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Soheyl Massoudi
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Journal Articles

An Integrated Approach to Designing Robust Gas-Bearing Supported Turbocompressors Through Surrogate Modeling and Constrained All-At-Once Multi-Objective Optimization

Soheyl Massoudi, Cyril Picard, Jürg Schiffmann
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. December 2024, 146(12): 121706.
Paper No: MD-24-1183
https://doi.org/10.1115/1.4065823
Published Online: July 19, 2024
View Article titled, An Integrated Approach to Designing Robust Gas-Bearing Supported Turbocompressors Through Surrogate Modeling and Constrained All-At-Once Multi-Objective Optimization
Open the PDF for An Integrated Approach to Designing Robust Gas-Bearing Supported Turbocompressors Through Surrogate Modeling and Constrained All-At-Once Multi-Objective Optimization in another window
Topics: Artificial neural networks, Bearings, Blades, Compressors, Design, Gas bearings, Manufacturing, Optimization, Robustness, Rotors
Proceedings Papers

An Integrated Approach to Designing Robust Turbocompressors on Gas Bearings Through Surrogate Modeling and Constrained Multi-Objective Optimization

Soheyl Massoudi, Cyril Picard, Jürg Schiffmann
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A069, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-115201
https://doi.org/10.1115/DETC2023-115201
View Paper titled, An Integrated Approach to Designing Robust Turbocompressors on Gas Bearings Through Surrogate Modeling and Constrained Multi-Objective Optimization
Open the PDF for An Integrated Approach to Designing Robust Turbocompressors on Gas Bearings Through Surrogate Modeling and Constrained Multi-Objective Optimization in another window
Topics: Artificial neural networks, Design, Gas bearings, Metamodeling, Pareto optimization
Journal Articles

Robust Design of Herringbone Grooved Journal Bearings Using Multi-Objective Optimization With Artificial Neural Networks

Soheyl Massoudi, Jürg Schiffmann
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach. November 2023, 145(11): 111010.
Paper No: TURBO-23-1158
https://doi.org/10.1115/1.4063392
Published Online: October 4, 2023
View Article titled, Robust Design of Herringbone Grooved Journal Bearings Using Multi-Objective Optimization With Artificial Neural Networks
Open the PDF for Robust Design of Herringbone Grooved Journal Bearings Using Multi-Objective Optimization With Artificial Neural Networks in another window
Topics: Artificial neural networks, Bearings, Design, Journal bearings, Manufacturing, Optimization, Pareto optimization, Robustness, Rotors, Clearances (Engineering)
Proceedings Papers

Robust Design of Herringbone Grooved Journal Bearings Using Multi-Objective Optimization With Artificial Neural Networks

Soheyl Massoudi, Jürg Schiffmann
Proc. ASME. GT2023, Volume 13D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V13DT34A013, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-102428
https://doi.org/10.1115/GT2023-102428
View Paper titled, Robust Design of Herringbone Grooved Journal Bearings Using Multi-Objective Optimization With Artificial Neural Networks
Open the PDF for Robust Design of Herringbone Grooved Journal Bearings Using Multi-Objective Optimization With Artificial Neural Networks in another window
Topics: Artificial neural networks, Design, Journal bearings, Manufacturing, Pareto optimization, Turbomachinery