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Multi-body dynamic simulation research on the influence of piston engine crankshaft thrust bearings abrasion

High technology Letters 2016年第4期22卷 426-435页

作者：么子云 Jiang Zhinong Li Xin Jia Yang Zhang Jinjie Diagnosis and Self-Recovery Engineering Research Center Beijing University of Chemical Technology Safety Detection and Intelligent System R&D of Beijing Rail Transit Engineering Research Center Beijing Rail and Transit Design & Research Institute CO.LTD

Fault diagnosis studying on piston engine,crankshaft and gearbox is focused in this paper. The thrust bearing abrasion caused by axial movement of the crankshaft will affect the force of timing gears and oil pump gears,which will result in the fracture of gears,abnormal ignition,connecting rod cracking and collision of cylinder. Simulation based on CrEO software is done to build three-dimensional models of crankshaft and gears of a WP10 diesel engine. The models are imported into AdAMS to complete multi-body dynamics simulations. The force analysis of gears in different kinds of axial movements is finished and variations rules of gear dynamic load is obtained. The presented results show that the crankshaft axial movement can cause overload and vibration on gears. combined with the realistic case data,the fault feature through simulation research is validated and early warming parameters of gear fault are proposed.

关键词： crankshaft piston engine axial movement gear multi-body simulation

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Advancing image understanding in poor visibility environments: A collective benchmark study

arXiv

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arXiv 2019年

作者： Yang, Wenhan Yuan, Ye ren, Wenqi Liu, Jiaying Scheirer, Walter J. Wang, Zhangyang Zhang, Taiheng Zhong, Qiaoyong Xie, di Pu, Shiliang Zheng, Yuqiang Qu, Yanyun Xie, Yuhong Chen, Liang Li, Zhonghao Hong, Chen Jiang, Hao Yang, Siyuan Liu, Yan Qu, Xiaochao Wan, Pengfei Zheng, Shuai Zhong, Minhui Su, Taiyi He, Lingzhi Guo, Yandong Zhao, Yao Zhu, Zhenfeng Liang, Jinxiu Wang, Jingwen Chen, Tianyi Quan, Yuhui Xu, Yong Liu, Bo Liu, Xin Sun, Qi Lin, Tingyu Li, Xiaochuan Lu, Feng Gu, Lin Zhou, Shengdi Cao, cong Zhang, Shifeng Chi, Cheng Zhuang, Chubin Lei, Zhen Li, Stan Z. Wang, Shizheng Liu, ruizhe Yi, dong Zuo, Zheming Chi, Jianning Wang, Huan Wang, Kai Liu, Yixiu Gao, Xingyu Chen, Zhenyu Guo, Chang Li, Yongzhou Zhong, Huicai Huang, Jing Guo, Heng Yang, Jianfei Liao, Wenjuan Yang, Jiangang Zhou, Liguo Feng, Mingyue Qin, Likun Wangxuan Institute of Computer Technology Peking University Beijing100080 China Department of Computer Science and Engineering Texas A&M University TX77843 United States State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Department of Computer Science and Engineering University of Notre Dame Notre DameIN46556 United States Department of Mechanical Engineering Zhejiang University Hangzhou310027 China Hikvision Research Institute Hangzhou310051 China Mtlab Meitu Inc. Beijing100080 China Insitute of Information Science Beijing Jiaotong University Beijing100044 China Department of Computer Science and Technology Tongji University Shanghai201804 China XPENGMOTORS Beijing China School of Computer Science and Engineering at South China University of Technology Guangzhou510006 China Tencent AI Lab Shenzhen518000 China Institute of Automation Chinese Academy of Sciences Beijing100190 China Northeastern University Shenyang110819 China Nanyang Technological University Singapore639798 Big Data Center State Grid Corporation of China Beijing China Winsense Inc. Beijing100080 China University of Chinese Academy of Sciences Beijing100049 China Department of Informatics Technical University of Munich Garching85748 Germany Institute of Microelectronics Chinese Academy of Sciences Beijing100190 China China Electric Power Research Institute Beijing100031 China Westlake University Hangzhou310024 China Department of Computer Science Durham University Durham United Kingdom Australian National University ActonACT0200 Australia Sunway-AI Co. Ltd Zhuhai China Chinese Academy of Sciences R&D Center for Internet of Things Wuxi214200 China

Existing enhancement methods are empirically expected to help the high-level end computer vision task: however, that is observed to not always be the case in practice. We focus on object or face detection in poor visibility enhancements caused by bad weathers (haze, rain) and low light conditions. To provide a more thorough examination and fair comparison, we introduce three benchmark sets collected in real-world hazy, rainy, and lowlight conditions, respectively, with annotated objects/faces. We launched the UG2+challenge Track 2 competition in IEEE CVPr 2019, aiming to evoke a comprehensive discussion and exploration about whether and how low-level vision techniques can benefit the high-level automatic visual recognition in various scenarios. To our best knowledge, this is the first and currently largest effort of its kind. Baseline results by cascading existing enhancement and detection models are reported, indicating the highly challenging nature of our new data as well as the large room for further technical innovations. Thanks to a large participation from the research community, we are able to analyze representative team solutions, striving to better identify the strengths and limitations of existing mindsets as well as the future directions. copyright © 2019, The Authors. All rights reserved.

关键词： Object detection

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Static Structural Analysis of 2MW Wind Turbine Blade Based on ANSYS Workbench

Static Structural Analysis of 2MW Wind Turbine Blade Based o...

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2017 2nd International conference on Test, Measurement and computational Method(TMCM 2017)

作者： Z.K.HE J.CAI S.S.CUI W.C.LIU B.W.LIU Y.d.WANG School of Nuclear Science and Engineering North China Electric Power University Blade Department of R&D Institute of Guo Dian Wind Power Technology Guodian United Power Technology Co.Ltd State Key Laboratory of Metal Materials Beijing University Science and Technology

In this paper, finite element software ANSYS Workbench is used in the static structural analysis of a kind of 2MW wind turbine blade. The results show that under the maximum possible load, the finite element model of the blade is within the safe range. But relatively speaking, the beam and the trailing edge are relatively bearing larger stress and more dangerous.

关键词： Static structural analysis Wind turbine blade ANSYS Workbench

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Study on Forming technology of TBM disc Cutter ring

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Journal of Physics: conference Series 2019年第3期1345卷

作者： Yong Hu Maosen Li Zhongguo Fu Yikai Hu Aiwu Zhang Changye Cao Key Laboratory of CNC Equipment Reliability Ministry of Education Jilin University Changchun Jilin Changchun 130022 China School of Mechanical and Aerospace Engineering Jilin University Changchun Jilin Changchun 130022 China Faw Jiefang Automotive Company Changchun Jilin Changchun 130011 China College of Automotive Engineering Changchun Jilin Changchun 130022 China Key Laboratory of Cutting Tool Technology of Shield and Tunnelling of Jilin Province Jilin Welter tunnel equipment Co. Ltd. Changchun Jilin Changchun 132000 China Overall R&D department CRRC Changchun Railway Vehicles Co. Ltd. Changchun Jilin Changchun 130062 China

The tunnels and underground projects bring an unprecedented development of hard rock tunneling technology. The forming process and material properties of the 20 inch disc cutter ring has been studied by the finite element simulation and test methods. The effects of blank size, blank heating temperature, mold preheating temperature and friction coefficient on the forming load, minimum surface temperature and blank deformation uniformity of 20 inch cutter ring were analyzed. The results show the optimum combination of the forming process of the 20 inch disc cutter ring is when the blank height is 90 mm, the blank heating temperature is 1200 °C, the preheating temperature is 280 °C, and the friction coefficient is 0.2. compression test and hardness test were carried out on the edge material of the cutter ring. The test results show that when the temperature exceeds 600 °C, the hardness and compressive strength of the cutter ring material will drop sharply. Therefore, the TBM should be properly cooled during construction. The research results in this paper can provide a basis for the optimization of TBM disc cutter ring processing technology and engineering applications.

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The Application of Simulation Method in Isothermal Elastic Natural Gas Pipeline

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IOP conference Series: Earth and Environmental Science 2018年第1期113卷

作者： Chunlei Xing Shiming Guan Yue Zhao Jinggang Cao Yanji Chu China petroleum pipeline Engineering Co. Ltd. (engineering) Langfang China School of Mechatronic Engineering Guangdong University of Petrochemical Technology Maoming China Petro china Pipeline R&D Center Langfang China Petro china Pipeline Jinzhou Oil & Gas Transportation Sub-company Jinzhou China

This Elastic pipeline mathematic model is of crucial importance in natural gas pipeline simulation because of its compliance with the practical industrial cases. The numerical model of elastic pipeline will bring non-linear complexity to the discretized equations. Hence the Newton-raphson method cannot achieve fast convergence in this kind of problems. Therefore A new Newton Based method with Powell-Wolfe condition to simulate the Isothermal elastic pipeline flow is presented. The results obtained by the new method aregiven based on the defined boundary conditions. It is shown that the method converges in all cases and reduces significant computational cost.

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NTIrE 2018 Challenge on Single Image Super-resolution: Methods and results

NTIRE 2018 Challenge on Single Image Super-Resolution: Metho...

引用

IEEE computer Society conference on computer Vision and Pattern recognition Workshops (CVPrW)

作者： radu Timofte Shuhang Gu Jiqing Wu Luc Van Gool Lei Zhang Ming-Hsuan Yang Muhammad Haris Greg Shakhnarovich Norimichi Ukita Shijia Hu Yijie Bei Zheng Hui Xiao Jiang Yanan Gu Jie Liu Yifan Wang Federico Perazzi Brian McWilliams Alexander Sorkine-Hornung Olga Sorkine-Hornung Christopher Schroers Jiahui Yu Yuchen Fan Jianchao Yang Ning Xu Zhaowen Wang Xinchao Wang Thomas S. Huang Xintao Wang Ke Yu Tak-Wai Hui Chao dong Liang Lin Chen Change Loy dongwon Park Kwanyoung Kim Se Young Chun Kai Zhang Pengjv Liu Wangmeng Zuo Shi Guo Jiye Liu Jinchang Xu Yijiao Liu Fengye Xiong Yuan dong Hongliang Bai Alexandru damian Nikhil ravi Sachit Menon Cynthia rudin Junghoon Seo Taegyun Jeon Jamyoung Koo Seunghyun Jeon Soo Ye Kim Jae-Seok Choi Sehwan Ki Soomin Seo Hyeonjun Sim Saehun Kim Munchurl Kim rong Chen Kun Zeng Jinkang Guo Yanyun Qu Cuihua Li Namhyuk Ahn Byungkon Kang Kyung-Ah Sohn Yuan Yuan Jiawei Zhang Jiahao Pang Xiangyu Xu Yan Zhao Wei deng Sibt Ul Hussain Muneeb Aadil rafia rahim Xiaowang Cai Fang Huang Yueshu Xu Pablo Navarrete Michelini dan Zhu Hanwen Liu Jun-Hyuk Kim Jong-Seok Lee Yiwen Huang Ming Qiu Liting Jing Jiehang Zeng Ying Wang Manoj Sharma rudrabha Mukhopadhyay Avinash Upadhyay Sriharsha Koundinya Ankit Shukla Santanu Chaudhury Zhe Zhang Yu Hen Hu Lingzhi Fu ETH Zurich Zurich Switzerland Merantix Germany NTIRE Eidgenossische Technische Hochschule Zurich Zurich ZH CH ESAT KU Leuven Belgium University of California at Merced CA USA Toyota Technological Institute TTI-Chicago Chicago US Duke University US School of Electronic Engineering Xidian University China Disney Research Facebook Oculus University of Illinois at Urbana-Champaign Illinois US Snap Inc. Snap Inc. Adobe Research Stevens Institute of Technology US University of Illinois at Urbana-Champaign US The Chinese University of Hong Kong Hong Kong China SenseTime Research School of Electrical and Computer Engineering National Institute of Science and Technolog Korea School of Electrical and Computer Engineering National Institute of Science and Technology Korea School of Computer Science and Technology Harbin Institute of Technology Harbin China Beijing University of Posts and Telecommunications China Beijing Faceall Technology Co. Ltd China Satrec Initiative R&D Center Korea Advanced Institute of Science and Technology Korea Xiamen University China Xiamen Universi China Ajou University Korea Electrical and Computer Engineering University of Alberta Canada Fuzhou University China National University of Computer & Emerging Sciences Islamabad Pakistan BOE Technology Group Co. Ltd. Yonsei University Korea Wenhua College China Software School Xiamen University China CSIR-CEERI India University of Wisconsin-Madison Madison Wisconsin US Institute of Integrated Automation School of Electronic and Information Engineering Xian Jiaotong University China

ISBN: (数字)9781538661000

ISBN: (纸本)9781538661017

This paper reviews the 2nd NTIrE challenge on single image super-resolution (restoration of rich details in a low resolution image) with focus on proposed solutions and results. The challenge had 4 tracks. Track 1 employed the standard bicubic downscaling setup, while Tracks 2, 3 and 4 had realistic unknown downgrading operators simulating camera image acquisition pipeline. The operators were learnable through provided pairs of low and high resolution train images. The tracks had 145, 114, 101, and 113 registered participants, resp., and 31 teams competed in the final testing phase. They gauge the state-of-the-art in single image super-resolution.

关键词： Image resolution degradation Training runtime computer architecture Testing Tracking

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continuous High-Accuracy radio Positioning of Cars in Ultra-dense 5G Networks

Continuous High-Accuracy Radio Positioning of Cars in Ultra-...

引用

International Wireless communications and Mobile computing conference

作者： Mike Koivisto Aki Hakkarainen Mário costa Jukka Talvitie Kari Heiska Kari Leppanen Mikko Valkama Laboratory of Electronics and Communications Engineering Tampere University of Technology Finland Huawei Technologies Oy (Finland) Co. Ltd Finland R&D Center Finland

ISBN: (纸本)9781509043736

The upcoming fifth generation (5G) radio networks will be the game changer of future societies. In addition to obvious improvements in wireless communications, 5G enables also highly accurate user equipment (UE) positioning that is carried out on the network side. Such a solution provides ubiquitous positioning services without draining the batteries of the UEs. In this paper, we concentrate on positioning methods that suits the future needs of automotive transportation and intelligent transportation system (ITS). In particular, we demonstrate how the location estimates can be obtained in 5G ultra-dense networks (UdNs) efficiently and even in a proactive manner where the UE locations can be predicted to some extent. Numerical performance analysis will then illustrate that the proposed 5G-based network-centric positioning solutions are well-suited for car and traffic applications, providing even sub-meter range positioning accuracy.

关键词： 5G networks extended Kalman filter positioning prediction tracking ultra dense networks

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Monte Carlo study on abnormal growth of Goss grains in Fe-3%Si steel induced by second-phase particles

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International Journal of Minerals,Metallurgy and Materials 2016年第12期23卷 1397-1403页

作者： dong-qun Xin Cheng-xu He Xue-hai Gong Hao Wang Li Meng Guang Ma Peng-fei Hou Wen-kang Zhang School of Materials Science and Engineering University of Science and Technology BeijingBeijing 100083China Global Energy Interconnection Research Institute Beijing 102211China Beijing R&D Center East China Branch of Central Iron and Steel Research InstituteBeijing 100081China Department of Electrical Engineering New Materials Global Energy Interconnection Research InstituteBeijing 102211China Technical Center Taiyuan Iron and Steel(Group)Co.Ltd.Taiyuan 030003China

The selective abnormal growth of Goss grains in magnetic sheets of Fe-3%Si （grade Hi-B） induced by second-phase particles （AlN and MnS） was studied using a modified Monte Carlo Ports model. The starting microstructures for the simulations were generated from electron backscatter diffraction （EBSd） orientation imaging maps of recrystallized samples. In the simulation, second-phase particles were assumed to be randomly distributed in the initial microstructures and the Zener drag effect of particles on Goss grain boundaries was assumed to be selectively invalid because of the unique properties of Goss grain boundaries. The simulation results suggest that normal growth of the matrix grains stagnates because of the pinning effect of particles on their boundaries. during the onset of abnormal grain growth, some Goss grains with concave boundaries in the initial microstructure grow fast abnormally and other Goss grains with convex boundaries shrink and eventually disappear.

关键词： silicon steel grain growth second phase particles Monte Carlo simulation

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Numerical prediction of inflow conditions influence on low-head bulb turbines performance

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IOP conference Series: Earth and Environmental Science 2018年第1期163卷

作者： F J Zhao X J Zhou B Guo C J Zeng S H Ahn Y X Xiao Z W Wang High Technology R&D Center of Tianjin Tianjin 300000 China Tianjin tianfa heavy machinery & hydro power equipment manufacture Co. Ltd & Tianjin Key Laboratory of Tianjin tianfa heavy machinery & hydro power equipment manufacture Tianjin 300405 China State Key Laboratory of Hydroscience and Engineering & Department of Thermal Engineering Tsinghua University Beijing 100084 China

The bulb turbine is widely used in low-head hydropower stations. due to its relatively short inflow channels, the flow patterns inside the turbines are easily affected by the upstream conditions. The oblique inflow may occur when then the overflow gates are closed, and the oblique angle differs with different installation positions for the turbines. In this paper, the effect of oblique inflow conditions on the turbine performances is numerically investigated for the low-head bulb turbine. Firstly, the effect of inflow conditions on the flow patterns inside the turbine was predicted. Secondly, the hydro performances of the turbines under different oblique angles are discussed. results show that the oblique inflow can sufficiently affect the turbine flows patterns and turbine performances. A positive oblique angle would lead to a lower efficiency for the turbines compared to a negative oblique angle.

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Evaluating Method of the On-Board FM receiver Characteristics Using MUSIC Method and the Two-Stage Method

Evaluating Method of the On-Board FM Receiver Characteristic...

引用

International conference on Microwave, radar and Wireless communications

作者： Satoru Komatsu Suguru Imai Kenji Taguchi Tatsuya Kashiwa Honda R&D Co. Ltd. Dept. of Electrical and Electronic Engineering Kitami Institute of Technology

ISBN: (纸本)9781509022151

Although we have evaluated the characteristics of the FM receiver by repeated running tests. Thus, there have been issues in its reproducibility and objectivity. To solve this problem, we developed a Two-Stage method reproducing a virtual radio environment on a PC [1]. However the Two-Stage method also had problems in estimating the actual radio wave environment and the arrival of FM broadcast wave. Thus, estimation of incoming waves by experiment is necessary by using the likes of MUSIC (Multiple Signal Classification) method [2]. However, application of MUSIC method to FM reception has an issue in the separation performance for multipath waves in urban area due to constraints such as the number of array antenna elements. consequently, MUSIC method with the use of virtual array antennas was developed [3]. In this study, the accuracy of MUSIC method-based estimation in actual environment was verified by modeling actual reception environment in urban area, and calculating values regarding radio wave environment characteristics with the use of a 3d map and ray tracing method.

关键词： Two-Stage method MUSIC method Virtual radio environment Virtual array antenna

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