Potential Detection of Periodical Stirring Patterns in a VIRC using Time-Domain Autocorrelation

The assessment and the optimization of the stirring process of a VIRC is a difficult task which requires to deal with many parameters. This paper shows, using time-domain measurements performed at different frequencies, that repetitive stirring patterns of a VIRC can be detected using a simple time-domain autocorrelation performed over several seconds. In order to obtain a large effective sample size (or in other terms a large number of independent samples), it is of vital importance to break this repetitive pattern. The results which are presented on a fully-suspended VIRC show that the fact to excite a VIRC similarly at different points leads to VIRC poor performance. It is therefore imperative to break this periodical pattern in order to ensure high VIRC performance.