3D Stochastic Network Modeling and Investigation of Network Size Effect on the Porous Media Structure of Ion Exchange Catalyst Amberlyst-35 with Computer Programs

Authors : Veli ŞİMŞEK, Kırali MURTEZAOĞLU

Pages : 1001-1020

Doi:10.35378/gujs.1011056

View : 174 | Download : 171

Publication Date : 2023-09-01

Article Type : Research Paper

Abstract :In the present paper, the investigation was focused on the physical characterization and determination of porosity for an ion exchange catalyst called Amberlyst-35, which produces environmentally benign gasoline using 3D network modeling insert ignore into journalissuearticles values(3DNM);. In addition, the effect of the different pore size distributions insert ignore into journalissuearticles values(PSD); has been investigated in porous media insert ignore into journalissuearticles values(PM);. First, the mercury porosimetry insert ignore into journalissuearticles values(MPo); experiment was carried out to determine the porosity of the Amberlyst-35. Second, the KALINET program was run by Compact Visual Fortran insert ignore into journalissuearticles values(CVF); and Graphical Input/Output insert ignore into journalissuearticles values(GINO); for modeling porous structures. Then, the SECTION program was used for different porous 3D random images. The theoretical penetration curve was drawn using data obtained from the KALINET program and fitted to the experimental penetration values of Amberlyst-35 by changing the number of pores in each pressure interval of the PSD. The PSD was a 3D network model size of insert ignore into journalissuearticles values(N); = 30x30x30, 40x40x40, 50x50x50, which included 83,700-196,800-382,500 pores, respectively. On the other hand, various sections of the 3D stochastic images of the pore network were obtained from the SECTION program. Finally, 3D network images were drawn by the KALINET3D computer program. The MPo method has been applied using computer programs insert ignore into journalissuearticles values(with desktop computers);. Moreover, it was found that the same results were obtained for both the theoretical and experimental data of MPo.
Keywords : Mercury porosimetry, Amberlyst 35, Stochastic network model, Porous media