SoftwareBlood Pressure Measurements Device Design
The objective of this optimisation is to find The best compromise between pressure losses and pressure uniformity on a blood pressure measurement device. The geometric model is defined in fig.1, from which it is possible to note that we consider 6 variables: the 2D ellyptical section semiaxes, the position and the the angle of incidence of the inlet and outlet pipes.
Fig.1 - Device geometrical variables
The CFD simulation has been made by Fluent, and the journey file recorded to collect all the commands to define the geometry, the mesh and place all the boundaries and run settings has been used by modeFrontier as template for the parameterisation.
Fig.2 - Pareto front (press_unif vs delta_p)
The algorithm used for this optimisation was MOGAII, and the results obtained are reported in fig.2. After above 400 computations, a Pareto front has been obtained, and among all the solutions we analyse three of them in particular: solution 379 is characterised by the lowest value of pressure standard deviation (that is the measure of pressure uniformity) but still an high value of pressure drop, while solution 442 have a low value of pressure drop but a high value of pressure standard deviation (and in fact the pressure distribution is far to uniformity). The best compromise seems to be the solution 87, that have good values for both the two objectives. The fitness of this solution is proved also by fig.3, that reports the velocity magnitude fields for the three solutions.
Fig.3 - Best solutions velocity field