Application of Magnetoelastic Effect of Ferromagnetic Material in Stress Measurement

2012 ◽  
Vol 496 ◽  
pp. 306-309 ◽  
Author(s):  
Yan Ping Shi ◽  
Shu Hua Fan
Keyword(s):  
Mathematical Model ◽  
Stress Measurement ◽  
Ferromagnetic Material ◽  
Induced Voltage ◽  
Practical Application ◽  
Magnetic Pole ◽  
Magnetoelastic Effect ◽  
Voltage Output ◽  
Contact Sensor ◽  
Test Result

A new non-contact sensor with three magnetic pole based on magnetoelastic effect was designed, and its operation principle and mathematical model of induced voltage output were given. The output characteristic of the sensor affected by field current intensity, frequency, and the gap between the probe of the sensor and the surface of the material tested was analyzed by testing. The calculation result based on the output model found by the paper accord basically with the test result. The results of the test have showed that the measuring precision and sensitivity of the sensor can meet the demands of the general practical application.

A Real-Time Mathematical Model for Three-Dimensional Tidal Flow and Water Quality

1991 ◽  
Vol 24 (6) ◽  
pp. 171-177 ◽  
Author(s):  
Zeng Fantang ◽  
Xu Zhencheng ◽  
Chen Xiancheng
Keyword(s):  
Mathematical Model ◽  
Water Quality ◽  
Real Time ◽  
Control Volume ◽  
Tidal Flow ◽  
Three Dimensional ◽  
River Estuary ◽  
Pearl River Estuary ◽  
Practical Application ◽  
The Pearl River

A real-time mathematical model for three-dimensional tidal flow and water quality is presented in this paper. A control-volume-based difference method and a “power interpolation distribution” advocated by Patankar (1984) have been employed, and a concept of “separating the top-layer water” has been developed to solve the movable boundary problem. The model is unconditionally stable and convergent. Practical application of the model is illustrated by an example for the Pearl River Estuary.

scholarly journals A flexible In-Plane p-n heterojunction nano-generator with phonon-enhanced Photothermoelectric Effect to harvest solar energy

2021 ◽  
Author(s):  
HeWu Zhou ◽  
Panmeng Meng ◽  
Yang LIn ◽  
Zihao Chen ◽  
Yanjie Zhao ◽  
...  
Keyword(s):  
Solar Energy ◽  
Power Source ◽  
Infrared Light ◽  
Induced Voltage ◽  
Voltage Output

Photothermoelectric (PTE) devices show a promising prospect for realizing photo-induced voltage output using infrared light, which can meet the crucial requirement for photo detector and power source. However, limited utilization...

scholarly journals Magneto-optical design of anomalous Nernst thermopile

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jian Wang ◽  
Asuka Miura ◽  
Rajkumar Modak ◽  
Yukiko K. Takahashi ◽  
Ken-ichi Uchida
Keyword(s):  
Optical Design ◽  
Polarized Light ◽  
Ferromagnetic Material ◽  
Light Polarization ◽  
Optical Recording ◽  
Induced Voltage ◽  
Large Area ◽  
Circularly Polarized Light ◽  
Out Of Plane ◽  
Order Of Magnitude

AbstractThe introduction of spin caloritronics into thermoelectric conversion has paved a new path for versatile energy harvesting and heat sensing technologies. In particular, thermoelectric generation based on the anomalous Nernst effect (ANE) is an appealing approach as it shows considerable potential to realize efficient, large-area, and flexible use of heat energy. To make ANE applications viable, not only the improvement of thermoelectric performance but also the simplification of device structures is essential. Here, we demonstrate the construction of an anomalous Nernst thermopile with a substantially enhanced thermoelectric output and simple structure comprising a single ferromagnetic material. These improvements are achieved by combining the ANE with the magneto-optical recording technique called all-optical helicity-dependent switching of magnetization. Our thermopile consists only of Co/Pt multilayer wires arranged in a zigzag configuration, which simplifies microfabrication processes. When the out-of-plane magnetization of the neighboring wires is reversed alternately by local illumination with circularly polarized light, the ANE-induced voltage in the thermopile shows an order of magnitude enhancement, confirming the concept of a magneto-optically designed anomalous Nernst thermopile. The sign of the enhanced ANE-induced voltage can be controlled reversibly by changing the light polarization. The engineering concept demonstrated here promotes effective utilization of the characteristics of the ANE and will contribute to realizing its thermoelectric applications.

An Efficient Approach to Define the Input Stimuli to Suppress Epileptic Seizures Described by the Epileptor Model

2020 ◽  
Vol 30 (11) ◽  
pp. 2050062
Author(s):  
João Angelo Ferres Brogin ◽  
Jean Faber ◽  
Douglas Domingues Bueno
Keyword(s):  
Nonlinear Dynamics ◽  
Mathematical Model ◽  
Exact Solution ◽  
Feedback Control ◽  
Epileptic Seizures ◽  
Neural Dynamics ◽  
Practical Application ◽  
Control Gain ◽  
The World ◽  
The Mathematical Model

Epilepsy affects about 70 million people in the world. Every year, approximately 2.4 million people are diagnosed with epilepsy, two-thirds of them will not know the etiology of their disease, and 1% of these individuals will decease as a consequence of it. Due to the inherent complexity of predicting and explaining it, the mathematical model Epileptor was recently developed to reproduce seizure-like events, also providing insights to improve the understanding of the neural dynamics in the interictal and ictal periods, although the physics behind each parameter and variable of the model is not fully established in the literature. This paper introduces an approach to design a feedback-based controller for suppressing epileptic seizures described by Epileptor. Our work establishes how the nonlinear dynamics of this disorder can be written in terms of a combination of linear sub-models employing an exact solution. Additionally, we show how a feedback control gain can be computed to suppress seizures, as well as how specific shapes applied as input stimuli for this purpose can be obtained. The practical application of the approach is discussed and the results show that the proposed technique is promising for developing controllers in this field.

Research on a New Stress Sensor Based on the Amorphous Alloy

2012 ◽  
Vol 241-244 ◽  
pp. 988-992
Author(s):  
Cheng Wen Liu
Keyword(s):  
Mathematical Model ◽  
Amorphous Alloy ◽  
Stress Measurement ◽  
Linear Regression Analysis ◽  
Testing System ◽  
Multivariate Linear Regression Analysis ◽  
Soft Magnetic ◽  
Alloy Material ◽  
Working Principle ◽  
The Mathematical Model

Amorphous alloy material has good soft magnetic properties, so it can be used for stress measurement. At first, the working principle of the stress measurement was analyzed. Secondly its output characteristic mathematical model was established by adopting multivariate linear regression analysis method, and the simulation of the mathematical model was made based on Matlab. Finally a practice measurement with Fe-base TM—M Amorphous alloy was completed. The results of the test have showed that the stress measurement method has some characteristics of being sensitiveness to measure and simple to make a testing system, and a promising method of measuring stress.

Yarn Feeding Compensation Algorithm and Implementation for Needbar Transverse Shifting of Carpet Tufting Machine

2011 ◽  
Vol 179-180 ◽  
pp. 150-155 ◽  
Author(s):  
Guang Feng Chen ◽  
Wei Bin Wang ◽  
Hao Chun Sun ◽  
Qing Qing Li
Keyword(s):  
Mathematical Model ◽  
Dynamic Control ◽  
Length Change ◽  
Compensation Scheme ◽  
Compensation Algorithm ◽  
Result Show ◽  
Carpet Tufting Machine ◽  
Control Principle ◽  
The Mathematical Model ◽  
Test Result

The needle bar transverse shifting will likely form the stop mark liked gap on the tufted carpet. This paper proposed the yarn feeding compensation scheme and illustrate implement method in detail. Through analysis the change in yarn feeding path and loop pile forming of carpet tufting machine, construct the mathematical model of length change of yarn feeding in path and usage of loop pile forming while needle bar shifting. According to the mathematical model for yarn feeding compensation, calculate the additional yarn feeding requirement. Base on jacquard control principle, dynamic control the yarn feed actuator to drive the yarn feed roller to delivery additional length yarn, and produce loop pile with predefined pile height, Test result show the compensation is feasible.

scholarly journals Modeling and Optimization of Bidirectional Clamping Forces in Drilling of Stacked Aluminum Alloy Plates

Materials ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 2866
Author(s):  
Jintong Liu ◽  
Anan Zhao ◽  
Piao Wan ◽  
Huiyue Dong ◽  
Yunbo Bi
Keyword(s):  
Mathematical Model ◽  
Finite Element ◽  
Aluminum Alloy ◽  
Clamping Force ◽  
Practical Application ◽  
Element Simulation ◽  
Theory Of Plates ◽  
Plates And Shells ◽  
The Mathematical Model ◽  
The Relationship

Interlayer burrs formation during drilling of stacked plates is a common problem in the field of aircraft assembly. Burrs elimination requires extra deburring operations which is time-consuming and costly. An effective way to inhibit interlayer burrs is to reduce the interlayer gap by preloading clamping force. In this paper, based on the theory of plates and shells, a mathematical model of interlayer gap with bidirectional clamping forces was established. The relationship between the upper and lower clamping forces was investigated when the interlayer gap reaches zero. The optimization of the bidirectional clamping forces was performed to reduce the degree and non-uniformity of the deflections of the stacked plates. Then, the finite element simulation was conducted to verify the mathematical model. Finally, drilling experiments were carried out on 2024-T3 aluminum alloy stacked plates based on the dual-machine-based automatic drilling and riveting system. The experimental results show that the optimized bidirectional clamping forces can significantly reduce the burr heights. The work in this paper enables us to understand the effect of bidirectional clamping forces on the interlayer gap and paves the way for the practical application.

Study on Duration of Hydrostatic Leak Test for Gas Pipeline

2008 ◽  
Author(s):  
Feng Yan ◽  
Yongxue Zhang ◽  
Hong Zhang ◽  
Qingquan Duan
Keyword(s):  
Mathematical Model ◽  
Temperature Variation ◽  
Water Pressure ◽  
Gas Pipeline ◽  
Hot Water ◽  
Leak Test ◽  
First Time ◽  
Water Pressure Testing ◽  
Residual Air ◽  
Test Result

A mathematical model about the duration of hydrostatic leak test for gas pipeline is developed for the first time in the paper. The influences of temperature variation, elastic deformation of the pipe and a certain amount of residual air filled within the pipe are synthetically considered in the model. The results indicate that the duration is longer while the amount of the residual air in the pipe or the volume of pipe is lager under the same pressure dropping. The required duration is increasing with the pressure going up. At the same time, the temperature variation greatly influences the pressure dropping of the pipeline. The conclusions are helpful for determining the reasonable duration of hydrostatic leak test for gas pipeline. Furthermore, it can also provide some references for judging leak test result while hot water pressure testing in winter.

Towards practical application of sensors for monitoring animal health; design and validation of a model to detect ketosis

2017 ◽  
Vol 84 (2) ◽  
pp. 139-145 ◽  
Author(s):  
Machteld Steensels ◽  
Ephraim Maltz ◽  
Claudia Bahr ◽  
Daniel Berckmans ◽  
Aharon Antler ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Dairy Cows ◽  
Model Validation ◽  
Model Calibration ◽  
Animal Health ◽  
Selection Effect ◽  
Dairy Farms ◽  
Future Research ◽  
Practical Application ◽  
Explanatory Variables

The objective of this study was to design and validate a mathematical model to detect post-calving ketosis. The validation was conducted in four commercial dairy farms in Israel, on a total of 706 multiparous Holstein dairy cows: 203 cows clinically diagnosed with ketosis and 503 healthy cows. A logistic binary regression model was developed, where the dependent variable is categorical (healthy/diseased) and a set of explanatory variables were measured with existing commercial sensors: rumination duration, activity and milk yield of each individual cow. In a first validation step (within-farm), the model was calibrated on the database of each farm separately. Two thirds of the sick cows and an equal number of healthy cows were randomly selected for model validation. The remaining one third of the cows, which did not participate in the model validation, were used for model calibration. In order to overcome the random selection effect, this procedure was repeated 100 times. In a second (between-farms) validation step, the model was calibrated on one farm and validated on another farm. Within-farm accuracy, ranging from 74 to 79%, was higher than between-farm accuracy, ranging from 49 to 72%, in all farms. The within-farm sensitivities ranged from 78 to 90%, and specificities ranged from 71 to 74%. The between-farms sensitivities ranged from 65 to 95%. The developed model can be improved in future research, by employing other variables that can be added; or by exploring other models to achieve greater sensitivity and specificity.

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