Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed
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Publication Metadata only Utilizing machine learning algorithms for prediction of the rheological behavior of ZnO (50%)-MWCNTs (50%)/ Ethylene glycol (20%)-water (80%) nano-refrigerant(PERGAMON-ELSEVIER SCIENCE LTD, 2024) Song, Xiedong; Baghoolizadeh, Mohammadreza; Alizadeh, As'ad; Basem, Ali; Jasim, Dheyaa J.; Sultan, Abbas J.; Salahshour, Soheil; Piromradian, Mostafa; Jining University; Inner Mongolia University of Finance & Economics; Shahrekord University; Cihan University-Erbil; Al-Amarah University College; University of Warith Alanbiyaa; University of Technology- Iraq; University of Missouri System; Missouri University of Science & Technology; Okan University; Bahcesehir University; Lebanese American University; Islamic Azad UniversityThis paper aims to explore the utilization of machine learning techniques for the accurate prediction of rheological properties in a specific nanofluid system, ZnO(50 %)-MWCNTs (50 %)/Ethylene glycol (20 %)-water (80 %), designed for nano-refrigeration applications. The effective manipulation of the rheological behavior of nanofluids is pivotal for enhancing their heat transfer efficiency and overall performance. By harnessing the predictive power of machine learning, this study endeavors to unravel the intricate relationships governing the rheological characteristics of the nano-refrigerant, ultimately contributing to the development of advanced cooling solutions. The obtained results show that pnf of ZnO(50%)-MWCNTs (50%)/ Ethylene glycol(20%)-water (80%) nano-refrigerant is little affected by T, and even when T varies, this result does not alter much. Also, the lowest pnf occurs when it has the highest temperature and the lowest gamma and m. Finally, it was concluded that the best algorithm in terms of the Taylor diagram for pnf output is the MPR algorithm and the worst is the ECR algorithm and the pattern of gamma changes shows that the ideal value of gamma is the biggest when pnf levels fall in tandem with their growth.Publication Metadata only Calculating minimum droplet diameter in dripping, spindle, and cone-jet modes based on experimental data in the electrospray process(ELSEVIER SCIENCE INC, 2024) Wang, Shi; Yazdekhasti, Arian; Alizadeh, As'ad; Basem, Ali; Jasim, Dheyaa J.; Al-Rubaye, Ameer H.; Salahshour, Soheil; Toghraie, Davood; Shenyang Institute of Engineering; Isfahan University of Technology; Cihan University-Erbil; University of Warith Alanbiyaa; Al-Amarah University College; Al-Kitab University; Okan University; Bahcesehir University; Lebanese American University; Islamic Azad UniversityThe paper is an experimental investigation of the effect of process parameters like applied voltage, volume flow rate and distance between two electrodes through dimensionless numbers in the electrospray process, droplet diameter in particular. In addition, this study attempts to present new estimated formulas based on experimental data to ease primary evaluations of droplet diameter before any performing electrospray applications in order to reduce time and cost spending. For this purpose, a high-speed camera was used to have clear evidence of the influence of the parameters on the diameter of liquid droplets generated from acetic acid and their electrohydrodynamic (EHD) modes. In this study, the time evolution of EHD modes detected during experiments and the reasons for EHD mode geometric shapes were physically stated. The results show that decreasing the distance between two electrodes producing an electric field causes a reduction in the voltage to meet desired droplet diameter (needed minimum droplet diameter) and a switch of EHD modes occurs in lower voltages. This paper also demonstrates that the percentage of decreasing droplet diameter during the electrospray process has the extremum which can change based on changing effective parameters. Furthermore, a quick estimation for calculating minimum droplet diameter in dripping, spindle, and cone-jet modes based on experimental data is presented because it was observed the decreasing percentage of droplet diameters in each EHD mode is approximately constant unexpectedly whereas all effective parameters of the electrospray process in this research tested. Finally, another equation was also driven to calculate the decreasing percentage of droplet diameter based on dimensionless numbers, Weber and Electric Capillary numbers, using experimental data to acquire appropriate means for the primary forecast of the trend of droplet diameter production being useful for various of electrospray processes such as drug delivery, powder production, encapsulation, thin films, and electrospinning.Publication Metadata only The effect of initial temperature and oxygen ratio on air-methane catalytic combustion in a helical microchannel using molecular dynamics approach(ELSEVIER, 2024) An, Qing; Basem, Ali; Alizadeh, As'ad; Al-Rubaye, Ameer H.; Jasim, Dheyaa J.; Tang, Miao; Salahshour, Soheil; Sabetvand, Rozbeh; Wuchang University of Technology; University of Warith Alanbiyaa; Cihan University-Erbil; Al-Kitab University; Al-Amarah University College; Okan University; Bahcesehir University; Lebanese American University; Amirkabir University of TechnologyIn industrial environments where combustion (Com.) is widely carried out, such as steam power plants, gas turbines, etc., the most common way to express the amount of oxygen consumption is its excess percentage in addition to the stoichiometric ratio, and the nearness of a catalyst causes combustion to happen at a high ratio. There are different influential factors in catalytic combustion, such as initial temperature (IT). The current study uses the molecular dynamics (MD) method to examine how the IT and oxygen ratio affect air -methane catalytic combustion in a heli- cal microchannel. The LAMMPS package was used to conduct this investigation. This study exam- ines how simulated structures function during burning in excess oxygen (EO) and oxygen defi- ciency (OD). Furthermore, palladium was used as a catalyst with an atomic ratio of 4 %. The find- ings show that raising the IT may enhance its atomic behavior (AB) and thermal performance (TP). The maximum velocity (MV) and maximum temperature (MT) increased from 0.26 angstrom/ps and 1617 K to 0.45 angstrom/ps and 1891 K in EO as IT increased from 300 to 700 K. By accelerating the particle velocity, it is anticipated that the catalytic combustion process would proceed more quickly. As a result, after increasing the IT to 700 K, the heat flux (HF), thermal conductivity (TC), and combustion efficiency (CE) increase to 2101 W/m2, 1.23 W/m. K, and 93 %, respec- tively. On the other hand, the results show that increasing IT affects combustion performance in the presence of OD. In the presence of OD, the MV and CE converge to 0.38 angstrom/ps and 94 % at 700 K. Therefore. It can be concluded that the atomic ratio of oxygen and the IT can significantly affect combustion process.Publication Metadata only Optimum tilt and azimuth angles of heat pipe solar collector, an experimental approach(ELSEVIER, 2024) Wei, Donghui; Basem, Ali; Alizadeh, As'ad; Jasim, Dheyaa J.; Aljaafari, Haydar A. S.; Fazilati, Mohammadali; Mehmandoust, Babak; Salahshour, Soheil; Northeast Agricultural University - China; University of Warith Alanbiyaa; Cihan University-Erbil; Al-Amarah University College; University of Iowa; University of Technology- Iraq; Islamic Azad University; Okan University; Bahcesehir University; Lebanese American UniversityThe application of solar energy as the widest, clean and free source of thermal energy requires the solar collector. As one of the common types of solar collector, heat pipe solar collector has been investigated. The thermal performance of a solar heat pipe collector was simulated using the anisotropic sky radiation model in eight different tilt angles and thirteen azimuth angles at the location of Isfahan City, Iran. The obtained theoretical results were compared with experimental ones and an average discrepancy of 5 % was obtained. After approving the chosen model, the optimum seasonal and yearly tilt angles were calculated and the correlations also were drawn from a written subroutine. The results show that through spring and summer, the optimum tilt angle is somewhat less and through autumn and winter the optimum tilt angle is beyond the latitude angle with the largest difference in spring and autumn. For the whole year and under the conditions of the present study, the optimum tilt angle is nearly the same as the latitude angle of the location.Publication Metadata only Numerical analysis of turbulent natural convection in the presence of wire-induced non-uniform magnetic field inside a porous medium(PERGAMON-ELSEVIER SCIENCE LTD, 2025) Guo, Bin; Basem, Ali; Alizadeh, As'ad; Najm, Akram Shakir; Kazemi-Varnamkhasti, Hamed; Jasim, Dheyaa J.; Salahshour, Soheil; University of Warith Alanbiyaa; Cihan University-Erbil; University of Technology- Iraq; Shahid Beheshti University; Al-Amarah University College; Okan University; Bahcesehir University; Lebanese American UniversityTurbulent natural convection of Fe 3 O 4-water ferrofluid with Reynolds Averaged Navier-Stokes (RANS) based turbulence model of k- win the presence of wire-induced non-uniform magnetic field inside a porous medium is simulated, numerically. To discretize and solve the related equations the FVM method and SIMPLE algorithm are implemented. For applying the non-uniform magnetic field, two wires carrying electric currents have been installed below and above the enclosure. Simulations are implemented for different Rayleigh numbers (106 <= Ra <= 108), porosity number of (n = 0.5 and 0.9), volume fractions of nanoparticles (0 <= <= 4%), magnetic field numbers (0 <= MFN <= 109). According to the results, in low Rayleigh number and high MFN, at the high-volume fraction of nanoparticles, applying a magnetic field optimally influenced transfer and Nusselt number. At high porosity numbers, low Ra numbers and = 4%, the heat transfer rate improved by up to 17%. However, at high Ra numbers and high , applying the magnetic field reduces the Nusselt number by almost 12 %.Publication Metadata only Investigation of the effect of cefazolin drug on swelling and mechanical and thermal properties of polyacrylamide-hydrogels using molecular dynamics approach(ELSEVIER, 2024) Basem, Ali; Jasim, Dheyaa J.; Alizadeh, As'ad; Salahshour, Soheil; Hashemian, Mohammad; University of Warith Alanbiyaa; Al-Amarah University College; Cihan University-Erbil; Okan University; Bahcesehir University; Lebanese American University; Islamic Azad UniversityThrough molecular dynamics simulations, this study examined the interactions between water and cross-linked hydrogels, with a particular emphasis on the effect of cefazolin drug loading. The swelling percentage, ultimate strength, Young's modulus, heat flux, and thermal conductivity of polyacrylamide-based hydrogels were evaluated in relation to their respective drug concentrations (0 %, 3 %, 5 %, 15 %, and 30 %). The study results show that after 10 ns, the kinetic energy and total energy of atomic specimens stabilized at values of 12,532 and 12,488 kcal/mol, respectively. As the drug ratio increased from 0 to 15 %, the volume of polyacrylamide decreased from 342,722 to 302,583 angstrom(3), with further increased from 15 to 30 % reducing the volume to 298,562 angstrom(3) due to pore and interatomic space closure by the drug. As the drug ratio increased from 0 to 3 %, the ultimate strength of the simulated structure slightly decreased from 0.0333 to 0.0332 MPa, then increased to 0.0333 MPa at a 5 % drug ratio, and remained constant beyond that. The heat flux value decreased from 1583 to 1563 W/m(2) with a drug ratio increase from 0 to 3 %, but then increased from 1563 to 1585 W/m(2) as the drug ratio further increased to 30 %. Increasing the drug ratio had no effect on the thermal properties of simulated structure, and the thermal conductivity remained constant at 0.57 W/m.K with increasing cefazolin dosage.