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为明确不同长绒棉纤维适纺性能及不同纺纱方式下的成纱质量，以新疆5个长绒棉品种（系）（新海35号、新海53号、新海57号、丰海8号、丰海7号）的纤维为原料，采用普通环锭纺和紧密纺2种纺纱方式，纺100S纯长绒棉纱，并对成纱性能进行测试。结果：与环锭纺相比，紧密纺大大提高了成纱的强伸性能，降低了3 mm毛羽指数，改善了条干不匀变异系数，其中最为明显的是对3 mm毛羽指数的改善，其次是对强伸性能的改善。可见，紧密纺可较环锭纺提高长绒棉成纱品质，较优的原棉品质对纺纱等后道工序具有很重要的意义。另外，品质指标较优的丰海7号纤维的成纱强伸性能、3 mm毛羽指数、条干不匀变异系数等指标表现较优异。 相似文献
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探究不同品种长绒棉成纱性能间的差异，为纺纱企业选择优质原料提供理论参考，降低生产成本，促进棉纺行业更快更好发展。特选择新疆阿瓦提县大面积种植或有推广前景的5个长绒棉材料新海35、新海53、新海57、丰海8号、丰海7号（鲁泰700Q）为研究对象，对其纤维性能、拉伸性能、条干均匀度变异系数（条干CV）、毛羽指数、十万米纱疵数等指标测定。由结果得知，5个品种（系）长绒棉纤维的成纱质量均较优。其中丰海7号成纱单纱断裂强力、断裂伸长率、单纱断裂强度、条干CV、3 mm毛羽根数均优于其他品种，但是十万米纱疵数较其他品种多。纺织企业可根据实际需求选择指标合适的长绒棉纤维，达到降低成本、科学配棉的目的。 相似文献
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新疆不同长绒棉品种成纱性能研究 总被引：1，自引：0，他引：1
探究不同品种长绒棉成纱性能间的差异,为纺纱企业选择优质原料提供理论参考,降低生产成本,促进棉纺行业更快更好发展。特选择新疆阿瓦提县大面积种植或有推广前景的5个长绒棉材料新海35、新海53、新海57、丰海8号、丰海7号（鲁泰700Q）为研究对象,对其纤维性能、拉伸性能、条干均匀度变异系数（条干CV）、毛羽指数、十万米纱疵数等指标测定。由结果得知,5个品种（系）长绒棉纤维的成纱质量均较优。其中丰海7号成纱单纱断裂强力、断裂伸长率、单纱断裂强度、条干CV、3 mm毛羽根数均优于其他品种,但是十万米纱疵数较其他品种多。纺织企业可根据实际需求选择指标合适的长绒棉纤维,达到降低成本、科学配棉的目的。 相似文献
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棉花新品种赣棉杂1号的选育及示范 总被引：4，自引：1，他引：3
赣棉杂1号是江西省棉花研究所采用杂种优势利用的方法选育出的江西省首个优质、高产杂交棉新品种.该品种的母本为优质、抗病、高产的自育材料YL168;父本为经航天诱变育种材料中系统选育而成、适纺60支纱以上的特优材料YM-1;通过在F1代优势测定试验、品种比较试验、省级区域试验、生产示范等试验示范,赣棉杂1号表现突出,一般子棉产量为4 500 kg/hm2、皮棉产量为1 900 kg/hm2,霜前花率85%;2.5%跨长≥30 mm,比强≥33.2 cN/tex,马克隆值3.7～4.8;抗棉枯萎病、枯萎病指7.4,抗逆性能较强,综合性状优良.根据赣棉杂1号的特征特性提出了相应的高产栽培措施. 相似文献
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自 2 0 0 0年开始 ,江西省棉花新品种 (系 )区试实行滚动制 ,即对每年参试品种 (系 )采取保留表现良好的 ,淘汰表现差的 ,补充新参试的方法。1 参试品种 (系 )2 0 0 0年参试品种 (系 )包括 :南抗 3号、92— 1系、赣棉 96 16 8、95 0 8— 4、赣棉 96— 3、92— 34、95 2 0 5、泗阳 16 7选系、泗棉 3号 (ｃｋ) ;2 0 0 1年保留表现较好的品种 (系 )有 :南抗 3号、赣棉 96 16 8、92— 1系、95 2 0 5 ,新增参试品种(系 )有 :泗抗 3号、90 0 7— 14 0 7、科腾 3号、宁杂 998、赣 4 7系、Ａ— 96 ,对照仍为泗棉 3号。2 试验地点本试验两年均设 5… 相似文献
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安徽省棉花品种比较试验 总被引：1，自引：0，他引：1
安徽省农技推广总站在国内有针对性地征集了6个棉花新品种进行比较试验,着重鉴定优质丰产和适应性。1材料和方法皖杂3号F1(安徽省棉花研究所) ,皖杂4号F1(安徽省棉花研究所) ,科棉1号F1(江苏科腾棉业有限责任公司) ,保铃棉DB41 0 B(安岱公司) ,丰抗杂6号F1(安徽丰乐种业公司) ,对照皖杂40表1 各品种农艺性状及成铃情况品种株高/ cm果枝/个果节数/个 单株成铃/个 伏前桃伏桃秋桃合计皖杂3号12 1.6 2 0 .7 12 1.7 1.116 .6 2 0 .6 38.3皖杂4号118.7 19.2 110 .4 2 .0 2 0 .5 12 .334.8科棉1号118.4 17.7 10 8.6 1.2 15 … 相似文献
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江苏是原棉生产大省、纺织强省 ,棉花生产和纺织业在江苏具有十分重要的战略地位。因此历年来江苏就比较重视高品质棉花品种的引进和育种工作 ,先后引进和育成了一些绒长 30 mm以上、麦克隆值A级、比强度 2 5 c N· tex-1以上的高品质棉。本研究以江苏省种植面积比较大的高品质棉科棉 1号作为研究对象 ,在研究其纤维品质特性的基础上探索纺纱性能 ,旨在为棉花生产部门和纺织行业提供参考依据。1材料和方法试验于 2 0 0 3年在扬州大学进行。试验棉花品种为科棉 1号和苏棉 9号。所有试样均为2 0 0 2年度同一地区吐絮中期收获的棉花。为了进一… 相似文献
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In the paper, one kind of super draft ring spinning frame with four drafting rollers and corresponding three drafting zones were introduced. The yarn qualities spun by the super draft ring spinning frame were analyzed by studying the shape of spinning triangles. Using the high speed camera system OLYMPUS i-speed3 and one kind of transparent front top roller, the spinning triangles were captured, and the geometry size of spinning triangle were measured. Then, according to the theoretical model of fiber tension in the spinning triangle, fiber tension distributions in the spinning triangles were presented by using Matlab software. Using the combed roving of 350 tex as raw material, three kinds of cotton yarns, 27.8 tex (21S), 18.2 tex (32S) and 14.6 tex (40S), were spun in the common ring spinning frame with three different suitable spindle speeds, travelers and twist factors. Using the combed roving of 350 tex and 500 tex as raw material, 14.6 tex cotton yarns were spun in the super draft ring spinning frame with three different drafting ratios at back zone. It is shown that with the increasing of spindle speed, a more asymmetric shape of spinning triangle would be produced, and lead to worsen yarn evenness. With the decreasing of traveler weight, the height and horizontal deviation of the spinning triangle is decreased, and may lead to better yarn evenness and less long hairiness. By taking suitable large yarn twist factors, the comprehensive qualities can be improved. Comparing with the common ring spinning, the spinning triangle is larger in the super draft ring spinning. That is, in the super draft ring spinning, the fibers in the strand in the front roller nip are more dispersed, and not benefit for yarn qualities. Therefore, the compact device was introduced into the super draft ring spinning, and the cotton pure yarns and blend yarns were spun, and the yarn qualities were measured and analyzed. 相似文献
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《Journal of Crop Improvement》2013,27(1-2):371-394
Abstract Quality of cotton can be defined through seed or fiber properties, but is most often associated with fiber properties that influence processing into yarn and textile products. Global competition in the production and consumption of cotton fiber combined with technological evolution of yarn manufacturing has spurred renewed efforts to enhance cotton fiber quality. Cotton fiber quality can be improved through genetics, crop management, and postharvest processing. Knowledge of the effects of fiber properties on processing and their inheritance, relationships, and environmental influences is necessary to formulate improvement strategies. Breeding to improve fiber quality has traditionally focused on enhancing measures of the longest fibers or fiber strength for ring yarn manufacturing systems. With the technological evolution of yarn manufacturing from solely ring-based spinning to predominately rotor and potentially in the near future air-jet spinning, needs for fiber profiles have been revised for these spinning systems. Successful rotor spinning requires high fiber strength for all yarn counts, along with fiber fineness for fine count yarns. The even more productive air-jet spinning requires a minimum, but uniform fiber length, fiber fineness, and to a lesser extent strong fiber. In contrast, ring spinning requires a minimum fiber length, fiber strength, and to a lesser extent fiber fineness. Breeders do not conduct direct selection for yarn properties because of impracti-calities, thus they select for fiber properties that influence processing, so-called indirect selection. The inherent environmentally induced variability in fiber properties presents challenges to enhance them through breeding or biotechnological approaches. Because variability in fiber properties is problematic to fiber processing, future-breeding and biotechnological approaches should simultaneously focus on enhancing fiber properties and reducing variation. This paper will review strategies to enhance fiber profiles through genetic approaches while ameliorating their variation. 相似文献
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In this study, we present the application of a hybrid neuro-fuzzy system for the prediction of cotton rotor spun yarn strength
from cotton fiber properties. The proposed system possesses the advantages of both artificial neural networks and fuzzy logic,
and is thus more intelligent. HVI (high volume instrument) and Uster AFIS (advanced fiber information system) fiber test results
are used to train the neuro-fuzzy inference system. We also study the degree of impact of each fiber property on the rotor
spun yarn strength. Fiber strength, upper half mean length, length uniformity and yarn count have a positive impact whereas
micronaire, yellowness and short fiber content have a negative impact on rotor spun yarn strength. 相似文献
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Modeling of yarn and fiber properties has been a popular topic in the field of textile engineering in recent decades. The
common method for fitting models has been to use classical regression analysis, based on the assumptions of data crispness
and deterministic relations among variables. However, in modeling practical systems such as cotton spinning, the above assumptions
may not hold true. Prediction is influential and we should therefore attempt to analyze the behavior and structure of such
systems more realistically. In the present research, we investigate a procedure to provide a soft regression method for modeling
the relationships between fiber properties, roving properties, and yarn count as independent variables and yarn properties
as dependent (response) variable. We first selected the effective variables by multivariate test (mtest) and then considered
fuzzy least squares regression for evaluating relationship between cotton yarn properties such as tensile, hairiness, unevenness
and fiber properties that were measured by HVI system. We also used mean of capability index (MCI) to evaluate the goodness
of fit of the fuzzy regression models. The results showed that the equations were significant at very good MCI levels. 相似文献
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本文对黄麻／棉混纺纱的生产工艺作了初步的探索，利用经过脱胶后的精细化黄麻纤维，通过对纺纱加工工艺与设备的选择、调整，纺制成了黄麻／棉55／45的转杯混纺纱.结果表明，黄麻纤维在脱胶精细化处理后，是可以加工成应用领域更广泛的产品的. 相似文献
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This paper provides preliminary results on the relative performance of the adaptive neuro-fuzzy system inference (ANFIS) model
versus linear multiple regression method, when applied to the use of cotton fiber properties to predict spun yarn strength
obtained from open-end rotor spinning. Fiber properties and yarn count are used as inputs to train the two models and the
output (dependent variable) would be the count-strength-product (CSP) of the yarn. The predictive performances of the two
models are estimated and compared. We found that the ANFIS has a better average prediction successful in comparison with linear
multiple regression model. 相似文献
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Structural analysis of finer cotton yarns produced by conventional and modified ring spinning system
Yarn structure plays an important role in determining the properties of spun yarns. Recently, a modified spinning technique has been developed for producing a low torque and soft handle singles yarn by modifying the fiber arrangement in a yarn. Comparative studies revealed that the finer modified yarns possess significantly higher strength and lower hairiness over the conventional yarns of the same twist level, implying a different structure of finer modified yarn. Thus this paper aims to quantitatively study the structures of the finer conventional and modified cotton yarn (80 Ne) produced at the same twist level. Various measuring techniques, namely the Scanning Electron Microscope (SEM), cross section technique and tracer fiber technique, are adopted to analyze their structural characteristics, including fiber configuration, fiber spatial orientation angle, fiber packing density, yarn surface appearance, and fiber migration behavior. Results showed that finer modified yarns exhibit a smoother surface and much more compact structure with less hairiness. The fibers in the finer modified yarn have a complicated fiber path with relatively lower fiber radial position, larger migration frequency and magnitudes. In addition, it was noted that 73% of fibers in the finer conventional yarn follow concentric conical helix, which is contrary to those in the coarser conventional yarn. The analyses conducted in this paper provide deep insights into the mechanism of modified spinning technique and evidential explanations on the difference of properties between the finer conventional and modified yarns. 相似文献
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This paper investigates the influence of raw material and process parameters in spinning that affect the inter fiber cohesion
in yarns. An instrument has been developed for measuring the minimum twist of cohesion. With regard to the raw material parameters,
the influence of different cotton fiber mixings for a given count of yarn is investigated. Also the effect of spinning to
varying counts for a given cotton variety is studied. With regard to the process parameters, studies have been carried out
to investigate the influence of noil extraction in comber, number of draw frame passages, draft pressure in ring frame and
direction of twist. Cohesion improved with increase in the noil extraction percentage in the comber. Increase in the number
of draw frame passages also improved the cohesion. Draft pressure in ring frame improved the fiber cohesion in yarn up to
a pressure of 2.1 kg/cm2. Direction of twist had no effect on the cohesion. 相似文献