关于H_φ~1(R~n)的几点注记

Uchjyama-Wilson证明了存在φ∈L~1(R~1)∩L~∞(R~1)使得0(?)H_φ~1(R~1)(?)H~1(R~1)。本文把他们的结果推广到了高维。     

二种渗透式纤维空气分布系统的布风管送风特征

为设计适合室内舒适送风的布风管,采用FLUENT数值模拟软件,模拟尾部封闭不透风与尾部渗透通风2种模式下的布风管,研究对比内部流场的速度与压力变化。结果表明:尾部封闭式布风管中心速度变化从4 m/s降到0,尾部形成涡流;尾部渗透式布风管中心速度变化从4 m/s降到2.5 m/s,尾部中心风速较大;沿着布风管轴向前进,尾部封闭式布风管的纤维壁面出风速度逐渐减小,出风速度范围为0.15~0.4 m/s;尾部渗透式布风管的纤维壁面出风速度比较均匀,出风速度范围为0.28~0.4 m/s。纤维壁面出风方面,尾部渗透式布风管比尾部封闭式布风管更均匀,二者均无吹风感,满足室内人体舒适性要求。     

变异系数的抽样分布

对变异系数进行有效估计和检验可以应用于既有结构的可靠性、保险理论及医院统计等方面.构造了一种含变异系数ν=σ/μ的抽样分布,通过对这种含变异系数的抽样分布的研究,为变异系数的区间估计和小样本检验提供理论依据.     

静电纺纤网纤维取向分布的测量程序设计

在对静电纺丝网的扫描电镜图片进行滤波等预处理的基础上,使用LabVIEW软件编程,通过处理转动不同角度后的图片来对纤维的取向分布进行测量.所编测量程序可独立运行于个人计算机,具有方便、有效、直观等特点.     

基于纤维长度根数分布的精梳加工模拟及棉网质量预测

为了实现精梳质量的预测及精梳工艺的智能设计,采用Monte Carlo随机模拟的方法,对给定纤维长度分布（根数）的棉卷进行精梳加工计算机模拟,得到工作周期内不同阶段的棉丛形态及输出棉网根数不匀CV 值。讨论了不同工艺参数下的模拟结果,结果表明：分离罗拉顺转定时为14.5、15.5分度时,输出棉网的不匀值较小;落棉隔距增大,输出棉网的不匀小幅度增长;给棉长度在4.7∽ 5.9 mm之间增加时,输出棉网的不匀轻微恶化,模拟结果与此前的实验研究结论有良好的相关性,模拟加工的方法更适用于纤维长度分布（根数）经常变化的棉卷精梳过程研究。     

基于棉纤维长度根数分布的精梳机梳理效能分析

使用概率密度函数的基本原理,对3个纤维长度根数分布密度函数（精梳机输入小卷根数分布和落棉与精梳条的纤维长度根数分布）进行比较,导出纤维长度根数分布在梳理过程中改变的规律。讨论输入和输出纤维长度根数分布应该满足的条件。利用求解线性方程组的方法计算并得到精梳机梳棉效能的表征曲线。结果表明,利用纤维的长度根数分布计算方法能够较好地对精梳机工作效能进行细致的评价。进一步探讨纤维在梳理过程中发生断裂的表征方法,提出一种能够反映纤维在梳理中断裂程度的指示量。利用这些结论可以对精梳机加工过程进行优化并估计纤维在加工中的断裂情况,为精梳工艺设计提供重要的依据。     

日本千年2号茄子盐渍工艺的研究

茄子在盐渍过程中易出现褐变(黄头)、胀鼓、花斑等品质劣变现象。本文对影响茄子盐渍品质的众多因子进行了详细研究,得到了保证其品质的最佳工艺方案。结果表明,日本千年2号茄子盐渍的最佳工艺条件为2%底水(以池子体积计),底水中加入0.03%柠檬酸和0.65%明矾,单位面积压石重为茄重的0.6倍,拌盐配方为5%食盐和0.65%明矾(以茄重计)。      

4m阶多重全等子母数方

构成了8,12,16,32阶多重全等子母方,并略论其演变。     

Calculated molecular weight distribution for glutenin

The size distribution of linear glutenin molecules has been calculated using standard theory of high polymers. If the degree of polymerisation (DP) is defined as the number ofsubunits in a molecule, the DP distribution is expressed by a single variable, b, the reciprocal of the number-average DP. For a DP of i, the weight- and number-fractions are, respectively, ib²(1?b)^i?1. and b(1?b)^i?1. The weight-average DP is (2/b)?I. The distribution is identical with that produced by random degradation of an infinite molecule (b being the fraction of interchain disulphide bonds broken). The distribution predicts that there would be a significant amount of low mol. wt material: this is so in practice, such material being soluble in aqueous ethanol. The shape of a calculated curve corresponds, at least qualitatively, to those in the literature obtained by gel filtration when allowance is made for the mol. wt axis being on a logarithmic scale, for the longest molecules emerging together in the excluded peak and for diffusion. These experimental curves show that monomers are not the commonest species by weight (unless half gliadin consists of monomeric glutenin). This implies that glutenin has a linear, not a branched, molecule.     

混合Weibull分布在棉纤维长度分布表征上的应用

利用含参数的概率密度函数来表征棉纤维的长度分布,不仅有利于纤维长度指标的计算,而且能够全面度量纤维的长度分布状态。本文基于USTER 的AFIS单纤维测试仪测得的纤维长度分布直方图,依据现有的混合Weibull分布模型,选用两组分与三组分的混合分布对其进行了拟合,并计算了相应的长度指标。结果表明：利用Weibull分布构建的混合分布模型能很好地拟合棉纤维的重量及根数加权长度分布。此外,通过指标计算值与实测值的对比,一般情况下二组分混合模型优于三组分模型。     

Normalized Weibull distribution for modeling rehydration of food particulates

Dehydrated food particulates have a rapidly growing market, and their reconstitution is essential in meeting consumers' expectations. Optimal reconstitution properties can be achieved by controlling the drying process and the rehydration conditions. Fundamentals of transport phenomena, particularly diffusion, external resistance and relaxation are some of the mechanisms governing water uptake during rehydration. The Weibull distribution is applied in many biological systems, and was found valuable in the modeling of the rehydration process. Simulation and experimental data showed that the traditional Weibull distribution should be normalized to account for product geometry, thickness and final water content. The Weibull -shape parameter varied with geometry and the mechanism of water uptake. The derived values for spheres, cylinders and slabs were for diffusion: 0.67, 0.72 and 0.81 respectively; for internal resistance: 1.00, 0.98 and 0.97 respectively; and for relaxation: 1.21, 1.32 and 1.60 respectively. The Weibull distribution provides an insight into the rehydration phenomena that govern water uptake by foods containing particulates during rehydration, and could be used for differentiating between diffusion, external resistance and relaxation processes.