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Rare Metals 2019年第11期38卷 1070-1077页

作者： Zhi-Li Hu Qiu Pang Ming-Liang Dai Hubei Key Laboratory of Advanced Technology of Automobile Components Wuhan University of TechnologyWuhan 430070China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of TechnologyWuhan 430070China School of Mechanical and Electrical Engineering Wuhan Donghu UniversityWuhan 430212China

Zigzag line is a common defect in friction stir welding(FSW) *** formation mechanism of the zigzag line in Al-Cu alloy FSW joint and its influence on the microstructure and mechanical properties during post weld heat treatment(PWHT) were studied by scanning electron microscopy(SEM),microhardness and tensile *** is found that the occurrence of zigzag line for PWHT joint is determined by PWHT process which in nature depends on residual stress and thermal stress of FSW *** optimization of PWHT process to reduce the residual and thermal stress can trigger for the deterioration of mechanical properties of PWHT joints with zigzag *** obvious decrease of tensile properties is observed for T6-450 and T6-495 joints although zigzag line appears in the *** determines the sizes of zigzag line cracks and consequently determines the fracture location and characteristics of FSW joint.

关键词： Friction stir welding Post weld heat treatment Zigzag line Mechanical properties

Intelligent Vehicle Positioning Method Based on GPS/Lidar/Derivative Data Fusion 3

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Intelligent Vehicle Positioning Method Based on GPS/Lidar/De...

3rd IEEE International Conference on Information Systems and Computer Aided Education, ICISCAE 2020

作者： Wei, Haiyuan Huang, Miaohua Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Hubei Collaborative Innovation Center for Automotive Components Technology Research Center for New Energy and Intelligent Connected Vehicle Wuhan430070 China

ISBN: (纸本)9781728183039

Ensuring the accurate positioning of the vehicle at any time is the key to navigation and path planning in unmanned driving vehicle. Due to the changes and signal attenuation of vehicle-mounted GPS signals when they pass through electric clouds, and the reflection of GPS signals when they encounter glass curtain wall, and under underground garages, tunnels and overpasses, for example, GPS satellite signals cannot be received by vehicle-mounted GPS locator due to the obstruction of buildings. The above-mentioned situations will cause the vehicle GPS positioning signal to be unstable or even missing. And the current positioning method based on lidar has become the mainstream positioning method for unmanned vehicles. However, under bad weather conditions, the detection capability of infrared waves will be greatly attenuated, and the stability of lidar positioning will also be affected. Therefore, this paper introduces an unmanned driving vehicle positioning method based on GPS/lidar/derivative data fusion when the environment map is known. That is, when the GPS signal is good and the lidar is in good weather conditions, the vehicle can be accurately positioned by GPS/lidar/derivation fusion. While the GPS positioning signal or lidar positioning is unstable and in the event of a short absence, it is still can achieve accurate positioning of intelligent vehicles through a derivation-based approach. The experimental data and MATLAB software simulation results show that the horizontal error of vehicle positioning is within the range of 14.3cm and the longitudinal error is within the range of 8.8cm, within 5 seconds after the lidar and GPS signals are lost simultaneously. © 2020 IEEE.

关键词： Optical radar

Temperature Characteristics of Silicon Carbide Particulate Filter During Drop-to-Idle Regeneration Applied to a Diesel Vehicle

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SSRN 2022年

作者： Cai, Zhizhou Yan, Fuwu Hu, Jie Zhu, Lei Chen, Peng Liao, Jianxiong Wu, Yan Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan430070 China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of Technology Wuhan430070 China Hubei Research Center for New Energy & Intelligent Connected Vehicle Wuhan University of Technology Wuhan430070 China Kailong High Technology Company Limited Wuxi214174 China

During the active regeneration process, engine speed may drop to idle (DTI) under extreme circumstances, where the diesel particulate filter (DPF) is subjected to severe thermal stress that can cause DPF cracks. To prevent the filter thermal damage, this study investigated the temperature variation of silicon carbide (SiC) substrate with different vehicle speed, initial soot load, regeneration duration and target DTI regeneration temperature under the real vehicle road conditions . The results showed that the peak temperature and temperature gradient were greatly increased at the rear end of DPF. The radial temperature distribution in DPF was not uniform, and the heat convection in outer rings was especially significant. The maximum temperature and maximum temperature gradient increased as the PM load and target DTI regeneration temperature increased, whereas vehicle speed and regeneration duration had the opposite effect. Similar results were also found in regeneration efficiency. To enable better regeneration performance and fuel economy within the DPF heat capacity, appropriate soot load threshold and target DTI regeneration temperature should be carefully selected. Finally, the maximum temperature and maximum temperature gradient prediction models of DPF regeneration were developed based on experimental data. The models' average errors were 1.06% and 2.66%, respectively, and could be used to determine the temperature curve and the soot load threshold for safe regeneration. © 2022, The Authors. All rights reserved.

关键词： Drops

Investigation of a Novel Constructive Hot Ring Rolling Process for Double Metal Composite Ring 13th

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Investigation of a Novel Constructive Hot Ring Rolling Proce...

13th International Conference on the technology of Plasticity, ICTP 2021

作者： Deng, Jiadong Cheng, Zhe Qian, Dongsheng Liu, Jikang Wu, Rongwen School of Automotive Engineering Wuhan University of Technology Wuhan430070 China School of Materials Science and Engineering Wuhan University of Technology Wuhan430070 China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan430070 China Hubei Engineering Research Center for Green & Precision Material Forming Wuhan University of Technology Wuhan430070 China

ISBN: (纸本)9783030753801

Double metal composite ring has the advantages of two materials, and is used in specific fields. The traditional manufacture method is welding. And some scholars try to use ring rolling process to produce a composite ring. However, the interface connection quality is not good. In this paper, a novel constructive hot ring rolling process to manufacture a seamless double metal composite ring is proposed. First, two separate rings with different metals are assembled together. And then the surface interface area on the upper and lower of the assembled ring are welded in an oxygen-free environment, which can suppress the interfacial oxidation during heating process. After that, the surface welded ring is cleaned and heated. Finally, the target double metal composite ring is formed by hot ring rolling. An experiment of constructive hot ring rolling process for double metal composite ring was done. The interface healing effect of the composite ring was studied. The result indicated that the interface healing degree was significantly improved by this method. © 2021, The Minerals, Metals & Materials Society.

关键词： Metals

Retraction notice to “Testing and impact modeling of lithium-ion prismatic battery under quasi-static and dynamic mechanical abuse” [J. Energy Storage 68 (2023) 107639]

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Journal of Energy Storage 2025年 117卷

作者： Zhen Zou Fengxiang Xu Haodong Tian Xiaoqiang Niu Hubei Key Laboratory of Advanced Technology of Automotive Components Wuhan University of Technology Wuhan 430070 China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of Technology Wuhan 430070 China

The effect of ultrasonic shot peening on the fatigue life of alloy materials: a review

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International Journal of Computational Materials Science and Surface Engineering 2021年第3-4期10卷 209-234页

作者： Chen, Yun Deng, Sen Zhu, Chao Hu, Kaixiong Yin, Fei School of Logistics Engineering Wuhan University of Technology Wuhan430063 China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of Technology Wuhan430070 China

It is more and more widespread to introduce nano-structured grains on the surface of alloys to improve their strength. One of the technologies to achieve this is the ultrasonic shot peening (USP) technique, which has attracted special attention. With this technology, uniform nano-structured grains can be formed on the surface and compressive residual stress can be developed that can improve the fatigue life. However, pits will be formed during the USP process, which will cause stress concentration and lower the fatigue life. This paper reviews the effects of USP processing parameters on the evolution of the surface morphology, microstructure and residual stress. A finite element simulation based on the velocity model was established to simulate the impact of the USP processing on the fatigue performance. Copyright © 2021 Inderscience Enterprises Ltd.

关键词： Shot peening

Uncertainty Quantification Based Framework for Predicting Degradation Trends of Proton Exchange Membrane Fuel Cell

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SSRN 2023年

作者： Guo, Bingxin Xie, Changjun Zhu, Wenchao Yang, Yang Li, Hao Shi, Ying Xiong, Rui Li, Yang Wu, Hangyu School of Automation Wuhan University of Technology Wuhan430070 China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan430070 China Modern Industry College of Artificial Intelligence and New Energy Vehicles Wuhan University of Technology Wuhan430070 China Wuhan University of Technology China Beijing Institute of Technology Beijing100081 China

Accurately predicting the degradation trends of Proton Exchange Membrane Fuel Cells (PEMFC) can provide a solid basis for optimizing control of the vehicles and stations based on PEMFC. However, most prediction methods do not consider factors like measurement errors from experimental environments and the inherent cognitive uncertainty of the model. They can only offer point estimates, lacking credibility. This paper introduces a deep learning prediction framework that combines an RNN model with a Truncated Bayes by Backprop Through Time (TB) algorithm. The TB algorithm reconstructs fixed parameters in the model into probability density distributions, transforming the output from point estimation to interval estimation with probability density distributions. Under dynamic conditions, TB-GRU shows improvements of 81.57% and 192.42% in RMSE and R2 compared to GRU, respectively. TB-GRU's uncertainty quantification capability increases by 15% compared to TB-LSTM. Under different steady-state conditions, TB-GRU's point estimation and interval estimation also improve to varying degrees. This method holds greater practical significance compared to other prediction approaches. Additionally, the paper proposes four effective evaluation metrics for uncertainty quantification, providing higher reference value in effectively characterizing the model's prediction accuracy and uncertainty quantification capability. © 2023, The Authors. All rights reserved.

关键词： Forecasting

Effect of Gradient Multilayer on Tribological Performance of Tin/Tisin Coatings Prepared by Cathodic Arc Ion Plating

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SSRN 2023年

作者： Tu, Rong Jiao, Jiao Jiang, Mingquan Yang, Mai Ji, Baifeng Gao, Tenghua Li, Qizhong Zhang, Song Zhang, Lianmeng Chaozhou Branch of Chemistry and Chemical Engineering Guangdong Laboratory Chaozhou521000 China State Key Lab of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan430070 China Wuhan University of Technology Advanced Engineering Technology Research Institute of Zhongshan City Xiangxing Road 6 Zhongshan528400 China School of Civil Engineering and Architecture Wuhan University of Technology Wuhan430070 China Department of Applied Physics and Physico-Informatics Keio University Yokohama223-8522 Japan Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan430070 China

Hard coatings such as transition metal nitrides have been widely applied to improve the mechanical properties and tribological performance of cutting tools. The coatings in various multilayer structures or gradient structures have been designed to meet the demands of more severe service environments and more precise processing requirements. In this work, TiN/TiSiN coatings in several gradient&multilayered structures were deposited on cemented carbide by cathodic arc ion plating using TiSi alloy and Ti targets. The modulation period (Λ) of the multilayer varies gradually with thickness, ranging from 6 to 46 nm. The gradient multilayer coatings consist of nanocrystalline-amorphous composite with compact growth. The coating with modulation period first increasing and then decreasing has the highest hardness of 38 GPa and the maximum residual compressive stress of -2.71 GPa as well as the minimum coefficient of friction (COF) and wear rate. Gradient and multilayer structures moderate the brittleness caused by the presence of amorphous SiNx phase, and optimizes the mechanical properties and tribological performances of the coatings. © 2023, The Authors. All rights reserved.

关键词： Nanocrystals

Influence of Rotary Forging on the Microstructure Evolution and Mechanical Properties of Network Structure Tibw/Ta15 Composite

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SSRN 2023年

作者： Zhang, Jishi Han, Xinghui Hu, Xuan Hua, Lin Su, Baoyi Tian, Duanyang Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan430070 China School of Automotive Engineering Wuhan University of Technology Wuhan430070 China School of Mechanical Engineering Qilu University of Technology Shandong Academy of Sciences Jinan250353 China Shandong Institute of Mechanical Design and Research Jinan250103 China

In current work, a high strength and plasticity synergy effect titanium matrix composite with network TiB whiskers reinforcement architecture was obtained by rotary forging. The spheroidization behavior, transformation of texture and the strengthening mechanism were studied. It is revealed that the TiB whiskers could promote spheroidization behavior and refined grain. With the increase of deformation, the basal texture gradually disappeared and the dominant pyramidal texture appeared. The stress-strain curve shows that strength and plasticity are positively correlated with deformation. The strengths are monotonously increased from 992 MPa to 1310 MPa as the deformation increases from 10% to 40%. In addition, the elongation increases at the same time, from 5.7% to 9.3%. The improvement of plasticity resulting from more uniform plastic deformation, fewer stress concentrations can be confirmed by crystal plasticity finite element method (CPFEM). The strengthening mechanism is attributed to the TiB whiskers load-transfer strengthening, the grain refinement strengthening and the dislocation pinning effect caused by the TiB whiskers based on the analysis result. © 2023, The Authors. All rights reserved.

关键词： Stress-strain curves

Multi-Response Optimisation of Automotive Door Using Grey Relational Analysis with Entropy Weights

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Research Square

Research Square 2021年

作者： Chen, Hao Lu, Chihua Liu, Zhien Shen, Cunrui Sun, Menglei Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory Foshan528200 China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan430070 China

Tail-welded blanks (TWBs) are widely used in automotive bodies to improve structural performance and reduce weight. The stiffness and modal lightweight design optimisation of TWBs for automotive doors was performed in this study. The finite element model was validated through physical experiments. An L27 (312) Taguchi orthogonal array was used to collect the sample points. The multi-objective optimisation problem was transformed into a single-objective optimisation problem based on the grey relational degree. The optimal combination of structural design parameters was obtained for a tail-welded door using the proposed method;the weight of the door structure was reduced by 2.83 kg. The proposed optimisation method has fewer iterations and a lower computational cost, enabling the design of lightweight TWBs. © 2021, CC BY.

关键词： Multiobjective optimization