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作者： Liu, Mingyuan Zhang, Jian Qin, Shengfeng Zhang, Kai Wang, Shuying Ding, Guofu Institute of Advance Design and Manufacturing Technology Southwest Jiaotong University Chengdu610031 China Department of Design Northumbria University Newcastle Upon TyneNE1 8ST United Kingdom State Key Laboratory of Rail Transit Vehicle System Southwest Jiaotong University Chengdu China Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province Southwest Jiaotong University Chengdu61003l China School of Computing and Artificial Intelligence Southwest Jiaotong University Chengdu610031 China

Accurate prediction of multiple orders remaining completion time (MORCT) is crucial in the make-to-order production model. It enables managers to keep track of production status, make timely decisions, and ensure on-time delivery of orders. However, dynamic production environments, characterized by constantly changing order quantities and relationships, as well as the special temporal features of the production process, pose challenges to existing prediction methods. To address these issues, this paper proposes a novel framework based on multi-target regression. First, production data are collected and standardized from various sources using multiple data transfer protocols. The input dataset is then constructed and dynamically adjusted to accommodate changes in order quantities and priorities. Finally, a prediction model named DMTR-LSA is developed to effectively handle the specific temporal relationships in the production data by integrating long short-term memory (LSTM) and self-attention mechanisms. A case study in a real production workshop demonstrates that the proposed method supports simultaneous prediction of multiple orders. It outperforms existing methods on several evaluation metrics, reducing the average prediction error by more than 8.9%. These results highlight the practical value of the proposed method for predicting MORCT in dynamic production environments and its potential impact to enhance the production decision-making process. © 2024 Elsevier Ltd

关键词： Prediction models

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Investigation of the driver injury risks in small overlap impact with automatic emergency braking

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Transportation Safety and Environment 2025年第1期7卷

作者： Fan, Tiqiang Nie, Zhenlong Wan, Xinming Liu, Yu Yang, Peilong Chen, Jianzhuo Ren, Lihai China Automotive Engineering Research Institute Co. Ltd. Chongqing401120 China State Key Laboratory of Intelligent Vehicle Safety Technology Chongqing401133 China Key Laboratory of Advanced Manufacturing Technology for Automobile Parts of Ministry of Education Chongqing University of Technology Chongqing400054 China

The forward displacement caused by precrash braking may influence occupant injury risks in frontal impacts. However, the occupant injury mechanisms in the small overlap impact (SOI) with autonomous emergency braking (AEB) systems are not yet fully understood. This study aimed to investigate the driver injury mechanisms in SOI with AEB via finite element modelling using the THUMS occupant model and a validated vehicle model. Simulations were conducted under the braking-crash loadings which combined the simplified braking curves with representative SOI accelerations. Simulation results indicated a considerable increase in occupant thoracic compression owing to forward displacement induced by AEB, though the risk of brain injury remained uncertain. The presence of AEB in SOI changed occupant injury patterns, showing varied injury risk trends across different body regions. The main injury mechanisms under AEB crash load conditions were the reduced buffering effect of the restraint system and increased ride-down efficiency caused by AEB, contributing to greater uncertainty in overall occupant injury risk. © 2024 The Author(s).

关键词： Digital elevation model

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Microstructure and wear behavior of laser-cladded WC matrix composite coatings with different TiC/Ni contents on titanium alloys

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Ceramics International 2025年

作者： Zhang, Yongshi Liu, Zhenguang Yang, Chunguang Wang, Xiaonan Sun, Mingyan Chen, Shan Xu, Guoxiang School of Materials Science and Engineering Jiangsu University of Science and Technology Zhenjiang212100 China State Key Laboratory of Special Vehicle Design and Manufacturing Integration Technology Baotou014030 China School of Iron and Steel Soochow University Suzhou215021 China

WC-based ceramic composite was fabricated on a Ti6Al4V surface using laser-cladding technology with different Ni alloy and TiC contents. The microstructure, microhardness, and tribological properties of the prepared composite coatings were characterized by analyzing phase, surface morphology, elemental distribution, wear depth profiles, and wear rate. The results show that the main phases of the prepared ceramic coatings comprised of TixW(1-x), TiC, α-Ti, and Ti2Ni-Ti3Al eutectic structure. The coating structure evolution was influenced by solidification thermodynamics and kinetics;as the temperature decreases, the dendritic TiC and chunk solid solution TixW(1-x) solidified first, followed by the transformation of β-Ti into α-Ti. Owing to the similar precipitation temperatures, the Ti2Ni-Ti3Al eutectic structure precipitated. The microhardness and wear resistance of the Ti6Al4V surface were improved by the prepared laser-cladding composite coatings, which can be attributed to the TixW(1-x) and TiC hard-enhanced phases. Adhesive, oxide, and abrasive wears were the main wear mechanisms of the prepared coatings. The prepared composite coatings exhibited pitting and galvanic corrosion in acidic solutions. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Titanium alloys

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Intelligent energy management in hybrid electric cycling work vehicles: A multi-task learning approach

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Energy 2025年 326卷

作者： Zhang, Wei Li, Jinchen Ma, Hongfeng Niu, Chengyong Wang, Jixin Yang, Zhiyu Li, Lijun Huang, Linsen Chongqing Key Laboratory of Green Design and Manufacturing of Intelligent Equipment Chongqing Technology and Business University Chongqing 400067 China State Key Laboratory of Intelligent Manufacturing of Advanced Construction Machinery Xuzhou221004 China Vehicle and Intelligent Driving Testing and Research Department China Merchants Testing Vehicle Technology Research Institute Co. Ltd. Chongqing 401329 China School of Mechanical and Aerospace Engineering Jilin University Changchun130012 China School of Transportation Science and Engineering Beihang University Beijing100191 China

Learning-based approaches have become mainstream solutions for achieving intelligent energy management in hybrid electric vehicles (HEVs). For hybrid electric cycling work vehicles (HECWVs), predictable driving routes facilitate model learning. Nevertheless, effectively tailoring and deploying learning-based energy management strategies specifically for HECWVs encounters significant hurdles. These primarily involve substantial data requirements to capture diverse operational tasks, achieving robust generalization across heterogeneous scenarios, and ensuring the interpretability of the resultant control policies. To address these issues in HECWVs, this study pioneers the introduction of a multi-task learning mechanism and presents a customized energy management approach. Specifically, a work condition clustering module using Self-Organizing Maps (SOM) enables efficient dimensionality reduction and intuitive visual clustering. Additionally, the prioritized sweeping method is introduced within the multi-task learning framework to enhance learning efficiency and establish an efficient cross-task sharing mechanism. Finally, this study introduces an asymmetric sharing mechanism to accommodate diverse working conditions among HECWVs, thereby enhancing strategic decision-making responsiveness. This enhancement is achieved by guiding targeted interactions among tasks through an asymmetric parameter-sharing structure aligned with the proportion of working conditions. Real data analysis demonstrates improved model interpretability and adaptability in sparse data scenarios. Additionally, it outperforms traditional model-based learning approaches in both optimality and strategic response speed in environments with heterogeneous driving characteristics. Notably, fuel economy is improved by 5.3 %, and the learning response speed is enhanced by 388 %. © 2025 Elsevier Ltd

关键词： Multi-task learning

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Fatigue life prediction of aluminum-steel magnetic pulse crimped joints based on point cloud measurement and gradient boosting regression trees

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International Journal of Fatigue 2025年 198卷

作者： Zhao, Yujia Lai, Ming Wu, Yuqi Li, Guangyao Jiang, Hao Cui, Junjia State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle Hunan University Changsha410082 China Elite Engineering School Changsha University of Science & Technology Changsha410114 China Shenzhen Automotive Research Institute Beijing Institute of Technology Shenzhen518057 China Shenzhen Huashun Intelligent Equipment Co. Ltd. Shenzhen518057 China

The fatigue life of magnetic pulse crimping (MPC) joints is crucial for the safe fatigue design of connection structures. Traditional fatigue life prediction methods primarily rely on loading condition analysis and fail to fully account for the impact of manufacturing variations (such as raw material dimensions, process parameters, and joint deformations), which presents challenges for accurate fatigue life prediction. To address this issue, this paper proposes a fatigue life prediction method for MPC joints that combines point cloud measurement and machine learning (ML) models. Random sample consensus (RANSAC) and point cloud segmentation are used to extract the joint deformation contour precisely. Compared to metallographic analysis, this method achieved non-destructive extraction of joint deformation features. Based on this, an integrated dataset covering the entire process from raw materials to fatigue testing is established. Five machine learning models are trained and tested, with results showing that the gradient boosting regression trees (GBRT) model performs the best. The visualization of a single decision tree in the GBRT model is analyzed, providing a transparent decision-making process. A comparison is made between the GBRT model and the traditional Basquin model. In the GBRT model, 100% of the training set and 90% of the testing set fall within the 1.5 times error band, while only 45% of the training set and 60% of the testing set in the Basquin model fall within this range. Additionally, the GBRT model achieves a higher coefficient of determination (R2) on the dataset compared to the Basquin model. © 2025 Elsevier Ltd

关键词： Fatigue testing

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Analysis of a novel gas cycle cooler with large temperature glide for space cooling

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Energy 2025年 326卷

作者： Luo, Baojun Su, Xiaoxue Zhang, Shunfeng Yan, Piaopiao Liu, Jingping Li, Ruijie State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Hunan Changsha410082 China College of Mechanical and Vehicle Engineering Hunan University Changsha410082 China Research Institute of Hunan University in Chongqing Chongqing401120 China Key Laboratory of Space Energy Conversion Technology Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100190 China

Developing new cooling technologies with high energy efficiency are urgently desired for carbon neutrality. The present study demonstrates the performance of a novel gas cycle cooler with a large temperature glide allowing for a well-temperature matching between working fluid and air. The study includes a numerical simulation and parameter optimization of One-way oscillating flow cycle (OOFC) cooler with a temperature glide of 275K–293 K on the source side. A relative Carnot efficiency of 54.02 %–66.89 % is achieved at warm temperature ranging from 303 K to 323 K. As OOFC cooler has similar structure as Stirling cycle (SC) cooler, a numerical simulation and parameter optimization of SC cooler is also conducted for comparisons. The displacer's diameter and stroke in two coolers are the same for fair and reasonable comparison. Based on the respective performance achieved at the optimal relative Carnot efficiency for each cooler, the cooling capacity improvement of OOFC over SC coolers is 207 %–219 % with corresponding a relative Carnot efficiency improvement of 0.19 %–9.04 %. Based on the respective performance achieved at the same cooling capacity for each cooler, the relative Carnot efficiency improvement of OOFC over SC coolers is 32 %–52 %. Thus, OOFC cooler has overwhelming advantages over SC cooler and huge potential as an alternative to vapor compression cycle cooler for space cooling. © 2025

关键词： Vapor compression refrigeration

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Integrated Schedule and Speed Optimization for Heterogeneous Multiple vehicles at Intelligent Signal-Free Intersections

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IEEE Transactions on Vehicular technology 2025年

作者： Cai, Jianjun Pan, Wenjun Li, Yang Que, Wenwei Chen, Xiutao Liu, Yonggang Chen, Zheng Chongqing University State Key Laboratory of Mechanical Transmission for Advanced Equipment Chongqing400044 China Dongfeng Liuzhou MOTOR Co. Ltd. Liuzhou545000 China Hunan University State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Changsha410082 China University of Malaya Faculty of Engineering Department of Mechanical Engineering Kuala Lumpur50603 Malaysia Kunming University of Science and Technology Faculty of Transportation Engineering Kunming650500 China

To mitigate energy consumption and travel delays for electric vehicles (EVs) and traditional fuel vehicles (FVs) at signal-free intersections, this paper presents a cooperative ecodriving approach integrating schedule and speed optimization for heterogeneous vehicles. Specifically, a cooperative optimization strategy is devised to optimize the arrival times of heterogeneous vehicles at a signal-free intersection. Furthermore, to enhance energy consumption economy and ride comfort of vehicles, a multi-objective eco-driving speed planning algorithm is designed to plan the vehicles' speed trajectory, in which the quadratic programming is employed for EVs and the Gauss Pseudospectral method for FVs. A rolling optimization framework is adopted to combine the schedule strategy and speed planning algorithm and enable real-time application of the proposed approach. Finally, the simulation results exhibit that compared to the scheme that combines the first-come-first-served method with linear programming, the proposed approach can improve travel efficiency by 54.95% and avoid collisions, while reducing the energy consumption of EVs and FVs by 24.81% and 51.72%, respectively, and observably improving vehicle ride comfort. Moreover, extensive sensitivity analyses are also conducted to demonstrate the energy-saving performance of the approach under various market penetration rates of EVs and traffic flow conditions. © 2025 IEEE.

关键词： Sensitivity analysis

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Kriging-assisted valid-screening optimization (KVSO) to study optimal steering strategies for multi-struts aircraft

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Aerospace Science and technology 2025年 162卷

作者： Shi, XiaZheng Nie, Hong Zhang, Ming Gui, XiWen Zheng, YuTing Xu, YuHan Hu, TianYang State Key Laboratory of Mechanics and Control for Aerospace Structures College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics Nanjing210016 China Key Laboratory of Fundamental Science for National Defense-Advanced Design Technology of Flight Vehicle College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics Nanjing210016 China

During ground maneuvering of multi-strut aircraft (MSA), certain main landing gears (MLGs) require steering capabilities to coordinate with the nose landing gears (NLGs) for minimizing steering radius and maintaining stability. Inappropriate MLG steering angles may lead to tire sideslip and potential aircraft rollover in extreme cases. This article presents a Kriging-assisted valid-screening optimization (KVSO) method for predicting optimal steering strategies of MSA under complex constraints, determining optimal coordination angles for the MLGs. The proposed method first introduces a penalty-based pre-screening filter (PBPF) mechanism that selects samples by comprehensively evaluating multiple constraint violations, thereby enhancing the algorithm's optimization efficiency. Subsequently, a valid constraint screening (VCS) mechanism, based on normal distribution principles, is proposed to reduce computational costs. Furthermore, a region of interest sampling surrogate model update mechanism is developed based on the constraint boundary sampling (CBS) criterion. This mechanism constructs high-precision surrogate models for both optimization objective regions and constraint boundaries, thus accelerating global optimization convergence. The effectiveness of the proposed method is validated through two engineering case studies. The results demonstrate superior computational efficiency and optimization accuracy in resolving the optimal steering strategy for MSA. This method provides theoretical foundations for MLGs steering angle design. © 2025 Elsevier Masson SAS

关键词： Normal distribution

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A review of biodegradable biliary stents made of magnesium metals:Current progress and future trends

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Journal of Magnesium and Alloys 2025年第1期13卷 30-40页

作者： Ling Liu Tuo En Liu Tan To Cheung Department of Surgery The University of Hong KongQueen Mary HospitalPokfulam Road 102Hong Kong Special Administrative Region State Key Laboratory of Advanced Design andManufacturing Technology for Vehicle Hunan UniversityChangsha 410012PR China Department of biliary Surgery Xiangya Hospital of Central South UniversityChangsha 410008PR China International Joint Research Center of Minimally Invasive Endoscopic Technology Equipment&Standards Xiangya Hospital of Central South UniversityChangsha 410008PR China National Clinical Research Center for Geriatric Disorders Xiangya Hospital of Central South UniversityChangsha 410008PR China Department of Biomedical Sciences West Virginia School of Osteopathic MedicineLewisburg WV 24901United States

Biliary system,which is responsible for transporting bile from the liver into the intestine,is commonly damaged by inflammation or tumors eventually causing liver failure or *** implantation of biliary stents can effectively alleviate both benign and malignant biliary strictures,but the plastic and metal stents that are currently used cannot degrade and nearly has no beneficial biological effects,therefore their long-term service can result into inflammation,the formation of sludges and re-obstruction of bile *** recent years,magnesium(Mg)metal has been received increasing attention in the field of biomedical application due to its excellent biocompatibility,adequate mechanical properties,biodegradability and other advantages,such as anti-inflammatory and anti-tumor *** research on biliary stents made of magnesium metals(BSMM)has also made significant progress and a series of experiments in vitro and vivo has proved their ***,there are still some problems holding back BSMM’s clinical use,including rapid corrosion rate and potential harmful *** this review,we would summarize the current research of BSMM,evaluate their clinical benefits,find the choke points,and discuss the solving method.

关键词： Biliary stents Magnesium metals Degradation Biological application

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Less-Conservative Robust Path Tracking Control With Intrinsic Bump-Free Feature for Autonomous vehicles: A Sub-Polytope Integrated Approach

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IEEE Transactions on Intelligent Transportation Systems 2025年

作者： Zhang, Liqin Hu, Manjiang Bian, Yougang Zhang, Hui Nguyen, Anh-Tu Hunan University State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle College of Mechanical and Vehicle Engineering Changsha410082 China Hunan University Wuxi Intelligent Control Research Institute Wuxi214115 China Beihang University Department of Transportation Science and Engineering Beijing100191 China Université Polytechnique Hauts-de-France LAMIH Laboratory UMR CNRS 8201 Valenciennes59313 France INSA Hauts-de-France Valenciennes59313 France

This paper proposes a novel sub-polytope integrated approach (sPIA) that features an intrinsic bump-free transition, aiming to reduce conservatism in the design of path tracking control for autonomous vehicles with large range time-varying longitudinal velocity. The approach encapsulates the interdependent time-varying parameters associated with longitudinal velocity as a set of finite-vertex sub-polytopes interconnected via junction points, thereby reducing the conservatism induced by modeling overbounding. The integration of junction points and the formulation of sub-region activation rules provide a theoretical foundation for avoiding abrupt changes in feedback gains, ensuring a bump-free transition between sub-regions. A gain-scheduling state feedback controller is designed, employing parameter-dependent Lyapunov functions to further attenuate design conservatism. The effectiveness of the proposed method in reducing design conservatism is demonstrated by a comparative analysis of the optimal H∞ performance indices across various sub-polytope integration schemes. Furthermore, the superiority of the method is exemplified via simulations within real-world driving scenarios, utilizing the high-fidelity CarSim-Simulink platform. The results indicate that the proposed sPIA outperforms traditional polytopic methods in path tracking performance. This improvement, together with the effective avoidance of bumps during sub-regional transitions, confirms the efficacy of the proposed approach. Moreover, the real-time performance of the method is verified by hardware-in-the-loop experiments. © 2000-2011 IEEE.

关键词： Lyapunov functions

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