日本铁道车辆检修体系的革新与发展动向

综述了以东日本铁路客运公司为代表的日本铁路公司对车辆检修体系的革新与新检修技术开发现状;描述了检修新技术发展前景;并对新维修体系以及检修作业的自动化、省力化、与技术诊断设备的应用及效果作了介绍。     

地铁曲线段不规则磨耗引起的钢轨波磨监测

在小半径曲线的内轨侧出现钢轨短波波磨加剧的现象,是世界上许多铁路网都面临的一个问题。由于地铁线路小半径曲线大量存在,受其影响尤为突出。本文为一实例研究,属于一个研发预测曲线地段钢轨波磨的数值工具课题的一部分。在斯德哥尔摩地铁中一处半径为120m的曲线段上,通过重复测试轨道的粗糙度及列车通过时引起的噪声,监测波磨的发展状况。在一年的打磨过程中,发生了剧烈的短波波磨,最大峰-峰值约为0.15mm。测试数据谱分析显示,在4～14cm波长范围内,粗糙度幅值较大,峰值约在5和8cm处。波磨为单一的纵向形式（波峰与轨道方向垂直）,幅值在100m长的被测轨道段上呈现不规则变化。粗糙度增长速率随时间增加,直至钢轨打磨后的300天,此后仅有少量的附加粗糙度出现。由于平均车速约为30km/h,因此由波磨造成的滚动噪声主要处于200Hz以下的低频段。打磨后的139～300天,4～14cm波长范围内粗糙度级增加10.1dB,与之相应的60～200Hz频段内的滚动噪声级增加4.9dB。在干燥天气条件下,列车通过时引起人体不适的噪声主要是车轮啸鸣噪声而非滚动噪声。     

Research on the Mechanical Properties of Transparent Sand Based on Triaxial TestEI北大核心

Research purposes: Transparent sand is a new type of geotechnical engineering material, which is made of fused silica sand and porous liquid with the same refractive index. In order to understand its mechanical properties, the CU and CD tests of fused silica sand with a particle size of 0.5~1.0 mm and 1.0~3.0 mm are carried out by triaxial apparatus, and the stress-strain curves, pore water pressure changes and effective stress ratio of the two are compared and analyzed. In addition, E-μ model parameters of coarse and fine sand are calculated respectively, which provide corresponding parameters for further numerical calculations. Research conclusions:(1) The loose sample's stress-strain curve shows hardening characteristics. (2) The coarse particle specimen with steeper stress-strain curve comes to the peak at faster velocity than fine particle specimen. (3)The pore pressure value of the coarse particle specimen is greater than the fine particle, the pore water pressure coefficient of the two shows a decreasing trend with the increase of the confining pressure. (4) Transparent sand can be used to simulate natural sand and the change of diameter can represent different soils. (5) The research results can provide reference for model tests based on transparent soil technique. © 2018, Editorial Department of Journal of Railway Engineering Society. All right reserved.     

Gain scheduled linear quadratic tracking system tuned optimally by covariance matrix adaption evolutionary strategy for automotive engine coldstart control

In this paper, a gain scheduled linear quadratic tracking system (LQTS) tuned optimally by an evolutionary strategy (ES) is devised to reduce the total tailpipe hydrocarbon (HC) emissions of an automotive engine over the coldstart period. As the engine’s behavior during coldstart operations is nonlinear, the system dynamics is clearly analyzed and represented by a number of separate linear models generated based on a coldstart model verified by experimental data. An independent LQTS is then implemented for each of these linear models. In this way, several control laws are created, and the corresponding gains are calculated for each of the independent control laws. ES is then used to tune the adjustable parameters of LQTSs to calculate the control inputs, namely air/fuel ratio (AFR) and spark timing (Δ), such that the resulting exhaust gas temperature (T _exh) and engine-out HC emissions (HC _raw) be close to a set of optimum profiles. This enables the controller reduce the cumulative tailpipe hydrocarbon emissions (HC _cum) to the highest possible extent. To demonstrate the acceptable performance of the proposed controller, an optimal controller derived from the Pontryagin’s minimum principle (PMP) is also taken into account. Based on the results of the conducted comparative study, it is shown that the proposed control technique has a very good performance, and also, can be easily used for real-time applications, as it consumes a remarkably trivial computational time for calculating the controlling commands.     

Effects of altitude on combustion characteristic during cold start of heavy-duty diesel engine

Altitude has a significant effect on combustion of heavy-duty diesel engines, especially during cold start. An experimental study on a heavy-duty diesel engine operating at different altitudes was conducted. Tests were based on a direct injection (DI) turbocharged diesel engine with intake and exhaust pressure controlled by the plateau simulation test system to stimulate altitude conditions including 0 m, 1000 m, 2000 m, 3000 m and 4000 m. Results indicated that the compression and expansion resistance moment reduced and the speed increased during the cranking period. The peak pressure of several cycles was increased during the start-up period; however, the expansion pressure dropped more and the indicated mean effective pressure (IMEP) reduced as the altitude rose. While at an altitude of over 2000 m, the peak pressure fluctuated obviously during the start-up period. The higher the altitude was, the more the fluctuation amplitude and cycle number increased and combustion instability enhanced, which resulted the start-up period time increasing at high altitude. When the altitude rose, the cycle-to-cycle variation of the peak pressure and speed fluctuation increased during the idle, the ignition and CA50 were delayed and the combustion duration was shortened. The effect of altitude on combustion characteristics of the diesel engine was more significant during the start-up period than during its idle period.     

Experimental and 3D,embedded modeling for diesel engine SCR deposit

Nowadays, the selective catalytic reduction (SCR) is a promising solution to fulfill stringent nitrogen oxide (NO_X) emission standards enforced by worldwide regulation bodies for lean burning engines. However, in the practical operation, urea deposits occur under unfavorable conditions, which bring about a failure of urea dosing strategy, affect the SCR system de-NOx performance and lowering the fuel economy by increasing the engine back pressure. This paper will present 3D deposit model, which can be used to predict the deposit position. Furthermore, a model-based controls strategy and calibration are designed. The comparison test results of both engine emission tests and vehicle field tests shows there is significant deposits improvement with the embedded model.     

Pedaling torque sensor-less power assist control of an electric bike via model-based impedance control

This paper proposes a method to assist human force acting on electric bike without using costly torque sensors via a model-based impedance control technique. In general, electric bikes are classified into two categories, i.e., pedelec electric bikes and throttle electric bikes. We focus on the system called a pedelec electric bike. It assists human pedaling force using the pedaling information, e.g., pedaling force or speed. To obtain the human’s pedaling information in real-time, it needs physical sensors such as a torque sensor and a velocity sensor. But, these sensors are expensive and weak against external loads. Also, since these sensors are fixed directly to the forced component in a bike system, there are the risks of damage. For these reasons, sensor-less control methods based on a disturbance observer have been studied so far. In this paper, we have proposed a pedaling torque sensor-less power assist method and have applied it to the experimental pedelec electric bike. A power assist control algorithm, designed by employing an impedance model, consists of a PI-type feedback controller, an inverse model-based feedforward controller, and a pedaling torque observer. Finally, we performed experiments and confirmed the effectiveness of a proposed power assist control method.     

Numerical Simulation of Carbon Concentration Profiles in Case Layer of Steel 20 RE-Carburized in Multipurpose Furnace with Drip-Feed Atmosphere

IntroductionTheworkonthermochemica1treatInntswithasadditiOnswasshmulatOdbybasicresearchinl982inChinall].SignilicantProgfesshasbeenmadedurillthepastdecadeinthefield.TheresultsshowthatontheonehandtheREe1emedscanacceleratethedecomPositionofthemediumandactiVatethecarburizedschceofsteelsandthusenhancethecoefficientofcarbontransfer(D").OntheotherhandatelevatedtemPeratUreREelements,althoughtheyhavemuchbiggeratOmicsizesthaniron,couddiffuseintobasedalloystOasignilicamdepth.MoreifllPortantiXtheP…     

A SIMULATIONAL STUDY OF PRECIPITATION KINETICS AND MORPHOLOGY IN NITRIDATION OF ALLOY STEELS

IntroductionPreopationofultrideslikeAIN,Cffe,VN,TNandNbNplmpakeyroleinschceStrengtforngofalloysteelsbynitrdation.TheprocessisbasicallyillternaldridationofallOyscOmPosedofbasematalslikeFeandreactiveelemedslikeAl,UndecolltrOlledenvirondtoprevIttfonnndonofsdsescaleofbasemetalnitrdes,resemblinginternaloxidationofsimilartweofalloys[l].NUmericalmassttansferanalysisofnitridationkineticshasbeenwellestablished['],howeycfthefactthatthcyneglectinforactionofninogeneddride-formingatomsPreventsitfro…     

Tracked Air Cushion Vehicle Suspension Models: Analysis and Comparison

In this paper several dynamical models of fluid suspensions for tracked air cushion vehicles are analyzed and compared. Specifically, the models considered conform to: a fifth-order linear suspension, a nonlinear configuration with a constant supply pressure, a nonlinear model with compressor characteristics, and a sixth-order nonlinear model with a supply duct connecting the compressor to the cushion chamber. Nonlinearities included in the analysis are the flexible-skirted cushion capacitance, cushion entrance and exit orifice restrictions, feeding system duct fluid capacitance, and compressor pressure-flow characteristics. Temporal responses are obtained for guideway and external force inputs. Back flow conditions under which the supply compressor can stall are examined. It is shown that the general behavior resulting from linear analysis is in many respects similar to that obtained from the nonlinear analysis. Thus, a linear model could provide a good initial basis for a preliminary design and performance specifications.