THERMAL SCIENCE

International Scientific Journal

CORRELATION MODEL FOR FIBER DIAMETER OF THE ELECTRO-SPUN MEMBRANE USING KGM (1,N) MODEL FOR NANOFILTRATION

ABSTRACT
Nanofiltration is an important application for electro-spun fiber as it is well characterized by fine fiber diameter, huge density, high penetrability, and flexibility. In this paper, the poly-acrylonitrile fiber diameter is determined experimentally by varying four factors such as voltage, flow rate, the distance between spinneret and collector, and mass fraction in the electrospinning process. The fiber diameter is measured through SEM analysis. A highly accurate kernel-based non-linear multivariable grey model, KGM (1, 1) model is used for the prediction of nanofiber diameter for filtering particulate less than 500 nm. This is proved to be better when compared to the grey model first order one variable and multivariable grey model. Based on simulated outcomes, filtration membranes are prepared and tested for filtration efficiency for the airborne particles relating its air permeability, porosity and quality factor.
KEYWORDS
PAPER SUBMITTED: 2021-07-02
PAPER REVISED: 2021-08-13
PAPER ACCEPTED: 2021-08-18
PUBLISHED ONLINE: 2021-09-04
DOI REFERENCE: https://doi.org/10.2298/TSCI210702268T
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2021, VOLUME 25, ISSUE Issue 6, PAGES [4371 - 4382]
REFERENCES
  1. Wenxiu Yang., Lin Li., Shuo Wang., Jinshu Liu. Preparation of multifunctional AgNPs /PAN nanofiber membrane for air filtration by a one-step process. Pigment & Resin Technology (2020)
  2. Xin Ma., Wenqing Wu., Bo Zeng., Yong Wang., Xinxing Wu. The conformable fractional grey system model. ISA Transaction (2019)
  3. Yu Lei., Min Guo., Danning Zhao., HongbingCai., Dandan Hu. Application of Grey Model GM (1,1) to Ultra Short-Term Predictions of Universal Time. Artificial satellites (2016), vol. 51.
  4. Hang Jiang, Peiyi Kong., Yi-Chung Hu., Peng Jiang. Forecasting China's CO2 emissions by considering the interaction of bilateral FDI using the improved grey multivariable Verhulst model. Environment, Development and Sustainability (2020)
  5. Wei, N., Sun, C., Wang, L.H., Huang, L.Q. Predictive Model of Electrospinning of Carboxymethyl Chitosan Nanofibers. Package Engineering. (2016), 37, 8-13.
  6. Stepanyan, R.., Subbotin, A.V., Cuperus, L., Boonen, P., Dorschu, M., Oosterlinck, F., Bulters, M.J.H. Nanofiber Diameter in Electrospinning of Polymer Solutions: Model and Experiment. Polymer (2016).97,428-439.
  7. Stepanyan, R.., Subbotin, A., Cuperus, L., Boonen, P., Dorschu, M., Oosterlinck, F., Bulters, M. Fiber Diameter Control in Electrospinning. Applied Physics Letter. 105. (2014), 173105-173109
  8. Hou, C.W., Cai, Z.J. Preparation of polyhydroxyalkanoate nanofibers by electrospinning and its diameter prediction model. Polymer Material Science Engineering (2013), 29, 118-122.
  9. Spivak, A.F., Dzenis, Y., Reneker, D.H. Model of Steady-State Jet in the Electrospinning Process. Mech. Res. Commun 2000. 27, 37-42
  10. Larrondo, L., St. John Manley, R. Electrostatic Fiber Spinning from Polymer Melts. I. Experimental Observations on Fiber Formation and Properties. Journal of Polymer Science Polymer. Physics Edition (1981). 19,909-920.
  11. Larrondo, L., St. John Manley, R. Electrostatic Fiber Spinning from Polymer Melts. II. Examination of the Flow Field in an Electrically Driven Jet. Journal of Polymer Science Polymer. Physics Edition (1981). 19,921-932.
  12. Larrondo, L., St. John Manley, R. Electrostatic fiber spinning from polymer melts. III. Electrostatic deformation of a pendant drop of the polymer melt. Journal of Polymer Science Polymer. Physics Edition (1981), 933-940.
  13. L.Wu., X. Gao., Y. Xiao., Y. Yang., X. Chen. Using a novel multi-variable grey model to forecast the electricity consumption of Shandong Province in China. Energy, (2018) vol. 157, pp. 327-335,
  14. Jiyeol Bae., Hyuna Kim., Saerom Park., Kwang Soo Kim., Heechul Choi. Parametrization Study of ElectrospunNanofiber Including LiCl Using Response Surface Methodology (RSM) for Water Treatment Application. MDPI: Applied science (2020), 10, 7295
  15. X. Ma., Y.-S. Hu. Z.-B. Liu. A novel kernel regularized nonhomogeneous grey model and its applications. Communications in Nonlinear Science and Numerical Simulation (2017). Vol.48, pp. 51-62
  16. Xin Ma., Zhi-bin Liu. The kernel-based on the nonlinear multivariate grey model. Applied Mathematical Modelling (2018). 56 pp.217-238.
  17. QihongZhou., TianlunWei., Yiping Qiu., Fangmin Tang., Lixin Yin and Xuehui Gan. Prediction and optimization of chemical fiber spinning tension based on grey system theory. Textile research journal (2018)
  18. Qihong Zhou., Liqun Lin 1., Ge Chen 1., Zhaoqun Du. Prediction and Optimization of Electrospun Polyacrylonitrile Fiber Diameter Based on Grey System Theory. MDPI Material, (2019) 12, 2237
  19. Di Zhang., Amar Karki., Dan Rutman., David Young., Andrew Wang., David Cocke., Thomas Ho., ZhanhuGuo. Electrospun Polyacrylonitrile Nanocomposite Fibers Reinforced with Fe3O4 Nanoparticles: Fabrication and Property Analysis. Polymer (2009), 4189-4198.
  20. Chun-Cheng Lin., Rou-Xuan He., Wan-Yu Liu. Considering Multiple Factors to Forecast CO2 Emissions: A Hybrid Multivariable Grey Forecasting and Genetic Programming Approach 2 Energies (2018), 11, 3432
  21. Ibrahim Alarifi., Waseem Khan., RamazanAsmatulu. Synthesis of electrospun polyacrylonitrile derived carbon fibers and comparison of properties with bulk form, Plos One (2018)
  22. Wenxiu Yang., Lin Li., Shuo Wang., Jinshu Liu. Preparation of multifunctional AgNPs/PANnanofiber membrane for air filtration by a one-step process. Pigment & Resin Technology (2020)
  23. N.R. Prokopchuk., Zh.S. Shashank., D.V. Prishchepenko., V.G. Luhin. Formation of Polyacrylonitrile Nanofibers for Air Filtration by Electrospinning Method. 6TH International Conference on Nanomaterials: Applications and Properties (NAP) (2016)

© 2021 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence