Statistical Energy Analysis for a Compact Refrigeration Compressor

摘要

Traditionally the prediction of the vibrational energy levels of the components in a compressorrnhas been accomplished by using a deterministic model such as a finite element model. While arndeterministic approach requires considerable detail and computational time to perform arncomplete dynamic analysis, statistical energy analysis (SEA) requires much less information andrncomputing time. All of these benefits can be obtained by using data averaged over the frequencyrnand spatial domains instead of the direct use of deterministic data [1,2]. In this work, SEA wasrnapplied to a compact refrigeration compressor for the prediction of dynamic behavior. Since therncompressor used in this application was compact and stiff, the modal densities of its variousrncomponents were low, especially in the low frequency range, and most energy transfers in thisrnrange occur through indirect coupling paths instead of via direct coupling [3]; the concept ofrnindirect coupling was introduced in Refs. 4 and 5. For this reason, experimental SEA (ESEA),rnwhich is well-adapted to account for indirect coupling, was used to derive an SEA formulation inrnthe present case. Direct comparison of SEA results and experimental data for an operatingrncompressor will be presented. The power transfer path analysis that is made possible by usingrnSEA will also be described to show the benefit of SEA in this application.