MICRO-TORQUE MEASUREMENTS FOR A PROTOTYPE TURBINE

Many applications for microengineered devices can be envisaged for act uators capable of doing work or transferring power. Millimetre order t urbines are considered in this study for the development of torque and the possibilities for the delivery of work. A prototype microturbine, with overall thickness of less than a millimetre, was studied for its torque capabilities. The initial prototype was realized using precisi on mechanics although implementation of the turbine is planned using m icroengineering techniques. A viscous braking method was developed to measure the shaft torque of the turbine, demonstrating shaft coupling and the possibilities for power transfer. In order to validate the vis cous braking method for torque measurement, a mechanical friction brak e (dynamometer) was developed to compare the measurements obtained for a miniature electric motor of known characteristics. The results from this series of calibration experiments were then used to evaluate the performance of a microturbine prototype. The dynamometer torque measu rements were found to closely agree with the manufacture's stated stal l torque for the miniature motor of 1.8 x 10(-4) N m. The viscous brak e torque measurements were found to underestimate the motor torque by around 20% with slight variation related to the angular velocity of th e shaft. Shaft torque measurements for the prototype microturbine were possible using the viscous brake but not the dynamometer. It was felt that 10(-5) N m represented the lower limit for the dynamometer torqu e measurement while the viscous brake could address torques down to 10 (-8) N m. The fluid brake produced measurements of torque in the range of 10(-7) N m for the microturbine. At this level only an order of ma gnitude accuracy is claimed because of some uncertainties with the flu id model used for the viscous brake torque calculation. The shaft torq ue range for the viscous brake was from 10(-4) N m down to 10(-8) N m; this might be extended by optimizing the fluid model.