Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed
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Publication Metadata only Influence of graphene nanoplate size and heat flux on nanofluid heat exchanger performance: A molecular dynamics approach(PERGAMON-ELSEVIER SCIENCE LTD, 2025) Yang, Zhongxiu; Basem, Ali; Jasim, Dheyaa J.; Singh, Narinderjit Singh Sawaran; Saeidlou, Salman; Al-Bahrani, Mohammed; Sajadi, S. Mohammad; Salahshour, Soheil; Hasanabad, Ali Mohammadi; Weifang University of Science & Technology; University of Warith Alanbiyaa; Al-Maarif University; INTI International University; Canterbury Christ Church University; Al-Mustaqbal University College; Okan University; Bahcesehir University; Ministry of Education of Azerbaijan Republic; Khazar UniversityThis study aimed to enhance the thermal efficiency of nanofluid-based heat exchangers by exploring the simultaneous effects of external heat flux and graphene nanoplate sizes on thermal and structural characteristics. Effective heat transfer is a critical requirement for managing heat in microscale systems, where optimizing the thermal performance of nanofluids can improve device performance. Molecular dynamics simulations were carried out of a sinusoidal inner surface copper heat exchanger coated with silicon nanoparticles to demonstrate atomic-level interaction within the nanofluid. The significant findings showed that while an external rising heat flux decreased heat flux from 41.7 to 37.26 W/m2 and thermal conductivity of nanofluid from 14.53 to 13.80 W/ m & sdot,K, only an increase in viscosity from 0.32 to 0.49 mPa & sdot,s, the agglomeration time of nanoparticles decreased from 3.71 to 3.33 ns and friction coefficient from 0.022 to 0.015, could indicate a difference in particle behavior responding to the thermal stress. However, the size of the graphene nanoplate from 5 to 15 & Aring, increases the heat flux from 40.05 to 46.77 W/m2 and thermal conductivity of the nanofluid from 14.15 to 14.99 W/m & sdot,K, since the larger graphene nanoplate films can produce a more substantial covalent bonding and link interlayer coupling. In contrast, the larger nanoplate also enhanced viscosity from 0.30 to 0.39 mPa & sdot,s, aggregation time from 3.64 to 4.01 ns, and friction coefficient from 0.020 to 0.026, which indicated lower particle mobility. This study was the first of its kind to contribute to the existing knowledge gap by investigating the simultaneous effect of both the nanoplate size and external heat flux in an oscillating microchannel heat exchanger. The knowledge provided offers an experimental pathway in optimizing the nanofluid properties and the heat exchanger geometry for improved thermal management for compact and microscale applications.Publication Metadata only Numerical investigation of the heat flux frequency effect on the doxorubicin absorption by Bio MOF11 carrier: A molecular dynamics approach(ELSEVIER, 2024) Ben Said, Lotfi; Basem, Ali; Jasim, Dheyaa J.; Aljaafari, Haydar A. S.; Ayadi, Badreddine; Aich, Walid; Salahshour, Soheil; Eftekhari, S. Ali; University Ha'il; Universite de Sfax; Ecole Nationale dIngenieurs de Sfax (ENIS); University of Warith Alanbiyaa; Al-Amarah University College; University of Iowa; University of Technology- Iraq; Universite de Sfax; Ecole Nationale dIngenieurs de Sfax (ENIS); Universite de Monastir; Okan University; Bahcesehir University; Lebanese American University; Islamic Azad UniversityThe present study investigated the effect of heat flux frequency on doxorubicin adsorption by bio MOF11 biocarrier using molecular dynamics simulation. This simulation examined the effect of several heat flux frequencies (0.001, 0.002, 0.005, and 0.010 1/fs) on the quantity of drug particles absorbed, mean square displacement (MSD), diffusion coefficient, and interaction energy. The present outputs of simulations predicted the structural stability of the modeled MOF-drug system in 300 K. Also, simulation outputs predicted by frequency optimization, the adsorption of target drug inside MOF11 maximized, and efficiency of this sample in actual clinical applications, such as drug delivery process increased. Numerically, the optimum value of frequency was estimated to be 0.005 1/fs. Using this heat setting, the interaction energy between MOF 11 and the doxorubicin drug increased to -929.05 kcal/mol, and the number of penetrated drug particles inside MOF11 converged to 207 atoms. The results reveal that the MSD parameter reached 64.82 angstrom 2 after 100000 -time steps. By increasing frequency to 0.005 fs-1, this increased to 78.05 angstrom 2. By increasing MSD parameter, the drug diffusion process effectively occurred, and the diffusion coefficient increased from 67.29 to 82.47 nm2/ns. It is expected that the findings of present investigation guide the design of more efficient drug delivery platforms, enhance drugcarrier interactions, improve manufacturing processes, and aid in developing novel nanomaterials with enhanced adsorption properties for various applications.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 The computational study of silicon doping and atomic defect influences on the CNT's nano-pumping process: Molecular dynamics approach(PERGAMON-ELSEVIER SCIENCE LTD, 2024) Hao, Yazhuo; Basem, Ali; Bagheritabar, Mohsen; Jasim, Dheyaa J.; Keivani, Babak; Kareem, Anaheed Hussein; Sultan, Abbas J.; Salahshour, Soheil; Esmaeili, Shadi; University of Warith Alanbiyaa; Al-Amarah University College; Ege University; Al-Ayen University; University of Technology- Iraq; University of Missouri System; Missouri University of Science & Technology; Okan University; Bahcesehir University; Lebanese American University; Semnan UniversityToday, nanotubes are used in biological systems due to their low toxicity and unique functionalization capability. Carbon nanotubes (CNTs) are considered one of the best carriers in drug delivery systems. In this study, the effect of silicon (Si) doping and atomic defects on the CNT's nano-pumping process has been investigated by molecular dynamics (MD) simulation, and the changes in kinetic energy, potential energy, entropy, stress, and nanopumping time are investigated. The results show that increasing Si doping increases CNT's C20 molecule exit time. Numerically, as the Si doping increases from 0.05% to 4%, the exit time of the C20 molecule increases from 8.07 to 9.16 ps. Also, an increase in Si doping leads to a decrease in kinetic energy and lattice stress and an increase in the potential energy and entropy of the system. So, the nanostructure with 1% doping performs better (optimal performance) than other samples. The effect of atomic defect with 0.5%, 1% and 1.5% on CNT's surface is investigated. The results show that the kinetic energy of samples decreases by increasing atomic defect from 0.5% to 1.5%. Also, the results show that the kinetic energy of the sample with a 0.5% atomic defect is higher than its defect-free state. The numerical results show that potential energy and entropy increase with the increasing the atomic defect. This increase can lead to an increase in the time it takes for the nanoparticle to exit the nanotube and disrupt the nano-pumping process.Publication Metadata only The effect of amplitude of heat flux on the adsorption of doxorubicin by MOF11 bio-carrier using molecular dynamics simulation(PERGAMON-ELSEVIER SCIENCE LTD, 2024) Hu, Panpan; Basem, Ali; Jasim, Dheyaa J.; Raja, Waleed; Aljaafari, Haydar A. S.; Salahshour, Soheil; Hashemian, Mohammad; Lvliang University; University of Warith Alanbiyaa; Al-Amarah University College; Madenat Alelem University College; University of Iowa; University of Technology- Iraq; Okan University; Bahcesehir University; Lebanese American University; Islamic Azad UniversityA common chemotherapy drug, doxorubicin's effectiveness is restricted by its quick excretion from the body and poor solubility. Because of their large surface area and adjustable pore size, bio MOF11 carriers demonstrated promise as drug delivery systems. Examining how external heat flux amplitude (EHFA) affects bio MOF11's ability to adsorb doxorubicin can reveal ways to improve drug loading and release, which will improve drug delivery. Moreover, by shortening the time needed for adsorption (Ads) and desorption, using EHFA in drug Ads processes can increase energy efficiency. Through comprehending the effect of EHFA on the Ads procedure, researchers can ascertain the ideal circumstances for optimizing drug loading while reducing energy usage. The current work examined the effect of EHFA amplitude on doxorubicin Ads via a bio MOF11 carrier using molecular dynamics (MD) modeling. According to MD data, EHFA was expected to have a significant effect on the atomistic evolution of the proposed drug-MOF11 system. The system's interaction energy (IE) and diffusion coefficient rose from-937.27 kcal/mol and 61.40 nm(2)/ns(2)/ns to-984.08 kcal/mol and 75.16 nm(2)/ns(2)/ns when EHFA changed from 0.01 to 0.05 W/m(2). Increasing EHFA to 0.05 W/m2 2 resulted in a mean square displacement (MSD) parameter of 69.16 & Aring,2. 2 . Therefore, based on the numerical results from this study, it can be said that the doxorubicin drug-MOF11 system changed and atomically evolved when the applied EHFA changes in magnitude.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 pressure on the thermal behavior of the silica aerogel/PCM/CuO nanostructure inside a cylindrical duct using molecular dynamics simulation(ELSEVIER, 2024) Gao, Yuanfei; Basem, Ali; Sajadi, S. Mohammad; Jasim, Dheyaa J.; Nasajpour-Esfahani, Navid; Salahshour, Soheil; Esmaeili, Shadi; Baghaei, Sh.; Nanyang Normal College; University of Warith Alanbiyaa; Cihan University-Erbil; Al-Amarah University College; University System of Georgia; Georgia Institute of Technology; Okan University; Bahcesehir University; Lebanese American University; Semnan University; Islamic Azad UniversityAmidst escalating fuel expenses and growing concerns over greenhouse gas pollution, the adoption of renewable alternative energy sources has become increasingly imperative. In response, scientists are fervently dedicated to identifying energy-saving solutions that are readily adaptable. Notably, silica aerogels have demonstrated remarkable efficacy in temperature management under both hot and cold conditions, while phase change materials are renowned for their capacity to store thermal energy. The study examines the effect of initial pressure on the thermal performance of silica aerogel/PCM/CuO nanostructure in a cylindrical duct. This was investigated using MD simulations and the LAMMPS software. The study will investigate several elements, such as density, velocity, temperature patterns, heat flux, thermal conductivity, and charge time or discharge time of the simulated structure. According to the results, with an increase in the initial pressure, the maximum density increases from 0.0838 atom/angstrom 3 to 0.0852 atom/angstrom 3, and the maximum velocity decreases from 0.0091 angstrom/fs to 0.0081 angstrom/fs. Also, the findings show that, by increasing the initial pressure, the temperature decreases from 931.42 K to 895.63 K, and thermal conductivity and heat flux decrease to 1.56 W/m.K and 56.66 W/m2 with increasing the initial pressure to 5 bar. Finally, the results show that charging time increases to 6.34 ns at 5 bar. The increase in charging time with increasing initial pressure may be attributed to the reduced mobility of particles within the structure as a result of the higher pressure. The findings of this study can help for a better understanding of energy-saving solutions, advanced thermal management systems, and the design of efficient energy storage technologies tailored to specific pressure-related operating conditions.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 Multi-objective optimization of buckling load and natural frequency in functionally graded porous nanobeams using non-dominated sorting genetic Algorithm-II(PERGAMON-ELSEVIER SCIENCE LTD, 2025) Liu, Hao; Basem, Ali; Jasim, Dheyaa J.; Hashemian, Mohammad; Eftekhari, S. Ali; Al-fanhrawi, Halah Jawad; Abdullaeva, Barno; Salahshour, Soheil; Hengshui University; University of Warith Alanbiyaa; Al-Amarah University College; Islamic Azad University; Al-Mustaqbal University College; Tashkent State Pedagogical University; Okan University; Bahcesehir University; Piri Reis UniversityThis study investigates the fundamental natural frequency and critical buckling load of Functionally Graded Porous nanobeams supported by an elastic medium, addressing the need for optimized designs in advanced nanostructures. Utilizing a Genetic Algorithm and Non-Dominated Sorting Genetic Algorithm-II, the research aims to identify the Pareto front for these two objectives while incorporating surface effects. The nanobeam is modeled using Nonlocal Strain Gradient Theory and Gurtin-Murdoch surface elasticity theory, with governing equations solved via the Generalized Differential Quadrature Method based on Reddy's Third-order Shear Deformation Theory. Key input parameters, including temperature gradient, residual surface stress, porosity, and elastic foundation properties, are varied to train two Artificial Neural Networks for output prediction. Results indicate that for the fundamental frequency, significant factors include the material length scale and the Pasternak shear foundation parameter, while the critical buckling load is mainly influenced by the temperature gradient and the same material parameters. These findings provide critical insights for designers, allowing them to make informed decisions based on optimal values for eight input parameters.