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Influence of substituting CaO with SrO on the crystallization behavior of CaO-SiO2 based continuous casting mold fluxes

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Ceramics International 2025年第14期51卷 19449-19462页

作者： Yang, Kang Guan, Rui Zeng, Hong-bo Ai, Xin-gang Li, Sheng-li High-quality Special Steel Intelligent Manufacturing Professional Technology Innovation Center Liaoning Anshan114051 China The Key Laboratory of Material Forming and Structure Property Control Liaoning Anshan114051 China School of Materials and Metallurgy University of Science and Technology Liaoning Liaoning Anshan114051 China

The influence of replacing CaO with SrO on the crystallization behavior of CaO-SiO₂-based continuous casting mold fluxes was systematically examined by using the S/DHTT-TA-III high-temperature in situ thermal analyzer system. The replacement of CaO by SrO prolongs the crystal incubation time in the crystallization process of CaO-SiO₂-based mold fluxes, reduces the crystal growth rate during the crystallization process and plays an inhibitory role in the crystallization process of the mold fluxes. With increasing SrO content, the crystallization mechanism of the mold fluxes gradually changes from constant nucleation and three-dimensional growth to constant nucleation and one-dimensional growth, and the crystallization activation energy gradually increases. The replacement of CaO with SrO reduces the critical cooling rate of CaO-SiO₂-based mold fluxes. The critical cooling rates of the mold fluxes with different SrO contents are 14 °C s-1 (SrO = 0 wt%), 8 °C s-1 (SrO = 3 wt%), 5 °C s-1 (SrO = 6 wt%), and 3.5 °C s-1 (SrO = 9 wt%). With increasing SrO content, the crystallization time of the mold fluxes under gradient heat preservation gradually extends from 0 s to the following: 34 s (SrO = 3 wt%), 58 s (SrO = 6 wt%), and 104 s (SrO = 9 wt%). When the heat preservation time is 200 s, the proportions of the liquid phase fraction of the mold fluxes are 28.73 % (SrO = 0 wt%), 36.28 % (SrO = 3 wt%), 65.58 % (SrO = 6 wt%), and 80.33 % (SrO = 9 wt%), respectively. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Nucleation

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Research on Meshing Characteristics and Vibration of Aluminum Miner Based on MASTA 14th

Research on Meshing Characteristics and Vibration of Aluminu...

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14th International Workshop of Advanced Manufacturing and Automation, IWAMA 2024

作者： Dong, Guanzhan Xu, Weipeng Gao, Kuidong College of Mechanical and Electronic Engineering Shandong University of Science and Technology Qingdao266590 China State Key Laboratory of Intelligent Coal Mining and Strata Control Shanghai China

ISBN: (纸本)9789819626243

Aiming at the mechanical continuous operation of bauxite mining process, firstly, an improved scheme of cutting bauxite with an 8-pole motor shearer is proposed, which is practical and feasible, and a 3D model is established in Solid Edge. Secondly, considering the higher meshing frequency of high-speed gear in the cutting part, the meshing characteristics under different loads were investigated by MASTA software, and the laws of contact stress, meshing dislocation and trans-mission error were obtained. Finally, the vibration displacement of one axis is obtained in view of the significant influence of individual order energy on the vibration of the shell under rated working conditions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Bauxite deposits

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Learning-Based Predictive control of Switched Nonlinear Systems via Koopman Modeling Approach

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Journal of Systems science & Complexity 2025年第2期38卷 691-716页

作者： NING Zepeng FANG Xu LI Yibei XIE Lihua School of Electrical and Electronic Engineering Nanyang Technological University Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences

This paper proposes a data-driven learning-based approach to predictive control for switched nonlinear systems subject to state and control constraints and external stochastic disturbances. A switched Koopman modeling framework is developed, where a multi-mode neural network for state lifting is trained simultaneously with Koopman operators and state reconstruction matrices for all *** framework facilitates the construction of the switched linear Koopman model in a transformed space and effectively captures the dynamics of the original nonlinear system. A switched predictive control strategy is then designed to regulate the switched Koopman model with constrained states and control inputs against both the stochastic disturbances and the uncertainties introduced by the lifting neural network. The proposed control scheme ensures mean-square stability and guarantees boundedness during the online phase. Furthermore, boundedness analysis is performed to determine the bounded set of the original system state across all admissible switching sequences. The effectiveness of the proposed methodology is demonstrated through a case study of a gene regulatory network.

关键词： Data-driven machine learning model predictive control stochastic systems switched Koopman model switched nonlinear systems

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Dynamic Modeling of Integrated Wind-Wave Offshore Floating Platform with Parameter Uncertainty

Dynamic Modeling of Integrated Wind-Wave Offshore Floating ...

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International Conference on Applied Nonlinear Dynamics, Vibration and control, ICANDVC 2024

作者： Yuan, Bozhong Huang, Yingbo Na, Jing Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Kunming650500 China Yunnan Key Laboratory of Intelligent Control and Application Kunming University of Science and Technology Kunming650500 China

ISBN: (纸本)9789819633166

Advanced model-based control strategies can significantly improve energy conversion efficiency and equipment safety. However, current hybrid wind-wave energy system model can often accurately describe the system response but are complex in structure, and they are more suitable for performance analysis than controller design. In this paper, a dynamic model is proposed, which contains six degrees of freedom (DOFs), the surge, pitch and heave of the floating offshore wind turbine (FOWT), and one pitch for each of the three wave energy conversions (WECs). The model is derived from Newton’s second law so that it has the same physical significance as the real system, and an adaptive algorithm is used to estimate the unknown parameters in the model. The model is validated by AQWA/ANSYS and proved to accurately predict the motion response of the platform under different environmental conditions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Wave energy conversion

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Seeking Secure Synchronous Tracking of Networked Agent Systems Subject to Antagonistic Interactions and Denial-of-Service Attacks

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2025年第5期6卷 1309-1320页

作者： Li, Weihao Shi, Lei Shi, Mengji Yue, Jiangfeng Lin, Boxian Qin, Kaiyu University of Electronic Science and Technology of China School of Aeronautics and Astronautics Chengdu611731 China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu611731 China Henan University School of Artificial Intelligence Zhengzhou450046 China

Inspired by the group phenomenon of biological populations in nature, swarm intelligence has been derived and has further advanced the research of coordinated control of networked agent systems (NASs). With this in mind, this article delves into the problem of secure synchronous tracking control for high-order NASs subject to antagonistic interactions, particularly under the threat of denial-of-service (DoS) attacks. First, a novel distributed secure control scheme is crafted to address the complex dynamics of NASs that encompass both cooperative and antagonistic interactions among agents. This scheme is pivotal as it enables follower agents to synchronize their tracking with the leader agent, even amidst the disruptive influence of DoS attacks, transcending the conventional bipartite tracking consensus approach. Subsequently, a dynamic, time-varying closed-loop system is generated, which is intrinsically linked to the intermittent nature of DoS attacks, characterized by periods of dormancy and activity. Based on the infinite matrix product convergence analysis method, some essential algebraic conditions are formulated, which hinge on the parameters of DoS attacks, the underlying network structure, and the gain of the controller. These conditions are critical for guaranteeing the attainment of robust synchronous tracking. Finally, some numerical simulation examples are provided to verify the effectiveness of the proposed secure synchronous tracking control scheme for high-order NASs with signed networks. That is, all followers are able to achieve synchronous tracking of the leader when the corresponding topology, as well as control parameter conditions, are satisfied, and the opposite is not possible. © 2020 IEEE.

关键词： Swarm intelligence

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Flexible Strain Sensors with Ultra‑High Sensitivity and Wide Range Enabled by Crack‑Modulated Electrical Pathways

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Nano-Micro Letters 2025年第3期17卷 246-264页

作者： Yunzhao Bai Yunlei Zhou Xuanyu Wu Mengfei Yin Liting Yin Shiyuan Qu Fan Zhang Kan Li YongAn Huang State Key Laboratory of Intelligent Manufacturing Equipment and Technology Huazhong University of Science and TechnologyWuhan 430074People’s Republic of China Flexible Electronics Research Center Huazhong University of Science and TechnologyWuhan 430074People’s Republic of China Hangzhou Institute of Technology Xidian UniversityHangzhou 311200People’s Republic of China School of Mechano‑Electronic Engineering Xidian UniversityXi’an 710071People’s Republic of China Department of Aerospace and Mechanical Engineering University of Southern CaliforniaLos AngelesCA 90089USA

This study presents a breakthrough in flexible strain sensor technology with the development of an ultrahigh sensitivity and wide-range sensor,addressing the critical challenge of reconciling sensitivity with measurement *** by the structure of bamboo slips,we introduce a novel approach that utilises liquid metal to modulate the electrical pathways within a cracked platinum fabric *** resulting sensor demonstrates a gauge factor greater than 108 and a strain measurement capability exceeding 100%.The integration of patterned liquid metal enables customisable tuning of the sensor’s response,while the porous fabric structure ensures superior comfort and air permeability for the *** design not only optimises the sensor’s performance but also enhances the electrical stability that is essential for practical *** systematic investigation,we reveal the intrinsic mechanisms governing the sensor’s response,offering valuable insights for the design of wearable strain *** sensor’s exceptional performance across a spectrum of applications,from micro-strain to large-strain detection,highlights its potential for a wide range of real-world uses,demonstrating a significant advancement in the field of flexible electronics.

关键词： Flexible strain sensor Fabric Crack Response regulation Epidermal device

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Excellent sensitivity and selectivity of g-C4N3 monolayer based gas senors for efficiently detecting nitrogen oxides: Spin-resolved quantum transport behaviors

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IEEE Sensors Journal 2025年第11期25卷 20687-20694页

作者： Zhou, Wensheng Luo, Cheng Tang, Peng Xiao, Xianbo Xionga, Songbo Chen, Tong Jiangxi University of Science and Technology School of Energy and Mechanical Engineering Jiangxi Provincial Key Laboratory of Multidimensional Intelligent Perception and Control Nanchang330013 China Jiangxi University of Chinese Medicine School of Computer Science Nanchang330004 China

NO and NO2 are important gases that can lead to the formation of photochemical smog and acid rain. Therefore, it is important to develop high-performance nitrogen oxide sensors. Here, the electronic structure, spin transport characteristics, and gas sensitivity of two-dimensional graphitic carbon nitride (2D g-C4N3) monolayers with doped magnetic metal atoms were studied via first-principles methods. A g-C4N3 monolayer exhibited ferromagnetic half-metallic and high-sensitivity properties for NO and NO2 detection. The monolayer nanodevices also exhibited perfect single-spin conduction with a spin-filtering efficiency of up to 100%. A designed g-C4N3 monolayer sensor strongly chemisorbed both NO and NO2, resulting in the formation of electrons in the local scattering region. This directly affected spin transport properties, resulting in NO and NO2 sensitivity up to 100%. A g-C4N3 sensor with transition metal doping (especially Fe) slightly improved NO detection and significantly reduced NO2 detection. Hence, a Fe-doped g-C4N3 sensor in a complex gas environment containing both NO and NO2 largely eliminated NO2 interference and increased NO detection. A g-C4N3 monolayer with excellent half-metal properties and high gas sensitivity will have potential applications in high-performance spin devices and spin-gas sensitive devices. © 2001-2012 IEEE.

关键词： Nitrogen oxides

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Autonomous picking robot for elongated fruits and vegetables 3

Autonomous picking robot for elongated fruits and vegetables

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3rd International Conference on Electrical, Electronics, and Information Engineering, EEIE 2024

作者： Gao, Yang Shuai, Wei Cui, Guowei Wu, Peichen Gan, Lin Chen, Xiaoping Guangdong Institute of Intelligent Manufacturing Guangdong Key Laboratory of Modern Control Technology Guangzhou510070 China Foshan Industrial Technology Research Institute Guangdong Academy of Sciences China School of Computer Science and Technology University of Science and Technology of China Hefei230026 China

ISBN: (纸本)9781510688179

This paper presents the design and implementation of an autonomous picking robot specifically for harvesting elongated fruits such as loofahs and bitter melons. The robot utilizes a tracked chassis to navigate field terrains, equipped with IMU and GNSS modules for navigation and positioning. Mounted on the chassis is a 6-degree-of-freedom robotic arm designed for picking actions, with a combination of a flexible gripper and electric scissors at its end to enhance picking efficiency and safety. Two RGBD cameras are used for global and local perception, while the YOLO model is employed for fruit recognition and localization. Experimental results demonstrate that the robot can complete a full picking cycle in an average of 20 seconds and temporarily store the harvested fruits in an onboard storage bin. Overall, this picking robot significantly reduces labor costs and improves the efficiency and quality of field operations and fruit harvesting. © The Authors.

关键词： Grippers

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Research on Stability of Cutting System of Shield Driving Robot in Semi-coal Rock Roadway Under Complex Geological Conditions 2nd

Research on Stability of Cutting System of Shield Driving Ro...

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2nd International Conference on the Frontiers of Robotics and Software Engineering, FRSE 2024

作者： Xue, Limeng Wang, Chuanwei School of Mechanical Engineering Xi’an University of Science and Technology Xi’an710054 China Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Detection and Control Xi’an710054 China

ISBN: (纸本)9789819630127

Aiming at the problems of stability and efficiency of full-width cross-axis cutting in large section semi-coal rock roadway under complex geological conditions, a shield type intelligent driving robot system is developed, and a new shield type full-width cross-axis cutting system was proposed. The body structure model of the cutting system was constructed, and the mechanical model of the full-width transverse axis drum of the cutting system, the mechanical coupling model of "cutting robot - rectangular shield - top and bottom wall rock", and the force transfer mechanism in the cutting process of the drum were established. The stability condition of the cutting system is determined according to the relationship between the stability moment and the jumping moment of the cutting system, and the stability coefficient model of the cutting system when the shield and the roof are coupled is established. The Adams simulation model of the cutting system is established, and the cutting performance of the coal rock with hardness of f6 is simulated, and the stability coefficient is always greater than 1.1. The simulation and industrial test results show that the shield type full width transverse axis cutting system has characteristics of good stability, cutting efficiency and high forming quality. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： intelligent robots

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Swarm-Based Dynamic Coverage of Multi-ASV Systems in the Presence of Measurement Noises

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IEEE Transactions on Vehicular technology 2025年第5期74卷 7237-7250页

作者： Liu, Lu Jiao, Shijian Han, Bing Li, Tieshan Peng, Zhouhua Dalian Maritime University School of Marine Electrical Engineering Dalian116026 China Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships Dalian116026 China State Key Laboratory of Maritime Technology and Safety Dalian116026 China Shanghai Ship and Shipping Research Institute National Engineering Research Center of Ship & Shipping Control System Shanghai200135 China University of Electronic Science and Technology of China School of Automation Engineering Chengdu611731 China

This paper is concerned with the dynamic coverage of multiple autonomous surface vehicles (ASVs) in the presence of static and dynamic obstacles, limited communication distance, and measurement noises. A modular control method including planning, guidance, and control is proposed. At the planning level, a swarm-based dynamic coverage strategy is developed to achieve the coverage of a given domain. Both the collision avoidance and connectivity preservation issues are solved by using artificial potential fields. At the kinematic level, novel adaptive line-of-sight guidance laws are presented based on cascade extended state observers (CESOs), such that accurate guidance signals are given by compensating for time-varying sideslip angle and suppressing measurement noises. At the kinetic level, two CESOs are developed to estimate the internal model uncertainties and external environmental disturbance, and antidisturbance kinetic control laws are designed subsequently. The proposed CESOs overcome the noises sensitivity problem of classical observers, and thus facilitate the practical implementation under measurement noises. The input-to-state stability of the closed-loop system is confirmed by the Lyapunov theory and cascade stability theory. Simulation and hardware-in-the-loop experiment results are provided to demonstrate the effectiveness of the proposed swarm-based dynamic coverage method. © 1967-2012 IEEE.

关键词： Velocity measurement

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