Calibration and uncertainty analysis for multicomponent force/torque measurements

Abstract Many applications in research and industry require accurate measurements of force and torque vectors G. Schicker, R. Wegener. Drehmoment richtig messen. Hottinger-Baldwin-Messtechnik , 2002; R. Schwartz. Teil B: Sensoren, Kraft, Masse, Drehmoment. In H.-J. Gevatter and U. Grünhaupt, editors, Handbuch der Mess- und Automatisierungstechnik in der Produktion , VDI-Buch, pages 55–92. Springer, Dordrecht, 2006. as well as their time dependency. This measurement task can be solved by using multicomponent sensors. Despite of their wide distribution there is a lack of official guides for their calibration D. Schwind and H. Raabe. A new Calibration Procedure for Multicomponent transducers. XX IMEKO World Congress, Metrology for Green Growth, Busan, Republic of Korea , September 9–12, 2012. and methods for evaluation of measurement uncertainty. In many applications statically calibrated mulicomponent sensors are used for measurement of dynamic quantities Y.-K. Park, R. Kumme, and D.-I. Kang. Dynamic investigation of a binocular six-component force-moment sensor. Measurement Science and Technology , 13(8):1311–1318, 2002. which causes severe deviations in measurement when the quantity to be measured has a frequency near or above resonance frequency of the transducer. This paper describes the static calibration and a method for uncertainty analysis using the example of a six-component sensor for force and torque. Subsequently the dynamic calibration of such a sensor is discussed. Based on the results of the dynamic calibration an approach for evaluation of dynamic measurement uncertainty is applied.