The commonly used electromagnetic flow meters with circular cross-section sensors play a crucial role in flow measurement and trade settlement. However, due to some on-site limitations under practical conditions, they...
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In this article an integrated fully differential current amplifier is presented. It was designed for inductive sensor excitation, in this case for a fluxgate sensor, however the concept is applicable wherever a low no...
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This study presents the piezoelectric and piezoresistive properties of a multilayer composite system consisting of PDMS-CNT and PDMS-BTO layers designed for dynamic and static sensing applications. The carbon nanotube...
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ISBN:
(数字)9798331542726
ISBN:
(纸本)9798331542733
This study presents the piezoelectric and piezoresistive properties of a multilayer composite system consisting of PDMS-CNT and PDMS-BTO layers designed for dynamic and static sensing applications. The carbon nanotube (CNT) piezoresistive layer enhances the electrical conductivity and mechanical response of the composite, while the barium titanate (BTO) piezoelectric layer provides high dielectric performance and efficient voltage generation. This unique combination exploits the complementary properties of each layer to achieve a synergistic effect that surpasses traditional single-material systems. The 15% BTO-0.3% CNT configuration demonstrated optimal performance, delivering a voltage output of 2.1 V, a power density of 1.41 µW/m 3 , and a noticeable change in impedance under mechanical stress. The results highlight the dual sensing capabilities of the composite, its mechanical robustness and its potential for energy harvesting, pressure sensing and structural health monitoring. This work highlights the potential of CNT-BTO composites as a platform for advancing next-generation sensing and energy systems, balancing innovation with practicality in multifunctional material design.
Designing an efficient Inductive Power Transfer (IPT) system involves significant challenges. On the transmitter side, it is essential to provide the transmitter coil with an alternating current (AC) operating within ...
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Measuring the frequency-dependent material properties of soft tissues is a challenging task, but it is crucial to understanding their function. This work presents a novel setup that combines optical coherence tomograp...
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The road temperature is used as an indicator for the winter maintenance service. Consequently, it should be determinated within a known measurement uncertainty. Investigations in road weather stations revealed inconsi...
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This paper presents traceable measurements of bending stiffness for standard optical SMF-28 fiber. Stiffness values were derived from force-displacement measurements, performed in a setup specifically designed for the...
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In this contribution we propose the incorporation of a diode laser stabilized to an ultrastable cavity (ORS) as a metrology laser within the interferometric length measurement system of a nanopositioning and -measurin...
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For well-magnified imaging systems that satisfy the Nyquist criterion, camera pixels resolve the fine details provided by the objective lens. However, the mismatch in a space-bandwidth product (SBP) between the object...
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Photonic integrated circuits play a pivotal role in high-speed telecommunications and sensing, yet minimizing optical losses in scalable fabrication remains a persistent challenge. This study focuses on silicon nitrid...
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Photonic integrated circuits play a pivotal role in high-speed telecommunications and sensing, yet minimizing optical losses in scalable fabrication remains a persistent challenge. This study focuses on silicon nitride waveguides and applies a full-factorial design of experiments combined with regression trees to identify the layer-specific origins of propagation and bend excess losses. Regression tree modeling revealed that waveguide width is the dominant predictor of propagation loss, followed by material composition—particularly the upper cladding at lower widths and the waveguide core material at higher widths—highlighting the confinement-dependent interplay of scattering and absorption. Bend excess loss analysis indicated a shift in dominant predictors from bend radius and width to waveguide material at smaller radii. Although these dependencies have been previously established through physical modeling and experimental studies, most prior work covers smaller datasets or relies on idealized fabrication assumptions. The results of this work establish a statistically grounded and interpretable framework for waveguide loss analysis and underscore classification and regression trees’ utility in photonic process optimization. Our approach complements existing physical frameworks by providing a statistically grounded, data-driven method to optimize SiN photonic platforms, offering predictive insight into complex layer—geometry interactions and fabrication-induced variations that are difficult to model physically. By enabling predictive insight into layer—geometry interactions, this approach paves the way for more robust photonic integrated-circuit design in sensing and next-generation optical *** by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License . Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
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