Isfahan University of Technology Journal of Computational Methods in Engineering 2228-7698 26 2 2022 12 31 A Comparison between Kubelka-Munk and Geometric Models for Prediction of Reflectance Factor of Transparent Fibers A Comparison between Kubelka-Munk and Geometric Models for Prediction of Reflectance Factor of Transparent Fibers 31 45 2985 FA S. Amiri And S. H. Amirshahi Journal Article 2022 12 31 The reflectance factors of transparent fibers, free delustering agent, are predicted by geometric as well as Kubelka-Munk models. Transparent fibers are simulated by a net of glass capillary tubes containing different solutions of dyestuffs. Based on the results, prediction of the reflectance factor of capillary net by geometric model is relatively better than those obtained from Kubelka-Munk model. However, the geometric model suffers from a complex and massive computation process. Generally speaking, the geometric model performs better for dark transparent samples due to the ignorable internal scattering phenomena. On the other hand, the Kubelka-Munk model provides better results for light samples, where the geometric model fails in acceptable prediction. The reflectance factors of transparent fibers, free delustering agent, are predicted by geometric as well as Kubelka-Munk models. Transparent fibers are simulated by a net of glass capillary tubes containing different solutions of dyestuffs. Based on the results, prediction of the reflectance factor of capillary net by geometric model is relatively better than those obtained from Kubelka-Munk model. However, the geometric model suffers from a complex and massive computation process. Generally speaking, the geometric model performs better for dark transparent samples due to the ignorable internal scattering phenomena. On the other hand, the Kubelka-Munk model provides better results for light samples, where the geometric model fails in acceptable prediction. https://jcme.iut.ac.ir/article_2985_275d7fb2fd45098ad5c3ece2ed4a2824.pdf