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SSRN 2023年

作者： Fan, Guanghui Zhang, Jingjie Zhang, Guoqing Xu, Chonghai Yi, Mingdong Faculty of Mechanical Engineering Qilu University of Technology Shandong Academy of Sciences Jinan250353 China Key Laboratory of Equipments Manufacturing and Intelligent Measurement and Control China National Light Industry Qilu University of Technology Shandong Academy of Sciences Jinan250353 China

Ti-6Al-4V alloy as a typical difficult-to-machine material is prone to problems such as large cutting forces, high cutting temperatures and serious tool wear during the cutting process. Ti1-xAlxN coated tools are widely used in machining Ti-6Al-4V alloys. The main forms of tool wear are coating cracking and delamination. After the coating has been delaminated, the tool substrate is in direct contact with the workpiece material, thereby aggravating the tool wear and shortening the tool life. Therefore, using Finite element method (FEM) to perform the milling process of Ti1-xAlxN coated tools cutting Ti-6Al-4V alloy. The effects of Al contents (Ti0.48Al0.52N, Ti0.38Al0.62N), coating thickness (2, 3, 4μm) and tool substrate (Cemented Carbide Grade K, M, P) of Ti1-xAlxN coated tools on the cutting performance (cutting force, cutting temperature, maximum principal stress, the temperature and stress of coating-substrate interface) and tool wear are discussed. The effects of the maximum principal stress, temperature, and stress of the coating-substrate interface on tool wear are analyzed. In this paper, it can provide a reference for the design and optimization of Ti1-xAlxN coated tools by investigating the wear of Ti1-xAlxN coated tools cutting titanium alloys, which can be used to slow tool wear and prolong tool life. © 2023, The Authors. All rights reserved.

关键词： Finite element method

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Retired Lithium-ion Batteries Screening Based on Partial Discharge Curves and an Improved Crossformer

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IEEE Transactions on Transportation Electrification 2025年

作者： Lin, Mingqiang Xu, Zijun Zheng, Gengfeng Meng, Jinhao Wang, Wei Wu, Ji Fujian Key Laboratory of Special Intelligent Equipment Safety Measurement and Control Fuzhou350003 China Chinese Academy of Sciences Quanzhou Institute of Equipment Manufacturing Fujian Institute of Research on the Structure of Matter Fujian Jinjiang362200 China Fujian Special Equipment Inspection and Research Institute Fuzhou350008 China Fujian Key Laboratory of Special Intelligent Equipment Safety Measurement and Control China Xi’an Jiaotong University School of Electrical Engineering Xi’an710049 China Xi’an Jiaotong University School of Management Xi’an710049 China Hefei University of Technology School of Automotive and Transportation Engineering Anhui Hefei230009 China

With the increasing number of retired lithium-ion batteries from electric vehicles, effective screening and classification are necessary to enable their secondary utilization. The existing retired lithium-ion battery screening methods have limitations in accuracy and high energy consumption. This paper proposes a method based on local discharge curves and an improved Crossformer model to reduce energy consumption and improve screening accuracy. Considering the actual conditions of retired lithium-ion batteries, features are extracted from the discharging stage. Select the segments of the capacity sequence that exhibit the most significant variation with the voltage sequence and construct a partial capacity-voltage sequence. The standard deviation and Shannon entropy of the capacity sequence, as well as the variance, energy, and the maximum amplitude of the low-frequency part of the Fourier-transformed voltage sequence, are used as features. Then, the Crossformer utilizes a flexible embedding mechanism and a hierarchical structure for handling the dependencies of the feature. The Crossformer is improved for classification by adding a cross-attention layer at the final stage of the Crossformer decoder, which enhances its ability to capture the dependencies between features and improves the model’s performance in battery screening classification. Finally, the validation of 252 retired batteries shows that the method achieves a classification accuracy of 94.74%, outperforming other advanced models, including the original Crossformer, Transformer, ResNet, and MLP models. © 2015 IEEE.

关键词： Lithium-ion batteries

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Anomalous spatial shifts in interface electronic reflection beyond the linear approximation

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Physical Review B 2023年第7期108卷 075149-075149页

作者： Runze Li Chaoxi Cui Xinxing Zhou Zhi-Ming Yu Centre for Quantum Physics Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE) School of Physics Beijing Institute of Technology Beijing 100081 China Beijing Key Lab of Nanophotonics & Ultrafine Optoelectronic Systems School of Physics Beijing Institute of Technology Beijing 100081 China Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Synergetic Innovation Center for Quantum Effects and Applications School of Physics and Electronics Hunan Normal University Changsha 410081 China

Recently, the electronic analogy of the anomalous spatial shift, including Goos-Hänchen and Imbert-Fedorov effects, has been attracting widespread interest. Current research on the anomalous spatial shift in interface electronic reflection is based on the paradigm of linear approximation, under which the center position of the incident and reflected beams are obtained by expanding the phases of relevant basis states and scattering amplitudes to the first order of incident momentum. However, in a class of normal cases, the linear approximation leads to divergent spatial shifts in reflection for certain incident angles, even though the corresponding reflection possibility is finite. In this paper, we show that these nonphysical results are caused by an abrupt change in the number of the propagating states at critical parameters, and can be resolved by calculating the center positions of the scattering beams beyond the linear approximation. Moreover, we find that the beam width has an important influence on the spatial shift near the critical angles. We demonstrate our idea via concrete calculations of Goos-Hänchen and Imbert-Fedorov shift on two representative models. These results provide a deeper understanding of the anomalous spatial shift in calculations.

关键词： Andreev reflection Electronic structure Unconventional superconductors Weyl semimetal

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Numerical Study on the Energy Consumption Characteristics of a Novel Integrated Pump-Motor Unit for Swro Desalination System

SSRN

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SSRN 2022年

作者： Yin, Fanglong Kong, Xiangle Ma, Zhonghai Nie, Songlin Ji, Hui Yan, Xiaopeng Research Center of Novel Hydraulic Transmission and Control Faculty of Materials and Manufacturing Beijing University of Technology Beijing100124 China Beijing Key Laboratory of Advanced Manufacturing Technology Beijing University of Technology Beijing100124 China

Energy recovery device (ERD) is a critical component in seawater reverse osmosis (SWRO) desalination systems, which recovers hydraulic energy from the high-pressure brine and effectively reduces system energy consumption. In this thesis, a novel integrated seawater desalination pump-motor energy recovery device (ISPM-ERD) without the slipper/swashplate interface is proposed to further reduce energy consumption and improve system integration, which is able of concomitantly achieving seawater pressurization and energy recovery. A co-simulation multibody dynamic model with rigid-flexible coupling is applied to precisely examine the internal power loss of ISPM-ERD, especially volumetric loss and mechanical loss of the key lubricating interface. Besides, the influence of shaft rotational speed and working pressure on the power loss and overall efficiency of ISPM-ERD are comparatively investigated. In addition, a performance study of the presented ISPM-ERD is carried out based on the co-simulation model, which reveals the energy recovery efficiency and specific energy consumption (SEC) of the ISPM-ERD under various operating conditions. The results indicate that the proposed ISPM-ERD is sufficient to meet the needs of the small-scale SWRO systems , whose energy recovery efficiency is 92.50% and the SEC of freshwater production is 3.11 kW·h/m 3 under rated working conditions . © 2022, The Authors. All rights reserved.

关键词： Energy utilization

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Federated-TD3:Joint Computing Offloading and Resource Allocation in Urban Air Mobility

Federated-TD3:Joint Computing Offloading and Resource Alloca...

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IEEE International Conference on Communications in China Workshops (ICCC)

作者： Zhonghao Luo Chunyu Pan Sihua Wang Linyan Guo The Key Laboratory of Information and Communication Systems Ministry of Information Industry and the Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China The Beijing Laboratory of Advanced Information Network Beijing University of Posts and Telecommunications Beijing China The Department of Electronics and Communication Engineering Hong Kong University of Science and Technology Hong Kong China School of Geophysics and Information Technology China University of Geosciences Beijing Beijing China

ISBN: (数字)9798350377675

ISBN: (纸本)9798350377682

With rapid urban population growth and urban-ization, along with increasing demand for developing the low- altitude economy, urban air mobility (UAM) is seen as a way to alleviate ground traffic congestion and promote the low-altitude economy. Due to frequent data computation, low latency require-ments, and limited energy, effective computation offloading and resource management are urgently needed. This paper assumes UAM aircraft transmit semantic information and proposes a computation offloading and resource allocation strategy based on edge computing (EC). In case of edge server failure, relay UAV s assist in information transmission, enabling UAM aircraft to offload tasks to other edge servers. We formulated an op-timization problem to minimize delay and energy consumption and designed the Federated- Td3algorithm, combining federated learning (FL) and twin delayed deep deterministic policy gradient (TD3). Compared to two baseline algorithms, our algorithm reduced delay by 9.9% and 3.3%, and energy consumption by 14.1 % and 4.5%.

关键词： Energy consumption Semantics Delays Resource management Servers Aircraft Relays Traffic congestion Edge computing Testing

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Ti2AlC triggered in-situ ultrafine TiC/Inconel 718 composites:Microstructure and enhanced properties

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Journal of Materials Science & technology 2020年第16期47卷 70-78页

作者： Wenqiang Hu Zhenying Huang Qun Yu Yuanbo Wang Yidan Jiao Cong Lei Leping Cai Hongxiang Zhai Yang Zhou Institute of Materials Science and Engineering School of Mechanical and Electronic Control EngineeringBeijing Jiaotong UniversityBeijing100044China Key Laboratory of Vehicle Advanced Manufacturing Measuring and Control Technology(Beijing Jiaotong University)Ministry of EducationBeijing100044China

In situ ultrafine TiC dispersion reinforced Inconel 718 alloy with enhanced mechanical properties was fabricated by the technique of reactive hot-press sintering Ti2AlC and In718 *** effect of Ti2AlC precursor additions(5 vol.%,10 vol.%,15 vol.%)on microstructure and mechanical properties of TiC/In718 composites were investigated.A relationship of microstructural characteristics,room and elevated temperature mechanical performance,and underlying strengthening mechanisms were *** results show that initial Ti2AlC precursor transformed completely into ultrafine TiC particulate(~230 nm)and distributed uniformly in the matrix after sintering 5 and 10 vol.%Ti2AlC/***,TiC particulates tended to aggregate to stripes with the addition of Ti2AlC up to 15 vol.%,which,in adverse,weaken the properties of *** 5 vol.%Ti2AlC/In718 sample showed a higher tensile strength of 1404±13 MPa with a noticeable elongation of 9.8%at room temperature compared to the pure In718(ultimate tensile strength(UTS)=1310 MPa,elongation=21.5%).At 600℃,700℃,800℃and 900℃,tensile strength of the as-sintered 5 vol.%Ti2AlC/In718 composite was determined to be 1333±13 MPa,1010±10 MPa,685±25 MPa and 276±3 MPa,increased by 9.2%,14.6%,14.2%and 55%,respectively,compared with that of monolithic In718 *** excellent tensile properties of TiC/In718 composite can be ascribed to the combined mechanisms in term of increased dislocation density,dispersive Orowan and load transfer mechanisms.

关键词： Inconel 718 TiC reinforcement Ti2AlC High temperature properties Tensile strength

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Design and Modeling of CMUTs with T-shape Cavities for Low Working Voltage, High Ultrasound Transmission and Reception

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IEEE Sensors Journal 2025年

作者： Li, Zhikang Qin, Shaohui Yuan, Jiawei Li, Jie Zhao, Yihe Tan, Hongqiang Li, Zixuan Yuan, Zheng Luo, Ruiyan Qin, Hefeng Li, Min Zhao, Libo Xi’an Jiaotong University (Yantai) Research Institute for Intelligent Sensing Technology and System School of Instrument Science and Technology State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies China Xi’an Jiaotong University School of Mechanical Engineering Xi’an 710049 China Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai 265503 China Shaanxi University of Science and Technology School of Mechanical and Electrical Engineering Xi’an Xi’an 710049 China

Low-voltage, high-performance capacitive micromachined ultrasonic transducers (CMUTs) are in urgent demand for portable ultrasound imaging and human-machine interfaces. However, most existing CMUTs exhibit superior comprehensive performance due to conflicting requirements in their structural design, which constrains their practical applications. This paper proposes a novel CMUT with T-shape cavities to achieve synergistic enhancement of multiple key performances by harnessing the electrostatic stiffness softening effect (ESSE). The unique T-shape cavity design features a smaller electrode distance in the peripheral area compared to the central area, which produces a higher electric field intensity and thus a larger membrane stiffness drop in the peripheral area of the vibrating membrane through the corresponding enhancement of ESSE. This special stiffness adjustment strategy ultimately enables the entire membrane to produce piston-like deformation, significantly improving both the maximum and average membrane deformation, and contributing to enhancements in operation voltage, transmitting and receiving sensitivities, electromechanical coupling coefficient, etc. The finite element method (FEM) is employed to investigate the device’s performance. Compared to conventional CMUTs, T-CMUTs reduce collapse voltage by 36.2%, with transmitting/receiving sensitivities and electromechanical coupling coefficient improved by 56.1%, 62.6%, and 76.0% under the same bias ratios;furthermore, these parameters improve by 371.0%, 516.0%, and 618.4% respectively at same bias voltages. An analysis of the stress distribution of the membrane further verifies the underlying mechanism of the T-shape cavity in enhancing device performance. Additionally, the foreseeable simple process and feasibility in consistent fabrication endow the proposed CMUTs with significant potential for practical application. © 2001-2012 IEEE.

关键词： Capacitive micromachined ultrasonic transducers (CMUTs) electrostatic stiffness softening effects (ESSE) T-shape cavities working voltage

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CoF: Coarse to Fine-Grained Image Understanding for Multi-modal Large Language Models

CoF: Coarse to Fine-Grained Image Understanding for Multi-mo...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Wang, Yeyuan Gao, Dehong Li, Bin Long, Rujiao Yi, Lei Cai, Xiaoyan Yang, Libin Zhang, Jinxia Yu, Shanqing Xuan, Qi School of Automation Northwestern Polytechnical University Shaanxi Xi'an China School of Cybersecurity Northwestern Polytechnical University Shaanxi Xi'an China Alibaba Group Zhejiang Hangzhou China The Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Southeast University Nanjing210096 China Advanced Ocean Institute Southeast University Nantong226010 China Zhejiang University of Technology Zhejiang Hangzhou China Binjiang Institute of Artificial Intelligence Zhejiang Hangzhou China

ISBN: (纸本)9798350368741

The impressive performance of Large Language Model (LLM) has prompted researchers to develop Multi-modal LLM (MLLM), which has shown great potential for various multi-modal tasks. However, current MLLM often struggles to effectively address fine-grained multi-modal challenges. We argue that this limitation is closely linked to the models' visual grounding capabilities. The restricted spatial awareness and perceptual acuity of visual encoders frequently lead to interference from irrelevant background information in images, causing the models to overlook subtle but crucial details. As a result, achieving fine-grained regional visual comprehension becomes difficult. In this paper, we break down multi-modal understanding into two stages, from Coarse to Fine (CoF). In the first stage, we prompt the MLLM to locate the approximate area of the answer. In the second stage, we further enhance the model's focus on relevant areas within the image through visual prompt engineering, adjusting attention weights of pertinent regions. This, in turn, improves both visual grounding and overall performance in downstream tasks. Our experiments show that this approach significantly boosts the performance of baseline models, demonstrating notable generalization and effectiveness. Our CoF approach is available online at https://***/Gavin001201/CoF. © 2025 IEEE.

关键词： fine-grained understanding prompt engineering vision and language

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Deep transfer learning-based decoder calibration for intracortical brain-machine interfaces

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Computers in Biology and Medicine 2025年第Pt A期192卷 110231-110231页

作者： Li, Xiao Dong, Xianxin Wang, Jun Mao, Haodong Tu, Xikai Li, Wei He, Jiping Li, Qiang Zhang, Peng Hubei Key Laboratory of Modern Manufacturing Quantity Engineering School of Mechanical Engineering Hubei University of Technology Wuhan430068 China Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Hubei Wuhan China MoE Key Laboratory for Biomedical Photonics Collaborative Innovation Center for Biomedical Engineering School of Engineering Sciences Huazhong University of Science and Technology Hubei Wuhan China The Key Laboratory of Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Hubei Wuhan China Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing China

Intracortical brain-machine interfaces (iBMIs) aim to establish a communication path between the brain and external devices. However, in the daily use of iBMIs, the non-stationarity of recorded neural signals necessitates frequent recalibration of the iBMI decoder to maintain decoding performance, which requires collecting and labeling a large amount of new data. To address this challenge and minimize the time needed for decoder recalibration, we proposed an active learning domain adversarial neural network (AL-DANN). This model leveraged a substantial volume of historical data alongside a small amount of current data (four samples per category) to calibrate the decoder. By incorporating domain adversarial and active learning strategies, the model effectively transferred knowledge from historical data to new data, reducing the demand for new samples. We validated the proposed method using neural signals recorded from three monkeys performing different movements in a classification task or a regression task. The results showed that the AL-DANN outperformed existing state-of-the-art methods. Impressively, it required only four new samples per category for decoder recalibration, leading to a recalibration time reduction of over 80 %. To our knowledge, this is the first study to incorporate deep transfer learning into iBMI decoder calibration, highlighting the significant potential of applying deep learning technologies in iBMIs. © 2025

关键词： Adversarial machine learning

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Dual comb ranging: methodologies, systems and applications

Dual comb ranging: methodologies, systems and applications

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Conference on Lasers and Electro-Optics (CLEO)

作者： Guanhao Wu Siyu Zhou Yuetang Yang Kai Ni Department of Precision Instrument State Key Laboratory of Precision Measurement Technology and Instruments Tsinghua University Beijing China Division of Advanced Manufacturing Tsinghua Shenzhen International Graduate School Tsinghua University Tsinghua Campus the University Town Shenzhen China

Dual-comb ranging is a powerful tool for absolute distance measurement. Here, we introduce dual-comb ranging’s principle, noise suppression technologies, and applications in measuring space camera deformation and sat... 详细信息

ISBN: (纸本)9781957171258

关键词： Absolute distance measurement Electrooptical modulators Frequency combs Phase noise Range finding Remote sensing

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