合金元素对球铁焊接接头白口倾向的影响

通过改变焊条药皮成分，系统地研究了C、Al、Si、Bi对球铁焊接接头半熔化区白口宽度的影响。研究结果表明，在一定范围内增加焊缝中C、Al、Si或Bi的含量，有利于减少半熔化区白口的宽度，若将适量的上述元素同时加入，则白口宽度可降至1．8mm。由此可见，在球铁焊缝中加入适量的多元合金元素，是降低半熔化区白口宽度、改善焊接接头加工性能的重要途径。     

激光焊接技术在载货车驾驶室顶盖柔性制造中的应用研究

将激光焊接技术应用在载货车驾驶室试制中的柔性制造，利用进口的三维五轴CO2激光加工机成功地完成了大型三维驾驶室顶盖激光对接焊，试制的顶盖完全达到产品图纸要求。研制了顶盖激光切割、焊接专用夹具，并针对车身常用裸板和镀锌钢板进行了工艺试验。     

回收粉在环氧沥青混凝土中的应用研究

大跨径钢桥面铺装用环氧沥青混凝土对集料有很高的要求。通过室内试验和实际生产验证。分析环氧沥青混凝土生产中使用回收粉的可行性，并结合具体工程给出使用量。     

纯电动汽车轻量化机舱支架总成优化与验证

为了满足纯电动汽车轻量化的需求,针对长安某纯电动汽车结构功能件机舱支架总成进行了复合材料轻量化开发,基于性能及成本因素选用了片状模塑料(sheet molding compound,SMC),对该SMC机舱支架总成进行了CAE分析及台架疲劳振动试验,根据试验分析结果进行了分析模型及结构优化,并对优化后的SMC机舱支架总成进行了试验验证.研究结果表明,悬挂重量对复合材料机舱支架总成的性能有较大影响,CAE建模应体现悬挂重量,分析模型及结构改进后的SMC机舱支架总成可以满足强度及疲劳耐久要求;相对于金属机舱支架总成,SMC部件可以实现2 kg,减重率为31.3％,轻量化效果明显,SMC部件成本相对于金属部件成本只增加20元,每公斤减重的成本为10元,成本增加可以接受,具有大批量应用前景;应用SMC复合材料,可以大量减少生产工序,取消焊接流程,能够明显降低能源消耗,同时降低了排放和资源消耗,符合国家节能环保政策,为纯电动车及汽车结构功能件轻量化开发提供了一个很好的方向.     

Analysis of the effectiveness of control measures to mitigate road dust emissions in a regional network

The effectiveness of control measures to reduce road dust emissions is analyzed using a year’s data of road dust emissions collected with a mobile sampling platform and a survey of road maintenance practices in the Lake Tahoe Basin of Nevada and California US. Attributes such as sweeping practices, anti-icing, shoulder improvement, pavement condition, trackout, and abrasive material from road segments were analyzed with a feature subset selection algorithm. Street sweeping was found to be an effective means of controlling dust emissions from roads. Road dust from dirty tertiary roads served as a continuous source of suspendable material for adjacent high-speed roads in the winter time. To be most effective, emission control strategies require that not only primary roads, but all roads be swept after snow storms to recover applied abrasive material.     

Fast Ferry Smoothing Motion via Intelligent PD Controller

A novel type of control law was adopted to reduce the vertical acceleration of a fast ferry as well as the motion sickness incidence suffered by the passengers onboard by means of a submerged T-foil. Considering the system changing characteristics under high disturbances, a model-free approach was adopted. In addition, an upgraded proportional-derivative (PD) controller with correction terms resulting from a fast-online estimation of the system dynamics was designed. The overall controller, known as intelligent PD (i-PD) controller, was tested, and the obtained results were compared with those of a classic PD controller. The controllers were also tested in a changing environment and at different operating velocities. The results confirmed the effectiveness of the i-PD controller to smooth the motions with low computational cost control schemes. Furthermore, thanks to ability of the i-PD controller to continually update the estimated dynamics of the system, it showed a better reduction in both vertical motions and the seasickness level of the passengers with the needed robustness under external disturbances and system changing parameters.     

深圳地铁永磁同步牵引系统研究分析

牵引传动系统是轨道交通车辆装备实现机电能量转换的“心脏”单元,其性能在某种程度上决定轨道交通车辆的动力品质、能耗和控制特性,是轨道交通车辆节能升级的关键系统。而永磁同步牵引系统以其高效率、高可靠性和低能耗的优势特点,受到轨道交通行业的密切关注。文章阐述深圳地铁10号线永磁同步牵引系统批量装车概况,重点分析永磁同步牵引系统组成及优势,指出推广应用永磁同步牵引系统的经济和社会效益显著。     

Real-Time Fault Diagnosis for Gas Turbine Blade Based on Output-Hidden Feedback Elman Neural Network

In order to remotely monitor and maintain large-scale complex equipment in real time, China Telecom plans to create a total solution that integrates remote data collection, transmission, storage, analysis and prediction. This solution can provide manufacturers with proactive, systematic, integrated operation and maintenance service, and the data analysis and health forecasting are the most important part. This paper conducts health management for the turbine blades. Elman neural network, and improved Elman neural network, i.e., outputhidden feedback (OHF) Elman neural network are studied as the main research methods. The results verify the applicability of OHF Elman neural network.     

荧光法测叶绿素在压载水检测中的应用及前景

荧光法是一种被行业公认的检测压载水中叶绿素含量最有效的方法,已被广泛应用于压载水检测领域,此方法也显示出了极大的发展前景和应用价值。提出了一种新型的叶绿素检测仪器,经过一系列的试验,验证了此仪器的实用性、精确性和有效性。并分析了此技术的前景,为未来的发展提出了方向和展望。