Mathematical Modelling of Scission Electrospun Polystyrene Fibre by Ultrasonication Scission

IF 0.6 Q3 MULTIDISCIPLINARY SCIENCES
Cheryl Rinai Raja, M. Sawawi, S. J. Tanjong, Nurliyana Truna
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引用次数: 0

Abstract

This study investigates the effects of time and diameter on the final scission length of the electrospun polystyrene (PS) fibres, whereby the fibres were ultrasonicated for 1, 2, 3, 4, and 8 minutes. The ultrasonic probe stimulates bubble cavitation followed by bubble implosion as scission occurs. Factors affecting the scissionability of the electrospun PS fibres are primarily the diameter of the fibre and the sonication run time. The scission final fibre length range is approximately 23.7 µm to 1.1 µm. SEM images show that the fibre breaks into shorter lengths as sonication run time increases. Conversely, fibre diameter exhibits a positive relationship with fibre length. The model gives an R-squared value of 0.44 and 0.59 for linear and non-linear regression, thus suggesting that the non-linear model provides a better fit for the data. The validation of the model is achieved by conducting a hypothesis test. Through hypothesis testing, the mean of the experimental average final length value and the predicted average fibre length from the regression model were not significant, indicating that the model can generally predict a relatively accurate average final fibre length value. The model derived from this study enables researchers to estimate the time required to sonicate the PS fibre (with a specific diameter) to achieve the short fibre length needed in their application. As research progresses, refining the model and incorporating additional parameters will be essential to ensure the broad reliability and applicability of these models across a variety of practical contexts.
超声波裂解电纺聚苯乙烯纤维的数学建模
本研究探讨了时间和直径对电纺丝聚苯乙烯(PS)纤维最终裂解长度的影响,即对纤维进行 1、2、3、4 和 8 分钟的超声处理。超声波探头刺激气泡空化,随后气泡内爆,发生裂解。影响电纺 PS 纤维可裂解性的因素主要是纤维直径和超声处理时间。裂解的最终纤维长度范围约为 23.7 微米至 1.1 微米。扫描电子显微镜图像显示,随着超声运行时间的增加,纤维断裂的长度变短。相反,纤维直径与纤维长度呈正相关。该模型的线性回归和非线性回归的 R 平方值分别为 0.44 和 0.59,这表明非线性模型能更好地拟合数据。模型的验证是通过假设检验实现的。通过假设检验,实验平均最终长度值的平均值与回归模型预测的平均纤维长度的平均值不显著,表明该模型总体上可以预测出相对准确的平均最终纤维长度值。通过本研究得出的模型,研究人员可以估算出超声处理 PS 纤维(具有特定直径)所需的时间,以达到其应用中所需的短纤维长度。随着研究的深入,对模型进行改进并加入更多参数对于确保这些模型在各种实际情况下的广泛可靠性和适用性至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Pertanika Journal of Science and Technology
Pertanika Journal of Science and Technology MULTIDISCIPLINARY SCIENCES-
CiteScore
1.50
自引率
16.70%
发文量
178
期刊介绍: Pertanika Journal of Science and Technology aims to provide a forum for high quality research related to science and engineering research. Areas relevant to the scope of the journal include: bioinformatics, bioscience, biotechnology and bio-molecular sciences, chemistry, computer science, ecology, engineering, engineering design, environmental control and management, mathematics and statistics, medicine and health sciences, nanotechnology, physics, safety and emergency management, and related fields of study.
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