social-aware motion planning and control while considering interactions with HDVs on the road is critical for AVs' deployment and safe driving under various maneuvers. Previous research mostly focuses on...
conference paper 2023
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Xue, Chaozhong (author), Dong, Y. (author), Liu, Jiaqi (author), Liao, Yijun (author), Li, Lingbo (author)
Medical waste recycling and treatment has gradually drawn concerns from the whole society, as the amount of medical waste generated is increasing dramatically, especially during the pandemic of COVID-19. To tackle the emerging challenges, this study designs a reverse logistics system architecture with three modules, i.e., medical waste...
conference paper 2023
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Yu, G. (author), Dong, J. (author), Soeiro, Thiago B. (author), Bauer, P. (author)
This paper introduces variable-frequency zero voltage switching (ZVS) modulation strategy for the four-switch buck+boost converter with one operating pattern for the inductor current, i.e., three-segment inductor current modulation control. The proposed modulation scheme guarantees a smooth transition from step-up to step-down or from step-down...
conference paper 2023
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