Model processes and cavitation indicators for a quantitative description of an ultrasonic cleaning vessel: Part II – Multivariate data analysis

A multivariate data analysis of cavitation indicators and parameters was carried out to improve the quantitative characterization of cavitation processes used in manufacturing and medical applications. The indicators were obtained from four model measurement methods applied to a 45 kHz cleaning vessel. Together with experimental data such as temperature and electrical input power they form the data basis of a factor analysis. The loadings of three factors were calculated and the indicators, the parameters, and finally the data were depicted in factor space. The factors show relations between the variables and several overlapping indicators and parameters were identified. The coordinates of the data (data scores) indicate tendencies within the data and the assessment of the factors allows the finding of hidden relations. Using the factor analysis three representing indicators or parameters specific to the application case are identified which can be used for a complete description of the process. This characterization method can favourably be applied in quality management systems.