A semi-active damper may be viewed as a system with two inputs (suspension deflection and damping request) and one output (damping force).
Using the experimental strain measurements as input data, the deflection field of the plate is reconstructed using the three aforementioned approaches and compared with the actual measured deflection.
Using a customized experimental setup, the sinusoidal response of the device is measured with the overall sinusoidal load as the input and the sinusoidal deflection of the device as the output.
At high stimulation frequencies relative to this time scale, successive synaptic inputs evoked by deflections in different directions are not isolated in time, but summed together by the postsynaptic membrane.
A Monte Carlo simulation, incorporating the statistical parameters of material properties as input, was applied to serviceability deflection predictions.
The dispensed volume corresponds to amount of input energy induced by membrane deflection, but the velocity of droplets increased with the magnitude of positive pressure.
The model was used to study the effect of the electrode area on the overall plate deflection per unit input voltage such that the electromechanical coupling is optimized.
These functions are then reformulated in terms of transmissibility functions with respect to a single input using a novel modal deflection chain technique in order to accommodate system-level operating response data in the absence of input measurements.
The optical nature of the reflector sight meant it was possible to feed other information into field of view, such as modifications of the aiming point due to deflection determined by input from a gyroscope.
