共轨蓄压式电控喷油器的泄漏分析与试验

全面分析了共轨蓄压式电控喷油器的泄漏部位及影响因素,进行了静态和动态的密封性试验。试验结果验证了电控喷油器的设计精度与加工工艺的合理性。     

共轨喷油器高速电磁阀的开发

分析了国内外共轨系统高速电磁阀的开发现状,确立了开发目标,从电磁材料和线圈结构等方面对共轨喷油器上高速电磁阀进行了分析和设计,通过优化试验确定了线圈参数,并给出了测试结果。     

沥青地库探索

应用导热油加热技术在中国已经发展了10多年,随着该技术的发展,地库也开始作为沥青贮仓.针对采用地库作为导热油加热沥青的这一技术,对地库的用热设备、导热油供热系统及沥青加热所需热量计算做了介绍.     

车用柴油机电控开发系统的软,硬件设计及应用

本文研制了一种新的发动机电 控燃油系统的开发系统的微机测控系统。     

沥青混凝土搅拌机燃用重渣油的尝试

为降低沥青混凝土搅拌机的生产成本,采用ZZR重渣油燃烧机替代柴油燃烧机取得了很好的经济效益,给出了燃渣油时渣油含水及油路阻塞的判断方法,并介绍了出现故障的排除方法.     

某散货船试航中主机滑油低压故障的排除

文章分析了某散货轮在试航中主机多次出现因滑油低压而报警停车的故障现象,并将该故障出现的原因及排除过程进行了总结和思考,以期为船厂、船东以及试航的相关人员提供参考。     

5000 PCC“SHANGHAI HIGHWY”船主机启动分析与处理

分析5 000 PCC"SHANGHAI HIGHWAY"船主机伺服油压低引起主机启动故障的原因、介绍调查与处理过程,在实施了恰当的处理方法后,解决了问题。以期为类似问题的处理与解决提供借鉴和参考。     

Experimental investigation of evaporation rate and exhaust emissions of diesel engine fuelled with cotton seed methyl ester and its blend with petro-diesel

An experimental study to measure the evaporation rates, engine performance and emission characteristics of cotton seed biodiesel (cotton seed oil methyl ester) and its blends in different volumetric proportions with diesel is presented. The thermo-physical properties of all the fuel blends have been measured and presented. Evaporation rates of neat cotton seed biodiesel, neat diesel and their bends have been measured under slow convective environment of air flowing with a constant temperature. Evaporation constants have been determined by using the droplet regression rate data. The neat fuels and fuel blends have been utilized in a test engine with different load conditions to evaluate the performance, combustion and emission characteristics of the fuels. The specific fuel consumption values of the two blends, viz. B25 and B75 are found to be same. At the highest load, B0 records the lowest CO volume followed by B100. From the observed evaporation, performance and emissions characteristics, it is suggested that a blend of B50 and B75 can be optimally used in standard diesel engine settings.     

基于Matlab油船意外泄油性能的程序设计

基于概率方法的意外泄油性能参数计算是2010年1月1日及以后新造船破舱稳性需要评估的性能之一,满足一定的衡准要求方可。根据油船的分舱分别进行船底破损概率和船侧破损概率的插值,然后按照一定的公式求出船底破损后与船侧破损后的泄油量的加权之和,即意外泄油性能参数。由于手工计算费时费力,文章基于Matlab平台,开发了意外泄油性能参数的自动计算程序模块。计算结果与文献结果相比较,证明了本程序的计算精度,具有较好的工程实用价值。     

Strain prediction for critical positions of FPSO under different loading of stored oil using GAIFOA-BP neural network

FPSO (floating, production, storage and offloading) units are widely used in the offshore oil and gas industry. Generally, FPSOs have excellent oil storage capacity owing to their huge oil cargo holds. The volume and distribution of stored oil in the cargo holds influence the strain level of hull girder, especially at critical positions of FPSO. However, strain prediction using structural analysis tools is computationally expensive and time consuming. In this study, a prediction tool based on back-propagation (BP) neural network called GAIFOA-BP is proposed to predict the strain values of concerned positions of an FPSO model under different oil storage conditions. The GAIFOA-BP combines BP model and GAIFOA which is a combination of genetic algorithm (GA) and an improved fruit fly optimization algorithm (IFOA). Results from three benchmark tests show that the GAIFOA-BP model has a remarkable performance. Subsequently, a total of 81 sets of training data and 25 sets of testing data are obtained from experiment using fiber Bragg grating (FBG) sensors installed on the surface of an FPSO model. The numerical results show that the GAIFOA-BP is capable of predicting the strain values with higher accuracy as compared with other BP models. Finally, the reserved GAIFOA-BP model is utilized to predict the strain values under the inputs of a 10-day time series of volume and distribution of stored oil. The predicted strain results are further used to calculate the fatigue consumption of measurement points.