基于马尔文激光粒度分析仪的生物质燃油雾化特性研究

采用马尔文激光粒度分析仪,研究了生物质燃料的雾化特性,并分析了气液质量流量比、沿喷孔轴向距离、径向距离、液体的表面张力系数以及液体的粘性系数等参数对生物质燃油雾化特性的影响。通过试验发现,气液质量流量比和沿喷孔轴向距离是影响索特平均直径的最主要因素;且在相同的雾化条件下,生物质燃油雾化质量最差,生物质燃油和醇类的混合燃料的雾化质量较好,而柴油的雾化质量最好。     

燃烧加热污染空气对超燃冲压发动机性能影响研究

针对燃烧加热地面试验设备存在的工质污染问题,采用数值模拟方法研究了燃烧加热污染空气对氢燃料超燃冲压发动机性能的影响。以飞行马赫数Ma=6.5,当量油气比ER=0.6为计算基准状态,分别对纯净空气和污染空气来流下氢燃料超燃冲压发动机的整机流场和性能进行了对比计算分析。燃烧化学反应模拟采用了改进的H₂/O₂七组分八方程模型,湍流模型为标准的 k-ε模型,并采用直连式燃烧室试验数据进行了数值方法的验证。研究结果表明:(1)相对于纯净空气来流,污染空气来流下的超燃冲压发动机推力和比冲均有所下降。(2)采用酒精燃烧加热器的前提下,来流参数匹配静温、静压、马赫数时,发动机性能与纯净空气来流下的结果最为接近,而匹配总温、总压、马赫数时相差最大。(3)来流参数匹配总焓、静压、马赫数的前提下,采用氢燃烧加热器时发动机性能与纯净空气来流下的结果最为接近,而采用甲烷燃烧加热器时相差最大。      

基于BP神经网络的柴油发动机特性建模

建立连续的发动机燃油特性和调速特性数学模型作为液压机械无级变速器虚拟试验平台的动力源。根据虚拟平台对不同特性区域的精度需求对柴油发动机不同特性区域的试验数据进行不同的密度选取、乱序和归一化处理,采用单隐层BP神经网络对试验数据进行训练,对比不同隐层节点数网络的训练误差和测试误差,选取误差最小的网络,求解出网络的数学表达式。通过该方法以ISLe310柴油发动机为例建立燃油特性和调速特性的连续数学模型,这两个简单的数学表达式准确反映了发动机万有特性和外特性,连续模型避免了虚拟试验中出现信号的突变和奇异点。通过和经典的最小二乘法拟合得到的最优特性模型进行对比,其具有更小的误差、更强的泛化能力,能够更好地反映柴油发动机的相关特性。     

Basic handling characteristics of wood fuels: Angle of repose,friction against surfaces and tendency to bridge for different assortments

Basic handling characteristics were measured for sawdust, fuel pellets, fuel chips, hog fuel and chunkwood. The aim was to find relations between the basic handling characteristics and easily measurable fuel properties to facilitate the design of feeding systems in heating plants. The angle of repose was 25–55° and increased with the increasing ratio of particle length to thickness and with the increasing content of hooked or long particles. The angle of static friction, 10–40°, was affected more by the kind of surface than the fuel and followed the ascending order: coated plywood, urethane rubber, particle board, stainless steel, concrete and rubber belt conveyor. The tendency to bridge varied considerably and increased with greater content of hooked or long particles, a deeper fuel bed depth over the opening and a higher moisture content. The results indicate that more attention should be paid to the particle shape.     

Fuel consumption as indicator of the economics in mechanization

After a brief discussion of production functions as models for input/output relations in forest work operations, studies of the cost of machine use are reviewed. It is suggested that the fuel consumption of a forest machine can be used as a parameter for assessing the true, total cost of using a machine, exclusively the wage of the operator. Fuel then is not only an input but also represents all other cost items such as capital (depreciation, interest), repairs and maintenance. This has the advantage that all machines in a system can be aggregated and their costs assessed by an easily quantified parameter. Capital (in the form of machines) in production functions, through which the optimum mix of labour and machines for minimizing the cost per unit of production is determined, can be substituted by fuel. It is also suggested that fuel consumption can be used in management as an aggregate indicator in planning, control, remuneration of work and forecasting.     

Treatment of cow-waste slurry by a microbial fuel cell and the properties of the treated slurry as a liquid manure

Resource recycling and the proper treatment of animal waste to reduce its environmental impact are currently important issues for the livestock industry. A microbial fuel cell (MFC), a new type of bioreactor, is expected to play roles in both waste‐water purification and energy recovery. However, the generation of electricity from cow waste has not yet been examined. In this study, using an MFC, we examined the possibility of generating electricity from dairy‐cow waste slurry, and analyzed the properties of the treated slurry as liquid manure for resource recycling. The MFC treatment of the slurry generated electricity in a dose‐dependent manner, and the maximum power output by the MFC from a 1 g of chemical oxygen demand/L slurry was 0.34 mW/m². After the MFC treatment, 84% of the biological oxygen demand in the slurry was removed and three essential fertilizer elements (nitrogen, phosphorus, and potassium) were retained at 84, 70, and 91% levels, respectively. The amount of ammonia nitrogen in the slurry, as an element of fast‐release fertilizer, was increased by 1.9‐fold. Although the treated slurry displayed properties that made it preferable as liquid manure, further studies to improve the electrical power output by the MFC are required for practical use.     

Effect of Freezing Snow Disaster on Forest Fuel and Fire Behavior in Southern China

After freezing snow disaster,stands of Pinus massoniana,Cunninghamia lanceolata. Liquidambar formosana,Cinnamomum camphora and Phyllostachys pubescens and new burned areas in Hunan Province were surveyed by setting field plots.Moisture content and fuel load were measured by sampling and fire behavior(such as rate of fire spread) was calculated.The results showed that fuel load got doubled instantly,fuel thickness enhanced,fuel continuity swelled and water content of fuel decreased as shrubs and herbs die...     

YL2208CW型农用运输车主传动比的模糊优化

作者在建立Ｙ１２２０８ＣＷ型农用运输车动力性与燃油经济性模拟计算方法的基础上，应用模糊数学方法优化农用运输车的主传动器速比，获得了最佳燃油经济性。     

无级变速拖拉机跃度最优化调速控制

针对无人驾驶拖拉机加减速导致的作业平稳性低和燃油经济性差等问题，该研究基于CVT（constantly variable transmission，无级变速传动）拖拉机，设计了一种基于贝尔曼最优性原理的最小跃度多项式局部速度规划算法。基于贝尔曼最优性原理和最优控制思想设计全局规划目标、局部规划目标及约束，提出基于最小跃度多项式的局部速度规划算法并开发速度跟随控制系统。田间试验表明，相对于无最优化调速技术的对照组，U型掉头的速度误差平均值和均方根分别降低42.31%和50.75%，加速度平均值与方差分别降低8.26%和16.36%，跃度平均值与方差分别降低7.65%和14.23%，发动机转速方差降低63.36%，发动机扭矩百分比方差降低60.26%，瞬时油耗方差降低71.25%，总油耗降低2.37%。直线行驶调速效果呈现相同趋势，与对照组相比，速度误差平均值和均方根分别降低9.45%和11.14%，加速度平均值与方差分别降低6.03%和13.68%。跃度平均值和均方根分别降低1.55%和3.59%。发动机转速方差降低31.78%，发动机扭矩百分比方差降低25.13%，瞬时油耗方差降低31.82%，总油耗降低2.48%。所提方法满足无级变速拖拉机无人驾驶速度平稳切换需要，并提高了燃油经济性。     

Monitoring Forest Fire with MODIS-NDVI Images in Beijing

INTRODUCTION The moisture content of fuel is a critical parameter in fire ignition because flammability is closely dependent on it (Dimitrakopoulos et al. 2001). Dead fuel lying on the forest floor (fallen branches, litter, foliage) is the most dangerous because it is drier than live fuel and more dependent on rapid atmospheric changes. The moisture content of live fuel plays a marginal role in fire ignition, but it is critical in fire propagation modeling because the amount of water is d…