Advances in Structural Design for Turbomachinery Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".
Deadline for manuscript submissions: 30 January 2025 | Viewed by 650
Special Issue Editors
Interests: bladed disk structural dynamics; nonlinear vibrations in frictionally damped systems; reduction techniques; aeroelasticity
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, new methodologies to guide the design of complex systems such as turbomachinery have been introduced into industrial practices.
The performance enabled by new computer architectures, together with consolidated collaboration between industry and academia, has led to a broader framework of actions that can be performed from the preliminary design stage, reducing the time needed to develop a new product.
The computer-aided engineering paradigm of a sequence of operations, from CAD to FEM, then to manufacturing and, finally, to model updates, is changing to a model-based design framework where the designer is supported in reducing the simulation time and engineering time to validate a complex design, including a database of measurements in the field to predict the behavior of the system in service.
This Special Issue deals with new approaches to optimizing the design of complex systems such as turbomachinery, including the following topics:
- Parametric reduced-order models;
- Exploitation of high-performance computing;
- Digital twin development;
- Multiphysics simulation environments including aero-elastic effects, contact mechanics, and friction joint modeling;
- New hybrid electric solutions for propulsion systems in aviation and related structural supports;
- Machine learning and data-driven design methods;
- Life-cycle assessment for sustainable designs.
Dr. Christian Maria Firrone
Dr. Lorenzo Pinelli
Guest Editors
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Keywords
- parametric reduced-order models
- exploitation of high-performance computing
- digital twin development
- multiphysics simulation environment including aero-elastic effects, contact mechanics, and friction joint modeling
- new hybrid electric solutions for propulsion systems in aviation and related structural supports
- machine learning and data-driven design methods
- life-cycle assessment for sustainable designs
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