2021
DOI: 10.1007/s12541-021-00612-z
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The Modelling and Design of a Linear Variable Differential Transformer

Abstract: In the design and improvement of an LVDT, theoretical analysis or numerical analysis can facilitate optimal design for the sensor performance by effectively and quickly predicting the measurement range and the sensitivity with the changes of design and process variables. In this study, analysis models of the LVDT were proposed through theoretical analysis and the finite element method (FEM), and the effects of design and process variables on the sensitivity and linear region of the LVDT according to the core m… Show more

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Cited by 6 publications
(2 citation statements)
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“…The measuring instrument comprises two LMP sensors on the left and right sides. The LMP shaft is connected to a roller bearing arm attached to the rail road by a slider mechanism [8]. The roller bearing arm is also connected to a tensile spring, which ensures that this arm is always pushed outside the rail road.…”
Section: Principle Mechanismmentioning
confidence: 99%
“…The measuring instrument comprises two LMP sensors on the left and right sides. The LMP shaft is connected to a roller bearing arm attached to the rail road by a slider mechanism [8]. The roller bearing arm is also connected to a tensile spring, which ensures that this arm is always pushed outside the rail road.…”
Section: Principle Mechanismmentioning
confidence: 99%
“…LVDTs can suffer from issues like drift, reduced sensitivity, and limited resolution with prolonged use, necessitating regular calibration and maintenance. This requirement can escalate operational costs and system complexity, potentially rendering them unsuitable for applications demanding high precision and sensitivity [ 13 ]. Additionally, in the realm of wearable rehabilitation devices, resistive, capacitive, and piezoelectric sensors are predominantly utilized to measure physiological parameters, recognize gestures, monitor motion, and offer functionalities for data acquisition and user interaction.…”
Section: Introductionmentioning
confidence: 99%