1-4 of 4
Giuseppe Bruni
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Application of Machine Learning to Forced Response Predictions of an Industrial Axial Compressor Rotor Blade

Giuseppe Bruni, Senthil Krishnababu, Simon Jackson
Proc. ASME. GT2022, Volume 8A: Structures and Dynamics — Aerodynamics Excitation and Damping; Bearing and Seal Dynamics; Emerging Methods in Engineering Design, Analysis, and Additive Manufacturing; Fatigue, Fracture, and Life Prediction, V08AT21A019, June 13–17, 2022
Paper No: GT2022-82427
DOI: https://doi.org/10.1115/GT2022-82427
View Paper
PDF
Topics: Blades, Compressors, Machine learning, Rotors, Design, Artificial neural networks, Computational fluid dynamics, Algorithms, Cycles, Damping
Journal Articles

Application of Machine Learning to Forced Response Predictions of an Industrial Axial Compressor Rotor Blade

Giuseppe Bruni, Senthil Krishnababu, Simon Jackson
Journal: Journal of Engineering for Gas Turbines and Power
Article Type: Research-Article
J. Eng. Gas Turbines Power. January 2023, 145(1): 011019.
Paper No: GTP-22-1341
DOI: https://doi.org/10.1115/1.4055634
Published Online: October 21, 2022
View Article
PDF
Topics: Artificial neural networks, Blades, Compressors, Computational fluid dynamics, Damping, Design, Machine learning, Mode shapes, Resonance, Modal analysis
Proceedings Papers

On the Forced Response Predictions and Life Improvements of an Industrial Axial Compressor Rotor Blade

Senthil Krishnababu, Giuseppe Bruni, Agnieszka Frach
Proc. ASME. GT2021, Volume 9A: Structures and Dynamics — Aerodynamics Excitation and Damping; Bearing and Seal Dynamics; Emerging Methods in Design and Engineering, V09AT23A007, June 7–11, 2021
Paper No: GT2021-58923
DOI: https://doi.org/10.1115/GT2021-58923
View Paper
PDF
Topics: Blades, Compressors, Rotors, Design, Engines, Excitation, High cycle fatigue, Resonance, Computation, Cycles
Proceedings Papers

Squealer Tip Treatment Design for Axial Compressors

Giuseppe Bruni, James Taylor, Senthil Krishnababu, Robert Miller, Roger Wells
Proc. ASME. GT2020, Volume 2A: Turbomachinery, V02AT32A035, September 21–25, 2020
Paper No: GT2020-14906
DOI: https://doi.org/10.1115/GT2020-14906
View Paper
PDF
Topics: Compressors, Computational fluid dynamics, Design, Leakage