Improving structural properties of polymer fibers to design and construct fiber spinneret and optimize process parameters using response surface method and gage R&R

Abstract

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.