Abstract
Ultrasonic flow meters with an intrusive two-stand configuration present a complex flow behaviour due to their unique geometry, which offers an interesting and challenging case to evaluate optimisation methods in wall-bounded flows. In this study, the design and analysis of computer models and shape optimisation by mesh morphing are utilised to predict the turbulent flow and perform a robust two-step geometry optimisation of the flow meter. Design optimisation is accomplished by surrogate modelling based on Kriging, Latin hypercube sampling, and Bayesian strategies. A novel function to quantify flow meter measurement robustness is evaluated together with pressure drop in order to define a multi-objective optimisation problem. The design optimisation Pareto front is shown and compared numerically and experimentally. Subsequently, one of the non-dominated designs is further improved by mesh morphing with the aid of the adjoint method, acquiring a novel topology with further optimisation gains. The final results display performance gains, and the final geometrical changes in the 3D space are shown. The applied methodology provides a robust and efficient framework to evaluate design changes and improve complex internal-flow geometries with similar features.
Original language | English |
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Title of host publication | The 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements |
Number of pages | 6 |
Publication date | Sept 2023 |
Pages | 109-114 |
Publication status | Published - Sept 2023 |
Event | The 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements - Barcelona, Spain Duration: 1 Sept 2023 → … |
Conference
Conference | The 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements |
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Country/Territory | Spain |
City | Barcelona |
Period | 01/09/2023 → … |