In the last few years technologies such as additive manufacturing are becoming more common for gas turbine applications, allowing greater flexibility in the design space. There is now a drive from Net Zero challenging targets to fully exploit this flexibility and to design and validate new parts in a digital environment.
Full digitalisation of the process has the potential to generate completely new designs, not based on past solutions. However, this requires more accurate estimators for critical applications, such as the high temperature components of high-pressure stages, in order to be sure that the solution is feasible and reliable. Recent development of machine learning methodologies is enabling estimators with greater accuracy to be produced.
Francesco Montomoli is Professor of Computational Aerodynamics at Imperial College London whose research is moving the field towards the full digital design of a gas turbine for net zero. In his inaugural lecture he will be show how optimization methods, mainly based on topology optimization strategies, can be used to fulfil these needs, and how recent studies have shown how such optimization based on deep neural networks is opening new possibilities for the design of next generation gas turbines.
Негізгі бет Ғылым және технология Digital Design and Net Zero in Aviation
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