THERMAL SCIENCE

International Scientific Journal

PREDICTION OF BINDER POLYMERIZATION RATE IN THE GLASS WOOL CURING OVEN

ABSTRACT
Binder polymerization in the curing oven was investigated experimentally in the glass wool production. First focus was on the measurements of glass wool layer temperature distribution along the curing oven. The different temperature curves were compared with fiber density distribution in a layer of glass wool, measured with the X-ray device. The maximum difference between the temperature curves amounted to 60°C and fiber density distribution deviated for ±8% according to nominal density. With a near infra-red spectroscopy binder polymerization rate was measured and compared with a set average temperature of curing oven, where the regression model was determined. With temperature reduction for 9°C and polymerization rate decreasing for 2% were defined optimal product quality. In the next study, binder polymerization rate was predicted with aid of set temperatures and fan rotational frequency as input process parameters and near infra-red spectroscopy as continuous response variable, where the temperature shown bigger impact than fan rotational frequency. Next prediction was done with aid of the input parameters and the magnitude of the fan rotational frequency and temperature as a response variable. In this case, the input quantities represent: a type of product, curing oven saturation, the ambient temperature, micronaire, area weight of the product, and binder amount in the glass wool product. For each zone of the curing oven, an equation was determined to predict the magnitude of the fan rotational frequency and temperature. Regression models results showed high correlation with the determination coefficient, R2, higher than 0.85.
KEYWORDS
PAPER SUBMITTED: 2024-02-24
PAPER REVISED: 2024-03-30
PAPER ACCEPTED: 2024-04-05
PUBLISHED ONLINE: 2024-06-22
DOI REFERENCE: https://doi.org/10.2298/TSCI240224139K
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2024, VOLUME 28, ISSUE Issue 5, PAGES [4187 - 4198]
REFERENCES
  1. Yliniemi, J., et al., Mineral Wool Waste-Based Geopolymers, IOP Conf. Ser. Earth Environ. Sci., 297 (2019), 1, 012006
  2. Padmanaban, G., et al., Performance of a Desiccant Assisted Packed Bed Passive Solar Dryer for Copra Processing, Thermal Science, 21 (2017), Suppl. 2, pp. S419-S426
  3. Wei, C., et al., Development of a New Silicate Thermal Insulation Coating and Analysis of Heat Storage Characteristics, Thermal Science, 27 (2023), 2, pp. 949-957
  4. Luukkonen, T., et al., One-Part Alkali-Activated Materials: A Review, Cem. Concr. Res., 103 (2018), Jan., pp. 21-34
  5. Lemougna, P. N., et al., Utilisation of Glass Wool Waste and Mine Tailings in High Performance Building Ceramics, J. Build. Eng., 31 (2020), 101383
  6. Lemougna, P. N., et al., Effect of Organic Resin in Glass Wool Waste and Curing Temperature on the Synthesis and Properties of Alkali-Activated Pastes, Mater. Des., 212 (2021), 110287
  7. Bennett, T. M., et al., Low Formaldehyde Binders for Mineral Wool Insulation: A Review, Glob. Challenges, 6 (2022), 4, 2100110
  8. Pavlin, M., et al., Mechanical, Microstructural and Mineralogical Evaluation of Alkali-Activated Waste Glass and Stone Wool, Ceram. Int., 47 (2021), 11, pp. 15102-15113
  9. Xu, P., et al., Experimental Study on High Temperature Mechanical Properties of Aluminate Cement Mortar Mixed with Fiber, Thermal Science, 25 (2021), 6, pp. 4441-4448
  10. Širok, B., et al., Fiberisation Process, Woodhead Publishing, Sawston, UK, 2008
  11. Yi, Y., et al., Improving the Curing Cycle Time through the Numerical Modeling of Air Flow in Industrial Continuous Convection Ovens, Procedia CIRP, 63 (2017), Dec., pp. 499-504
  12. Pask, F., et al., Systematic Approach to Industrial Oven Optimisation for Energy Saving, Appl. Therm. Eng., 71 (2014), 1, pp. 72-77
  13. Pask, F., et al., Industrial Oven Improvement for Energy Reduction and Enhanced Process Performance, Clean Technol. Environ. Policy, 19 (2017), 1, pp. 215-224
  14. Carvalho, M. D. G., Nogueira, M., Improvement of Energy Efficiency in Glass-Melting Furnaces, Cement Kilns and Baking Ovens, Appl. Therm. Eng., 17 (1997), 8-10, pp. 921-933
  15. Yuksel, N., et al., The Temperature Dependence of Effective Thermal Conductivity of the Samples of Glass Wool Reinforced with Aluminium Foil, Int. Commun. Heat Mass Transf., 37 (2010), 6, pp. 675-680
  16. Cendre, E., et al., Conception of a High Resolution X‐Ray Computed Tomography Device; Application to Damage Initiation Imaging Inside Materials, (1999)
  17. Kraševec, B., et al., Multiple Regression Model of Glass Wool Fibre Thickness on a Spinning Machine, Glas. Technol., 55 (2014), 4, pp. 119-125

© 2024 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