حسين مشهدي مسلم

In this research, according to the wide applications of oxygen adsorption in various industries and the research gaps regarding the investigation and construction of absorbent, carbon absorbent structures have been eva‎luated for maximum oxygen absorption. Studies were carried out on previous researches regarding the synthesis of carbon adsorbent and using machine learning (ML) algorithms, the relationship between carbon raw materials and synthesis temperature was eva‎luated in order to predict the specific surface area of carbon adsorbent. Also, the operating conditions of oxygen adsorption, such as pressure and temperature, were modeled in order to predict the maximum oxygen adsorption in different carbon-based adsorbents with more than 99.9% regression agreement and the MSE of 10-5. In the following, using the results of modeling, walnut shell porous carbon adsorbent base was selected and this synthesis was done by self-activation method at 1000 oC temperature. The structure of the synthesized and modified porous carbon was investigated by characterization tests (FESEM, RAMAN TEM, FTIR, BET, XRD, XPS and TGA) and the synthesis of the desired compounds was confirmed. The best sample of the synthesized porous carbon adsorbent had a specific surface area (2042 m2/g) and the pore volume (cm3/g) was 0.83 and1.85 mesoporous and microporous. Next, the porous carbon adsorbent was oxidized by Hammer's method and the specific surface area (217.34 m2/g) and the pore volume of mesopores and micropores were 0.0844 and 0.068 (cm3/g). The pore volume of oxidized adsorbent decreased 17 times compared to the original sample. Also, granular activated carbon adsorbent with different weight percentages of ZnCl2 and different carbonization temperatures was used. All selected adsorbents, porous carbon, oxidized porous carbon, and functionalized granular activated carbon were compared with each other. All adsorption tests were performed in a fixed bed reactor by volume. Oxygen adsorption capacity was eva‎luated in the temperature range of 328~298 K, and pressures range of 1~10 bar. The highest oxygen adsorption capacity with the best samples of synthesized absorbents porous carbon, oxidized porous carbon and functionalized granular activated carbon respectively values of 2.9, 4.11 and 5.4 (mmol/g) at 298 K and 9.5 bar was obtained. The results showed that the oxygen adsorption capacity at the lowest temperature in the oxidized porous carbon sample increased by 40% and in the functionalized granular activated carbon sample by 48% compared to the original sample. The selectivity of the obtained adsorbents for Oxygen adsorption was shown to be higher than nitrogen. The experimental results were consistent with the SIPS isothermal and the fractional order kinetic models to explain the adsorption kinetics. The processes adsorption were spontaneous and reversible in addition to heat generation. Adsorption performance of the adsorbent After 10 and 20 cycles of adsorption/desorption, the synthesized sorbents were reported to be above 96%. The results showed that in addition to the specific surface area and porosity, by creating hydrogen bonds and oxygen functional groups on the surface of the adsorbent, the oxygen adsorption capacity can be increased by more than 40%. gave.

جذب O2 , كربن متخلخل , يادگيري ماشين , خود فعال سازي , سينتيك , ترموديناميك

O2 adsorption , Porous carbon , Machine learning , Self-activation , Kinetics , Thermodynamics

Hossein Mashhadimoslem

Ahad Ghaemi