Özgür Ertunç
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Özgür Ertunç has a total of 106 co-authors. Here are the top co-authors by number of shared publications:
Antonio Delgado
Institute of Fluid Mechanics, University of Erlangen-Nuremberg, D-91058 Erlangen, Germany; Erlangen Graduate School of Advanced Optical Technologies (SAOT), University of Erlangen-Nuremberg, D-91052 Erlangen, Germany
14 shared publications- Ali Al-Abadi
Friedrich-Alexander University, Erlangen, Germany
8 shared publications A Delgado
Institute of Fluid Mechanics, FAU Erlangen-Nuremberg, Germany
4 shared publicationsA. Delgado
Institute of Fluid Mechanics, Friedrich-Alexander-University, Erlangen, Germany
4 shared publicationsF. Durst
Centre of Advanced Fluid Mechanics, FMP Technology GmbH Am Weichselgarten 34, D-91058 Erlangen, Germany
4 shared publicationsH. Lienhart
Friedrich-Alexander-University Erlangen-Nuremberg
3 shared publications
Latest Publications
- 1 November 2026
- Published by Elsevier in Aerospace Science and Technology
- Vol. 180
The effect of spray’s droplet size distribution on the turbulent swirl stabilized flame in a model combustor
- 1 November 2026
- Published by Elsevier in Aerospace Science and Technology
- Vol. 180
The effect of spray’s droplet size distribution on the turbulent swirl stabilized flame in a model combustor
- Open Access
- 14 April 2026
- Published by Springer Nature in Flow, Turbulence and Combustion
- Vol. 116 (3) , 46
Large Eddy Simulation Analysis of Turbulence Generated by a Two-Plane Active Grid Using an Optimized Motion Protocol
Active grid turbulence generators that utilize rotating or flapping winglets can achieve higher turbulence levels in a controlled manner. Most active grid studies are experimental, and active grids in those were designed based on empirical data and calculations based on order-of-magnitude analysis. We used large-eddy simulations (LES) to assess the effects of square and circular winglet shapes and motion protocol. Differences in generated turbulence at distances of up to 5 mesh sizes from the active grid in the flow direction were analyzed in terms of turbulence intensity, Taylor-scale Reynolds number, spectra, isotropy level, and flow homogeneity. For these analyses, a two-plane active grid design was used to prevent full closure during operation in a wind tunnel. The numerical simulation’s validity was assessed using a combination of numerical benchmarks, physical parameters, and experimental validation, thereby facilitating the application of Large Eddy Simulation to the design of active grids. Rather than employing either random or prescribed motion protocols, this study developed an optimization method to determine the transient angular positions of the winglets. The optimization focuses on two objective functions: achieving a specified area-closure intensity and maintaining a target mean Rossby number. Simulations for the square wiglets were conducted at a constant intensity of area closure at two mean Rossby numbers, and one simulation for a circular winglet at the same lowest Rossby number and the same intensity of area closure. Five mesh size downstream of the active-grid, circular winglets generated approximately twice the Taylor-scale Reynolds number ( $$\text{Re}_{\lambda}\approx 375$$ ) compared to square winglets ( $$\text{Re}_{\lambda}\approx 180$$ ) at the same mean Rossby number. However, this increase in turbulence level was accompanied by higher levels of anisotropy and inhomogeneity in the turbulent kinetic energy and mean velocity fields. The downstream set of rods was found to be responsible for the higher velocity fluctuations in the lateral direction perpendicular to their rotation axis, both for square and circular grids. The global isotropy level for circular winglets showed a deviation of 25–30% from unity, which is significantly greater than that observed in square winglet configurations. The results revealed a clear trade-off between increasing turbulence level and preserving flow homogeneity and isotropy. Additionally, the implementation of a two-plane active grid system, combined with different winglet geometries and an optimization-based motion protocol, demonstrated significant potential for effectively modulating these flow characteristics.- 14 April 2026
- Published by Springer Nature in Flow, Turbulence and Combustion
- Vol. 116 (3) , 46
Open AccessLarge Eddy Simulation Analysis of Turbulence Generated by a Two-Plane Active Grid Using an Optimized Motion Protocol
Active grid turbulence generators that utilize rotating or flapping winglets can achieve higher turbulence levels in a controlled manner. Most active grid studies are experimental, and active grids in those were designed based on empirical data and calculations based on order-of-magnitude analysis. We used large-eddy simulations (LES) to assess the effects of square and circular winglet shapes and motion protocol. Differences in generated turbulence at distances of up to 5 mesh sizes from the active grid in the flow direction were analyzed in terms of turbulence intensity, Taylor-scale Reynolds number, spectra, isotropy level, and flow homogeneity. For these analyses, a two-plane active grid design was used to prevent full closure during operation in a wind tunnel. The numerical simulation’s validity was assessed using a combination of numerical benchmarks, physical parameters, and experimental validation, thereby facilitating the application of Large Eddy Simulation to the design of active grids. Rather than employing either random or prescribed motion protocols, this study developed an optimization method to determine the transient angular positions of the winglets. The optimization focuses on two objective functions: achieving a specified area-closure intensity and maintaining a target mean Rossby number. Simulations for the square wiglets were conducted at a constant intensity of area closure at two mean Rossby numbers, and one simulation for a circular winglet at the same lowest Rossby number and the same intensity of area closure. Five mesh size downstream of the active-grid, circular winglets generated approximately twice the Taylor-scale Reynolds number ( $$\text{Re}_{\lambda}\approx 375$$ ) compared to square winglets ( $$\text{Re}_{\lambda}\approx 180$$ ) at the same mean Rossby number. However, this increase in turbulence level was accompanied by higher levels of anisotropy and inhomogeneity in the turbulent kinetic energy and mean velocity fields. The downstream set of rods was found to be responsible for the higher velocity fluctuations in the lateral direction perpendicular to their rotation axis, both for square and circular grids. The global isotropy level for circular winglets showed a deviation of 25–30% from unity, which is significantly greater than that observed in square winglet configurations. The results revealed a clear trade-off between increasing turbulence level and preserving flow homogeneity and isotropy. Additionally, the implementation of a two-plane active grid system, combined with different winglet geometries and an optimization-based motion protocol, demonstrated significant potential for effectively modulating these flow characteristics. - Open Access
Order of Magnitude Analysis and Data-Based Physics-Informed Symbolic Regression for Turbulent Pipe Flow
Friction losses in rough pipes are often predicted using semi-empirical correlations, such as the Colebrook-White equation (Colebrook,1939), which do not fully replicate Nikuradse's rough-pipe experiments (1950). This study derives scaling relations for the viscous and turbulent contributions to the streamwise pressure drop through an order-of-magnitude analysis of the Reynolds-averaged Navier-Stokes equations and the kinetic-energy transport equations. These relations impose constraints on the local sensitivity of the pressure drop to factors such as mean velocity, roughness, viscosity, and density through exponent envelopes and serve as a physical prior for symbolic regression. By combining Nikuradse's rough-pipe and smooth-pipe data of Zagarola and Smits (1998), we aim to derive compact correlations for the friction factor that fit experimental data while adhering to the derived constraints. A modified genetic programming engine (GPTIPS2) optimizes model structure and evaluates it based on fitness, complexity, and constraint violation. This method yields interpretable expressions that accurately reproduce friction factors across various roughness levels and Reynolds numbers, validated up to $Re \sim 10^7$.Open AccessOrder of Magnitude Analysis and Data-Based Physics-Informed Symbolic Regression for Turbulent Pipe Flow
Friction losses in rough pipes are often predicted using semi-empirical correlations, such as the Colebrook-White equation (Colebrook,1939), which do not fully replicate Nikuradse's rough-pipe experiments (1950). This study derives scaling relations for the viscous and turbulent contributions to the streamwise pressure drop through an order-of-magnitude analysis of the Reynolds-averaged Navier-Stokes equations and the kinetic-energy transport equations. These relations impose constraints on the local sensitivity of the pressure drop to factors such as mean velocity, roughness, viscosity, and density through exponent envelopes and serve as a physical prior for symbolic regression. By combining Nikuradse's rough-pipe and smooth-pipe data of Zagarola and Smits (1998), we aim to derive compact correlations for the friction factor that fit experimental data while adhering to the derived constraints. A modified genetic programming engine (GPTIPS2) optimizes model structure and evaluates it based on fitness, complexity, and constraint violation. This method yields interpretable expressions that accurately reproduce friction factors across various roughness levels and Reynolds numbers, validated up to $Re \sim 10^7$. - 31 January 2026
- Published by Elsevier in Journal of Computational Physics
- Vol. 553
Constructing a reynolds stress model of decaying homogeneous isotropic turbulence using physics informed neural network
- 31 January 2026
- Published by Elsevier in Journal of Computational Physics
- Vol. 553
Constructing a reynolds stress model of decaying homogeneous isotropic turbulence using physics informed neural network
- 30 October 2025
- Published by Elsevier in Applied Thermal Engineering
- Vol. 282
A heat flux model for nucleate boiling on micro-cavity surfaces
- 30 October 2025
- Published by Elsevier in Applied Thermal Engineering
- Vol. 282
A heat flux model for nucleate boiling on micro-cavity surfaces
- 2 July 2025
- Published by Elsevier in European Journal of Mechanics - B/Fluids
- Vol. 114
Droplet impact on moving hydrophobic surfaces and outcome transition modeling
- 2 July 2025
- Published by Elsevier in European Journal of Mechanics - B/Fluids
- Vol. 114
Droplet impact on moving hydrophobic surfaces and outcome transition modeling
- 1 April 2025
- Published by AIP Publishing in Physics of Fluids
- Vol. 37 (4)
Formation of Görtler vortices in an open-end pressure swirl atomizer
In pressure swirl atomizers, a two-phase swirling flow occurs when liquid is introduced through tangential ports into the swirl chamber. Due to the interactions among jets from neighboring inlets, flow instabilities and non-uniform spray patterns can occur. These three-dimensional effects raise concerns about the accuracy of two-dimensional axisymmetric simulations. The authors investigate whether a purely axisymmetric ring-like inlet surface can eliminate flow non-uniformities, although such designs often require exceptional inlet configurations. This study focuses on open-end pressure swirl atomizers, as closed-end designs are more prone to separation downstream of contraction. High-fidelity three-dimensional flow simulations using the Volume of Fluid and Quasi Direct Numerical Simulation methods are performed. While the primary performance parameters—such as discharge coefficient and spray angle—show no significant differences between two-dimensional and three-dimensional simulations, the three-dimensional simulations reveal Görtler vortices within the liquid film. Although these vortices lead to slight differences in velocity profiles, they contribute to a vortical non-uniform velocity field at the injector exit, resulting in wrinkled waves in the spray film. Furthermore, simulation with axial swirling film inlet condition indicates that Görtler vortices can develop without flow separation, still causing spray film wrinkling. These findings suggest that Görtler vortices can negatively impact atomization and lead to non-uniform spray distribution, regardless of the inlet quality.
- 1 April 2025
- Published by AIP Publishing in Physics of Fluids
- Vol. 37 (4)
Formation of Görtler vortices in an open-end pressure swirl atomizer
In pressure swirl atomizers, a two-phase swirling flow occurs when liquid is introduced through tangential ports into the swirl chamber. Due to the interactions among jets from neighboring inlets, flow instabilities and non-uniform spray patterns can occur. These three-dimensional effects raise concerns about the accuracy of two-dimensional axisymmetric simulations. The authors investigate whether a purely axisymmetric ring-like inlet surface can eliminate flow non-uniformities, although such designs often require exceptional inlet configurations. This study focuses on open-end pressure swirl atomizers, as closed-end designs are more prone to separation downstream of contraction. High-fidelity three-dimensional flow simulations using the Volume of Fluid and Quasi Direct Numerical Simulation methods are performed. While the primary performance parameters—such as discharge coefficient and spray angle—show no significant differences between two-dimensional and three-dimensional simulations, the three-dimensional simulations reveal Görtler vortices within the liquid film. Although these vortices lead to slight differences in velocity profiles, they contribute to a vortical non-uniform velocity field at the injector exit, resulting in wrinkled waves in the spray film. Furthermore, simulation with axial swirling film inlet condition indicates that Görtler vortices can develop without flow separation, still causing spray film wrinkling. These findings suggest that Görtler vortices can negatively impact atomization and lead to non-uniform spray distribution, regardless of the inlet quality.
- 8 February 2024
- Published by Elsevier in Automation in Construction
- Vol. 160
Automated flow rate control of extrusion for 3D concrete printing incorporating rheological parameters
- 8 February 2024
- Published by Elsevier in Automation in Construction
- Vol. 160
Automated flow rate control of extrusion for 3D concrete printing incorporating rheological parameters
- Open Access
- 1 September 2023
- Published by AIP Publishing in Review of Scientific Instruments
- Vol. 94 (9)
A solenoid injector based drop-on-demand system for generating large droplets
This paper proposes a drop-on-demand (DOD) system that can produce single droplets of highly repeatable size in the order of 2 mm. This system utilizes an on-the-shelf solenoid injector used in automotive applications. The design methodology is explained along with the necessary measurements and numerical simulations of droplet generation. The invention consists of a solenoid injector that produces monodisperse single or in-series droplets with the help of a developed pulse width modulated signal generator. Mass per injection is measured over a range of supply pressures and injection durations to find the operation window to generate 2 mm droplets. Later, various nozzle geometries are designed and tested by flow simulations. The contracting nozzle is found suitable for generating single droplets, so the design is implemented at the tip of the solenoid injector. The effects of different opening times, pressures, and nozzle’s orifice diameters were tested to observe the operating window of the newly designed DOD system and the repeatability of generated droplets by utilizing a coherent circular Hough transform image processing algorithm to measure droplet sizes. The standard deviation of measured diameters is less than 5% of the mean droplet diameter, which is in the range of 1.68–2.07 mm. Next, the voltage and current signals are measured per injection, and exact instants for the initiation and ending for both opening and closing are determined to construct transient mass flow rate functions for flow simulations in which the dependence of droplet formation on the speed of closing is revealed. The numerical and experimental results indicate the repeatability and consistency of the invention.
- 1 September 2023
- Published by AIP Publishing in Review of Scientific Instruments
- Vol. 94 (9)
Open AccessA solenoid injector based drop-on-demand system for generating large droplets
This paper proposes a drop-on-demand (DOD) system that can produce single droplets of highly repeatable size in the order of 2 mm. This system utilizes an on-the-shelf solenoid injector used in automotive applications. The design methodology is explained along with the necessary measurements and numerical simulations of droplet generation. The invention consists of a solenoid injector that produces monodisperse single or in-series droplets with the help of a developed pulse width modulated signal generator. Mass per injection is measured over a range of supply pressures and injection durations to find the operation window to generate 2 mm droplets. Later, various nozzle geometries are designed and tested by flow simulations. The contracting nozzle is found suitable for generating single droplets, so the design is implemented at the tip of the solenoid injector. The effects of different opening times, pressures, and nozzle’s orifice diameters were tested to observe the operating window of the newly designed DOD system and the repeatability of generated droplets by utilizing a coherent circular Hough transform image processing algorithm to measure droplet sizes. The standard deviation of measured diameters is less than 5% of the mean droplet diameter, which is in the range of 1.68–2.07 mm. Next, the voltage and current signals are measured per injection, and exact instants for the initiation and ending for both opening and closing are determined to construct transient mass flow rate functions for flow simulations in which the dependence of droplet formation on the speed of closing is revealed. The numerical and experimental results indicate the repeatability and consistency of the invention.
- Open Access
- 19 January 2023
- Published by Springer Nature in Research Square
Circumferential Spray Patternation of the Pressure-Swirl Atomizers
Pressure-swirl atomizers (PSAs) are commonly used in aerospace engines and various industrial settings. Even though the design of PSAs is simple, the internal flow dynamics can be quite complex due to the presence of swirling motion, turbulence, and an air core. While certain parameters such as spray angle and droplet distribution have been widely studied and modeled, the circumferential distribution of the atomizer flow is not well understood. The objectives of this study are to identify the cause of non-uniformity in the spray produced by PSAs and to develop a uniformity model to predict the level of circumferential patternation of spray. To accomplish this, 3D numerical simulations were run on a range of PSAs, and three atomizers were fabricated using laser-lithography to ensure maximum manufacturing precision. Of the fabricated atomizers, two exhibited uniform distributions, while the other had deficiencies in both internal and external flow fields. LIF/Mie experiments on a radial plane and high-speed images on central axial plane of the manufactured atomizers were conducted.The results indicated that non-uniformity in the internal flow greatly impacts downstream droplet distribution. The root cause of non-uniformity was determined to be the interaction of inlet flows as they enter the swirl chamber. A new semi-empirical uniformity model, based on experimental data, was developed and found to be more accurate than existing models.
- 19 January 2023
- Published by Springer Nature in Research Square
Open AccessCircumferential Spray Patternation of the Pressure-Swirl Atomizers
Pressure-swirl atomizers (PSAs) are commonly used in aerospace engines and various industrial settings. Even though the design of PSAs is simple, the internal flow dynamics can be quite complex due to the presence of swirling motion, turbulence, and an air core. While certain parameters such as spray angle and droplet distribution have been widely studied and modeled, the circumferential distribution of the atomizer flow is not well understood. The objectives of this study are to identify the cause of non-uniformity in the spray produced by PSAs and to develop a uniformity model to predict the level of circumferential patternation of spray. To accomplish this, 3D numerical simulations were run on a range of PSAs, and three atomizers were fabricated using laser-lithography to ensure maximum manufacturing precision. Of the fabricated atomizers, two exhibited uniform distributions, while the other had deficiencies in both internal and external flow fields. LIF/Mie experiments on a radial plane and high-speed images on central axial plane of the manufactured atomizers were conducted.The results indicated that non-uniformity in the internal flow greatly impacts downstream droplet distribution. The root cause of non-uniformity was determined to be the interaction of inlet flows as they enter the swirl chamber. A new semi-empirical uniformity model, based on experimental data, was developed and found to be more accurate than existing models.