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首页> 外文期刊>Journal of Mechanical Science and Technology >Improving structural properties of polymer fibers to design and construct fiber spinneret and optimize process parameters using response surface method and gage R&R
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Improving structural properties of polymer fibers to design and construct fiber spinneret and optimize process parameters using response surface method and gage R&R

机译:改善聚合物纤维的结构性能设计和构建纤维喷丝头,并使用响应表面方法和Gage R&R优化工艺参数

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摘要

In this study, a syringe pump was designed and built to determine the effect of the physical properties of the spinning part of a machine and the physical properties of the wet spinning process. Through the wet spinning method and fuzzy separation process, solid fibers were produced under experiments designed by the response surface method and statistical model of composite center design to predict the exact tensile strength. Polymeric fibers produced by atomic absorption spectrometry were used as adsorbent. This study aimed to evaluate the effects of spinning velocity, length-to-diameter ratio of the spinner, spinner diameter, and weight percentage of the polymer on the mechanical properties and structure of the sample. Scanning electron microscopy tests were conducted on the samples to analyze their structural properties, and the output pictures showed that the samples had a desirable microstructure. Analysis of variance indicated that the physical parameters of spinning produced the most significant effect on improving fiber properties. Results of data analysis showed that the length-to-diameter ratio and spinner diameter were the most effective process conditions that could be used to examine the data on tensile strength and optimum ratio of fiber diameter to spinner diameter. Finally, optimization was performed using the utility function to maximize the amount of tensile strength, and the process experimental results were evaluated. The results showed that the response surface models could adequately predict the values of the response variable. The gage R&R method was used to determine the amount of error due to the measurement system.
机译:在这项研究中,设计并制造了一个注射泵,以确定机器纺纱部件的物理性能和湿纺纱过程的物理性能的影响。通过湿法纺丝和模糊分离工艺,在响应面法和复合材料中心设计统计模型设计的实验中生产出固体纤维,以预测准确的拉伸强度。采用原子吸收光谱法生产的聚合物纤维作为吸附剂。本研究旨在评估纺丝速度、纺丝器长径比、纺丝器直径和聚合物重量百分比对样品机械性能和结构的影响。对样品进行扫描电子显微镜测试以分析其结构性能,输出图片显示样品具有理想的微观结构。方差分析表明,纺丝的物理参数对改善纤维性能的效果最为显著。数据分析结果表明,长径比和纺纱器直径是检验拉伸强度和纤维直径与纺纱器直径最佳比值的最有效工艺条件。最后,使用效用函数进行优化,以最大限度地提高拉伸强度,并对工艺试验结果进行了评估。结果表明,响应面模型能够充分预测响应变量的值。量规R&R方法用于确定测量系统产生的误差量。

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