Case 2: Multi-point/Multi-disciplinary Automatic Optimization of Impeller
One of the main issues facing pump manufacturers is the requirement to meet emission regulations such as EU’s ECOdesign directive. These regulations consider the life cycle emission from the pump and hence mean that the design of the pump must be done in such a way that considers performance at multiple operating points. In order to meet these requirements efficiently, Grundfos has developed an automatic optimization strategy based on Design of Experiments, Surrogate modelling using Kriging and then running optimization such as Multi-objective genetic algorithm on the surrogate model. Fig. 6 shows the schematic of this system. In this system the main dimensioning is done by using an inhouse meanline code and 3D geometry generation is done by using TURBOdesign1.
Each geometry of impeller in the DOE table is meshed automatically for CFD. This is then followed by CFD computation at multiple operating points and post processing of relevant information such as efficiency, head and power at various points. In addition, a measure of production fitness of the impeller geometry for a given manufacturing method is computed. Typical runs involve about 40 impeller configurations generated by TURBOdesign1. The resulting surrogate models are generally very accurate. This accuracy is only possible because TURBOdesign1 can maintain the Euler head for the different geometries in the DOE table. Furthermore, with the inverse design approach a large design space can be covered by just a few design parameters related to blade loading.
The result of the application of this approach has led to substantial improvement in product performance with reduced design cost and lead time. It has resulted in improving hydraulic efficiency of the pump by 1-2%, while extending the maximum efficiency level over a wider range of flow rates, see Fig. 7.