803E掘进机刀盘振动问题浅探

 大伙房引水隧道工程TBM2标采用德国Wirth公司型号为803E的掘进机。掘进过程中刀盘振动问题较为严重，导致联接螺栓超常松动和联接部件裂纹，影响了施工进度和设备的完好率。从该机主机受力结构的动刚度以及刀盘结构形式方面浅探该机刀盘振动问题，并与Robbins公司掘进机的主体结构进行比较，试图提出选型和设计方面的建议。     

Pro/E技术在工程机械仿真设计中的应用

为提高现有工程机械制造企业的产品设计水平,进行了新的工程机械设计理论方法的探索与研究。充分运用Pro/Engineer的三维实体造型与参数化设计技术,并结合实际零部件尺寸,完成了工程机械传动机构与行走机构中齿轮零件的参数化仿真设计及轮边减速系统的虚拟装配设计。这种方法有效地提高产品的设计效率和可靠性,并提出最佳设计方案,为完成工程机械整机的仿真设计、零件有限元分析提供了技术支持。     

SS7E型电力机车平稳性问题的原因分析及改善

主要对SS7E型电力机车的油压减振器与轴箱拉杆对机车的影响进行分析与研究，并对其进行跟踪性试验，提出了对机车平稳性能改进的方案，并在机车上运用，获得了较好的效果。     

基于 GJB7691-2012的通用数字示波器自动检定关键技术的研究*

作为一款时域电子测试仪器,示波器在科研、电力、医疗等多个方面得到了广泛的应用,随着计算机技术的不断进步,性能强大的数字示波器应运而生,同时,自动控制技术的普及使得数字示波器自动校准检定成为可能。论文以最新的数字示波器检定规程GJB7691‐2012为基础,针对新规程在检定与计算方法上的调整进行了分析,结合虚拟仪器与数据库技术完成了一种基于FLUK E9500B的通用数字示波器自动检定系统的设计,并就其关键技术进行了研究,同时通过试验结果比较验证了该方案的可靠性与可行性,并在计量工作中得到应用。     

现代设计方法在某后桥用轮毂设计中的应用

轮毂是汽车承载的最重要的安全部件之一,受力复杂。本文基于现代设计方法,利用PRO／E软件建立轮毂的三维实体模型,通过Hypermesh及ABAQUS软件综合完成轮毂的有限元分析,最终确定某后桥用轮毂结构,并为后续该轮毂的优化设计提供了一定的理论依据。     

汽车行驶记录仪的原理与应用

介绍一种能够为车辆管理提供科学平台的汽车行驶记录仪的概念、特点和基本原理,详细阐述汽车行驶记录仪在斯太尔汽车上的应用。     

基于Pro/E塑料顾问分析的塑料盒盖注射模具设计

针对传统模具设计的弊端,提出了采用模流分析技术对模具进行优化设计的思想。以Pro/E塑料顾问为平台,以塑料盒盖零件为实例,对其浇口位置进行计算机模拟分析,并在此基础上对塑料产品进行注射成型工艺模拟分析。综合分析结果有针对性地优化模具设计方案,避免了设计中的盲目性,提高了塑料产品的成型质量,减少了缺陷的产生,降低了生产成本,缩短了生产周期。     

挖掘机动臂结构模态分析

运用Pro/Mechanica软件对挖掘机动臂结构进行模态分析,得到了挖掘机动臂模态的各阶频率与振型及挖掘机动臂的模态频率与挖掘机发动机工作频率之间的关系;通过与针对性试验结果进行比较,验证了Pro/Mechanica结构分析结论的可靠度。     

TB880E型掘进机应用研究

由铁道部出资7．3亿元购置的2台TB880E型掘进机，先后完成了秦岭特长Ⅰ线隧道、磨沟岭隧道、桃花铺1号隧道的掘进任务，累计掘进长度22162m。这2台掘进机自2002年工程完工后，维修、保养、存放至今。TB880E型掘进机的正常使用寿命应在8000台班左右，可以完成35～40km隧道的掘进任务。此文结合秦岭特长隧道、乌鞘岭特长隧道施工方案，对掘进机与钻爆法的优缺点进行对比分析，探讨TBM剩余寿命期的利用问题，以期为今后选择合理的隧道建设方案提供参考。     

Surface chlorophyll in the Black Sea over 1978–1986 derived from satellite and in situ data

Absolute values of chlorophyll a concentration and its spatial and seasonal variations in the Black Sea were assessed by using satellite CZCS and in situ data. Since the satellite CZCS had operated for the 1978–1986 period, CZCS data was used for assessing the past state of the Black Sea just before the onset of drastic changes observed in late 1980s. The approach used for the calculation of the absolute values of chlorophyll a concentration from CZCS data was based on the direct comparison of in situ chlorophyll a data and those of CZCS and by applying the algorithm developed for the transformation of CZCS data into chlorophyll a values. CZCS Level 2 data related with pigment concentration having a spatial resolution of 1 km at nadir were used. The daily Level 3 files were derived by binning Level 2 values into 4-km grid cells and the monthly and seasonal Level 3 files were created by averaging the daily Level 3 files over the corresponding period. In situ chlorophyll a data were obtained by spectrophotometric and fluorometric methods in 15 scientific cruises over the 1978–1986 period. Total number of ship-measured data used for the comparison with those CZCS values was 590.Chlorophyll a concentration (Chl) was derived from CZCS values (C) with regression equations Chl=kC; the coefficient of transformation k was calculated from six different data sets by taking into account distinctions between subregions and seasons. The reasons for difference in the k values have been analyzed.Statistical comparison of the chlorophyll a values measured in situ and those derived from CZCS data was based on log-transformed data and gave the following results: regression SLOPE=0.842, regression INTERCEPT=−0.081, coefficient of determination (R²)=0.806, root–mean–square ERROR=0.195. The mean monthly chlorophyll a distributions derived from CZCS data over 1978–1986 have been constructed and the mean seasonal chlorophyll a values in different regions have been calculated and analyzed. The significant difference in chlorophyll concentration between the western shelf regions and the open part of the Black Sea has been demonstrated, especially in warm season. At almost all seasons, the highest chlorophyll concentration is observed in the western interior shelf region which is under strong influence of Danube. The summer mean chlorophyll concentration in this region is 18 times higher than that in the open parts and about nine times higher than in the eastern shelf region. The greatest seasonal variations are observed in the open part of the Black Sea: chlorophyll concentration in cold season is four to six times higher than in summer and three to five times higher than in April and October. To the contrary, in the western interior shelf regions, the concentration is higher in May–October (about twice than that in November–March). Seasonal variations in the western outer shelf regions are smoothed out as compared with both the western interior shelf and the open regions.