Performance Map Construction for a Centrifugal Diffuser with Data Mining Techniques

Abstract

Performance maps, which represent relations between performance and geometry pa- rameters, are essential for engineers to make a first decision on preliminary specifica- tion of a product to be designed. However, actual design often needs to consider var- ious performance and geometry parameters simultaneously. Therefore, the resulting performance maps must be constructed in a high-dimensional form. Based on these re- quirements, this paper proposes and demonstrates performance map construction with the aid of data mining techniques. Data mining can reveal characteristic patterns in high-dimensional data with performance and geometry parameters. Therefore, the data mining results make it easy to interpret complex features of performance vs. geome- try relations, and help engineers to discover new knowledge for engineering design through interpretation. The present demonstration of a centrifugal diffuser demon- strated that the data mining techniques are suitable and applicable to high-dimensional performance map construction, together with actual acquisition of new knowledge for diffuser design that was unknown from conventional quasi-one-dimensional nozzle theory