Finite element simulation of airflow in a field cleaner

Panfilov, Ivan; Soloviev, А. N.; Matrosov, Andrey; Meskhi, Besarion; Polushkin, Oleg; Rudoy, Dmitry; Пахомов, В. И.

doi:10.1088/1757-899x/1001/1/012060

Cited by 8 publications

(8 citation statements)

References 14 publications

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“…The accepted methods of processing and collecting the measured parameters of the experimental setup confirm the correctness of the mathematical model. [18][19][20].…”

Section: Resultsmentioning

confidence: 99%

Mathematical modelling of the hydromechanical drive of the test bench for plunger hydraulic cylinders with energy recovery

Rybak,

Meskhi,

Pelipenko

et al. 2023

E3S Web of Conf.

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Reliability is a significant parameter of machines, mechanisms, drives, technological equipment and its component parts, including hydraulic motors. Reliability is checked and confirmed by carrying out resource tests, the results of which reveal the characteristics and properties of materials, components and working fluids that are used in the production of hydraulic cylinders and during operation. One of the practical ways to determine reliability is testing. The aim of the work is to improve the theory and methods of calculation and design of the hydromechanical drive system of the service life test bench of plunger hydraulic cylinders through the use of an energy recovery scheme that provides an increase in the energy efficiency of the testing process. Developed on the basis of the application of the theory of volumetric rigidity, a mathematical model of the hydromechanical drive system of the plunger hydraulic cylinder service life test bench made it possible to compare the influence of various design and functional parameters of the elements of the hydromechanical system of the stand on the dynamic performance and energy efficiency of its drive.

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“…The accepted methods of processing and collecting the measured parameters of the experimental setup confirm the correctness of the mathematical model. [18][19][20].…”

Section: Resultsmentioning

confidence: 99%

Mathematical modelling of the hydromechanical drive of the test bench for plunger hydraulic cylinders with energy recovery

Rybak,

Meskhi,

Pelipenko

et al. 2023

E3S Web of Conf.

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“…The optimization of configurations and operating modes of heating and ventilation systems of vehicles can reduce fuel consumption in internal combustion engines, reduce energy consumption, and extend the service life of electric vehicle batteries. In addition, the creation of a comfortable microclimate maintains optimal performance, the concentration of drivers, and conditions for the rest of transport passengers in [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Improving the Fuel Economy and Energy Efficiency of Train Cab Climate Systems, Considering Air Recirculation Modes

Panfilov,

Beskopylny,

Meskhi

2024

Energies

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Current developments in vehicles have generated great interest in the research and optimization of heating, ventilation, and air conditioning (HVAC) systems as a factor to reduce fuel consumption. One of the key trends for finding solutions is the intensive development of electric transport and, consequently, additional requirements for reducing energy consumption and modifying climate systems. Of particular interest is the optimal functioning of comfort and life support systems during air recirculation, i.e., when there is a complete or partial absence of outside air supply, in particular to reduce energy consumption or when the environment is polluted. This work examines numerical models of airfields (temperature, speed, and humidity) and also focuses on the concentration of carbon dioxide and oxygen in the cabin, which is a critical factor for ensuring the health of the driver and passengers. To build a mathematical model, the Navier–Stokes equations with energy, continuity, and diffusion equations are used to simulate the diffusion of gases and air humidity. In the Ansys Fluent finite volume analysis package, the model is solved numerically using averaged RANS equations and k-ω turbulence models. The cabin of a mainline locomotive with two drivers, taking into account their breathing, is used as a transport model. The problem was solved in a nonstationary formulation for the design scenario of summer and winter, the time of stabilization of the fields was found, and graphs were constructed for different points in time. A comparative analysis of the uniformity of fields along the height of the cabin was carried out with different locations of deflectors, and optimal configurations were found. Energy efficiency values of the climate system operation in recirculation operating modes were obtained. A qualitative assessment of the driver’s blowing directions under different circulation and recirculation modes is given from the point of view of the concentration of carbon dioxide in the breathing area. The proposed solution makes it possible to reduce electricity consumption from 3.1 kW to 0.6 kW and in winter mode from 11.6 kW to 3.9 kW and save up to 1.5 L/h of fuel. The conducted research can be used to develop modern energy-efficient and safe systems for providing comfortable climate conditions for drivers and passengers of various types of transport.

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“…The factors that provide a comfortable microclimate and the theoretical foundations for modeling the microclimate in cabins based on the balance equations of heat flows are given in [1][2][3]. Heat transfer through the wall is modeled as convective heat exchange with the environment, which is characterized by heat transfer coefficients to the environment and the thermal conductivity of the wall [4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…Heat transfer through the wall is modeled as convective heat exchange with the environment, which is characterized by heat transfer coefficients to the environment and the thermal conductivity of the wall [4][5][6][7][8][9][10]. The factors that provide a comfortable microclimate and the theoretical foundations for modeling the microclimate in cabins based on the balance equations of heat flows are given in [1][2][3]. Heat transfer through the wall is modeled as convective heat exchange with the environment, which is characterized by heat transfer coefficients to the environment and the thermal conductivity of the wall [4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

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Modeling of Flow Heat Transfer Processes and Aerodynamics in the Cabins of Vehicles

Beskopylny

Panfilov

Meskhi

2022

Fluids

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Ensuring comfortable climatic conditions for operators in the cabin of technological machines is an important scientific and technical task affecting operator health. This article implements numerical and analytical modeling of the thermal state of the vehicle cabin, considering external airflow and internal ventilation. A method for calculating the heat transfer coefficients of a multilayer cabin wall for internal and external air under conditions of forced convective heat exchange is proposed. The cabin is located in the external aerodynamic flow to consider the speed and direction of the wind, as well as the speed of traffic. Inside the cabin, the operation of the climate system is modeled as an incoming flow of a given temperature and flow rate. The fields of velocities, pressures, and temperatures are calculated by the method of computer hydrodynamics for the averaged Navier–Stokes equations and the energy equation using the turbulence model. To verify the model, the values of the obtained heat transfer coefficients were compared with three applied theories obtained from experimental data based on dimensionless complexes for averaged velocities and calculated by a numerical method. It is shown that the use of numerical simulation considering the external air domain makes it possible to obtain more accurate results from 5% to 75% compared to applied theories, particularly in areas with large velocity gradients. This method makes it possible to get more accurate values of the heat transfer coefficients than for averaged velocities.

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Finite element simulation of airflow in a field cleaner

Cited by 8 publications

References 14 publications

Mathematical modelling of the hydromechanical drive of the test bench for plunger hydraulic cylinders with energy recovery

Mathematical modelling of the hydromechanical drive of the test bench for plunger hydraulic cylinders with energy recovery

Improving the Fuel Economy and Energy Efficiency of Train Cab Climate Systems, Considering Air Recirculation Modes

Modeling of Flow Heat Transfer Processes and Aerodynamics in the Cabins of Vehicles

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