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转杯纺纺制再生涤纶短纤维纱工艺研究

Study on the Rotor Spinning Technique of Regenerated Polyester Staple Yarns

【作者】 侯春婷

【导师】 陈廷;

【作者基本信息】 东华大学 , 纺织工程, 2008, 硕士

【摘要】 再生涤纶短纤维可以变废为宝,实现循环利用,保护环境,减少能源消耗。我国再生涤纶短纤维资源非常丰富。再生涤纶纤维已由原来对原生涤纶纤维市场的补充地位向部分替代地位转变。纺织企业如能充分利用再生涤纶短纤维的丰富资源,则有可能创造可观的经济效益。本文以再生涤纶短纤维转杯纱为研究对象,通过对分梳辊和假捻盘等纺纱元件进行优选,对转杯速度、分梳辊速度和捻系数等工艺参数进行优化,纺制出了质量较好的29.5 tex再生涤纶转杯纱。本文还为再生涤纶转杯纱的有关质量指标建立了神经网络预测模型,并与回归方程预测结果进行了比较。最后,本文在仅了解纱中纤维强伸性能的情况下,建立了涤纶转杯纱断裂强力理论模型,对成纱断裂强力进行了预测,并与断裂强力实测值进行了比较。通过以上研究,得出如下结论。(1)纺纱元件优选方面,OK37型锯齿辊—陶瓷抗静电假捻盘,OK37型锯齿辊—镀硬铬45#钢假捻盘,OK37型锯齿辊—陶瓷光盘假捻盘均为最优方案。本文选用OK37型分梳辊—陶瓷抗静电假捻盘方案。(2)转杯纺纱工艺优化方面,纺制29.5 tex的再生涤纶转杯纱的最优工艺参数是转杯速度31694 r/min、分梳辊速度7909 r/min和捻系数491。采用优选和优化结果再次进行纺纱,并测试成纱质量,发现成纱质量总体上优于原有方案,证明该优化工艺是有效的。将最优工艺纺制的转杯纱的断裂强度和断裂伸长率与相同线密度的环锭纱进行了比较,发现转杯纱的强不匀和条干不匀率均好于环锭纱,虽然断裂强度低于环锭纱,但是可以满足后道加工的要求。(31)为涤纶转杯纱有关质量指标构造了一个神经网络预测模型,建立了转杯速度、分梳辊速度和捻系数等工艺参数与成纱有关质量指标的关系,并与回归方程的预测结果进行了比较。研究发现,除个别指标外,神经网络的预测结果要比回归方程的预测结果更接近于实测结果,表明采用神经网络预测转杯纱质量是可行的、有效的。(4)成纱断裂强力理论模型方面,由于在模型建立过程中做了较多的简化和假设,预测结果与实测结果之间存在20%左右的误差,预测精度无法与神经网络相比。但是,本文毕竟实现了在没有成纱质量试验数据的情况下,仅根据纱中纤维的强伸性能,为转杯纱断裂强力建立了一个理论模型,在这方面进行了有益的探索,并将通过不懈的努力使该理论模型不断得到改进。

【Abstract】 Regenerated polyester staple fiber can be recycled, protect environment and reduce energy consumption. There are many regenerated polyester staple fiber resources in our country, and the status of the regenerated polyester staple fiber has transfer from supplement to partial substitute. If textile companies take full advantage of the regenerated polyester staple fibers, there will be considerable economic benefits.This thesis studies the rotor spinning technique of regenerated polyester staple yarn. In order to get better properties rotor yarns, the rotor spinning elements including opening roller and navel and the processing parameters such as rotor speed, opening roller speed and twist factor are optimized. A neural network model is also established for the prediction of yarn qualities. And the predicted results of the neural network and regression equations are compared. In the end, a theoretical model of yarn tensile strength is built on the fiber tensile properties. The main conclusions are as follows:(1) In the part of elements optimumization, OK37 saw - toothed opening roller and antistatic ceramic navel, OK37 saw-toothed opening roller and navel of hard chromium plated steel (45#) and OK37 saw-toothed opening roller & plain navel are the optimum combination. In this thesis, OK37 saw-toothed opening roller and antistatic ceramic navel are chosen as the appropriate spinning elements.(2) In the part of processing optimumization, the optimum parameters for spinning the 29.5 tex regenerated polyester staple yarns are the rotor speed of 31694 r/min, opening roller speed of 7909 r/min and twist factor of 491. Yarns are spun according to the optimum processing parameters. The quality of yarns is generally better than previous experiments, which proves the effectiveness of the optimum processing parameters. Comparing the optimum rotor spinning regenerated polyester staple yarns to the ring spinning yarns in the properties of strength and the elongation at break, it is found that the rotor spinning yarn’s strength, strength irregularity and CV% are all lower than ring spinning, and the qualities of the yarns can meet the request of latter processing.(3) A neural network model is established for the relevant qualitative index of the rotor spinning yarns. Relationships between the rotor speed, opening roller speed and twist factor and the yarn qualities are built. The prediction results of neural networks are compared with the regression equations. It is found that the neural network model prediction results are more close to the experimental results, which indicates that the neural network is feasible and effective.(4) In the part of the theoretical model of yarn tensile strength, because some simplifications and assumptions are made during the establishment of the model, the predicted errors are about 20%. However, a theoretical model is after all established for the breaking strength of yarn only according to the tensile properties of fibers and without experiment data of the yarn quality. This is a beneficial exploration. And the theoretical model will be improved continuously with unremitting efforts.

  • 【网络出版投稿人】 东华大学
  • 【网络出版年期】2008年 07期
  • 【分类号】TQ342.2
  • 【被引频次】10
  • 【下载频次】279
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