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Cold bulging process for aluminium alloy ring with irregular section

Procedia Manufacturing 2020年 50卷 510-513页

作者： Jian Lan Hui Wei Lin Hua School of Material Science and Engineering Wuhan University of Technology Wuhan 430070 China Hubei Key Laboratory of Advanced Technology for Automotive Components Technology Wuhan University of Technology Wuhan 430070 China

Large size aluminium alloy seamless ring with irregular section is usually obtained by hot ring rolling process. Because of residual stress, the ring generally experiences much deflection during subsequent aging and machining. To control this deflection and strengthen the aluminium alloy ring, cold bulging process has to be applied to the ring to homogenize residual stress before aging and machining, and the uniformity of cold deformation is the key problem. The cold bulging process was designed for the forging of the casing ring of aluminium alloy with 5-meter special-shaped section. On this basis, the stress analysis of the cold bulging process was made and the process was engineered. By using Deform-3D to conduct finite element analysis on the ring cold bulging process and stress analysis on different positions of the ring, the deformation characteristics of the ring under the cold bulging process were obtained. The uniformity of the deformation of the ring was achieved by means of the rotation of the disc die when the ring was bulging. The bulging process in the engineering scheme greatly improved the uniformity of the strain in each region of the ring, which provided a reliable theoretical analysis and engineering scheme for the cold bulging process of the ring forgings of aluminium alloy casing with irregular section.

关键词： Cold bulging aluminium alloy ring

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Research on Deformation Law and Forming Accuracy of Dieless Single Point Incremental Forming Based on Machine Vision

SSRN

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SSRN 2022年

作者： Li, Yan Pang, Qiu Hu, Zhi-Li Hubei Key Laboratory of Advanced Technology of Automobile Components Wuhan University of Technology Wuhan430070 China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of Technology 430070 China Hubei Research Center for New Energy & Intelligent Connected Vehicle Wuhan University of Technology Wuhan430070 China Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Wuhan University of Science and Technology Wuhan430081 China

Dieless single point incremental forming is very suitable for individual and small batch processing, due to its advantages of high flexibility and low cost. However, it has always been difficult to control the surface quality and geometric accuracy of the part. In this paper, a dieless single point incremental forming device based on machine vision is designed to study the deformation law of parts and the evolution law of forming accuracy under different process parameters. The results show that the defects of wrinkle, fracture, discontinuous outer contour and poor geometric accuracy are easy to appear in the dieless single point incremental forming. A high accuracy multi-pass single point incremental forming model based on machine vision is established. In this model, the contour data of the part is obtained online, and the relationship between the toolpath and the actual contour is fitted by neural network in the multi-pass forming, then the forming toolpath is automatically optimized. By combining with the ring washer to constrain the deformation of the material, problems of discontinuous outer contour and poor geometric accuracy of the part are solved. Finally, the deviation is controlled within 0.5mm, and high efficiency and high accuracy incremental forming is achieved. © 2022, The Authors. All rights reserved.

关键词： Surface properties

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Dynamic Simulation of Hydrogen Fueling Performance Based on Look-Up Table and MC Methods 1

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9th International Conference on Energy Engineering and Environmental Engineering, ICEEEE 2022

作者： Luo, Hao Xiao, Jinsheng Bénard, Pierre Chahine, Richard Yang, Tianqi School of Mechanical and Electrical Wuhan Business University Hubei430056 China Hubei Research Center for New Energy & Intelligent Connected Vehicle and Hubei Key Laboratory of Advanced Technology for Automotive Components School of Automotive Engineering Wuhan University of Technology Hubei430070 China Hydrogen Research Institute Université du Québec à Trois-Rivières QuébecQCG8Z 4M3 Canada

ISBN: (数字)9783031302336

ISBN: (纸本)9783031302329

To ensure the safety and speed of the fueling for hydrogen fuel cell vehicles, the Society of Automotive Engineers (SAE) has promulgated the look-up table and the MC methods. Their fueling performance is worthy for further study and improvement. We analyzed and established a thermodynamic model of a hydrogen fueling system, and carried out the dynamic simulation of the look-up table and MC methods according to the SAE J2601 protocol. The simulation results agree well with the reference data. Based on the validated model, the fueling performance between the look-up table method and the MC method was compared under the same conditions. Finally, the key parameters MATexp and Ptrans in the MC method were studied. Our research shows that compared to the look-up table method, the MC method reduces the total fueling time by 10.5%. But the peak cooling power increases by 18.9%, meaning more investment in refrigeration equipment. The MATexp cannot be too large or too small and seems more appropriate to approximately equal the precooling temperature at the end of filling. The Ptrans can be appropriately increased under the upper-temperature limit in the onboard tank, not just the pressure midpoint of the fueling process described in SAE J2601, further to improve the fueling performance of the MC method. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Hydrogen

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Optimization and Scheduling Method for the Operation of Hydrogen-Thermal-Electric Multi-Energy Flow Microgrid System Considering Uncertainty in New Energy Vehicle Load Demand

Optimization and Scheduling Method for the Operation of Hydr...

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International Conference on Power and Energy technology (ICPET)

作者： Xianyi Zhou Rui Zhang Banghua Du Changjun Xie Zihao Li Junhui Cao School of Automation Wuhan University of Technology Wuhan China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

To ensure the stable operation of the hydrogen-electric-thermal multi-energy flow system under the impact of New Energy Vehicle (NEV) loads and to improve the system's economic efficiency, this paper proposes an optimization and scheduling method for the operation of the hydrogen-electric-thermal multi-energy flow microgrid system considering the uncertainty of NEV load demand. Firstly, a simulation prediction model for NEV loads and a model for the hydrogen-electric-thermal multi-energy flow microgrid system are established. Secondly, an optimization model for scheduling is established with the system's economic benefits as the objective function, taking into account the NEV load. Finally, the feasibility of the proposed method is verified using the MATLAB platform. The results indicate that this optimization method effectively meets the real-time load demand of the system and reduces the impact of loads on the grid. Compared to dispatch based solely on fixed energy supply plans, this optimization method reduces electricity purchased from the grid, decreases reliance on the main grid, and improves the system's energy utilization efficiency by approximately 7%. Although operational costs may slightly increase, the overall economic benefits are better.

关键词： Vehicle-to-grid Uncertainty Costs Electricity Optimization methods Microgrids Predictive models MATLAB Load modeling Resilience

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Parameter Optimization of Dual Clutch Transmission for an Axle-split Hybrid Electric Vehicle

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IFAC-PapersOnLine 2019年第5期52卷 423-430页

作者： Xiliang Cao Changqing Du Fuwu Yan Hongming xu Biao He Yanfeng Sui Hubei Key Laboratory of Advanced Technology for Automotive Components(Wuhan University of Technology) Wuhan 430070 China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan 430070 China Department of Mechanical Engineering The University of Birmingham Birmingham B15 2TT United Kingdom

This paper reports the design optimization for a dual clutch transmission (DCT) of a multi-mode axle-split hybrid electric vehicle (HEV). The purpose of optimization is to minimize the equivalent fuel consumption of automobile power demand. The variables that need to be optimized are gear ratio and Shifting threshold value. The optimization is based on a co-simulation platform, in which, the HEV is modelled in LSM Amesim and the control/optimization algorithms are programmed in MATLAB/ Simulink. In this study, the Hybrid Particle Swarm Optimization (HPSO) algorithm is used to solve the optimization problem, which has better global and local search capability comparing with conventional PSO algorithm. The simulation results show that the optimized transmission parameters can guarantee the power demand and have a good fuel economy.

关键词： Multi-mode axle-split hybrid electric vehicle DCT Gear ratios Shifting threshold value HPSO

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Material flow characteristics and deformation law during dual directional hot forging of the steel-aluminium spur gear

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Procedia Manufacturing 2020年 50卷 425-428页

作者： Wei Feng Xiangyang Jia Biao Liu Ming Gao School of Materials Science and Engineering Wuhan University of Technology Wuhan Hubei 430070 China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan Hubei 430070 China Hubei Engineering Research Center for Green Precision Material Forming Wuhan Hubei 430070 China

To study the material forming characteristic and deformation law during dual directional hot forging (DDHF) of the steel-aluminum spur gear, a thermo-mechanical coupled finite element model (FEM) was built using DEFORM-3D software. Billet was designed into two parts—core cylinder and outer ring. 20CrMnTi steel and pure aluminum are selected as the materials of the outer ring and core cylinder, respectively. The steel outer ring formed the teeth of the spur gear and heated 1000°C, while the aluminum core formed the center of the spur gear and heated 400°C. The heated steel-aluminum billet was deformed under biaxial forging pressure. The FE simulation was carried out and the metal forming characteristic and flow law were analyzed. The simulation results show that the core pure aluminum has bigger deformation in the middle part and extruding the steel ring forming part of the teeth. The final forging temperature of billet increases and the forming load decreases with the increasing the forging speed.

关键词： Spur gears dual directional hot forging steel-aluminum materials thermo-mechanical coupled FEM deformation characteristic

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Artificial neural network based optimization of a six-step two-bed pressure swing adsorption system for hydrogen purification

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Energy and AI 2021年第3期5卷 38-52页

作者： Liang Tong Pierre Bénard Yi Zong Richard Chahine Kun Liu Jinsheng Xiao Reliability Engineering Institute School of Energy and Power EngineeringWuhan University of TechnologyWuhanHubei 430063China Hubei Research Center for New Energy&Intelligent Connected Vehicle and Hubei Key Laboratory of Advanced Technology for Automotive Components School of Automotive EngineeringWuhan University of TechnologyHubei 430070China Hydrogen Research Institute Universitédu QuébecàTrois-RivièresQuebec G8Z 4M3Canada Center for Electric Power and Energy Department of Electrical EngineeringTechnical University of Denmark4000RoskildeDenmark Green Island Environment and Resources Institute School of Architectural and Civil EngineeringShenyang City UniversityLiaoning 110112China

The pressure swing adsorption(PSA)system is widely applied to separate and purify hydrogen from gaseous *** extended Langmuir equation fitted from the extended Langmuir-Freundlich isotherm has been used to predict the adsorption isothermal of hydrogen and methane on the zeolite 5A adsorbent bed.A six-step two-bed PSA model for hydrogen purification is developed and validated by comparing its simulation results with other *** effects of the adsorption pressure,the P/F ratio,the adsorption step time and the pressure equalization time on the performance of the hydrogen purification system are studied.A four-step two-bed PSA model is taken into consideration,and the six-step PSA system shows higher about 13%hydrogen recovery than the four-step PSA *** performance of the vacuum pressure swing adsorption(VPSA)system is compared with that of the PSA system,the VPSA system shows higher hydrogen purity than the PSA *** on the validated PSA model,a dataset has been produced to train the artificial neural network(ANN)*** effects of the number of neurons in the hidden layer and the number of samples used for training ANN model on the predicted performance of ANN model are ***,the well-trained ANN model with 6 neurons in the hidden layer is applied to predict the performance of the PSA system for hydrogen ***-objective optimization of hydrogen purification system is performed based on the trained ANN *** artificial neural network can be considered as a very effective method for predicting and optimizing the performance of the PSA system for hydrogen purification.

关键词： Hydrogen purification Pressure swing adsorption Isotherm Artificial neural network Machine learning Optimization

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Computational analysis for the synchronizing time of the microcar transmission

Computational analysis for the synchronizing time of the mic...

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International Conference on Electric Information and Control Engineering

作者： Tian, Shaopeng Fan, Ling Tang, Chen Mi, Shisheng School of Automobile Engineering Wuhan University of Technology Hubei Key Laboratory of Advanced Technology of Automotive Parts China School of Automobile Engineering Wuhan University of Technology China SAIC-GM-WULING Automobile CO. LTD Liuzhou China

ISBN: (纸本)9781424480395

The synchronizing time directly relates to the transmission shifting performance. The simplified model of process was established according to the actual conditions. Then it analyses the synchronizing time in different conditions for the same shifting force. And then it also analyses the shift handle force in a given synchronizing time in different conditions. On that basis, it presents the effective method to improve shifting time and reduce synchronizing time. This can be used to optimum design. © 2011 IEEE.

关键词： Synchronization

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Lattice Boltzmann simulation of droplet coalescence in fuel cell flow channel with mechanical vibration

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International Communications in Heat and Mass Transfer 2023年第PartB期145卷

作者： Zhai, Shuai Chen, Sheng Hubei Key Laboratory of Advanced Technology for Automotive Components School of Automotive Engineering Wuhan University of Technology Wuhan China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan China School of Computing Engineering and Built Environment Glasgow Caledonian University Glasgow United Kingdom

Fuel cells are the promising power source for future green vehicles and water management is an important issue for proton exchange membrane (PEM) fuel cells, which affects the lifetime and durability of fuel cells critically. In the available studies, the key parameters such as channel shape, airflow rate and material wettability have been extensively studied for water management. However, so far there is no open research on the effect of mechanical vibration on water management although most fuel cells work under vibration conditions. To bridge the knowledge gap, based on the Shan-Chen lattice Boltzmann model, this paper aims to reveal the water droplet coalescence process in an airflow channel under vibration conditions and several interesting observations are obtained for the first time. A large vibration amplitude or a small vibration frequency will not only hinder the movement of droplets, but also accelerate the coalescence of droplets. Also by comparing the simulation results it can be found that the droplet movement velocity decreases significantly after coalescence. Therefore, it is important to avoid large amplitude and small frequency for the operation of PEM fuel cells. © 2023 Elsevier Ltd

关键词： Vibrations (mechanical)

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Longitudinal Speed Estimation of Multi-axle Distributed Drive Vehicle Based on Federal Kalman Filter

Longitudinal Speed Estimation of Multi-axle Distributed Driv...

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Conference on Vehicle Control and Intelligence (CVCI)

作者： Dongmei Wu Kangqi Du Huan Liu Xing Liu Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China Technical Center of Dongfeng Commercial Vehicle Wuhan China

When the wheels of distributed drive vehicle slip, the effectiveness of longitudinal speed estimation based on dynamics model is poor. Therefore, a multi-model fusion estimation method based on Federal Kalman Filter (FKF) is proposed in this paper. In order to tackle the nonlinear problem of vehicle dynamics model, an Extended Kalman Filter (EKF) is used to estimate the longitudinal speed. Additionally, considering the large mismatch between the dynamics model and the real vehicle when the wheels slip, the acceleration and linear Kalman Filter (KF) framework are used to construct a speed estimation algorithm based on kinematics. Then a FKF is designed to fuse both dynamics and kinematics methods. The slip ratio observer is introduced as the information distribution principle of two methods, and information fusion and time update are completed in FKF. After running for a period of time, the fusion result is used to reset the filter of the kinematics method to reduce the accumulated error. Finally, Trucksim/Simulink co-simulation platform is utilized for simulation analysis. Results show that the proposed speed estimation method has good effect and adaptability in the slip condition.

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