Salahshour, Soheıl
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Name Variants
Soheil Salahshour
Salahshour, Soheıl
Soheil SALAHSHOUR
Salahshour, Soheil
Soheıl Salahshour
Soheıl SALAHSHOUR
SALAHSHOUR Soheıl
Salahshour Soheil
Salahshour S.
Salahshour, S.
SALAHSHOUR Soheil
Salahshour Soheıl
Soheıl, Salahshour
S., Salahshour
Salahshour,S.
Salahshour, Soheıl
Soheil SALAHSHOUR
Salahshour, Soheil
Soheıl Salahshour
Soheıl SALAHSHOUR
SALAHSHOUR Soheıl
Salahshour Soheil
Salahshour S.
Salahshour, S.
SALAHSHOUR Soheil
Salahshour Soheıl
Soheıl, Salahshour
S., Salahshour
Salahshour,S.
Job Title
Dr.Öğr.Üyesi
Email Address
soheil.salahshour@okan.edu.tr
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Scholarly Output
139
Articles
136
Citation Count
26
Supervised Theses
0
27 results
Scholarly Output Search Results
Now showing 1 - 10 of 27
Article Citation Count: 0Performance of proton exchange membrane fuel cell system by considering the effects of the gas diffusion layer thickness, catalyst layer thickness, and operating temperature of the cell(Elsevier, 2024) Hamedi, Sajad; Salahshour, Soheıl; Al-Zahiwat, Murtadha M.; AL-Hamairy, Ahmed Khudhair; Jasim, Dheyaa J.; Salahshour, Soheil; Esmaeili, ShBackground: In this research, the effect of anode and cathode channel cross-sectional shape on the performance of PEM fuel cell was investigated and the appropriate length and dimensions of the channel were determined. Finally, for the determined geometric conditions, the cell performance at different voltages was investigated. Methods: The purpose of this study was to investigate the structural characteristics of the fuel cell on its performance. The results show that the pressure and temperature in the catalyst layer (CL) of the cathode side are greater than the anode, and the temperature in the central regions of the catalyst layer is higher than the lateral regions. Also, the channel with a length of 100 mm is optimal in terms of producing the maximum current density and the amount of pressure drop is much lower than the channel with a length of 150 mm, which reduces the power consumption of the cell. Significant findings: In general, a higher electric current is produced by increasing the thickness of the gas diffusion layer (GDL) and the catalyst layer. At a voltage of 0.8 V, with increasing thickness from 0.25 mm to 0.5 mm, the current density increases above 6 %. The percentage increase in current density at 60 degrees C-80 - 80 degrees C for 0.85 V and 0.75 V voltages is 42.1 % and 9.28 %, respectively.Article Citation Count: 0Effects of wall material, working fluid, and barriers on performance of a nano flat-plate heat pipe: Molecular dynamics simulation(Elsevier, 2024) Salahshour, Soheıl; Basem, Ali; Alizadeh, As'ad; Abdul-Redha, Hadeel Kareem; Ahmadi, Gholamreza; Salahshour, SoheilThe use of microscale heat generating or heat transfer equipment with higher capacity and smaller dimensions requires more accurate management and better disposal of their produced heat. This makes the necessity of designing and manufacturing superconductors completely clear. In the meantime, the nano-grooved flat plate heat pipes (FPHP) have gained the industry's attention. Due to the provision of the conditions for manufacturing devices on a micro scale, it is possible to integrate this type of heat pipe with other microscale devices. In the meantime, understanding their behavior on small scales requires more studies. In this paper, the effect of using barriers to improve the thermal performance of a nano FPHP (1050 x 220 x 95 & Aring;) is evaluated. Simulations are performed on a molecular scale through molecular dynamics (MD) simulations using LAMMPS (R) software. Platinum (Pt), copper (Cu), and aluminum (Al) are used for HP's body. In addition, argon (Ar), water (H2O), and ethanol (EtOH) are used as working fluids. The results show that increasing the number of barriers leads to improved thermal performance. Different cases include different teeth called barriers augmented inside HP are simulated. The combination of Cu-EtOH showed the best thermal performance (about 18 % better than other cases). Cubical barriers have more heat flux improvement than conical ones (from 3.5 % up to about 10.7 %). Among the three fluids used, EtOH leads to a better heat flux (about 6 % for Pt and up to 15 % for Cu). Using 24 barriers, a very favorable result of 1992 W/cm2 heat flux is achieved. In this case, the minimum heat flux is obtained by using Pt and Ar and is 1609 W/cm2. Using Ar and the cub shape barriers, the highest mass transfer rates for Pt, Cu, and Al are about 35.2 %, 38.9 %, and 38 %, respectively.Article Citation Count: 0Mechanical properties of aluminum /SiC bulk composites fabricated by aggregate accumulative press bonding and stir-casting process(Elsevier, 2024) Daneshmand, Saeed; Salahshour, Soheıl; Basem, Ali; Mohammed, Abrar A.; Wais, Alaa Mohammed Hussein; Salahshour, Soheil; Hekmatifar, MaboudToday, the emergence of composite structures can be considered a huge transformation on an industrial scale, especially in the transportation industry. Among all the structures made by the composite process, aluminum- based composites (AMMCs) are particularly popular both in the scientific and industrial fields. These structures are very light in weight and, at the same time, have significant strength. The ability to work with the machine in these structures is very high, and their plastic deformation is so high that they can be used in different industry sectors. Today, various methods are used to induce plastic deformation in aluminum-based composites (AMMCs). One of these methods is called aggregate accumulative press bonding (APB). The advantage of this method compared to other methods is that this method can create a homogeneous nanocomposite with ultra-fine grains. In the present study, the investigation of mechanical properties (MP's) of AA5083/5%SiC bulk composites fabricated via APB vs. pressing temperature (Temp) was conducted. All primary composite samples were fabricated via the stir-casting process (SCP). APB process was done on composite samples as a supplementary process. Finally, the effect of pressing Temp on the MP and microstructural properties (MSP) was investigated. The pressing Temp was varied between the ambient Temp's up to T = 300 degrees C. The MP were measured in this study by the Vickers micro-hardness (VMH) test, tensile test, and scanning electron microscopy (SEM). It was realized that the pressing Temp has a prominent effect on the MS and MP of fabricated 400 degrees C. degrees C . Samples fabricated at the ambient Temp have low ductility and high strength while for samples fabricated at T = 300 degrees C, the elongation and toughness values were higher than others. The TS of samples after 2 steps of APB at T = 200 degrees C degrees C is 1.31 times more than that of fabricated at T = 300 degrees C. degrees C . Elongation was reduced sharply to 1.8% after the two steps at the ambient Temp, while it was 21% for the annealed AA5083.Article Citation Count: 0Investigation of the effect of model structure type on the thermal performance of phase change materials through molecular dynamics simulation(Elsevier, 2024) Aich, Walid; Salahshour, Soheıl; Sultan, Abbas J.; Ghabra, Amer Ali; Eladeb, Aboulbaba; Kolsi, Lioua; Baghaei, Sh.Using molecular dynamics (MD) simulation, the thermal efficacy of phase change materials (PCMs) in solar energy applications and solar thermal energy storage was evaluated. In order to achieve this objective, an investigation was conducted into the structure's temperature (Temp), velocity, and density profiles, heat flux, thermal conductivity, charge and discharge time, and thermal stability. Three models of tube, shell, and shell-tube were adopted to scrutinize the atomic behavior and thermal performance (TP) of PCMs. The results show that the maximum density of the tube model, shell model, and shell-tube model was 0.042, 0.036, and 0.033 atom/A 3 , respectively. Other numerical results showed that the maximum velocity for the three structures of tube model, shell model, and shell-tube model under the initial Temp of 300 K was 0.0066 & Aring;/fs, 0.0059 & Aring;/fs, and 0.0054 & Aring;/fs, respectively. The structure in the tube model manifested more optimal atomic behavior compared to other models. The TP of simulated structures revealed that the heat flux of the samples reached 5.69, 4.85, and 4.15 W/m 2 , respectively. Finally, the thermal conductivity of the structures approached 1.35, 1.32, and 1.31 W/m.K, respectively. The results suggested that the tube model had the most thermal stability and showed the optimal thermal behavior in the simulation. The findings of this study, particularly the optimal atomic behavior and thermal stability of the tube model, can be useful in designing and optimizing PCMs for solar energy applications. In general, this research had the potential to significantly advance the field of solar energy system efficiency and cost-effectiveness.Article Citation Count: 0Improving the thermal performance of nano-encapsulated phase change material slurry by changing fins configurations in a rectangular cavity(Pergamon-elsevier Science Ltd, 2024) Zhang, Lei; Salahshour, Soheıl; Basem, Ali; Hamza, Hussein; Sultan, Abbas J.; Al-Bahrani, Mohammed; Alizadeh, A.The transition to renewable energy is heavily reliant on batteries and energy storage devices, making them a crucial technology of the modern era. The sensitivity of batteries to temperature has been a constant challenge in the development of this technology. Thermal management, creating uniform temperature and proper heat transfer by cooling is very critical in these systems. The popularity of nePCMs is increasing in energy storage and cooling systems due to their remarkable latent heat during phase change. This is because nano-encapsulated phase change materials are being widely used. They are considered to be one of the most promising particles in this application. This research is a case study free convection of nano-encapsulated Phase Change Materials (nePCM) slurry with a volume fraction of 5% and a polyurethane shell and n-nonadecane core in a rectangular chamber was homogeneously simulated and investigated. The temperature of the left wall remains consistent and there are three fins present to enhance the transfer of heat. The governing equations are transformed into dimensionless form and solved numerically using OpenFOAM software. Various parameters such as fin geometry, chamber angle, Rayleigh number, and melting point temperature are altered to assess their impact on velocity profile components, temperature distribution, Cr contours, Nusselt number, and fin efficiency. Based on the results, Y-shape and T-shape fin geometries can increase the efficiency of water-nePCM fluid by about 10% for Ra = 100 and about 26 % for Ra = 104 compared to I-shape fin. Also, increasing the Rayleigh number from Ra = 100 to Ra = 104 improves the average Nusselt number for water-nePCM nanofluids by about 100 % in each of the fin geometries.Article Citation Count: 1The 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; Salahshour, Soheıl; Bagheritabar, Mohsen; Jasim, Dheyaa J.; Keivani, Babak; Kareem, Anaheed Hussein; Esmaeili, ShadiToday, 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.Article Citation Count: 0Numerical investigation of the heat flux frequency effect on the doxorubicin absorption by Bio MOF11 carrier: A molecular dynamics approach(Elsevier, 2024) Ben Said, Lotfi; Salahshour, Soheıl; Jasim, Dheyaa J.; Aljaafari, Haydar A. S.; Ayadi, Badreddine; Aich, Walid; Eftekhari, S. AliThe 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.Article Citation Count: 0The effect of amplitude of heat flux on the adsorption of doxorubicin by MOF11 bio-carrier using molecular dynamics simulation(Pergamon-elsevier Science Ltd, 2024) Salahshour, Soheıl; Basem, Ali; Jasim, Dheyaa J.; Raja, Waleed; Aljaafari, Haydar A. S.; Salahshour, Soheil; Hashemian, MohammadA 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.Article Citation Count: 1Utilizing 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; Salahshour, Soheıl; Alizadeh, As'ad; Basem, Ali; Jasim, Dheyaa J.; Sultan, Abbas J.; Piromradian, MostafaThis 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.Article Citation Count: 0Using different Heuristic strategies and an adaptive Neuro-Fuzzy inference system for multi-objective optimization of Hybrid Nanofluid to provide an efficient thermal behavior(Elsevier, 2024) Wang, Zhe; Salahshour, Soheıl; Kazim, Khudhaier J.; Basem, Ali; Al-fanhrawi, Halah Jawad; Dacto, Karina Elizabeth Cajamarca; Eftekhari, S. AliThe importance of multi-objective optimization in hybrid nanofluid research lies in its wide-ranging applications across fields such as microelectronics, aerospace, and renewable energy. These specialized fluids hold the potential to elevate the performance and efficiency of diverse systems through enhanced heat transfer capabilities. This research endeavor is centered around optimizing a hybrid nanofluid composed of Silicon Oxide-MWCNTAlumina/Water by leveraging a mix of heuristic approaches and an adaptive neuro-fuzzy inference system. To this end, the most influential set of input parameters has been identified using four state-of-the-art algorithms: Non-dominated Genetic Algorithm, multi-objective particle swarm optimization, Strength Pareto Evolutionary Algorithm 2, and Pareto Envelope-based Selection Algorithm 2. The goal of the optimization process is to modify the temperature (T = 20 degrees C to 60 degrees C) and the volume fraction of nanoparticles (SVF=0.1 % to 0.5 %). Finding the optimal combination of these parameters that results in the hybrid nanofluid with the maximum thermal conductivity (knf) and the lowest dynamic viscosity is the main objective. The findings of this research have the potential to drastically improve the performance of systems in a variety of applications and to change the creation of sophisticated, high-efficiency heat transfer fluids.
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