A differential transformer-based force sensor utilizing a magnetic fluid core

Martin, Joseph V.; Rashidi, Reza

doi:10.1007/s00542-020-04923-5

Cited by 4 publications

(3 citation statements)

References 47 publications

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“…Mutual inductance sensors are sensors that convert non-electrical quantities into the mutual inductance coefficients of inductance. Due to their similar working principles to transformers and the use of differential connection, they are also called differential transformer-type sensors [11]. According to different structural forms, they can be divided into variable gap type, variable area type, and helical coil type, but the most commonly used is the helical coil type [12].…”

Section: Principle and Applicationsmentioning

confidence: 99%

Analysis of the Principle, Facility and State-of-art Applications of Different Types Inductive Sensor

Tang

2023

HSET

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As a matter of fact, different types of inductive sensor are widely used in various aspects. In this case, this study introduces the development history and current status of electromagnetic sensors, as well as the basic principles and future trends of different types of electromagnetic sensors. It provides a detailed introduction to the principles, structures, and measurement specifications of self-inductive sensors, differential air gap self-inductive sensors, mutual inductance sensors, and helical coil mutual inductance electromagnetic sensors. The characteristics and application scenarios of each sensor are analyzed. A comparison of the advantages and disadvantages of various electromagnetic sensors is presented. Furthermore, predictions are made regarding the future research directions and application trends of electromagnetic sensors. This study has gained a good understanding of the basic principles of various electromagnetic sensors and has learned about the selection of electromagnetic sensors for different scenarios, providing guidance for the study of new electromagnetic sensors and their practical applications.

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Section: Principle and Applicationsmentioning

confidence: 99%

Analysis of the Principle, Facility and State-of-art Applications of Different Types Inductive Sensor

Tang

2023

HSET

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“…As an example, an engine can drive the generator of an alternator, producing electricity required in a car. Various devices that use magnetic concepts have been demonstrated by this group [ 31 , 36 , 51 , 52 , 53 , 54 , 55 , 56 ].…”

Section: Introductionmentioning

confidence: 99%

Multi-Directional Universal Energy Harvesting Ball

Hall,

Rashidi

2021

Micromachines

Self Cite

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This paper discusses the development of a multi-directional, universal, electromagnetic energy harvester. The device is a ball consisting of two parts: a rigid spherical core with internal tubes, coils and magnets, and a flexible silicone-based shell holding a carrier fluid. The multi-directional aspect of the design comes from the device’s spherical shape. The harvester generates energy when subject to compressive force, by moving fluid through a tube, pushing a permanently magnetized ball through a coil wound around the tube. A combination of 3-D printed PLA plastic and molded silicone was used to produce a prototype. The energy harvester can be utilized in applications where there is an oscillating compression and it is not limited to certain applications due to its universal ball shape. It was tested at five different frequencies between 4–15 Hz on its four different outer sides producing electricity at a range of 17 to 44 mV.

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“…Traditional methods for seed vigor evaluation include immunoassay tests [5], polymerase chain reaction tests [6,7], and germination tests [8,9]. However, the above chemical methods or planting methods are expensive, time-consuming, and destructive and generally need many testing instruments.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Sweet Corn Seed Germination Based on Hyperspectral Image Technology and Multivariate Data Regression

Cui

Cheng

et al. 2020

Sensors

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Vigor identification in sweet corn seeds is important for seed germination, crop yield, and quality. In this study, hyperspectral image (HSI) technology integrated with germination tests was applied for feature association analysis and germination performance prediction of sweet corn seeds. In this study, 89 sweet corn seeds (73 for training and the other 16 for testing) were studied and hyperspectral imaging at the spectral range of 400–1000 nm was applied as a nondestructive and accurate technique to identify seed vigor. The root length and seedling length which represent the seed vigor were measured, and principal component regression (PCR), partial least squares (PLS), and kernel principal component regression (KPCR) were used to establish the regression relationship between the hyperspectral feature of seeds and the germination results. Specifically, the relevant characteristic band associated with seed vigor based on the highest correlation coefficient (HCC) was constructed for optimal wavelength selection. The hyperspectral data features were selected by genetic algorithm (GA), successive projections algorithm (SPA), and HCC. The results indicated that the hyperspectral data features obtained based on the HCC method have better prediction results on the seedling length and root length than SPA and GA. By comparing the regression results of KPCR, PCR, and PLS, it can be concluded that the hyperspectral method can predict the root length with a correlation coefficient of 0.7805. The prediction results of different feature selection and regression algorithms for the seedling length were up to 0.6074. The results indicated that, based on hyperspectral technology, the prediction of seedling root length was better than that of seed length.

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A differential transformer-based force sensor utilizing a magnetic fluid core

Cited by 4 publications

References 47 publications

Analysis of the Principle, Facility and State-of-art Applications of Different Types Inductive Sensor

Analysis of the Principle, Facility and State-of-art Applications of Different Types Inductive Sensor

Multi-Directional Universal Energy Harvesting Ball

Prediction of Sweet Corn Seed Germination Based on Hyperspectral Image Technology and Multivariate Data Regression

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