Panteleimon Bakalis

Dr. Panteleimon Bakalis

University of Patras, Rio, Greece
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Journal Article
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Stelios K. GeorgantzinosStelios K. Georgantzinos
Stelios K. Georgantzinos
Georgios I. GiannopoulosGeorgios I. Giannopoulos
Georgios I. Giannopoulos
PBPanteleimon Bakalis
Panteleimon Bakalis
This paper aims to establish six-dimensional (6D) printing as a new branch of additive manufacturing investigating its benefits, advantages as well as possible limitations concerning the design and manufacturing of effective smart structures. The concept of 6D printing, to the authors’ best knowledge, is introduced for the first time. The new method combines the four-dimensional (4D) and five-dimensional (5D) printing techniques. This means that the printing process is going to use five degrees of freedom for creating the final object while the final produced material component will be a smart/intelligent one (i.e., will be capable of changing its shape or properties due to its interaction with an environmental stimulus). A 6D printed structure can be stronger and more effective than a corresponding 4D printed structure, can be manufactured using less material, can perform movements by being exposed to an external stimulus through an interaction mechanism, and it may learn how to reconfigure itself suitably, based on predictions via mathematical modeling and simulations.

30 October 2023 in Applied Thermal Engineering
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George KosmadakisGeorge Kosmadakis
George Kosmadakis
GMGeorge Meramveliotakis
George Meramveliotakis
PBPanteleimon Bakalis
Panteleimon Bakalis
PNPanagiotis Neofytou
Panagiotis Neofytou

2 November 2015 in International Journal of Numerical Methods for Heat & Fluid Flow
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PBPanteleimon Bakalis
Panteleimon Bakalis
PHPavlos M. Hatzikonstantinou
Pavlos M. Hatzikonstantinou
Purpose: – The steady laminar quasi-3D fully developed magnetohydrodynamic (MHD) flow of a liquid metal in a curved annular channel is studied in order to determine the effect of the magnetic field on the velocity distribution. The paper aims to discuss this issue. Design/methodology/approach: – Due to the fluid motion under the effect of the applied transverse external magnetic field, an additional magnetic field and an electric current density are induced. A hybrid formulation is used for the induced electric current density, implementing for its axial component the Ohm’s law and for its transverse components the Ampere’s law. The suggested formulation (denominated h-formulation) is combined with the extended Continuity Vorticity Pressure numerical variational method for MHD flows. Findings: – Results are obtained for different values of curvature ratios and Hartmann numbers. It is proved that as the strength of the magnetic field increases, two side regions of velocity jets are formulated in the right and in the left half sides of the inner cylinder in a direction parallel to the external magnetic field. The magnitude of the axial velocity at each region is determined by the balance of the centrifugal and the electromagnetic forces. The results help to better understand the MHD flow in toroidal ducts. Originality/value: – The results aim to help to a better understanding of the MHD flow in curved ducts.

16 March 2023 in Energies
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Dimitrios TyrisDimitrios Tyris
Dimitrios Tyris
AGApostolos Gkountas
Apostolos Gkountas
PBPanteleimon Bakalis
Panteleimon Bakalis
Panagiotis PanagakisPanagiotis Panagakis
Panagiotis Panagakis
Dimitris ManolakosDimitris Manolakos
Dimitris Manolakos
Environment control systems in broiler houses utilize non-renewable electricity and fuels as energy sources, contributing to the increase in greenhouse gases, while not providing optimal conditions. The heat pump (HP) is an energy-efficient technology that can continuously regulate the indoor temperature and relative humidity by combining different operation modes (heating, cooling, and dehumidifying). The current study presents an analytical numerical model developed in Simulink, capable of simulating the thermal loads of a broiler house and the dynamic operation of three heat pumps to cover its needs. Outdoor climatic conditions and broilers’ heat production are used as inputs, while all the heat exchange mechanisms with the external environment are considered. The study investigates the energy use and performance of each HP mode under different environmental conditions. A total of 7 different production periods (PPs) are simulated for a 10,000-broiler house in northern Greece, showing total energy consumption of 18.5 kWh/m2, 43.4 kWh/m2, and 58.7 kWh/m2 for heating, cooling, and dehumidifying, respectively. The seasonal coefficient of performance (SCOP) reaches above 3.1 and 4.8 for heating and dehumidifying, respectively, while the seasonal energy efficiency ratio (SEER) for cooling is above 3.7. Finally, focusing on the two warmer periods, a comparison between cooling with and without evaporative pads was performed, showing similar energy consumption.

1 September 2015 in Computers & Fluids
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PBPanteleimon Bakalis
Panteleimon Bakalis
PHP.M. Hatzikonstantinou
P.M. Hatzikonstantinou
PVP. Vafeas
P. Vafeas

8 June 2011 in Numerical Heat Transfer, Part A: Applications
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Journal Article
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PBPanteleimon Bakalis
Panteleimon Bakalis
PHP. M. Hatzikonstantinou
P. M. Hatzikonstantinou
A numerical analysis is performed to study the fully developed laminar flow of an electrically conducting liquid metal between two concentric cylinders in the presence of an external transverse magnetic field. The outer cylinder is constant, and the inner cylinder is constant or is rotating at a constant angular velocity about its axis. The cylinders are maintained at uniform temperatures. The temperature difference between the walls creates buoyancy force, due to the density variations. The CVP numerical variational method is used for the study. The obtained results are compared for various angular velocities, Reynolds, Grashof, Prandtl, and Hartmann numbers.