Project description
A closer look at aircraft engine cooling
Heat exchangers (HXs) are vital components in energy systems, including aviation engine cooling. As aircraft systems become more compact and efficiency demands rise, the need for advanced HX design is more pressing than ever. The MSCA-funded ADeHEx project will design custom compact HXs for the engines of tomorrow. Specifically, it combines topology optimisation (TO) and additive manufacturing (AM) techniques to create efficient HXs. While TO for thermo-fluidic problems has advanced, its industrial applications have been hindered by computational costs. As such, ADeHEx’s goal is to develop a comprehensive design methodology for multi-scale 3D fluid-to-fluid HXs using machine learning-based de-homogenisation. This includes constructing homogenised thermo-hydraulic computational models and employing convolutional neural networks to reduce computational time.
Objective
                                Heat exchangers (HXs) are at the heart of many energy systems, one example being engine cooling in the aviation industry. Advanced design of HXs is urgent since aircraft systems are becoming smaller and need to become more efficient. Through topology optimisation (TO) and additive manufacturing (AM), custom compact HXs will be designed to cool the engines of tomorrow. Although TO of thermofluidic problems has recently undergone tremendous development, the technology is mostly limited to academic problems, since existing approaches are restricted to macroscopic design with extreme computational cost being prohibitive for industrial applications.
The objective of ADeHEx is therefore to propose an integrated design methodology for multi-scale 3D fluid-to-fluid HXs using machine learning-based de-homogenization. Specifically, I will a) construct a homogenized thermohydraulic computational model; b) use convolutional neural networks to recover detailed micro-channel design from homogenization-based TO, reducing computational time by at least two orders of magnitude. Implemented at University of Southern Denmark and at the secondment, Brown University, a two-way transfer of knowledge is guaranteed through my expertise in level-set-based TO and the expertise of the supervisors in complex multiphysics modelling and physics-based machine learning. ADeHEx will a) consolidate my academic excellence and professional maturity through new skills and competences in machine learning, homogenized thermohydraulic models, teaching, supervision, project management, dissemination, industrial engagement, networking; b) harness the complementary expertise of two strong multidisciplinary teams, pushing research to the forefront of design engineering and computer science and informatics; c) revolutionize the design process of HXs and multiphysics system optimisation, while benefiting EU companies in manufacturing, aviation, etc., and raising European economic competitiveness.
                            
                                Fields of science (EuroSciVoc)
                                                                                                            
                                            
                                            
                                                CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See:   The European Science Vocabulary.
                                                
                                            
                                        
                                                                                                
                            CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology mechanical engineering vehicle engineering aerospace engineering aircraft
- natural sciences mathematics pure mathematics topology
- natural sciences computer and information sciences computational science multiphysics
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                                        Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
                                        
                                    
                                
                            
                            
                        Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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                  HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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                  Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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(opens in new window) HORIZON-MSCA-2022-PF-01
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5230 Odense M
Denmark
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