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Dynamic Constitutive Model and Numerical Simulation of S32760 Duplex Stainless Steel Based on Dislocation Theory

Recent Patents on Mechanical engineering 2024年第2期17卷 105-115页

作者： Yang, Lin Zhang, Heqing Zheng, Minli Zhang, Xiangyuan Liu, Jialiang Liu, Yinfeng Gong, Fukang Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of Education Harbin University of Science and Technology Harbin150080 China Qiqihar Heavy CNC Equipment Co. Ltd. Qiqihar161005 China School of Mechanical and Electrical Engineering Qiqihar University Qiqihar161005 China

Background: To describe the complex mechanical behavior of S32760 duplex stainless steel under high strain rate and high-temperature loading conditions. Objective: The constitutive model of S32760 duplex stainless steel suitable for high strain rate was constructed from the micro-scale. Methods: Based on the theory of dislocation dynamics, the effects of different strain rates and strains on the plastic deformation of ferrite and austenite were analyzed, and the thermal stress term and non-thermal stress term of ferrite and austenite phases were coupled. Results: The simulation results of the model show that the S32760 dual-phase constitutive model has a high degree of fit with the experimental data at high strain rates. Conclusion: Compared with the classical J-C model, the results show that the constitutive model of this patent has more accurate predictability than the J-C model in describing the mechanical behavior of duplex stainless steel in the high strain range of 5000s-1 to 10000s-1. © 2024 Bentham Science Publishers.

关键词： Constitutive models

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Iterative Learning Control for Time-Varying Systems Based on Extreme Learning Machine 42

Iterative Learning Control for Time-Varying Systems Based on...

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42nd Chinese Control Conference, CCC 2023

作者： Huangfu, Ziwei Li, Wei Chen, Yiyang Wang, Lei Anhui Polytechnic University Key Laboratory of Advanced Perception and Intelligent Control for High-End Equipment Ministry of Education Wuhu241000 China School of Mechanical and Electrical Engineering Soochow University Suzhou215137 China School of Automation Wuxi University Wuxi214105 China

ISBN: (纸本)9789887581543

In the actual production and life process, there are a plenty of time-varying linear systems. In this paper, ILC is extended to linear time-varying systems, and the proposed ILC update law is adopted to update the time-varying model, and the convergence performance of the algorithm is proved. Simpson integral method has an advantage in calculating the variable parameters to solve time-varying systems. Combining the extreme learning machine(ELM) in machine learning with ILC, the regression technology is employed to train the model to update the time-varying model parameters over time. Finally, the feasibility of the proposed algorithm is demonstrated by simulation. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Machine learning

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Study on Multi-objective Scheduling Strategy for Electric Vehicle to Absorb Wind Power Considering Dynamic Time-of-Use Price 2nd

Study on Multi-objective Scheduling Strategy for Electric Ve...

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Conference Proceedings of 2022 2nd International Joint Conference on Energy, electrical and Power engineering

作者： Wu, Shuang Zhang, Chun Tong, Zejun Gao, Pengcheng Li, Haoyu College of Electrical Engineering Anhui Polytechnic University Anhui Wuhu241000 China Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Ministry of Education Anhui Polytechnic University Anhui Wuhu China

ISBN: (纸本)9789819943333

By right of the load transferability and energy storage characteristics of electric vehicles, the energy consumption period of users can be guided to change by dynamic time-of-use (DTOU) price, Further improvement of the charging and discharging power of EVs. Simultaneously, the load peak-valley deviation can be decreased by DTOU price, which increases the wind power consumption as well. Then the DTOU price model is established in this paper, with the proposed start-stop control strategy of electric vehicles. Regarding the minimum system cost and carbon emissions as the objective functions, a multi-objective optimal scheduling model is generated. By means of comparing the operation results of three scenarios, it is shown that the realization of coordinated scheduling, increase of wind power consumption, reduction of total operation cost and carbon emissions as well as enhancement of system operation economy can be completed by the proposed strategy. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Wind power

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Virtual Models for Operating on Mobile Devices 3

Virtual Models for Operating on Mobile Devices

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3rd International Conference on Mechatronics and Automation Technology, ICMAT 2024

作者： Wang, Xiaofei Xu, Jinyou Xue, Yahong Zhang, Runfeng Hao, Tianze Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology China

ISBN: (纸本)9781643685649

In recent years, the virtual reality technique has been widely used in many fields. One of the most popular applications is for generating virtual models that can be operated on the screen. In the paper, three methods of obtaining virtual models are introduced. One method is by scanning the quick response code. Another method is the use of CADbro software. The third way is to develop an app to help the digital world emerge in real-life scenarios. With the help of virtual technology, ways of teaching, modes of production, and film production are changing. The three methods mentioned in the paper make it easy to generate virtual models for people to operate on mobile devices. Virtual models generated by the three methods can be operated by touching the screen or operating the mouse, whenever and wherever. © 2024 The Authors.

关键词： Virtual environments

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Ship Identification Based on Improved SSD 6

Ship Identification Based on Improved SSD

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6th International Conference on Electronic Information Technology and Computer engineering, EITCE 2022

作者： Hu, Cheng Zhu, Zhilong Yu, Ze Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment Ministry of Education College of Electrical Engineering Anhui Polytechnic University Wuhu241000 China

ISBN: (纸本)9781450397148

Aiming at the low accuracy of ship recognition at sea and the fact that traditional target detection algorithms are greatly affected by the environment, this paper proposes a marine ship recognition method based on an improved SSD (Single shot multibox detector). On the basis of the original SSD algorithm, the original backbone network VGG16 was first replaced with resnet50, and the convolution in the last 5 layers of the Resnet50 Conv4_x structure was replaced by a hole convolution, followed by the removal of Conv5_x, followed by the subsequent prediction feature layer. A multiscale receptive field module was introduced to improve the feature extraction capabilities of the model. Finally, the high-level semantic information is enhanced by introducing a CBAM attention mechanism to improve the detection ability of the model. The experimental results show that the map of the algorithm is 94.5%, which is 17.7% higher than the original SSD algorithm, and the improved SSD algorithm has a better recognition effect of ships at sea. © 2022 Association for Computing Machinery.

关键词： Feature extraction

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Research on Practical Teaching System of intelligent Manufacturing engineering: A Case Study of Major Design 24

Research on Practical Teaching System of Intelligent Manufac...

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2024 International Conference on Artificial Intelligence and Future Education, AIFE 2024

作者： Yang, Lu Wu, Yining Li, Zeyu Zhang, Guobin Tian, He Tianjin Key Laboratory for Advanced Mechanical System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China

ISBN: (纸本)9798400710650

Based on the construction requirements of the "Emerging engineering"major in intelligent manufacturing engineering and the characteristics of interdisciplinary integration, the cultivation of high-quality interdisciplinary talents has been established as the primary objective. By coordinating multiple on-campus and off-campus resources and fostering cohesion within the entire discipline supervisor team, the "academic supervisor system"training mode has been established, and the continuous training mechanism for "undergraduate and master's"programs has been effectively developed. Additionally, school-enterprise collaborations have been implemented, and practical bases have been successfully established. With the support of the entire discipline supervisor team and the closed-loop integrated laboratory, the practical teaching system characterized by cross-integration and systematic progression has been developed at our university. By creating a step-by-step, planned, and systematic practical course system, the issues of standardization, randomization, and fragmentation within practical courses have been effectively resolved. Through the integration of project-based courses and school-enterprise co-constructed courses, students' innovative abilities are further enhanced. It then describes the design and implementation methods of major design, and analyzes its practical effects. It holds significant reference and demonstrative value for the construction of practical courses, laboratories, and the talent cultivation model of the "Emerging engineering"major. © 2024 Copyright held by the owner/author(s).

关键词： Smart manufacturing

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Brain-inspired artificial intelligence research: A review

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Science China(Technological Sciences) 2024年第8期67卷 2282-2296页

作者： WANG GuoYin BAO HuaNan LIU Qun ZHOU TianGang WU Si HUANG TieJun YU ZhaoFei LU CeWu GONG YiHong ZHANG ZhaoXiang HE Sheng Chongqing Key Laboratory of Computational Intelligence Chongqing University of Posts and TelecommunicationsChongqing 400065China Key Laboratory of Cyberspace Big Data Intelligent Security Chongqing University of Posts and TelecommunicationsChongqing 400065China College of Computer and Information Science Chongqing Normal UniversityChongqing 401331China State Key Laboratory of Brain and Cognitive Science Institute of BiophysicsChinese Academy of SciencesBeijing 100101China School of Psychological and Cognitive Sciences Peking UniversityBeijing 100871China State Key Laboratory of Multimedia Information Processing School of Computer SciencePeking UniversityBeijing 100871China Department of Computer Science School of ElectronicsInformation and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China Faculty of Electronic and Information Engineering Xi’an Jiaotong UniversityXi’an 710049China The Center for Research on Intelligent Perception and Computing Institute of AutomationChinese Academy of SciencesBeijing 100190China Institute of Biophysics Chinese Academy of SciencesBeijing 100101China

Artificial intelligence(AI) systems surpass certain human intelligence abilities in a statistical sense as a whole, but are not yet the true realization of these human intelligence abilities and behaviors. There are differences, and even contradictions, between the cognition and behavior of AI systems and humans. With the goal of achieving general AI, this study contains a review of the role of cognitive science in inspiring the development of the three mainstream academic branches of AI based on the three-layer framework proposed by David Marr, and the limitations of the current development of AI are explored and analyzed. The differences and inconsistencies between the cognition mechanisms of the human brain and the computation mechanisms of AI systems are analyzed. They are found to be the cause of the differences and contradictions between the cognition and behavior of AI systems and humans. Additionally, eight important research directions and their scientific issues that need to focus on braininspired AI research are proposed: highly imitated bionic information processing, a large-scale deep learning model that balances structure and function, multi-granularity joint problem solving bidirectionally driven by data and knowledge, AI models that simulate specific brain structures, a collaborative processing mechanism with the physical separation of perceptual processing and interpretive analysis, embodied intelligence that integrates the brain cognitive mechanism and AI computation mechanisms,intelligence simulation from individual intelligence to group intelligence(social intelligence), and AI-assisted brain cognitive intelligence.

关键词： artificial intelligence cognitive science brain science intelligence science large language model

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Indoor Fingerprint Location Algorithm Based On Global Locally Preserving Projection

Indoor Fingerprint Location Algorithm Based On Global Locall...

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2023 China Automation Congress, CAC 2023

作者： Pan, Mengxing Wu, Chunlin Gao, Wengen Li, Yunfei Jiang, Ling Mu, Shaopeng School of Electrical Engineering Anhui Polytechnic University Wuhu241000 China Zhejiang Guomai Technology Co. Ltd Wenzhou325000 China Chinese Ministry of Education Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment Wuhu241000 China

ISBN: (纸本)9798350303759

In indoor fingerprint positioning, the received signal strength indicator (RSSI) is easily affected by interference and noise. Obstacles and signal reflections can cause temporal and peak variations in signal strength, resulting in possible dispersion of the closest reference point (RP) set and consequently affecting the accuracy of positioning. To address this issue, a novel approach called global locally preserving projection (GLPP) method has been proposed. This method effectively reduces the overall noise of RSSI fingerprints and improves the reliability and adaptability of fingerprints by using GLPP to train both offline fingerprint database and online fingerprints. During the online phase, the enhanced weighted k-nearest neighbor (EWKNN) algorithm is employed to estimate the target position. Through experimental validation, our method has demonstrated higher accuracy and stability compared to other approaches. © 2023 IEEE.

关键词： Nearest neighbor search

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Retinal Vessel Segmentation Network Based on Improved U-Net

Retinal Vessel Segmentation Network Based on Improved U-Net

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2022 Chinese Automation Congress, CAC 2022

作者： Zhang, Chen Gao, Wengen Chen, Liang Li, Pengfei Anhui Polytechnic University High-End Equipment Advanced Perception and Intelligent Control Ministry of Education Heavy Laboratory School of Electrical Engineering WuHu241000 China

ISBN: (纸本)9781665465335

To solve the difficult segmentation problem in the division of retinal vascular due to blurred vessel contours and complex vessel peripheral details. In this article propose a double residence network DRANet. It contains an attention structure. DRANet is an improvement to the U-Net network. In case of gradient inflation and gradient vanishing due to network deepening, a double residual module is inserted in the encode and decode stages. The Double Residual Spatial Attention Structure (DRSA) is added at the bottom of the networks to capture more signatures. At the same time, DropBlock is introduced to alleviate the overfitting of the network. Besides, a channel attention block has been added to the skip link to suppress the expression of unnecessary features and produce higher accuracy. Achieved better segmentation results on the communal retinal blood vessel data sets DRIVE and CHASE_DB1. © 2022 IEEE.

关键词： Digital storage

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具有三明治结构的MXene/聚酰亚胺复合泡沫用于多尺度微波吸收

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Science China Materials 2024年第1期67卷 272-278页

作者：张亚君韩美康胡荣祥张培根潘龙孙正明 Key Laboratory of Advanced Metallic Materials of Jiangsu Province School of Materials Science and EngineeringSoutheast UniversityNanjing 211189China Institute of Optoelectronics and Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception Fudan UniversityShanghai 200433China

三维多孔结构可促进电磁波在材料内部的多重反射,是提升微波吸收性能的有效方法.然而,传统的三维多孔结构中,多重反射仅发生在孔内.扩大多重反射的范围应能进一步提升材料的吸收性能.因此,本文开发了一种孔壁为三明治结构的三维多孔复... 详细信息

三维多孔结构可促进电磁波在材料内部的多重反射,是提升微波吸收性能的有效方法.然而,传统的三维多孔结构中,多重反射仅发生在孔内.扩大多重反射的范围应能进一步提升材料的吸收性能.因此,本文开发了一种孔壁为三明治结构的三维多孔复合泡沫,在亚毫米尺度孔和亚微米尺度孔壁中同时发生多重反射,实现多尺度微波吸收.本研究采用聚多巴胺修饰的聚酰亚胺泡沫(PDA@PIF)作为三维多孔骨架,在其孔壁表面负载Ti_(3)C_(2)T_(x).所得的Ti_(3)C_(2)T_(x)@PDA@PIF能够在整个X波段吸收超过90%的入射波.这得益于多尺度多重反射、电导损耗和界面极化.同时,该复合泡沫具有优异的柔性和低密度(~30 mg cm^(-3)).该工作为实现轻质、柔性、宽频的吸波材料提供了一种可行的方法,丰富了电磁防护的有效结构.

关键词：三明治结构聚酰亚胺泡沫多重反射微米尺度微波吸收复合泡沫电磁防护吸收性能

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