1-7 of 7
Soheyl Massoudi
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
Journal Articles

DARTS-NETGAB: DESIGN AUTOMATION AND REAL-TIME SIMULATION USING NEURAL NETWORKS ENSEMBLES FOR TURBOCOMPRESSORS ON GAS-BEARINGS

Accepted Manuscript
Soheyl Massoudi, Joseph Bejjani, Timothy Horvath, Dogukan Üstün, Jürg Schiffmann
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des.
Paper No: MD-24-1694
https://doi.org/10.1115/1.4068091
Published Online: March 4, 2025
View Article titled, DARTS-NETGAB: DESIGN AUTOMATION AND REAL-TIME SIMULATION USING NEURAL NETWORKS ENSEMBLES FOR TURBOCOMPRESSORS ON GAS-BEARINGS
Open the PDF for DARTS-NETGAB: DESIGN AUTOMATION AND REAL-TIME SIMULATION USING NEURAL NETWORKS ENSEMBLES FOR TURBOCOMPRESSORS ON GAS-BEARINGS in another window
Topics: Artificial neural networks, Computer-aided design, Design, Design automation, Gas bearings, Optimization, Simulation, Visualization
Proceedings Papers

ParaturboCAD: Automated Parametric Geometry Construction for Gas-Bearing Supported Turbocompressor Design With Python

Soheyl Massoudi, Joseph Bejjani, Timothy Horvath, Dogukan Üstün, Jürg Schiffmann
Proc. ASME. IDETC-CIE2024, Volume 3B: 50th Design Automation Conference (DAC), V03BT03A028, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143696
https://doi.org/10.1115/DETC2024-143696
View Paper titled, ParaturboCAD: Automated Parametric Geometry Construction for Gas-Bearing Supported Turbocompressor Design With Python
Open the PDF for ParaturboCAD: Automated Parametric Geometry Construction for Gas-Bearing Supported Turbocompressor Design With Python in another window
Topics: Computer-aided design, Construction, Design, Gas bearings, Geometry, Modeling, Parametrization
Proceedings Papers

DARTS-NETGAB: Design Automation and Real-Time Simulation Using Neural Networks Ensembles for Turbocompressors on Gas-Bearings

Soheyl Massoudi, Joseph Bejjani, Timothy Horvath, Dogukan Üstun, Jürg Schiffmann
Proc. ASME. IDETC-CIE2024, Volume 3B: 50th Design Automation Conference (DAC), V03BT03A054, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143135
https://doi.org/10.1115/DETC2024-143135
View Paper titled, DARTS-NETGAB: Design Automation and Real-Time Simulation Using Neural Networks Ensembles for Turbocompressors on Gas-Bearings
Open the PDF for DARTS-NETGAB: Design Automation and Real-Time Simulation Using Neural Networks Ensembles for Turbocompressors on Gas-Bearings in another window
Topics: Artificial neural networks, Computer-aided design, Design, Design automation, Gas bearings, Simulation
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