基于发动机台架考核方法的气缸盖高周疲劳特性研究

依据发动机台架考核规范,运用疲劳强度理论,对某铸铁气缸盖进行高周疲劳强度评估。明确温度和应力随考核工况改变的变化行为,研究气缸盖各区域受工作载荷的影响状况,为缸盖寿命评估模型提供载荷边界。结合疲劳理论,在考虑材料修正的基础上进行了疲劳特性分析和损伤状况分析。分析表明,气缸盖各区域的疲劳安全系数均大于1,视为安全,但冷却钻孔区域的安全裕度较小。     

机械式汽车悬架性能检测试验台闭环控制系统的开发

开发了机械式汽车悬架装置试验台闭环控制系统,设计了闭环控制算法,使试验过程中,保证加速度恒定,并通过实验验证了本系统的可行性和正确性,从而使新系统进一步满足汽车悬架特性测试的要求,又降低了研究成本。在软件的开发中,采用VC＋＋6.0语言编制控制系统,使得开发出的系统界面友好,操作方便,功能强大。     

基于BIM的数字建造工业化平台中业务管理的多源数据集成关键技术研究

随着BIM技术的不断发展,BIM平台在施工全过程的应用逐渐丰富。集成整合平台背后全生命周期的工程数据,并将数据传递至工程建造各个环节当中进行应用,是BIM平台发挥作用的本质。如何在工程的全生命周期收集和整理工程数据库,并传递至各个工作流程中发挥作用,是开展BIM平台建设的重点。以乌鲁木齐市东进场高架道路工程为实例,重点研究BIM平台中工程数据库的建立,分析如何在项目的设计阶段和施工过程中采集工程数据,并将工程数据库应用于项目管理。     

恒温热源条件下实际回热式布雷顿循环的功率密度特性

用有限时间热力学方法分析恒温热源条件下实际回热式布畦顿循环的功率密度特性,计入工质与高,低温侧换热器的热阻损失,压气机,涡轮机的不可逆压缩和膨胀损失,以及管路系统中的压力损失,导出了功率密度与压比间的解析式,并通过数值计算将对应于最大功率密度时的一些参数与对应于最大功率时的同样参数进行了比较。     

浅谈滚动物料计划在汽车行业中的应用

随着汽车逐年普及,消费者需求多样化、个性化随着增长,而且消费者对提车周期要求越来越高.汽车生产企业如何快速、高效的占领市场,同时降低供应链物流成本,是目前自主品牌汽车企业面临重大挑战.需要从软硬件进行全面提升竞争能力,物料组织改进是整个汽车供应链改进不可缺少的一个重要环节,能帮助企业迅速占领市场,以最小的成本换取最大利...     

轨迹数据驱动的单点信号交叉口运行效率评价方法

为解决信号交叉口运行效率评价方法偏理论化、实用性不强等问题,以出租车、公交车、驾图(车联网)多源GPS轨迹数据为基础,充分利用车辆减速、停车、加速等连续速度变化特征及位置信息,提出交叉口个体车辆排队长度、通行时间、停车次数等交通参数提取技术.基于此,构建以信号交叉口运行指数为一级指标,车辆平均通行时间,第95％分位排队...     

米勒循环结合可变涡轮增压优化柴油机性能的仿真与试验研究

在开发一款机车柴油机过程中,利用AVL BOOST软件对柴油机工作过程进行了仿真计算,计算了不同米勒强度和不同喷油正时条件下柴油机的性能参数。根据计算结果,排除了弱米勒的方案。针对强米勒和中米勒,开展了试验研究,通过调整喷油定时、增压压力设定、共轨喷射压力,进行了多方案试验研究,试验结果表明,强米勒方案虽然可以有效降低Nox排放,但是带来PM排放升高和涡轮前排气温度升高的问题,中米勒虽然降低Nox排放的效果弱于强米勒,但是能获得比较满意的PM排放,且涡轮前排气温度远低于强米勒,综合各方面性能参数的比较结果,在满足排放要求的前提下,中米勒为优选方案。     

基于结果导向的绿色公路评价指标体系研究

本文在梳理绿色公路建设历程的基础上,结合绿色公路提出的时代背景、发展要求及目前评价指标体系存在的问题,借鉴目标管理法(MBO)突出结果导向,面向全寿命周期的三个阶段,从"资源节约"、"生态环保"、"低碳减排"、"智慧高效"等方面构建了包括4个一级指标、25个二级指标的绿色公路评价指标体系。     

Using GPS-data to determine optimum electric vehicle ranges: A Michigan case study

Fuel-switching personal transportation from gasoline to electricity offers many advantages, including lower noise, zero local air pollution, and petroleum-independence. But alleviations of greenhouse gas (GHG) emissions are more nuanced, due to many factors, including the car’s battery range. We use GPS-based trip data to determine use type-specific, GHG-optimized ranges. The dataset comprises 412 cars and 384,869 individual trips in Ann Arbor, Michigan, USA. We use previously developed algorithms to determine driver types, such as using the car to commute or not. Calibrating an existing life cycle GHG model to a forecast, low-carbon grid for Ann Arbor, we find that the optimum range varies not only with the drive train architecture (plugin-hybrid versus battery-only) and charging technology (fast versus slow) but also with the driver type. Across the 108 scenarios we investigated, the range that yields lowest GHG varies from 65 km (55+ year old drivers, ultrafast charging, plugin-hybrid) to 158 km (16–34 year old drivers, overnight charging, battery-only). The optimum GHG reduction that electric cars offer – here conservatively measured versus gasoline-only hybrid cars – is fairly stable, between 29% (16–34 year old drivers, overnight charging, battery-only) and 46% (commuters, ultrafast charging, plugin-hybrid). The electrification of total distances is between 66% and 86%. However, if cars do not have the optimum range, these metrics drop substantially. We conclude that matching the range to drivers’ typical trip distances, charging technology, and drivetrain is a crucial pre-requisite for electric vehicles to achieve their highest potential to reduce GHG emissions in personal transportation.     

Ecologically based hybrid life cycle analysis of continuously reinforced concrete and hot-mix asphalt pavements

An ecologically-based hybrid life cycle assessment model is used to evaluate the resource consumption and atmospheric emissions of continuously reinforced concrete and a hot-mix asphalt pavements. The cumulative mass and ecological resource consumption values are lower for continuously reinforced concrete, but the median values of cumulative energy and industrial energy consumption were lower for hot-mix asphalt. In addition, the use of reclaimed asphalt pavement results in a higher sensitivity for the ecological resource consumption of hot-mix asphalt compared to that of fly ash when use on the natural capital utilization of continuously reinforced concrete pavement. The cumulative and industrial exergy consumption values are significantly reduced with increases in reclaimed asphalt pavement and fly ash, and the use of low fuel transportation modes.