几种表面防护体系耐盐雾性能研究

目的通过对比试验室加速腐蚀试验结果,获得耐盐雾腐蚀性能最佳的表面防护体系。方法选用2024铝合金的几种不同表面防护体系,进行盐雾腐蚀试验。通过宏观腐蚀形貌和涂层失光率变化来分析判定表面防护体系耐腐蚀性能,获得抗腐蚀性能优异的表面防护体系。结果综合内外部防护体系宏观腐蚀形貌和失光率情况来看,阿洛丁氧化和所配套的三套涂层系统的盐雾适应性较差。结论内部防护体系推荐采用铬酸阳极化+10P4-X底漆防护体系;外部防护体系推荐采用铬酸阳极化+10P20-X底漆+ECL面漆防护体系。     

Morphology and composition of particles emitted from a port fuel injection gasoline vehicle under real-world driving test cycles

Traffic vehicles, many of which are powered by port fuel injection (PFI) engines, are major sources of particulate matter in the urban atmosphere. We studied particles from the emission of a commercial PFI-engine vehicle when it was running under the states of cold start, hot start, hot stabilized running, idle and acceleration, using a transmission electron microscope and an energy-dispersive X-ray detector. Results showed that the particles were mainly composed of organic, soot, and Ca-rich particles, with a small amount of S-rich and metal-containing particles, and displayed a unimodal size distribution with the peak at 600?nm. The emissions were highest under the cold start running state, followed by the hot start, hot stabilized, acceleration, and idle running states. Organic particles under the hot start and hot stabilized running states were higher than those of other running states. Soot particles were highest under the cold start running state. Under the idle running state, the relative number fraction of Ca-rich particles was high although their absolute number was low. These results indicate that PFI-engine vehicles emit substantial primary particles, which favor the formation of secondary aerosols via providing reaction sites and reaction catalysts, as well as supplying soot, organic, mineral and metal particles in the size range of the accumulation mode. In addition, the contents of Ca, P, and Zn in organic particles may serve as fingerprints for source apportionment of particles from PFI-engine vehicles.     

不同工况下轻型车油耗试验驾驶方式评价

在一台性能稳定的汽油车上由同一驾驶人员按平顺、粗暴和正常3种驾驶方式分别进行NEDC （新欧洲行驶工况）、FTP75（美国认证工况）以及WLTC （世界统一轻型车测试循环）工况油耗试验,采用能量变化率（ER）、距离变化率（DR）、能量经济性变化率（EER）、绝对速度改变率（ASCR）、速度平方根误差（RMSSE）以及惯性做功改变率（IWR）6个指标作为驾驶质量评价指标,通过分析计算每次试验各项评价指标及其与燃料消耗量变化的相关性,确定了油耗试验驾驶方式的合理性边界条件.结果表明,对于WLTC和FTP75工况,平顺驾驶和粗暴驾驶均会导致评价指标变大或者变小,驾驶方式与评价指标呈规律性变化;对于NEDC工况,不同的驾驶方式对NEDC工况油耗影响较小.油耗试验的边界条件,WLTC工况的EER为（0.25±0.47）%、ASCR为（1.20±0.97）%、RMSSE为（0.85+0.15）km/h、IWR为（2.15±1.27）%时,可认为油耗试验的驾驶方式较为合理;FTP75工况的EER为（-0.09±0.69）%、ASCR为（-0.59±0.42）%、RMSSE为（0.88+0.34）km/h以及IWR为（-0.69±1.66）%时,油耗试验的驾驶方式较为合理.     

某型橡胶减振器的加速老化寿命试验研究

目的对某型橡胶减振器进行加速老化试验研究,利用试验数据评估得到产品的贮存寿命。方法采用恒定应力加速试验方法,分四个温度应力量级,对橡胶减振器的压缩永久变形试样开展加速老化试验,获得试样的退化数据。对试验数据进行分析计算,评估得到橡胶减振器材料的贮存寿命。结果通过评估,得到该型减振器材料的贮存寿命能够达到12.36年,置信度大于0.99。同时利用减振器真实产品的老化试验验证了寿命评估结果。结论以温度为敏感应力,采用恒定应力加速贮存试验方法,可以在短时间内快速获得置信度较高的材料常温贮存寿命,结合真实产品验证评估结果,为类似产品的寿命预测提供支撑。     

直升机机载产品环境鉴定试验故障分析

目的探究机载产品在鉴定试验阶段故障频发的原因,并改进机载产品研制流程中的不足之处。方法收集某型直升机机载产品50项环境鉴定试验故障,并对环境试验故障进行分析。结果环境试验故障主要为三防及振动试验故障,其故障发生的原因主要为材料及表面处理方法选用不当、设计缺陷和质量控制程序不够严格。结论针对该分析结果提出机载产品在设计过程中,需要通过尽早安排环境研制性试验、建立环境数据库、模拟仿真进行环境适应性设计和加强质量管理等措施,避免机载产品在鉴定试验阶段故障频发的问题。     

圆环巴西试验的抗拉强度建议公式

目的改进Hobbs公式得到的计算值普遍较大这一问题,提出圆环巴西试验的抗拉强度建议公式。方法对巴西试验圆环的应力解进行分析,并引用砂岩的试验数据验证。结果得到圆环巴西试验的抗拉强度建议公式,使用Hobbs公式得到的抗拉强度σTT比巴西圆盘试验σT大6倍以上,利用建议公式得到的抗拉强度σθ与巴西圆盘试验σT十分接近,误差不到1%。结论当圆环内外径比ρ在0.05到0.15的范围内时,该建议公式可很好地用来计算岩石类等脆性材料的抗拉强度。     

金属材料腐蚀疲劳研究进展

首先归纳了金属材料的腐蚀疲劳裂纹萌生机理和扩展机制,从材料自身因素、外界力学因素和环境因素三方面分析了腐蚀疲劳影响因素,简要介绍了环境腐蚀-疲劳载荷交互试验和环境腐蚀-疲劳载荷协同试验研究现状及重要性,并展望了金属材料腐蚀疲劳今后研究的重要方向,为金属材料腐蚀疲劳的试验开展、机理探索和工程应用奠定基础。     

某型号无人机环境试验技术策划

根据某型无人机结构特性与使用环境,对其气候环境与力学环境试验进行技术策划,确定其环境试验内容、试验条件与方法。采用经验总结与气候、力学环境载荷分析的方法,分析环境因素对无人机工作可靠性的影响和该型无人机飞行环境,总结工作使用状态下的环境载荷,并确定其气候与环境试验内容、条件与方法。总结确定了该型无人机的主要环境载荷,确定了该型无人机环境试验项目与试验条件,并最终进行了环境可靠性试验实施。     

大型气候实验室气流组织仿真分析

目的对大型气候实验室气流组织进行仿真分析,获得合理的气流组织设计方案。方法首先通过分析旋流风口的特性,建立旋流风口CFD简化模型,然后设计大型气候实验室气流组织形式,最后对极端低温和极端高温工况下不同温度、送风量和送风角度时的气流组织进行CFD仿真分析。结果低温工况时,地面温度升高将导致室内温度和温度不均匀度整体上升;高温工况时,气流难以抵达地面,且地面温度对高度5 m以下区域有显著影响,对5 m以上空间影响不显著,应增大送风角度,使送风射流方向尽可能向下,以改善地面附近温度均匀性。结论气流组织仿真分析方法和气流组织设计方案适用于大型气候实验室设计。     

Global Warming and Global Dioxide Emission: An Empirical Study

In this paper, the dynamic relationship between global surface temperature (global warming) and global carbon dioxide emission (CO₂) is modelled and analyzed by causality and spectral analysis in the time domain and frequency domain, respectively. Historical data of global CO₂emission and global surface temperature anomalies over 129 years from 1860–1988 are used in this study. The causal relationship between the two phenomena is first examined using the Sim and Granger causality test in the time domain after the data series are filtered by ARIMA models. The Granger causal relationship is further scrutinized and confirmed by cross-spectral and multichannel spectral analysis in the frequency domain. The evidence found from both analyses proves that there is a positive causal relationship between the two variables. The time domain analysis suggests that Granger causality exists between global surface temperature and global CO₂emission. Further, CO₂emission causes the change in temperature. The conclusions are further confirmed by the frequency domain analysis, which indicates that the increase in CO₂emission causes climate warming because a high coherence exists between the two variables. Furthermore, it is proved that climate changes happen after an increase in CO₂emission, which confirms that the increase in CO₂emission does cause global warming.