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Electronics, Energy systems and Power engineering (EESPE), IEEE International Conference on

作者： Kun Liang Hang Zhang School of Management Tianjin University of Technology Tianjin China Tianjin Key Laboratory for Advanced Mechatronic 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: (数字)9798350389579

ISBN: (纸本)9798350389586

With the rapid development of e-commerce and supply chain management, logistics demand forecasting and scheduling optimization have become key links in improving logistics efficiency and service quality. To meet this challenge, this paper proposes a logistics demand forecasting and scheduling optimization method that combines K-Means clustering with deep Q network (DQN). Cluster analysis is used to reduce data complexity, and deep reinforcement learning is used to achieve intelligent scheduling. First, the background, challenges and research motivation of logistics demand forecasting and scheduling optimization are introduced. Secondly, the research results in related fields are reviewed, and the shortcomings of current research are pointed out. Then, the K-Means clustering algorithm, deep $\mathbf{Q}$ network theory and specific models of logistics demand prediction and scheduling optimization are elaborated. Then, the performance of the proposed method is designed and tested. The experimental results show that the proposed method can significantly improve the accuracy of logistics demand prediction, up to 0.93, optimize scheduling strategies, reduce logistics costs, and improve customer satisfaction.

关键词： Training Accuracy Costs Computational modeling Customer satisfaction Demand forecasting Clustering algorithms Predictive models Scheduling Logistics

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Wear behaviour of deep cryogenically treated coated tool during end milling of XH67MBTHO

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Proceedings of the Institution of mechanical Engineers, Part J: Journal of engineering Tribology 2025年

作者： Sasi, Jayaram C Mathew, Jose George, Allan Kuriachen, Basil Dhanish, P.B. Oommen, George Anoop, C.R. Advanced Manufacturing Centre Department of Mechanical Engineering National Institute of Technology Calicut Calicut India Materials and Manufacturing Entity LPSC Indian Space Research Organisation Trivandrum India Control System and Components Entity LPSC Indian Space Research Organisation Trivandrum India

XH67MBTHO is a Ni-based superalloy which finds usage in high temperature applications of aero engines. However, attributed to some of their inherent properties like strain hardening and poor thermal conductivity, tool life characteristics are adversely affected during the machining operations. The use of conventional TiAlN coated tools can address the tool wear issues faced during machining of similar Ni-based alloys. However, severe coating delamination, and significant adhesion wear mechanisms could negatively influence the effectiveness of the tools at dry lubricating conditions. The current study investigates the influence of a sustainable manufacturing technique through DCT (Deep Cryogenic Treatment) and its impact on coated tool inserts to address the tool wear issues under dry machining conditions. The DCT aids in the formation of η (eta) phase carbides, β-phase densification etc. Hence, the tool substrate develops significant wear resistance and fracture toughness in withstanding the contact stress at the machining interface. Notch wear, micro-crack formations, and built-up layer generations were observed to be major wear mechanism, and for treated tool (TT) it was less severe. Furthermore, the maximum reduction in average flank wear widths for treated tool was observed to be 26%, while the cutting force and surface roughness values were found to be reduced by 27%, and 24% respectively compared to untreated tool (UTT). © IMechE 2025.

关键词： Milling (machining)

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Point-Plane Better than Point-Point – for Embedding-based USAD 8

Point-Plane Better than Point-Point – for Embedding-based U...

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8th International Conference on Video and Image Processing, ICVIP 2024

作者： Zhao, Zhirong Zhang, Yuanhao Yu, Zujun Zhu, Liqiang Science and-Technology Department Guoneng Shuohuang Railway Development Co Ltd. Cangzhou Cangzhou062350 China Frontiers Science Center for Smart High-Speed Rail System Beijing Jiaotong University Beijing100044 China State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Beijing100044 China School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing100044 China

ISBN: (数字)9781510689244

ISBN: (纸本)9781510689237

As deep neural networks (DNNs) have advanced, high-quality pre-trained models have provided excellent feature extraction methods for embedding-based unsupervised anomaly detection (EUSAD). However, when calculating anomaly scores, common EUSAD models often rely on point-to-point distance computations between test features and reference features. This approach not only fails to fully utilize the carefully integrated reference feature library but may also increase pixel-level false positives due to the incorrect selection of reference points. To address this issue, this paper adopts the least squares method, evaluating anomalies by calculating the distance between test feature points and the reference feature plane. Experimental results demonstrate that this method not only performs well in global image detection but also significantly reduces pixel-level false positives, showing strong performance across many anomaly detection datasets. © 2025 SPIE.

关键词： Pixels

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Research on Robust Measurement Method of Heart Rate Using Remote Photoplethysmography Based on Adversarial Learning Network with High and Low Frequency Features

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IEEE Transactions on Circuits and systems for Video Technology 2025年

作者： Zhai, Dezhao Chen, Wei Ding, Yinghao Yu, Ming Li, Qinwei Wu, Hang Tianjin University of Technology Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology China People's Liberation Army Systems Engineering Institute Academy of Military Sciences Tianjin300161 China Civil Aviation University of China Tianjin Key Laboratory for Advanced Signal Processing Tianjin300300 China Nankai University School of Artificial Intelligence Tianjin300381 China

Remote Photoplethysmography (rPPG) is a non-contact method for measuring heart rate (HR) through facial video, breaking the constraints of contact measurements and offering broad application prospects. However, in real monitoring scenarios, the distance of subjects and facial illumination often vary. This leads to degradation of rPPG signals due to changes in facial resolution and light intensity. This paper presents the High and Low Frequency Feature Adversarial Learning Network (HLFF-AL), which utilizes feature space interpolation and composite feature capture to perform multi-band global and local signal extraction. By adopting an adversarial learning strategy, it enhances the capability to capture semantic information of rPPG under varying resolutions and lighting, bridging the differences in rPPG signal generation due to resolution changes. While maintaining accuracy in HR measuring, the robustness of the network is improved to achieve robust measurement of HR via rPPG. Even under high-resolution conditions, the Mean Absolute Error (MAE) for the three public datasets - unchanging lighting (COHFACE, UBFC-rPPG) and varying lighting (BUAA-MIHR) - reached 1.10 bpm, 1.64 bpm, and 4.41 bpm, respectively, with a mere 0.29 bpm difference in MAE between high and low resolutions on the BUAA-MIHR dataset. This demonstrates that HLFF-AL can predict more robust rPPG signals in various resolutions and lighting scenarios, achieving competitive results compared to state-of-the-art methods. © 1991-2012 IEEE.

关键词： Heart

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Non-reciprocity of energy transfer derived from cubic stiffness-induced nonlinear phenomena

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Results in Physics 2025年 73卷

作者： Kong, Na Sun, Min Chen, Jianen Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin 300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin 300384 China School of Science Tianjin Chengjian University Tianjin 300384 China

Introducing purely nonlinear elastic elements can induce rich dynamic behaviors, such as bifurcations, jumps and isolated resonance curves, to linear systems. Therefore, these elements are suitable for constructing strong non-reciprocity of vibration energy transfer. First, the energy transfer along reciprocal directions in a three-degree-of-freedom system is investigated, where three oscillators are connected by cubic springs. The semi-analytical solutions of the system are obtained using the complexification-averaging method and the least squares method. The results are compared against numerical solutions obtained by the Runge-Kutta method. The excitation amplitude range that produces strong non-reciprocity of vibration energy is analyzed. The jump phenomenon under combined excitation is investigated, and a trigger method for constructing non-reciprocity using an impulse is proposed. Then, an oscillator chain with cubic stiffness and scaling parameters is embedded into a multi-degree-of-freedom linear oscillator system to further explore the effect of cubic stiffness. Energy transfer along two directions is compared by exciting the leftmost oscillator and the rightmost oscillator. Moreover, the trigger effect of the impulse on non-reciprocity is demonstrated. The results show significant differences in vibration energy transfer within three distinct frequency bands. The critical points between reciprocal and non-reciprocal states are obtained, and the three stages of reciprocity related to excitation amplitude are analyzed. Lastly, the modulation effect of the cubic stiffness on non-reciprocity is conducted by comparing the energy of the output oscillator. © 2025 The Authors

关键词： Cubic stiffness Energy transfer Jump phenomenon Non-reciprocity

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Comparative analysis of cylindrical lithium-ion battery responses to continuous and intermittent compression: Insights into safety and failure mechanisms

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Energy 2025年 328卷

作者： Zhou, Nan Chen, Zeyu Zhang, Bo Zhao, Haihe Li, Ziheng Liu, Chengxin Han, Dongxu School of Mechanical Engineering and Automation Northeastern University Shenyang China Guangdong Key Laboratory of Battery Safety Guangzhou Institute of Energy Testing Guangzhou China Key Laboratory of Advanced Manufacture Technology for Automobile Parts Chongqing University of Technology Chongqing China Key Laboratory of Vibration and Control of Aero-Propulsion System Northeastern University Shenyang China School of Mechanical Engineering Xi'an Jiaotong University Xi'an China

Understanding lithium-ion battery failure under mechanical abuse is critical for safety. While continuous compression is studied, the effects of intermittent loading and its interaction with State of Charge (SOC) are less understood. This study experimentally investigates the mechano-electrochemo-thermal failure of 18650 NMC cells under continuous versus intermittent compression across various SOCs (20 %–80 %), monitoring mechanical, electrical, and thermal responses. Results revealed complex, non-linear failure mechanisms. High SOC consistently increased failure susceptibility (earlier failure, lower deformation tolerance). Intermittent compression proved significantly more hazardous than continuous loading, particularly at high SOC, accelerating internal damage and causing earlier, more severe thermal runaway, often initiated by identifiable soft short circuits (multi-stage voltage drops). Crucially, stiffness exhibited complex, mode-dependent behavior: non-monotonic under continuous compression (peaking at SOC 20 %) versus a generally monotonic increase under intermittent compression, highlighting loading pattern influence. The anode was the primary heat source during thermal runaway, and anomalous behavior was noted at SOC 60 %. These findings highlight the limitations of standard continuous crush tests and the need to incorporate intermittent loading in safety assessments. The complex, mode- and SOC-dependent mechanical responses provide critical data for robust battery pack design (considering stiffness variations and fatigue) and inform Battery Management system (BMS) failure precursor detection. © 2025 Elsevier Ltd

关键词： Lithium-ion batteries

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Vibration Transfer Function of Railway Vehicle system and its Spatial Coherence Under Vertical Track Irregularity Conditions

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Chinese Journal of mechanical engineering 2025年第2期 380-399页

作者： Peng Lu Xi Wang Yu Hou State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University School of Mechanical Electronic and Control EngineeringBeijing Jiaotong University

Current research on rail vehicle system vibrations primarily relies on numerical methods, with vibration transfer functions commonly derived through data fitting. However, the physical mechanisms underlying these vibrations are not well understood. To clarify the vibration transfer function and its characteristics, four basic input vectors are defined, and an analytical method is proposed. The vibration transfer functions of the vehicle system are solved, and their spatial coherence is analyzed. The results show that there are two spatial scales and four coherent modes in the vehicle system. The track irregularity wavelengths are combined with two spatial scales to alter the proportions of basic input vectors and then show the characteristics of spatial coherence. Four coherent modes are involved in wheel-rail force and primary suspension force; two coherent modes are involved in bogie vertical motion; and their dominant modes vary with the input frequency. On the other hand, the coherent modes involved in the bogie pitching motion and vehicle body motion are single and fixed over the whole range of frequency. This study presents an analytical method for the rapid solution of dynamic responses in vehicle systems and systematically analyzes the coherence behavior of vibration transfer functions with respect to tracking irregularity wavelengths.

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Study on the High-Speed Penetration and Shear Failure Mechanism of Beach Sand

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Materials 2025年第9期18卷 1922-1922页

作者： Zhu, Jianzhong Li, Jiangquan Kong, Yun Dong, Mingming Li, Yuqiong Zou, Meng Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China Key Laboratory for Bionics Engineering of Education Ministry Jilin University Changchun130022 China School of Mechanical Engineering Beijing Institute of Technology Beijing100081 China Key Laboratory for Mechanics in Fluid Solid Coupling Systems Institute of Mechanics Chinese Academy of Sciences Beijing100190 China State Key Laboratory of Nonlinear Mechanics Institute of Mechanics Chinese Academy of Sciences Beijing100190 China Guangdong Aerospace Research Academy Nansha Guangzhou511458 China

In this paper, the contact parameters of beach sand are calibrated based on the discrete element method and the optimal design method, and the obtained parameters by calibration are used as input for the angle of repose simulation. The relative error between angle of repose simulation results and experimental results is 3.27%. Based on the penetration and shear tests, simulation models were constructed to study the pressure shear failure mechanism of beach sand under high-speed conditions. The high-speed penetration simulation shows that with the increase of the penetration rate, the influence area of the sinkage plate gradually increases, and the stress of sand particles also increases. When the penetration rate increased from 0.5 m/s to 8 m/s, the pressure on the plate increased 12.7 times, indicating that the bearing capacity of the sand increased significantly with the increase of the penetration rate. The high-speed shear simulation shows that in the stable shear stage, the average shear torque initially increases slightly with the increase of speed, and then decreases significantly when the speed exceeds 4 m/s. This is because as the shear rate increases, the disturbance of the soil by the shear plate increases, the velocity of soil particles increases, resulting in a decrease in the number of soil particles in contact with the shear plate, thereby reducing the shear torque. © 2025 by the authors.

关键词： Fracture mechanics

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Fatigue strength simulation of natural porous structure

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International Journal of the Society of Material engineering for Resources 2018年第2期23卷 167-172页

作者： Tanaka, Yohei Masuyama, Tomoya Takahashi, Takeshi Iizuka, Hiroshi Course of Mechanical and Control Engineering Department of Advanced Engineering Course National Institute of Technology Tsuruoka College 104 Ino-oka sawada TsuruokaYamagata997-8511 Japan Course of Mechanical Engineering Department of Creative Engineering National Institute of Technology Tsuruoka College Higashine Yamagata999-3716 Japan Sanwa Yushi Co.Ltd. Higashine Yamagata999-3716 Japan Department of Mechanical System Engineering Faculty of Engineering Yamagata University 4-3-16 Jonan Yonezawa Yamagata992-8510 Japan

Rice hull which is one of the agricultural wastes in Japan has been demanded to reuse as the industrial materials. Rice hull silica carbon (RHSC) material, made from rice hull is produced by mixing rice hull powder with a phenol resin, and then carbonizing and the mixture in the nitrogen gas atmosphere at high temperatures. The RHSC is a porous carbon material utilizing natural porous structure originated from the rice hull. Therefore, reduction in environmental pollution is expected by the RHSC which is inexpensive and unique. In addition, a core competence of low friction coefficient, lubrication free, and high water resistance was reported for the RHSC in previous research. However, the RHSC has low reliability of strength originated potentially from the porous structure. Since the reliability of the RHSC is evaluated by a fatigue test which is required several weeks, calculating the fatigue strength by simulation analysis is useful. In this study, fatigue strength simulation analysis in natural porous structure was figured out and the size effect which influences the strength of the material was investigated. ©2018 Soc. Mater. Eng. Resour. Japan

关键词： Carbon

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Absolute longitudinal distance measurement verification of a standard polystyrene nanoparticle near a surface in water by means of multi-wavelength evanescent field 22

Absolute longitudinal distance measurement verification of a...

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22nd International Conference of the European Society for Precision engineering and Nanotechnology, EUSPEN 2022

作者： Blattler, Aran Khajornrungruang, Panart Suzuki, Keisuke Baba, Akiyoshi Goto, Daiki Graduate School of Computer Science and System Engineering Mechanical Information Science and Technology Course Kyushu Institute of Technology Fukuoka Japan Department of Intelligent and Control Systems Advanced Mechanical Division Kyushu Institute of Technology Fukuoka Japan Center of Microelectronic System Kyushu Institute of Technology Fukuoka Japan School of Computer Science and System Engineering Advanced Mechanical Course Kyushu Institute of Technology Fukuoka Japan

ISBN: (纸本)9781998999118

In the wet semiconductor process, abrasive nanoparticles are widely used in the chemical mechanical polishing (CMP) process to polish wafer surfaces for high planarization. During polishing, nanoparticles move with a high-speed three-dimensional (3D) position in the solution. In the 3D particles's moving positions, Z is a perpendicular longitudinal distance between the surface to the nanoparticle that plays a significant role in polishing, which could not be measured by general microscopy without longitudinal scanning. To understand nanoparticle phenomena near-surface, we have proposed and developed the apparatus with real-time fastmotion tracking on optical multi-wavelength evanescent fields microscopy to measure the 3D motion of the nanoparticle in water without scanning. In euspen's 2020, we could verify the relative distance ?Z of nanoparticles in water, but the absolute distance Z is unknown yet. In this manuscript, we have therefore developed an invisible nano-step height in water to verify the absolute height Z of an individual nanoparticle. The invisible nano-step height in water is made from an optical resin with a refractive index of 1.35 that is close to a refractive index of water to avoid unnecessary light during experimental verification. The nano-step height was less than 100 nm on a glass surface, fabricated using nanoimprint lithography. Polystyrene f100 nm standard particles in water were used to verify the height Z. The results of height Z of nanoparticles could be measured less than 100 nm with the measurement uncertainty ±10 nm (2s), which is related to the interferometer result of the nano-step height. © European Society for Precision engineering and Nanotechnology, Conference Proceedings - 22nd International Conference and Exhibition, EUSPEN 2022. All rights reserved.

关键词： Nanoparticles

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