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Multidisciplinary Design Approaches, Optimization and Uncertainty Quantification
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Proceedings Papers

Selection of the Optimum Control Parameters for Compressor Design Optimization Algorithm

Viktor Kilchyk, Emily Senay, Ahmed Abdelwahab
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A001, June 26–30, 2017
Paper No: GT2017-63009
https://doi.org/10.1115/GT2017-63009
View Paper titled, Selection of the Optimum Control Parameters for Compressor Design Optimization Algorithm
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Topics: Compressors, Design, Optimization algorithms, Algorithms, Optimization, Computational fluid dynamics, Testing, Chaos, Genetic algorithms, Geometry
Proceedings Papers

Selecting Rational Parameters for Ultra-Low Power Two-Stage Axial Turbine With Pressure Stages

D. S. Kalabukhov, V. A. Grigoriev, V. M. Rad’ko
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A007, June 26–30, 2017
Paper No: GT2017-63589
https://doi.org/10.1115/GT2017-63589
View Paper titled, Selecting Rational Parameters for Ultra-Low Power Two-Stage Axial Turbine With Pressure Stages
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Topics: Pressure, Turbines, Design, Optimization, Algorithms, Diesel engines, Energy resources, Flow simulation, Manufacturing, Pareto optimization
Proceedings Papers

A Centrifugal Compressor Impeller: A Multidisciplinary Optimization to Improve its Mass, Strength, and Gas-Dynamic Characteristics

Anton Salnikov, Maxim Danilov
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A013, June 26–30, 2017
Paper No: GT2017-64123
https://doi.org/10.1115/GT2017-64123
View Paper titled, A Centrifugal Compressor Impeller: A Multidisciplinary Optimization to Improve its Mass, Strength, and Gas-Dynamic Characteristics
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Topics: Compressor impellers, Optimization, Design, Wheels, Engines, Compressors, Gas turbines, Impellers, Cycles, Engineering disciplines
Proceedings Papers

Quantification of X-Ray Measurement Uncertainty Based on Optical Measurement Data of Turbine Blades

Lars Högner, Sebastian Knebel, Matthias Voigt, Ronald Mailach, Marcus Meyer
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A008, June 26–30, 2017
Paper No: GT2017-63704
https://doi.org/10.1115/GT2017-63704
View Paper titled, Quantification of X-Ray Measurement Uncertainty Based on Optical Measurement Data of Turbine Blades
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Topics: Measurement uncertainty, Optical measurement, Turbine blades, X-rays, Geometry, Blades, Design, Uncertainty, Uncertainty quantification, Wall thickness
Proceedings Papers

Accurate Method to Reproduce Throughflow Results With a Meanline Solver

Jose M. Chaquet, Roque Corral, Alfredo Fernandez
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A002, June 26–30, 2017
Paper No: GT2017-63153
https://doi.org/10.1115/GT2017-63153
View Paper titled, Accurate Method to Reproduce Throughflow Results With a Meanline Solver
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Topics: Errors, Flow (Dynamics), Geometry, Guide vanes, Mach number, Optimization, Pressure, Robustness, Simulation, Turbines
Proceedings Papers

Optimization of Coupled System Components Using Approximations of Interface Quantities

Michael Lockan, Dieter Bestle, Christian Janke, Marcus Meyer
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A014, June 26–30, 2017
Paper No: GT2017-64135
https://doi.org/10.1115/GT2017-64135
View Paper titled, Optimization of Coupled System Components Using Approximations of Interface Quantities
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Topics: Approximation, Optimization, Turbines, Design, Jet engines, Complex systems, Engineering disciplines, Experimental design, Pressure, Systems analysis
Proceedings Papers

Design Optimization of a 3D Parameterized Vane Cascade With Non-Axisymmetric Endwall Based on a Modified EGO Algorithm and Data Mining Techniques

Chenxi Li, Zhendong Guo, Liming Song, Jun Li, Zhenping Feng
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A009, June 26–30, 2017
Paper No: GT2017-63738
https://doi.org/10.1115/GT2017-63738
View Paper titled, Design Optimization of a 3D Parameterized Vane Cascade With Non-Axisymmetric Endwall Based on a Modified EGO Algorithm and Data Mining Techniques
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Topics: Algorithms, Cascades (Fluid dynamics), Data mining, Design, Optimization, Evolutionary algorithms, Pressure, Testing, Turbines, Turbomachinery
Proceedings Papers

Robust Optimization Design of Compressor Blade Considering Machining Error

Chi Ma, Limin Gao, Yutong Cai, Ruiyu Li
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A003, June 26–30, 2017
Paper No: GT2017-63157
https://doi.org/10.1115/GT2017-63157
View Paper titled, Robust Optimization Design of Compressor Blade Considering Machining Error
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Topics: Blades, Compressors, Design, Errors, Machining, Optimization, Manufacturing, Airfoils, B-splines, Chaos
Proceedings Papers

A Newly Improved Collaborative Optimization Strategy: Application to Conceptual Multidisciplinary Design Optimization of a Civil Aero-Engine

Cheng Yan, Zeyong Yin, Fushui Guo, Xiuli Shen, Jun Fan, Ju Luo
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A015, June 26–30, 2017
Paper No: GT2017-64177
https://doi.org/10.1115/GT2017-64177
View Paper titled, A Newly Improved Collaborative Optimization Strategy: Application to Conceptual Multidisciplinary Design Optimization of a Civil Aero-Engine
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Topics: Aircraft engines, Design, Optimization, Pressure, Engineering disciplines, Turbines, Structural analysis, Structural mechanics, Aerodynamics, Algorithms
Proceedings Papers

Knowledge-Based Aero-Thermal Multi-Disciplinary Design Optimization of a High Temperature Blade

Yingjie Song, Zhendong Guo, Liming Song, Jun Li, Zhenping Feng
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A010, June 26–30, 2017
Paper No: GT2017-63880
https://doi.org/10.1115/GT2017-63880
View Paper titled, Knowledge-Based Aero-Thermal Multi-Disciplinary Design Optimization of a High Temperature Blade
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Topics: Blades, Design, High temperature, Optimization, Algorithms, Computational fluid dynamics, Computer simulation, Cooling, Design methodology, Evolutionary algorithms
Proceedings Papers

CAD-Based Aerodynamic Optimization of a Compressor Stator Using Conventional and Adjoint-Driven Approaches

Ilias Vasilopoulos, Peter Flassig, Marcus Meyer
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A004, June 26–30, 2017
Paper No: GT2017-63199
https://doi.org/10.1115/GT2017-63199
View Paper titled, CAD-Based Aerodynamic Optimization of a Compressor Stator Using Conventional and Adjoint-Driven Approaches
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Topics: Compressors, Computer-aided design, Optimization, Stators, Blades, Chain, Computational fluid dynamics, Design, Manufacturing, Response surface methodology
Proceedings Papers

Effect of Foil Geometry on the Static Performance of Thrust Foil Bearings

Gen Fu, Alexandrina Untaroiu, Erik Swanson
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A016, June 26–30, 2017
Paper No: GT2017-64535
https://doi.org/10.1115/GT2017-64535
View Paper titled, Effect of Foil Geometry on the Static Performance of Thrust Foil Bearings
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Topics: Foil bearings, Geometry, Thrust, Computational fluid dynamics, Design, Film thickness, Fluids, Friction, Rotors, Stress
Proceedings Papers

Comparative Analysis of Methodologies for Uncertainty Propagation and Quantification

Alessandra Cuneo, Alberto Traverso, Shahrokh Shahpar
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A005, June 26–30, 2017
Paper No: GT2017-63238
https://doi.org/10.1115/GT2017-63238
View Paper titled, Comparative Analysis of Methodologies for Uncertainty Propagation and Quantification
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Topics: Uncertainty, Polynomials, Chaos, Design, Engineering design, Simulation, Approximation, Disks, High pressure (Physics), Manufacturing
Proceedings Papers

Metamodel-Assisted Optimization of a High-Lift Low Pressure Turbine Blade

Fabio Bigoni, Roberto Maffulli, Tony Arts, Tom Verstraete
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A011, June 26–30, 2017
Paper No: GT2017-63991
https://doi.org/10.1115/GT2017-63991
View Paper titled, Metamodel-Assisted Optimization of a High-Lift Low Pressure Turbine Blade
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Topics: Optimization, Pressure, Turbine blades, Blades, Bubbles, Engines, Evolutionary algorithms, Fluid dynamics, Inflow, Reynolds number
Proceedings Papers

Tackling Highly Constrained Design Problems: Efficient Optimisation of a Highly Loaded Transonic Compressor

Lieven Baert, Paul Beaucaire, Michaël Leborgne, Caroline Sainvitu, Ingrid Lepot
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A017, June 26–30, 2017
Paper No: GT2017-64610
https://doi.org/10.1115/GT2017-64610
View Paper titled, Tackling Highly Constrained Design Problems: Efficient Optimisation of a Highly Loaded Transonic Compressor
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Topics: Compressors, Design, Optimization, Cycles, Turbomachinery, Blades, Computation, Computer simulation, Flow (Dynamics), Interpolation
Proceedings Papers

Optimization of the Operation Characteristic of a Highly Stressed Centrifugal Compressor Impeller Using Automated Optimization and Metamodeling Methods

Marius Geller, Christoph Schemmann, Norbert Kluck
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A006, June 26–30, 2017
Paper No: GT2017-63262
https://doi.org/10.1115/GT2017-63262
View Paper titled, Optimization of the Operation Characteristic of a Highly Stressed Centrifugal Compressor Impeller Using Automated Optimization and Metamodeling Methods
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Topics: Compressor impellers, Optimization, Carbon dioxide, Computation, Impellers, Turbochargers, Turbomachinery, Workflow, Algorithms, Chain
Proceedings Papers

High-Loaded Compressor Blisk-Type Impeller Multidisciplinary Optimization

Tatiana Buyukli, Anton Salnikov, Yury Fedorchenko
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A012, June 26–30, 2017
Paper No: GT2017-64116
https://doi.org/10.1115/GT2017-64116
View Paper titled, High-Loaded Compressor Blisk-Type Impeller Multidisciplinary Optimization
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Topics: Compressors, Impellers, Optimization, Blades, Weight (Mass), Design, Disks, Resonance, Aerodynamics, Dimensions
Proceedings Papers

Robust Detection and Characterization of Cooling Holes Based on Surface Meshes of Turbine Blades

Sebastian Knebel, Oliver Baum, Lars Högner, Matthias Voigt, Ronald Mailach, Marcus Meyer
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A018, June 26–30, 2017
Paper No: GT2017-64776
https://doi.org/10.1115/GT2017-64776
View Paper titled, Robust Detection and Characterization of Cooling Holes Based on Surface Meshes of Turbine Blades
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Topics: Cooling, Turbine blades, Algorithms, Cylinders, Blades, Errors, Rotors, Shapes, X-rays
Proceedings Papers

Toward Affordable Uncertainty Quantification for Industrial Problems: Part I — Theory and Validation

Tiziano Ghisu, Shahrokh Shahpar
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A019, June 26–30, 2017
Paper No: GT2017-64842
https://doi.org/10.1115/GT2017-64842
View Paper titled, Toward Affordable Uncertainty Quantification for Industrial Problems: Part I — Theory and Validation
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Topics: Uncertainty quantification, Polynomials, Uncertainty, Approximation, Chaos, Deflection, Least squares approximations, Tensors
Proceedings Papers

CAD-Based Adjoint Optimization of the Stresses in a Radial Turbine

Tom Verstraete, Lasse Müller, Jens-Dominik Müller
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A025, June 26–30, 2017
Paper No: GT2017-65005
https://doi.org/10.1115/GT2017-65005
View Paper titled, CAD-Based Adjoint Optimization of the Stresses in a Radial Turbine
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Topics: Computer-aided design, Optimization, Stress, Turbines, Design, Shapes, Cycles, Fluids, Stress analysis (Engineering), Turbomachinery