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Matthias Voigt
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Proceedings Papers

Analysis of Irreversible Thermochromic Paints for High Temperature Applications Using Specular Reflectance and Roughness Measurement

Robert Kossakowski, Stefan Gier, Benjamin Endrulat, Matthias Voigt, Ronald Mailach
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A004, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-121206
https://doi.org/10.1115/GT2024-121206
View Paper titled, Analysis of Irreversible Thermochromic Paints for High Temperature Applications Using Specular Reflectance and Roughness Measurement
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Topics: High temperature, Paints, Reflectance, Surface roughness, Temperature
Proceedings Papers

Possibilities of Applying Machine Learning Techniques for Probabilistic Analysis in a Turbine Blade-Disk Interface

Elmira Emmrich, Md Tarekul Islam, Matthias Voigt, Lukas Bruder, Julian von Lautz, Ronald Mailach
Proc. ASME. GT2024, Volume 10B: Structures and Dynamics — Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V10BT25A002, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-122477
https://doi.org/10.1115/GT2024-122477
View Paper titled, Possibilities of Applying Machine Learning Techniques for Probabilistic Analysis in a Turbine Blade-Disk Interface
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Topics: Blades, Disks, Machine learning, Metamodeling, Turbines, Deep neural networks, Design, Finite element model, Failure, Finite element analysis
Proceedings Papers

Probabilistic Analysis of Leading Edge Erosion Behavior of a High-Pressure Compressor in a Turbofan Engine

Andreas Türke, Lukas Schlüter, Matthias Voigt, Robin Schmidt, Andreas Vogel, Ronald Mailach
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT34A007, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-122239
https://doi.org/10.1115/GT2024-122239
View Paper titled, Probabilistic Analysis of Leading Edge Erosion Behavior of a High-Pressure Compressor in a Turbofan Engine
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Topics: Compressors, Engines, Erosion, High pressure (Physics), Turbofans, Blades, Geometry, Particulate matter, Dust, Wear
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
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Topics: Compressors, Design, Optimization, Rotors, Uncertainty quantification, Robustness, Uncertainty, Blades, Engines, Geometry
Journal Articles

ROUGHNESS INVESTIGATIONS ON IN-SERVICE HIGH-PRESSURE COMPRESSOR BLADES – PART II: ROUGHNESS PARAMETERIZATION AND CFD-BASED MODELLING OF ITS IMPACT ON TURBULENT FLOWS

Accepted Manuscript
Ilias Vasilopoulos, Paolo Adami, Matthias Voigt, Marcus Meyer, Ronald Mailach
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach.
Paper No: TURBO-23-1224
https://doi.org/10.1115/1.4065681
Published Online: June 6, 2024
View Article titled, ROUGHNESS INVESTIGATIONS ON IN-SERVICE HIGH-PRESSURE COMPRESSOR BLADES – PART II: ROUGHNESS PARAMETERIZATION AND CFD-BASED MODELLING OF ITS IMPACT ON TURBULENT FLOWS
Open the PDF for ROUGHNESS INVESTIGATIONS ON IN-SERVICE HIGH-PRESSURE COMPRESSOR BLADES – PART II: ROUGHNESS PARAMETERIZATION AND CFD-BASED MODELLING OF ITS IMPACT ON TURBULENT FLOWS in another window
Topics: Blades, Compressors, Computational fluid dynamics, High pressure (Physics), Modeling, Parametrization, Surface roughness, Turbochargers, Turbulence
Proceedings Papers

Thermodynamic Optimization of the Cooling System of a High-Pressure-Turbine Blade

Barbara Fiedler, Yannick Muller, Matthias Voigt, Ronald Mailach
Proc. ASME. GT2023, Volume 13D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V13DT34A020, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-103632
https://doi.org/10.1115/GT2023-103632
View Paper titled, Thermodynamic Optimization of the Cooling System of a High-Pressure-Turbine Blade
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Topics: Blades, Cooling, Cooling systems, Optimization, Pressure, Sensitivity analysis, Turbines
Proceedings Papers

Probabilistic CFD Analysis of a High-Pressure Compressor Under Consideration of Manufacturing and In-Service Variability

Lukas Schlüter, Matthias Voigt, Robin Schmidt, Bernd Becker, Ronald Mailach
Proc. ASME. GT2023, Volume 13D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V13DT34A001, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-100528
https://doi.org/10.1115/GT2023-100528
View Paper titled, Probabilistic CFD Analysis of a High-Pressure Compressor Under Consideration of Manufacturing and In-Service Variability
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Topics: Compressors, Computational fluid dynamics, High pressure (Physics), Manufacturing, Shapes, Airfoils, Rotors, Accounting, Blades, Boundary layers
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

Roughness Investigations on In-Service High-Pressure Compressor Blades – Part II: Roughness Parameterization and CFD-Based Modelling of its Impact on Turbulent Flows

Ilias Vasilopoulos, Paolo Adami, Matthias Voigt, Marcus Meyer, Ronald Mailach
Proc. ASME. GT2023, Volume 13C: Turbomachinery — Deposition, Erosion, Fouling, and Icing; Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V13CT32A008, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-101157
https://doi.org/10.1115/GT2023-101157
View Paper titled, Roughness Investigations on In-Service High-Pressure Compressor Blades – Part II: Roughness Parameterization and CFD-Based Modelling of its Impact on Turbulent Flows
Open the PDF for Roughness Investigations on In-Service High-Pressure Compressor Blades – Part II: Roughness Parameterization and CFD-Based Modelling of its Impact on Turbulent Flows in another window
Topics: Blades, Channel flow, Compressors, Computational fluid dynamics, High pressure (Physics), Modeling, Parametrization, Surface roughness, Turbulence
Proceedings Papers

Roughness Investigations on In-Service High-Pressure Compressor Blades – Part I: An Automated Process for High-Fidelity Roughness Measurements

Ilias Vasilopoulos, Mirco Rostamian, Matthias Voigt, Marcus Meyer, Ronald Mailach
Proc. ASME. GT2023, Volume 13C: Turbomachinery — Deposition, Erosion, Fouling, and Icing; Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V13CT32A003, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-100809
https://doi.org/10.1115/GT2023-100809
View Paper titled, Roughness Investigations on In-Service High-Pressure Compressor Blades – Part I: An Automated Process for High-Fidelity Roughness Measurements
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Topics: Blades, Compressors, High pressure (Physics), Surface roughness
Proceedings Papers

Surrogate-Based Robust Optimization of a Blade-Disk Interface

Elmira Emmrich, Matthias Voigt, Julia Maria Hörmann, Lukas Bruder, Ronald Mailach
Proc. ASME. GT2023, Volume 11B: Structures and Dynamics — Emerging Methods in Engineering Design, Analysis, and Additive Manufacturing; Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V11BT25A003, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-101522
https://doi.org/10.1115/GT2023-101522
View Paper titled, Surrogate-Based Robust Optimization of a Blade-Disk Interface
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Topics: Blades, Disks, Optimization, Design, Stress, Computer simulation, Robustness, Engines, Geometry, Jet engines
Proceedings Papers

A Machine Learning Approach for Probabilistic Evaluation of Finite Element Analysis

Florian Diermeier, Matthias Voigt, Ronald Mailach, Marcus Meyer
Proc. ASME. GT2023, Volume 11B: Structures and Dynamics — Emerging Methods in Engineering Design, Analysis, and Additive Manufacturing; Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V11BT25A001, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-100532
https://doi.org/10.1115/GT2023-100532
View Paper titled, A Machine Learning Approach for Probabilistic Evaluation of Finite Element Analysis
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Topics: Finite element analysis, Machine learning, Turbine blades, Approximation, Artificial neural networks, Electromagnetic scattering, Manufacturing, Polynomials, Sensitivity analysis, Shapes
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

The Validation of a Parametric Leading Edge Model for Probabilistic CFD Analyses of Post-Service Compressor Airfoils

Lukas Schlüter, Paul Voigt, Matthias Voigt, Ronald Mailach, Robin Schmidt, Mirco Rostamian, Bernd Becker
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A003, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-78309
https://doi.org/10.1115/GT2022-78309
View Paper titled, The Validation of a Parametric Leading Edge Model for Probabilistic CFD Analyses of Post-Service Compressor Airfoils
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Topics: Airfoils, Compressors, Computational fluid dynamics, Shapes, Rotors, Blades, Electromagnetic scattering, Flow simulation, High pressure (Physics), Jet engines
Proceedings Papers

Application of an Advanced Meta Model Selection Algorithm on the Sensitivity Analysis of a Cooled Turbine Blade

Florian Diermeier, Matthias Voigt, Ronald Mailach, Marcus Meyer
Proc. ASME. GT2022, Volume 8B: Structures and Dynamics — Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V08BT25A007, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-83123
https://doi.org/10.1115/GT2022-83123
View Paper titled, Application of an Advanced Meta Model Selection Algorithm on the Sensitivity Analysis of a Cooled Turbine Blade
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Topics: Selection algorithm, Sensitivity analysis, Turbine blades, Fittings, Aerospace industry, Complex systems, Polynomials, Reliability, Support vector machines
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

Multidisciplinary Sensitivity Analysis of the Cooling System of a High-Pressure Turbine Blade in the Pre-Design Phase

Barbara Fiedler, Yannick Muller, Matthias Voigt, Ronald Mailach
Proc. ASME. GT2021, Volume 2D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V02DT36A002, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-58507
https://doi.org/10.1115/GT2021-58507
View Paper titled, Multidisciplinary Sensitivity Analysis of the Cooling System of a High-Pressure Turbine Blade in the Pre-Design Phase
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Topics: Cooling, Cooling systems, Design, High pressure (Physics), Sensitivity analysis, Turbine blades
Proceedings Papers

Improved Rotor Design With Combined 3D-2D Probabilistic Approach

Lukas Schuchard, Matthias Voigt, Ronald Mailach, Peter Dumstorff, Armin de Lazzer, Henning Almstedt
Proc. ASME. GT2021, Volume 9B: Structures and Dynamics — Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V09BT27A002, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-58620
https://doi.org/10.1115/GT2021-58620
View Paper titled, Improved Rotor Design With Combined 3D-2D Probabilistic Approach
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Topics: Design, Rotors, Blades, Stress, Transients (Dynamics), Steam turbines, Thermomechanics, Boundary-value problems, Low cycle fatigue, Pressure
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
Proceedings Papers

Comparison of Two Methods for the Sensitivity Analysis of a One-Dimensional Cooling Flow Network of a High-Pressure-Turbine Blade

Barbara Fiedler, Yannick Muller, Matthias Voigt, Ronald Mailach
Proc. ASME. GT2020, Volume 2D: Turbomachinery, V02DT38A030, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-16295
https://doi.org/10.1115/GT2020-16295
View Paper titled, Comparison of Two Methods for the Sensitivity Analysis of a One-Dimensional Cooling Flow Network of a High-Pressure-Turbine Blade
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Topics: Blades, Cooling, Flow (Dynamics), Pressure, Sensitivity analysis, Turbines