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Journal Articles

Robust Design Optimization of a Compressor Rotor Using Recursive Cokriging Based Multi-Fidelity Uncertainty Quantification and Multi-Fidelity Optimization

Marcus Wiegand, Andriy Prots, Marcus Meyer, Robin Schmidt, Matthias Voigt, Ronald Mailach
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach. June 2025, 147(6): 061009.
Paper No: TURBO-24-1192
https://doi.org/10.1115/1.4067076
Published Online: November 22, 2024
View Article titled, Robust Design Optimization of a Compressor Rotor Using Recursive Cokriging Based Multi-Fidelity Uncertainty Quantification and Multi-Fidelity Optimization
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Topics: Compressors, Design, Optimization, Uncertainty quantification
Proceedings Papers

Robust Design Optimization of a Compressor Rotor Using Recursive Cokriging Based Multi-Fidelity Uncertainty Quantification and Multi-Fidelity Optimization

Marcus Wiegand, Andriy Prots, Marcus Meyer, Robin Schmidt, Matthias Voigt, Ronald Mailach
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT34A006, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-121977
https://doi.org/10.1115/GT2024-121977
View Paper titled, Robust Design Optimization of a Compressor Rotor Using Recursive Cokriging Based Multi-Fidelity Uncertainty Quantification and Multi-Fidelity Optimization
Open the PDF for Robust Design Optimization of a Compressor Rotor Using Recursive Cokriging Based Multi-Fidelity Uncertainty Quantification and Multi-Fidelity Optimization in another window
Topics: Compressors, Design, Optimization, Rotors, Uncertainty quantification, Robustness, Uncertainty, Blades, Engines, Geometry
Proceedings Papers

Sensitivity Analysis of Performance Parameters of a Compressor Blade With Correlated Profile Parameters

Andriy Prots, Lukas Schlüter, Matthias Voigt, Marcus Meyer, Ronald Mailach
Proc. ASME. GT2023, Volume 13D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V13DT34A014, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-102442
https://doi.org/10.1115/GT2023-102442
View Paper titled, Sensitivity Analysis of Performance Parameters of a Compressor Blade With Correlated Profile Parameters
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Topics: Blades, Compressors, Sensitivity analysis, Engineering systems and industry applications, Manufacturing, Wear
Proceedings Papers

Impact of Epistemic Uncertainty on Performance Parameters of Compressor Blades

Andriy Prots, Lukas Schlüter, Matthias Voigt, Ronald Mailach, Marcus Meyer
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A015, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-82579
https://doi.org/10.1115/GT2022-82579
View Paper titled, Impact of Epistemic Uncertainty on Performance Parameters of Compressor Blades
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Topics: Blades, Compressors, Uncertainty, Density, Optical measurement, Probability, Chords (Trusses), Design, Gaussian distribution, Manufacturing
Proceedings Papers

Probabilistic Approach for Optimizing Uncertainties of Input Variables to Reach a Desired Confidence Level

Andriy Prots, Matthias Voigt, Ronald Mailach, Philip Magin, Florian Danner
Proc. ASME. GT2021, Volume 2D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V02DT36A012, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-59442
https://doi.org/10.1115/GT2021-59442
View Paper titled, Probabilistic Approach for Optimizing Uncertainties of Input Variables to Reach a Desired Confidence Level
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Topics: Uncertainty, Computational fluid dynamics, Boundary-value problems, Geometry, Compressors, Design, Jet engines, Measurement uncertainty, Sensors
Proceedings Papers

Improved Quality Assessment of Probabilistic Simulations and Application to Turbomachinery

Andriy Prots, Lars Högner, Matthias Voigt, Ronald Mailach, Florian Danner
Proc. ASME. GT2020, Volume 2D: Turbomachinery, V02DT38A027, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-16147
https://doi.org/10.1115/GT2020-16147
View Paper titled, Improved Quality Assessment of Probabilistic Simulations and Application to Turbomachinery
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Topics: Simulation, Turbomachinery, Blades, Computational fluid dynamics, Accounting, Aerospace engineering, Computer software, Errors, Mechanical efficiency, Rotors