The work proposes a novel model that describes the combined electrical and thermal interaction that exists between two elements that share the same suspended thermal reservoir. The model predicts the change in the electrical properties that the target element experiences when the source element heats up due to an applied electric power. The current convention is to assume the interaction as ideal, but we have shown that thermal losses exist that our model accounts for.

Vibrations in the manufacturing process are usually undesirable. However, vibrations in the ultrasonic range can be used to enhance process variables such as forces, wear or the machined surface. Thus far, it has not been possible to detect vibrations close to the process. This prevents a stable setting of vibration parameters. By measuring strains in the tool, conclusions about the shape and magnitude of vibrations could be drawn, enabling process-oriented measurements during turning.

The paper deals with the proposal of a new obstruction flowmeter (cone type) characterized by an improved geometry. Compared with a standard geometry cone flowmeter, the proposed one ensures better performance in terms of a higher discharge coefficient and less permanent pressure drops. Additionally, several experimental tests and numerical simulations have been performed to compare the overall performance granted by both flowmeters, endorsing the superiority of the proposed solution.

To fulfil today's requirements, gas sensors have to become more and more sensitive and selective. In this work, we present a novel method to significantly enhance the effect of gate bias on the response of a SiC field-effect transistor by placing a lithium-doped tungsten oxide film beneath the gate. This enhancement, compared to undoped samples, opens new perspectives for static and transient signal generation, e.g. gate bias-cycled operation, and, thus, increasing sensitivity and selectivity.

When using pressure gauges in industry the uncertainty contribution due to the calibration should be expanded by the uncertainty contributions due to specific application. There the end user must investigate these sources or other additional influences. In addition, the new challenges in terms of calibration and traceability when applying Smart Sensor Technologies and Digitally Networked Measurement Systems were addressed.