Next generation turbomachinery with two-phase flow (Training42Phase)
Lead Research Organisation:
Imperial College London
Department Name: Mechanical Engineering
Abstract
The green transition of energy systems requires the implementation of a number of novel emerging energy conversion technologies based on turbomachinery with two-phase flow. However, the current level of knowledge and understanding of two-phase flow in turbomachinery is at a very low level, urgently calling for the need of education of scientists that can support the development of such technologies. The aim of Training42Phase is to educate the future leading scientists within turbomachinery with two-phase flow, thereby providing the scientific and technological basis required for the development of the next generation of turbomachinery. The project consortium includes all the key partners needed to address these challenging tasks and provide our group of 10 doctoral candidates with the best foundation for solving these challenges - leading European universities, and industrial partners from large international companies and SMEs, representing technology suppliers and providers of digitalized solutions. Training42phase will provide a first of its kind excellent training for 10 doctoral candidates within the following fields: 1) Innovative technological solutions that enable the design of cost-effective and reliable turbomachinery with two-phase flow.
2) Cutting-edge multi-disciplinary training in all fields related to the modelling, design, optimization and performance prediction of turbomachinery with two-phase flow, including aero-thermal modelling and design, stress and fatigue analysis, structural dynamics, hybrid/data-driven failure mechanism models, advanced optimization methods and data-driven analytic techniques based on machine learning.
3) Application of turbomachinery with two-phase flow to emerging novel technologies.
4) Top-level training in transferable skills, such as research and data management, scientific integrity and ethics, intellectual property rights and entrepreneurship, business planning, career planning and grant proposal writing.
2) Cutting-edge multi-disciplinary training in all fields related to the modelling, design, optimization and performance prediction of turbomachinery with two-phase flow, including aero-thermal modelling and design, stress and fatigue analysis, structural dynamics, hybrid/data-driven failure mechanism models, advanced optimization methods and data-driven analytic techniques based on machine learning.
3) Application of turbomachinery with two-phase flow to emerging novel technologies.
4) Top-level training in transferable skills, such as research and data management, scientific integrity and ethics, intellectual property rights and entrepreneurship, business planning, career planning and grant proposal writing.
People |
ORCID iD |
| Christoph Schwingshackl (Principal Investigator) |
| Description | New collaborations with DTU and PoliMi |
| Organisation | Polytechnic University of Milan |
| Country | Italy |
| Sector | Academic/University |
| PI Contribution | As part of this award, we are collaborating closely with DTU and PoliMi, allowing us to establish new research collaborations. We are currently in the process of setting up the ITN, and training will start in March 2025 |
| Collaborator Contribution | Our partners provide research insight into two phase flow, and they also provide a significant amount of training to our own DC. |
| Impact | So far no outputs yet, but I am expecting shared training and publications with our partners. |
| Start Year | 2024 |
| Description | New collaborations with DTU and PoliMi |
| Organisation | Technical University of Denmark |
| Country | Denmark |
| Sector | Academic/University |
| PI Contribution | As part of this award, we are collaborating closely with DTU and PoliMi, allowing us to establish new research collaborations. We are currently in the process of setting up the ITN, and training will start in March 2025 |
| Collaborator Contribution | Our partners provide research insight into two phase flow, and they also provide a significant amount of training to our own DC. |
| Impact | So far no outputs yet, but I am expecting shared training and publications with our partners. |
| Start Year | 2024 |