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
158
Articles
154
Citation Count
26
Supervised Theses
0
158 results
Scholarly Output Search Results
Now showing 1 - 10 of 158
Article Citation Count: 0Simulation of natural convection of nanofluid inside a square cavity using experimental data by lattice Boltzmann method(Elsevier, 2024) Weng, Lijie; Salahshour, Soheıl; Sajadi, S. Mohammad; Kumar, Anjan; Ulloa, Nestor; Abdulameer, Sajjad Firas; Baghaei, Sh.The Lattice Boltzmann Method (LBM) is one of the suggested numerical approaches that has been shown to accurately estimate the increase in heat transfer caused by nanofluids. Several approaches to the prediction of the characteristics of nanofluids are investigated, and it is shown to what degree the classical models are accurate representations of the experimental data. The first thing that was done in this study was to explain the thermophysical parameters of the Ethylene Glycol (EG)-iron nanofluid that was employed. The effect of the Rayleigh number, the volume fraction of nanoparticles (phi), and the cavity angle (theta) on the isotherms and the average Nusselt number (Nuavg) are investigated. Finally, the effect of the adiabatic fin on the flow is investigated, and it is demonstrated in which scenario the adiabatic vane will be the most effective. The findings demonstrate that raising the Rayleigh number to 105 and 106 causes the heat to be transferred under the adiabatic fin. This finding suggests that the buoyancy force has a stronger influence on the heat transfer process when it is carried out close to the source of the cold. In general, if the Rayleigh number is increased, the rate of heat transfer in the fluid will rise as well. The Nu avg is increased by 44 % when the Ra number is increased from 103 to 105, and it is increased by 118 % when the Ra number is increased from 105 to 106. The chances of heat entering the cold source are reduced when the adiabatic fin is longer and situated lower. There is a wider cold zone within the hollow when Lf = 80 and Hf = 20, indicating that less heat is entering the cold source.Article Citation Count: 1Thermal performance of 3D Darcy-forchheimer porous rectangular wavy enclosures containing a water-Fe3O4 ferro-nanofluid under magnetic fields(Elsevier, 2024) Abderrahmane, Aissa; Salahshour, Soheıl; Ghodratallah, Pooya; Jasim, Dheyaa J.; Rawa, Muhyaddine; Qasem, Naef A. A.; Salahshour, SoheilIn the perennial quest for heightened efficiency in heat transfer applications, the inadequacy of water's thermal properties necessitates the exploration of innovative solutions. Nanofluids, particularly those comprising water-Fe3O4 nanoliquid, emerge as promising candidates for aug-menting 3D natural convection and entropy generation within permeable wavy-walled rectan-gular enclosures. The present investigation employs a comprehensive mathematical framework, incorporating the Navier-Stokes equations, magnetic field considerations, and the intricate Darcy-Forchheimer porous media. Utilizing the Galerkin finite element method (GFEM) within the computational domain of COMSOL software, we resolve the system of coupled nonlinear partial differential equations, meticulously derived through non-dimensionalization. Graphical repre-sentations meticulously elucidate the nuanced impacts of Rayleigh and Darcy numbers on flow streamlines, temperature distribution, Nu number, and the proportions of global and local ther-mal entropy generation, frictional entropy generation, and total entropy generation. Our dis-cernments underscore that elevating Rayleigh and Darcy numbers yields a substantial augmentation exceeding 120% in convection flow, particularly prominent for Da = 10-2 vis -`a-vis 10-5 and Ra = 106 in comparison to 103. Intriguingly, the optimal positioning of heating surfaces at the bottom right or left surpasses configurations at the bottom middle by a noteworthy margin of approximately 22%. Moreover, the introduction of the Lorentz force, aligned with gravity, manifests a discernible inhibitory effect on flow dynamics, as evidenced by a notable 15% reduction in irreversibility at a Hartmann number of 100.Article Citation Count: 1Optimization of thermophysical properties of nanofluids using a hybrid procedure based on machine learning, multi-objective optimization, and multi-criteria decision-making(Elsevier Science Sa, 2024) Zhang, Tao; Salahshour, Soheıl; Sajadi, S. Mohammad; Jasim, Dheyaa J.; Nasajpour-Esfahani, Navid; Maleki, Hamid; Baghaei, Sh.The rheological and thermal behavior of nanofluids in real-world scenarios is significantly affected by their thermophysical properties (TPPs). Therefore, optimizing TPPs can remarkably improve the performance of nanofluids. In this regard, in the present study, a hybrid strategy is proposed that combines machine learning (ML), multi-objective optimization (MOO), and multi-criteria decision-making (MCDM) to select optimal parameters for water-based multi-walled carbon nanotubes (MWCNTs)-oxide hybrid nanofluids. In the first step, four critical TPPs, including density ratio (DR), viscosity ratio (VR), specific heat capacity ratio (SHCR), and thermal conductivity ratio (TCR), are modeled using two efficient ML techniques, the group method of data handling neural network (GMDH-NN) and combinatorial (COMBI) algorithm. In the next step, the superior models are subjected to a four-objective optimization by the well-known non-dominated sorting genetic algorithm II (NSGA-II), which aims to minimize DR/VR and maximize SHCR/TCR. This study considers volume fraction (VF), oxide nanoparticle (NP) type, and system temperature as optimization variables. In the final step, two prominent MCDM techniques, TOPSIS and VIKOR, were used to identify the desirable optimal points from the Pareto fronts generated by the MOO algorithm. ML results reveal the COMBI algorithm's superior reliability in accurately modeling various TPPs. The pattern of Pareto fronts for all oxide-NPs indicated that over one-third of the optimal points have a VF > 1.5 %. On the other hand, the distribution of optimal points across different temperature ranges varied significantly depending on the type of oxide-NPs. For Al2O3-based nanofluid, around 90 % of the optimal points were within 40-50 degrees C. Conversely, for nanofluids containing CeO2 NPs, only approximately 24 % of the optimal points were found within the same temperature range. Considering diverse scenarios for weighting TPPs in the MCDM process implied that combining CeO2/ZnO oxide-NPs with MWCNTs in water-based nanofluids is highly effective across various real-world applications.Article Citation Count: 0Changes in mechanical properties of copper-silver matrix welded by the iron blade by increasing initial pressure: A molecular dynamics approach(Elsevier, 2024) Ayadi, Badreddine; Salahshour, Soheıl; Sajadi, S. Mohammad; Nasajpour-Esfahani, Navid; Salahshour, Soheil; Esmaeili, Shadi; Elhag, Ahmed Faisal AhmedAtomic investigation of many common phenomena can be included as interesting achievements. Using these achievements makes it possible to design promising structures for various actual applications. The current research describes the mechanical performance of Ag and Cu samples after welding at various initial pressures. For this purpose, the Molecular Dynamics (MD) approach is used via the LAMMPS package. Technically, MD simulations are done in 2 main steps. Firstly, the atomic stability of welded Ag-Cu samples is described at various initial conditions (initial pressure). Then, tension test settings are implemented in equilibrated systems. The MD outputs indicate that the physical stability of the welded samples was altered by changing the initial pressure between 1 and 10 bar. Simulation results predict that the mechanical resistance of atomic samples decreases by enlarging the initial pressure. Numerically, the ultimate strength of the Ag-Cu matrixes decreases from 1.424 MPa to 1.241 MPa by increasing the initial pressure from 1 bar to 10 bar, respectively. This mechanical performance arises from atomic disorder created inside samples. So, it is expected that initial condition changes affect the atomic evolution of welded metallic samples, and this phenomenon should be considered in the design of mechanical structures in industrial cases.Article Citation Count: 2Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images(Pergamon-elsevier Science Ltd, 2024) Vats, Satvik; Salahshour, Soheıl; Singh, Karan; Katti, Anvesha; Ariffin, Mazeyanti Mohd; Ahmad, Mohammad Nazir; Salahshour, SoheilRapid treatment protocols such as X-ray and CT scans have played a crucial role in the diagnosis of tuberculosis (TB infection). Automatic detection of CXR is required to speed up patient treatment with accuracy. Consequently, it reduces the burden of patients on medical practitioners. The present paper proposes an incremental learning-based cascaded (ILCM) model to detect tuberculosis from Chest X-ray images. The proposed model also localizes the infected region on the CXR image. The experimental outcome, clearly indicates that the performance is better than the pre-trained model as tested on the local population data (93.20% overall accuracy), F1 score of 97.23% (harmonic mean of precision and recall). Where the Golden standard dataset was 83.32% overall accuracy, and F1 score 82.24%.Article Citation Count: 0Effect of external force on the dispersion of particles and permeability of substances via carbon nanotubes in reverse electrodialysis using molecular dynamics simulation(Elsevier B.V., 2024) Salahshour, Soheıl; Ali, A.B.M.; Almehizia, A.A.; Zen, A.A.; Salahshour, S.; Esmaeili, S.Background: Using novel technologies and solutions is crucial for producing clean water. There are different ways to remove dissolved salts from water. Methods: This study aimed to analyze the effect of an external force (EF) on the morphology of channels, the dispersion of particles, and the permeability of substances via carbon nanotubes in reverse electrodialysis. It was done using a computer simulation that studied the movement of molecules. This research aimed to study the effect of EF on the dispersion of particles and permeability of substances via carbon nanotubes using a reverse electrodialysis approach. The results show that increasing the EF from 0.0001 to 0.0005 eV/Å increased the electric current and fluid flow intensity from 5.31 e/ns and 211.31 atom/ns to 5.62 e/ns and 263.01 atom/ns. Moreover, the density decreased from 4.83 to 4.66 atom/nm3. Furthermore, the number of broken hydrogen bonds increased from 116 to 166. Significant findings: By understanding the effect of EF on particle movement and material passage through carbon nanotubes, researchers can optimize the design of reverse electrodialysis systems to enhance their performance. This can lead to more effective and cost-efficient water treatment solutions, crucial for producing clean water. © 2024 The Author(s)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: 0Design of stochastic neural networks for the fifth order system of singular engineering model(Pergamon-elsevier Science Ltd, 2024) Sabir, Zulqurnain; Salahshour, Soheıl; Hashem, Atef F.; Abdelkawy, M. A.; Salahshour, Soheil; Umar, MuhammadThe current investigations provides a stochastic platform using the computational Levenberg-Marquardt Backpropagation (LMB) neural network (NN) approach, i.e., LMB-NN for solving the fifth order Emden-Fowler system (FOEFS) of equations. The singular models are always considered tough due to the singularity by using the traditional schemes, hence the stochastic solvers handle efficiently the singular point exactly at zero. The solution of four types of equations based on the FOEFS is presented by using the singularity and shape factor values. To calculate the approximate solutions of the FOEFS of equations, the training, validation and testing performances are used to reduce the mean square error. The selection of the training data is 70%, while testing and validation performances are used as 10% and 20%. The scheme's correctness is performed through the result's comparison along with the negligible absolute error performances for each example of the FOEFS. Moreover, the relative study through different investigations-based error histograms, and correlation update the efficacy of the scheme.Article Citation Count: 0A new model for viscosity prediction for silica-alumina-MWCNT/Water hybrid nanofluid using nonlinear curve fitting(Elsevier - Division Reed Elsevier india Pvt Ltd, 2024) Qu, Meihong; Salahshour, Soheıl; Alizadeh, As'ad; Eftekhari, S. Ali; Nasajpour-Esfahani, Navid; Zekri, Hussein; Toghraie, DavoodOne of the most crucial concerns is improving industrial equipment's ability to transmit heat at a faster rate, hence minimizing energy loss. Viscosity is one of the key elements determining heat transmission in fluids. Therefore, it is crucial to research the viscosity of nanofluids (NF). In this study, the effect of temperature (T) and the volume fraction of nanoparticles (phi) on the viscosity of the silica-alumina-MWCNT/Water hybrid nanofluid (HNF) is examined. In this study, a nonlinear curve fitting is accurately fitted using MATLAB software and is used to identify the main effect, extracting the residuals and viscosity deviation of these two input variables, i.e., temperature (T = 20 to 60 C-degrees) and volume fraction of nanoparticles (phi = 0.1 to 0.5 %). The findings demonstrate that the viscosity of silica-alumina-MWCNT/ Water hybrid nanofluid increases as the phi increases. In terms of numbers, the mu nf rises from 1.55 to 3.26 cP when the phi grows from 0.1 to 0.5 % (at T = 40 C-degrees). On the other hand, the mu nf decreases as the temperature was increases. The mu(nf) of silica-alumina-MWCNT/ Water hybrid nanofluid reduces from 3.3 to 1.73 cP when the temperature rises from 20 to 60 C-degrees (at phi = 0.3 %). The findings demonstrate that the mu nf exhibits greater variance for lower temperatures and higher phi.
