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DETECTION OF COTTON SHORT FIBERS RESULTING FROM BREAKAGE

机译:检测破损导致棉短纤维

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A technique was developed whereby a new cotton fiber property, the broken fiber fraction (BFF) by mass of bale cotton, could be calculated from measurements of the relative shape of the fiber length distribution. This physical approach differs fromexisting statistical-regression tools employed in cotton quality measurement. The method is based upon the assumption that any given cotton originates with a relatively longer and more intact native length distribution, and accumulates additional short (broken) fiber by degradation due to breakage-like processes during production into bale form. Accumulation of different levels of broken fiber for that cotton is (to some extent) simply the result of varying degrees of breakage inflicted, thus lending broken fiber fraction a special significance as a damage index for cotton processing. To make the calculations required in this work, a numerical model of fiber breakage was adapted from the mechanical processing of textiles (TRJ 70, 108). In the textile model, fiber breakage is deduced by measuring the length properties of fiber output from a process, and comparing them to like properties of the raw fiber being put into the system, under the assumption of conservation of fiber mass and length during eachbreaking event. Through this mathematical technique, observable changes in length distribution can be related to the fundamental nature of the physical breakage mechanisms inherent in the process. For bale cotton, the amount of broken fiber in a specific case was characterized by measuring the shape of the distribution of longer fibers in a particular bale sample, and then comparing it through the randombreak model to the known shape of a standard reference distribution. Since cotton length distributions are believed to approximate "broken" normal distributions, the general form of the reference distribution used was Gaussian by mass. This generalized approach was applied to Suter-Webb array data for bale samples of 164 medium-staple cotton cultivarsfrom a regional crop survey. Relationships between the broken-fiber fraction (BFF) and the short fiber content (SFC) of these cottons were analyzed.Although these commercial U.S. Upland cotton bales had a median short fiber content (SFC) of about 12 percent, the breakage analysis indicates that the corresponding median content by mass of broken fibers was over 54 percent. Because this procedure is basically a numerical calculation performed upon histogram data, it might be amenable to implementation as an automated tool for high-speed classing instruments.
机译:开发了一种技术,其中新的棉纤维性能,薄棉纤维分数(BFF)破碎的棉花棉花,可以根据纤维长度分布的相对形状的测量来计算。这种物理方法不同于棉质质量测量中采用的统计回归工具。该方法基于假设任何给定的棉花起源于相对较长且更完美的天然长度分布,并且由于在生产过程中由于制造过程中的破损过程而通过降级累积额外的短(破碎)纤维。棉花的不同水平的累积是(在某种程度上)仅仅是造成不同程度的破损的结果,因此将破碎的纤维级分是棉花加工损伤指数的特殊意义。为了使本作作品所需的计算,从纺织品的机械加工适应纤维破裂的数值模型(TRJ 70,108)。在纺织模型中,通过测量从过程中的光纤输出的长度特性来推导纤维破损,并将其与在整个纤维物质保存期间的纤维质量和长度保存的原始光纤的特性相同。通过这种数学技术,可观察到的长度分布变化可以与过程中固有的物理破损机制的基本性质有关。对于捆包棉,特定情况下的破碎纤维量的特征在于测量特定捆包样品中的较长纤维的分布形状,然后通过随机模型与标准参考分布的已知形状进行比较。由于据信棉长度分布近似“破碎”的正态分布,所用的参考分布的一般形式是高斯质量。将该广义方法应用于164个中钉棉品种的BALE样本的Suter-韦伯阵列数据,从区域作物调查中进行了164个中钉棉品种。分析破碎纤维分数(BFF)和短纤维含量(SFC)之间的关系。虽然这些商业美国旱地棉包具有约12%的中位短纤维含量(SFC),但断裂分析表明受破裂纤维的相应中值含量超过54%。因为该过程基本上是在直方图数据上执行的数值计算,所以它可能是作为高速分类仪器的自动工具的实现。

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