An artificial intelligence-based prediction way to describe flowing a Newtonian liquid/gas on a permeable flat surface

Hoseinzadeh, Siamak; Sohani, Ali; Ashrafi, Tareq Ghanbari

doi:10.1007/s10973-021-10811-5

Cited by 17 publications

(5 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this method, a finite series with unknown coefficients is considered to approximate the solution of the governing differential equation [41]. Applying the initial condition and perhaps the boundary conditions to the supposed solution, to the governing equation, and its derivatives after substituting the solution into the differential equation, an algebraic equation system appears which determines the unknown coefficients [42]- [43].…”

Section: Akbari-ganji's Methods (Agm)mentioning

confidence: 99%

The solution of Pennes' bio-heat equation with a convection term and nonlinear specific heat capacity using Adomian decomposition

Ostadhossein

Hoseinzadeh

2022

J Therm Anal Calorim

Self Cite

View full text Add to dashboard Cite

Pennes' bio-heat equation is the most widely used equation to analyze the heat transfer phenomenon associated with hyperthermia and cryoablation treatments of cancer. In this study, the semi-analytical and numerical solutions of Pennes' equation in a highly nonlinear form derived from renal cell carcinoma tissue's nonlinear specific heat capacity along with a freezing convection term were obtained and analyzed for the first time. Here, the governing equation was reduced to a lumped capacity form for simplification and exerted on a solid spherical renal tumor. In the following, two semi-analytical techniques, the adomian decomposition method (ADM) and the Akbari–Ganji's method (AGM) were evaluated in solving the governing ODE. The comparison revealed full conformity between ADM and AGM, in addition to an excellent agreement between the semi-analytical and the numerical results before the phase transition. The analysis highlighted a deviation between the semi-analytical and numerical results for the limited convergence of power-series-based semi-analytical methods throughout the phase change and beyond. For the investigated case with $$D_{t} = 0.025,\quad {\text{Biot}} = 0.075$$ D t = 0.025 , Biot = 0.075 , the convergence occurred while $$\tau \in [0,0.7]$$ τ ∈ [ 0 , 0.7 ] for both methods. Consequently, both semi-analytical techniques ADM and AGM, are applicable to find the solution of Pennes' bio-heat equation before the phase change, and there is no superiority in favor of one in accuracy. In contrast, numerical methods are reliable during the phase transition and after that. The analysis of the numerical solution showed that with the growth of the tumor, achieving the necrosis of the malignant tissue takes longer, and large tumors' temperature may not decrease to necrosis temperature. The interpretation of the numerical results indicated that cryoablation could be considered an effective thermal treatment for renal tumors with a diameter lower than 2.0 cm.

show abstract

Section: Akbari-ganji's Methods (Agm)mentioning

confidence: 99%

The solution of Pennes' bio-heat equation with a convection term and nonlinear specific heat capacity using Adomian decomposition

Ostadhossein

Hoseinzadeh

2022

J Therm Anal Calorim

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the history of education development, technology that advances often provides a powerful driving force for educational change. Artificial intelligence, as a convenient and efficient new technology, will be widely used in the teaching of education, and the deepening reform of the daily management work and teaching of the school [17][18]. One of the main forms of the combination of artificial intelligence and education is shown in Figure 1, where students send a request for a certain knowledge point in the client browser, and then the network is sent to the Web server according to the instructions, and the server searches for the corresponding resource data and course data in the database according to the instructions.…”

Section: Artificial Intelligencementioning

confidence: 99%

Artificial Intelligence Technology Boosts the Construction of English Intelligent Teaching Mode in Colleges and Universities

Zhang

2023

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

With the goal of improving the teaching effect of English in colleges and universities, this paper combines artificial intelligence technology with teaching and constructs an English-intelligent tutoring teaching model. By analyzing the main forms of artificial intelligence in the field of teaching, the advantages of intelligent teaching mode in college English teaching are explored from personalized teaching as well as teaching effect. Combining the RBF neural network to analyze the students’ learning data, the function approximation principle and interpolation method are used to improve the accuracy of the analysis of the students’ data. Using the form of network topology, the information transfer process in English intelligent teaching is explored. To improve the classification of students’ abilities and the prediction of their grades, judgment trees are added to the network. The English Intelligent Assisted Teaching model was applied to teaching to explore its feasibility and effectiveness. The results show that students’ satisfaction with personalized teaching is 0.85, and their satisfaction with personalized evaluation is 0.8. The students’ translation ability under the English Intelligent Assisted Teaching Model has improved more, from 75 to 90.

show abstract

“…The RNG k-ε model is based on Standard k-ε model and is used to simulate the complex high curvature flow field [17][18][19]. In the complex flow field of the Newtonian liquid, the numerical simulation is more accurate when the RNG k-ε model is used but difficult to converge [20]. Variable parameters in the model are correlated with the fluid model, fluid flow state, and corresponding space coordinate system functions.…”

Section: Establishing the Simulation Modelmentioning

confidence: 99%

Fluid-solid-heat coupling deformation analysis of the valve trims in a multistage pressure reducing valve

Liu

et al. 2022

PLoS ONE

View full text Add to dashboard Cite

A multistage pressure reducing valve with specially designed pressure reducing components is presented in this paper. As the deformation of the valve trims under fluid-solid-heat coupling has an important influence on the operation reliability of the valve, a numerical simulation is carried out to analyse the flow field characteristic in the valve and radial deformation of the valve trims using the ANSYS software. And a deformation experiment is designed to validate the deformations of the valve trims at high temperature of 693.15 K. The results indicate that the simulation results agree well with the experimental data. Moreover, it is found that the temperature field has the most significant influence on the deformation of the valve trims, the radial deformations of the matching surface vary from 0.439 to 0.442 mm. And the radial deformations caused by other factors vary from 0.005 to 0.015 mm. In addition, as a novel indicator, the clearance after deformation of the matching surface is used to evaluate the operation reliability of the valve. By using the GAP function in ANSYS static module, the clearances of the matching surface are obtained at different openings under the condition of fluid-solid-heat coupling, further indicating that the initial clearance between the valve plug and inner sleeve should be greater than 0.014 mm to ensure the operation reliability of the valve.

show abstract

An artificial intelligence-based prediction way to describe flowing a Newtonian liquid/gas on a permeable flat surface

Cited by 17 publications

References 51 publications

The solution of Pennes' bio-heat equation with a convection term and nonlinear specific heat capacity using Adomian decomposition

The solution of Pennes' bio-heat equation with a convection term and nonlinear specific heat capacity using Adomian decomposition

Artificial Intelligence Technology Boosts the Construction of English Intelligent Teaching Mode in Colleges and Universities

Fluid-solid-heat coupling deformation analysis of the valve trims in a multistage pressure reducing valve

Contact Info

Product

Resources

About