Numerical simulation of nanofluid flow inside a root canal
Mohammad Ghalandari,Elaheh Mirzadeh Koohshahi,Fatemeh Mohamadian,Shahabbodin Shamshirband,Kwok Wing Chau +4 more
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In this article, the authors have shown that silver nano particles have antimicrobial property which makes them appropriate for disinfection. Due to their antimicrobial feature, these particles are applicable for root canal irrigation.Abstract:
Silver nano particles have antimicrobial property which makes them appropriate for disinfection. Due to their antimicrobial feature, these particles are applicable for root canal irrigation...read more
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Thermal conductivity modeling of nanofluids with ZnO particles by using approaches based on artificial neural network and MARS
Akbar Maleki,Milad Elahi,Mamdouh El Haj Assad,Mohammad Alhuyi Nazari,Mostafa Safdari Shadloo,Narjes Nabipour +5 more
TL;DR: In this paper, three methods including MARS, artificial neural network (ANN) with Levenberg-Marquardt for training and GMDH are employed for thermal conductivity of the nanofluids containing ZnO particles.
Journal ArticleDOI
Thin and sharp edges bodies-fluid interaction simulation using cut-cell immersed boundary method
Sinan Q. Salih,Mohammed Suleman Aldlemy,Mohammad Rasidi Mohammad Rasani,Ahmad Kamal Ariffin,T.M.Y.S. Tuan Ya,Nadhir Al-Ansari,Zaher Mundher Yaseen,Kwok Wing Chau +7 more
TL;DR: The new developed AMR-IBM algorithm is validated using a benchmark data of fluid past a cylinder and the results show that there is good agreement under laminar flow, confirming the robustness of the new algorithms in simulating flow characteristics in the boundary layers of thin structures.
Journal ArticleDOI
Flutter speed estimation using presented differential quadrature method formulation
TL;DR: In this article, the flutter behavior of a typical wing is investigated by presented Deferential Quadrature Method (DQM) and the aerodynamic part adopted Wagner functions to model it.
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Aeromechanical optimization of first row compressor test stand blades using a hybrid machine learning model of genetic algorithm, artificial neural networks and design of experiments
Mohammad Ghalandari,Alireza Ziamolki,Amir Mosavi,Amir Mosavi,Shahaboddin Shamshirband,Kwok Wing Chau,S. Bornassi +6 more
TL;DR: In this article, the optimization of the first blade of a new test rig is pursued using a hybrid model comprising the genetic algorithm, artificial neural networks and design of experiments, and the results show that the hybrid model outperforms the conventional methods.
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Investigation of submerged structures’ flexibility on sloshing frequency using a boundary element method and finite element analysis
TL;DR: In this paper, the boundary element method-finite element method (BEM-FEM) model is employed to investigate the sloshing and flexibility terms of elastic submerged structures on the behavior of a c...
References
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A review of thermal conductivity of various nanofluids
TL;DR: In this article, several experimental and theoretical studies conducted on the thermal conductivity of nanofluids are represented and investigated based on the reviewed studies, various factors affect thermal conductivities such as temperature, the shape of nanoparticles, concentration and etc.
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Computational intelligence approach for modeling hydrogen production: a review
Sina Ardabili,Bahman Najafi,Shahaboddin Shamshirband,Behrouz Minaei Bidgoli,Ravinesh C. Deo,Kwok Wing Chau +5 more
TL;DR: A clean energy source with a relatively low pollution footprint, hydrogen does not exist in nature as a separate element but only in compound forms as mentioned in this paper, and hydrogen is produced in the USA.
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Numerical simulation of the effects of building dimensional variation on wind pressure distribution
TL;DR: In this article, wind pressure distribution on buildings was predicted under two scenarios, namely height-width (HW) and height-thickness (HT), for the purpose of correctness comparison, and reliability verification.
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Experimental and numerical analysis of a nanofluidic thermosyphon heat exchanger
TL;DR: In this article, thermal conductivity of thermmosyphons has been investigated for different heat transfer purposes including cooling devices and heat exchangers, and thermal performance of thermal performan...
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A proposed model to predict thermal conductivity ratio of Al2O3/EG nanofluid by applying least squares support vector machine (LSSVM) and genetic algorithm as a connectionist approach
Mohammad Hossein Ahmadi,Mohammad Ali Ahmadi,Mohammad Alhuyi Nazari,Omid Mahian,Roghayeh Ghasempour +4 more
TL;DR: In this article, a model is proposed by applying the least squares support vector machine (LSSVM) in addition, genetic algorithm is used for selection and optimization of hyperparameters that are embedded in the LSSVM model.