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Michael Joly
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Proceedings Papers

Experimental Characterization of Flow Structure and Reynolds Stresses Covering an Entire Rotor Passage of an Axial Compressor

Ayush Saraswat, Subhra Shankha Koley, Simon Evans, Michael Joly, Joseph Katz
Proc. ASME. GT2023, Volume 13A: Turbomachinery — Axial Flow Fan and Compressor Aerodynamics, V13AT29A029, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-102633
https://doi.org/10.1115/GT2023-102633
View Paper titled, Experimental Characterization of Flow Structure and Reynolds Stresses Covering an Entire Rotor Passage of an Axial Compressor
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Topics: Compressors, Experimental characterization, Flow (Dynamics), Rotors, Stress, Turbulence
Journal Articles

Multifidelity and Multiscale Bayesian Framework for High-Dimensional Engineering Design and Calibration

Soumalya Sarkar, Sudeepta Mondal, Michael Joly, Matthew E. Lynch, Shaunak D. Bopardikar, Ranadip Acharya, Paris Perdikaris
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. December 2019, 141(12): 121001.
Paper No: MD-19-1167
https://doi.org/10.1115/1.4044598
Published Online: September 30, 2019
View Article titled, Multifidelity and Multiscale Bayesian Framework for High-Dimensional Engineering Design and Calibration
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Topics: Calibration, Optimization, Design
Journal Articles

Machine Learning Enabled Adaptive Optimization of a Transonic Compressor Rotor With Precompression

Michael Joly, Soumalya Sarkar, Dhagash Mehta
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research-Article
J. Turbomach. May 2019, 141(5): 051011.
Paper No: TURBO-18-1262
https://doi.org/10.1115/1.4041808
Published Online: January 25, 2019
View Article titled, Machine Learning Enabled Adaptive Optimization of a Transonic Compressor Rotor With Precompression
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Topics: Design, Optimization, Machine learning, Computational fluid dynamics, Rotors, Compressors
Proceedings Papers

Machine Learning Enabled Adaptive Optimization of a Transonic Compressor Rotor With Pre-Compression

Michael Joly, Soumalya Sarkar, Dhagash Mehta
Proc. ASME. GT2018, Volume 2C: Turbomachinery, V02CT42A050, June 11–15, 2018
Publisher: American Society of Mechanical Engineers
Paper No: GT2018-77098
https://doi.org/10.1115/GT2018-77098
View Paper titled, Machine Learning Enabled Adaptive Optimization of a Transonic Compressor Rotor With Pre-Compression
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Topics: Compression, Compressors, Machine learning, Optimization, Rotors, Design, Computational fluid dynamics, Failure, Geometry, NASA
Proceedings Papers

Full Design of a Highly Loaded and Compact Contra-Rotating Fan Using Multidisciplinary Evolutionary Optimization

Michael Joly, Tom Verstraete, Guillermo Paniagua
Proc. ASME. GT2013, Volume 6B: Turbomachinery, V06BT43A009, June 3–7, 2013
Publisher: American Society of Mechanical Engineers
Paper No: GT2013-94433
https://doi.org/10.1115/GT2013-94433
View Paper titled, Full Design of a Highly Loaded and Compact Contra-Rotating Fan Using Multidisciplinary Evolutionary Optimization
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Topics: Design, Optimization, Computational fluid dynamics, Flow (Dynamics), Rotors, Fans, Pareto optimization, Algorithms, Machinery, Pressure
Proceedings Papers

Full Design of a Highly Loaded Fan by Multi-Objective Optimization of Through-Flow and High-Fidelity Aero-Mechanical Performances

Michael Joly, Tom Verstraete, Guillermo Paniagua
Proc. ASME. GT2012, Volume 8: Turbomachinery, Parts A, B, and C, 2293-2301, June 11–15, 2012
Publisher: American Society of Mechanical Engineers
Paper No: GT2012-69686
https://doi.org/10.1115/GT2012-69686
View Paper titled, Full Design of a Highly Loaded Fan by Multi-Objective Optimization of Through-Flow and High-Fidelity Aero-Mechanical Performances
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Topics: Design, Flow (Dynamics), Pareto optimization, Optimization, Computational fluid dynamics, Algorithms, Axial flow, Compressors, Design methodology, Fluids