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This paper presents the design, characterization, and experimental evaluation of a wireless capacitive pressure sensor embedded within a rotating workroll of a microrolling machine for monitoring the production of micrometer-scaled texture on thin metallic workpiece. The sensor converts the spatial and temporal variations of pressure across the interface between the roll and workpiece into capacitance values, thereby experimentally establishing a quantitative correlation between the online measurement and the geometric features being formed on the workpiece, in real time. Analytical and numerical models have been developed to guide the design of the sensor to maximize the capacitance output while satisfying the space constraint. A sensitivity matrix linking the measured capacitance with pressure distribution has been established through numerical analysis. Simulation and experiments confirmed the effectiveness of the embedded sensor in enabling intelligent microrolling. [ABSTRACT FROM PUBLISHER]

This paper presents a new sensing method to improve the efficiency of electrical capacitance tomography. Instead of applying one excitation signal to one electrode at a time, the multiple excitation capacitance polling (MECaP) method progressively applies an increasing number of multiple excitations to multiple electrodes and simultaneously measures the capacitance values, thereby significantly increasing the image scanning speed. The performance of a MECaP-based sensor system is numerically simulated and analyzed using the finite element method. Experimental evaluation of the numerical results demonstrates the effectiveness and efficiency of the new sensing technique and its applicability to a broad range of commercial and industrial applications where permittivity determination through capacitance measurement provides an effective means for noninvasive dynamic processes monitoring in an enclosed environment. [ABSTRACT FROM AUTHOR]