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Journal Articles

HIGH-DIMENSIONAL UNCERTAINTY QUANTIFICATION OF HIGH-PRESSURE TURBINE VANE BASED ON MULTI-FIDELITY DEEP NEURAL NETWORKS

Accepted Manuscript
Zhihui Li, Francesco Montomoli, Nicola Casari, Michele Pinelli
Journal: Journal of Turbomachinery
Article Type: Research Papers
Publisher: ASME
J. Turbomach.
Paper No: TURBO-23-1153
https://doi.org/10.1115/1.4063391
Published Online: September 11, 2023
View Article titled, HIGH-DIMENSIONAL UNCERTAINTY QUANTIFICATION OF HIGH-PRESSURE TURBINE VANE BASED ON MULTI-FIDELITY DEEP NEURAL NETWORKS
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Topics: Artificial neural networks, Design, Gas turbines, High pressure (Physics), Turbines, Turbochargers, Uncertainty quantification, Flow (Dynamics), Uncertainty, Compressors
Journal Articles

Turbine Endwall Contouring Through Advanced Optimization Techniques

M. Burigana, T. Verstraete, S. Lavagnoli
Journal: Journal of Turbomachinery
Article Type: Research Papers
J. Turbomach. August 2023, 145(8): 081011.
Paper No: TURBO-22-1259
https://doi.org/10.1115/1.4062211
Published Online: April 12, 2023
View Article titled, Turbine Endwall Contouring Through Advanced Optimization Techniques
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Topics: Blades, B-splines, Design, Flow (Dynamics), Geometry, Optimization, Parametrization, Rotors, Turbines, High pressure (Physics)
Journal Articles

Exploring Topology Optimization for High Pressure Turbine Blade Tips

Luka Vincekovic, Alistair John, Ning Qin, Shahrokh Shahpar
Journal: Journal of Turbomachinery
Article Type: Research Papers
J. Turbomach. July 2022, 144(7): 071013.
Paper No: TURBO-21-1167
https://doi.org/10.1115/1.4053917
Published Online: March 16, 2022
View Article titled, Exploring Topology Optimization for High Pressure Turbine Blade Tips
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Topics: Blades, Design, Optimization, Topology, High pressure (Physics), Turbines, Pressure, Flow (Dynamics), Parametrization
Journal Articles

Aerothermal Optimization of Turbine Squealer Tip Geometries With Arbitrary Cooling Injection

C. De Maesschalck, V. Andreoli, G. Paniagua, T. Gillen, B. Barker
Journal: Journal of Turbomachinery
Article Type: Research Papers
J. Turbomach. November 2021, 143(11): 111010.
Paper No: TURBO-21-1037
https://doi.org/10.1115/1.4051268
Published Online: June 21, 2021
View Article titled, Aerothermal Optimization of Turbine Squealer Tip Geometries With Arbitrary Cooling Injection
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Topics: Cooling, Design, Heat transfer, Optimization, Parametrization, Turbines, Flow (Dynamics), Stress, Coolants, Geometry
Journal Articles

Predicting the Operability of Damaged Compressors Using Machine Learning

J. V. Taylor, B. Conduit, A. Dickens, C. Hall, M. Hillel, R. J. Miller
Journal: Journal of Turbomachinery
Article Type: Research Papers
J. Turbomach. May 2020, 142(5): 051010.
Paper No: TURBO-19-1281
https://doi.org/10.1115/1.4046658
Published Online: April 30, 2020
View Article titled, Predicting the Operability of Damaged Compressors Using Machine Learning
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Topics: Artificial neural networks, Blades, Compressors, Damage, Machine learning, Pressure, Parametrization