scholarly journals Induction of the Field at Different Distances from the Permanent Magnet and Between Opposing Magnets. Testing of the Superposition Principle

2019 ◽  
Vol 8 (9S3) ◽  
pp. 77-80
Keyword(s):  
Permanent Magnet ◽  
Exponential Function ◽  
Superposition Principle ◽  
Measurement Data ◽  
Central Area ◽  
Entire Area ◽  
Field Induction ◽  
Coordinate Dependence

The measurement data of the field induction at different distances from the permanent magnet Nd-Fe-B and between two equivalent magnets on distance are presented. It is shown that the obtained coordinate dependences are described by exponential function, but for a system of two magnets –only partially: up to the central area of the system and make 20-30% of the entire area between opposing magnets. Using the example of the coordinate dependence of induction for one of two identical magnets, it is shown that the use of the superposition principle makes it possible to obtain a coordinate dependence of induction between opposing magnets, which is equivalent to experimental one.

scholarly journals Particulate matter concentrations during winter seasons of 2016-2020 in Ulaanbaatar, Mongolia

2021 ◽  
pp. 30-39
Author(s):  
Ganzorig Byambajav ◽  
Bayarmaa Batbaatar ◽  
Ariundelger Ariunsaikhan ◽  
Sonomdagva Chonokhuu
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Single Point ◽  
Fine Particulate Matter ◽  
Measurement Data ◽  
Central Area ◽  
National Standards ◽  
Fine Particulate ◽  
The Government ◽  
Pm2.5 Concentration

In this study, we have focused on the outdoor concentration of fine particulate matter (PM2.5) during the coldest months (November-February) of 2016-2019 and January-February of 2020 and illustrated the daily, monthly and quarterly averages according to the single-point measurement data collected by the PM2.5 sensor at an air quality monitoring station located in a central area of Ulaanbaatar. The study also analyzes monthly high, low, average and median points of PM2.5 concentrations in the area that was selected. The PM2.5 sensor collects its data at an interval of every ten seconds, registers 8500 data in one day and presents the concentration of fine particulate matter in micrograms per cubic meter (μg/m3). On the basis of data collection and analysis, from November through February of 2019-2020, average PM2.5 concentration dropped noticeably by 44 per cent compared to the previous years. The Government of Mongolia took immediate action to combat air pollution of Ulaanbaatar city in May 2019 by banning the burning of raw coal in the ger districts, which account for 70 per cent of the city’s emissions, and introduced coal briquette as the only type of fuel that was allowed to be burned in metal stoves as a primary source of heating and cooking. Our study reveals that the latest government regulation had a considerable impact on air quality during winter 2019-2020 and helped in the sudden decline of the most dangerous pollutant PM2.5 concentration very close to national standards (50 µg/m3 24-hour mean) within 6 months since the enforcement of the new regulation.

Impacts of Storm Surges on Hydrodynamics and Salinity of Sabine Lake and Sabine River Diversion Canal

2019 ◽  
Author(s):  
Hairui Wang ◽  
Ning Zhang
Keyword(s):  
Storm Surge ◽  
Transport Model ◽  
Measurement Data ◽  
Storm Surges ◽  
River Diversion ◽  
Daily Production ◽  
Entire Area ◽  
Salinity Transport ◽  
Sabine Lake ◽  
Sabine River

Abstract In this study, a hydrodynamic and salinity transport model was developed for simulations of Sabine Lake water system located on the Texas-Louisiana border. The target simulation area ranges from Sabine River near Deweyville, TX as the north boundary to the Gulf of Mexico as the south boundary, and from Neches River near Beaumont, TX as the west boundary to part of Gulf Intracoastal Waterway (GIWW) and Sabine River Diversion Canal (SRDC) as the east boundary. The entire area includes several major water bodies, such as Sabine Lake, Sabine River, Sabine Pass, Sabine Neches Canal (Ship Channel), and part of GIWW and SRDC. The SRDC supplies fresh water to the area industry, mainly petrochemical. High salinity in SRDC could significantly affect the daily production of the industry. The major purposes of this study is to use the validated hydrodynamic and salinity transport model to assess and predict the salinity in SRDC under severe weather conditions such as hurricane storm surges. Measurement data from NOAA and USGS were used to calibrate the boundary conditions as well as to validate the model. Two different levels of storm surges each lasting for 24 hours were simulated, 0.5 and 1 meter, respectively, and the salinity in SRDC was monitored and compared to analyze the storm surge threats on SDRC water quality. The result shows that it took about 2 days for the salinity reaching SRDC under the 1m storm surge condition and about 3 days under 0.5m surge condition and the salinity value could reach as high as 5 to 10 ppt.

Driving System Design of Lifting Permanent Magnet

2013 ◽  
Vol 765-767 ◽  
pp. 125-128 ◽  
Author(s):  
Ning Ding ◽  
Ding Tong Zhang ◽  
Yu Mei Song ◽  
Jian Shi ◽  
Li Gong Ding
Keyword(s):  
Magnetic Field ◽  
System Design ◽  
Permanent Magnet ◽  
Permanent Magnets ◽  
Superposition Principle ◽  
Drive System ◽  
Driving System ◽  
The Magnetic Field

Based on our proposed superposition principle of the magnetic field, the drive system of parallel moving type and rotation moving type lifting permanent magnet were designed. Industry prototypes were manufactured, respectively, and they verify that the designed lifting permanent magnets are feasible.

scholarly journals Parameter identification of permanent magnet synchronous AC motor based on spectral method

2021 ◽  
Vol 2091 (1) ◽  
pp. 012007
Author(s):  
Yuhao Cong ◽  
Qingjiao Ji ◽  
Guang-Da Hu
Keyword(s):  
Parameter Identification ◽  
Permanent Magnet ◽  
Spectral Method ◽  
Measurement Data ◽  
Angular Speed ◽  
State Variables ◽  
Motor Speed ◽  
Multiple Parameters ◽  
Ac Motor ◽  
Relative Errors

Abstract This paper establishes a mathematical model with random terms for a permanent magnet synchronous AC motor, which is a nonlinear system using d - axis current, q - axis current and the rotor electric angular speed as state variables. The numerical solution obtained by the Euler-Maruyama method is used as the measurement data. Aiming at the parameter identification of the system, a step-by-step identification method based on the spectral method discretize the system first and then using the least squares is proposed. This method is used to identify multiple parameters of the motor in the same model. In step-by-step identification, firstly by fixing the motor speed, the system is transformed into a linear system, which is used to estimate the resistance, inductance and flux linkage. After that, the speed is not fixed, for the electrical parameters are known, we can identify damping and inertia by using mechanical equations. Finally, the experimental results show that the relative errors of the parameters identified by the proposed method are smaller, which shows the effectiveness of this method for multi-parameter identification.

scholarly journals Analysis and optimisation of an axial flux permanent magnet coreless motor based on the field model using the superposition principle and genetic algorithm

2016 ◽  
Vol 65 (3) ◽  
pp. 601-611 ◽  
Author(s):  
Rafał M. Wojciechowski
Keyword(s):  
Magnetic Field ◽  
Permanent Magnet ◽  
Field Model ◽  
Superposition Principle ◽  
Electromagnetic Torque ◽  
Axial Flux ◽  
Magnetic Field Simulation ◽  
Field Distributions ◽  
Field Simulation ◽  
The Magnetic Field

Abstract In the paper, methodologies for the magnetic field simulation in an axial flux permanent magnet coreless (AFPMC) motor have been proposed and discussed. Two approaches have been considered and investigated, both based on representing the 3D field distribution by superimposing axisymmetric 2D patterns. The first of studied approaches applies directly to the Biot-Savart law while the second uses a 2D axisymmetric finite element method. The selected results of magnetic field distributions and electromagnetic torque characteristics for the considered AFPMC motor have been presented and compared with results obtained using the commercial FEM package ‘Maxwell’. The elaborated algorithms have been incorporated into the design routines allowing multi-parameter optimisation of the considered motor construction.

Single voxel approach for Lorentz force evaluation

2019 ◽  
Vol 38 (3) ◽  
pp. 943-952 ◽  
Author(s):  
Eva-Maria Dölker ◽  
Bojana Petković ◽  
Reinhard Schmidt ◽  
Marek Ziolkowski ◽  
Hartmut Brauer ◽  
...  
Keyword(s):  
Permanent Magnet ◽  
Lorentz Force ◽  
Evaluation Method ◽  
Superposition Principle ◽  
Simulated Data ◽  
Computation Method ◽  
Forward Solution ◽  
Content Type ◽  
Defect Reconstruction ◽  
Single Voxel

Purpose Lorentz force evaluation is a non-destructive evaluation method for conducting specimens. The movement of a specimen relative to a permanent magnet leads to Lorentz forces that are perturbed in the presence of a defect. This defect response signal (DRS) is used for defect reconstruction. To solve a linear inverse problem for defect reconstruction, an accurate and fast forward computation method is required. As existing forward methods are either too slow or too inaccurate, the purpose of this paper is to propose the single voxel approach (SVA) as a novel method. Design/methodology/approach In SVA, the DRS is computed as a superposition of DRSs from single defect voxels, which are calculated in advance, by applying the boundary element source method. This research uses a setup of an isotropic conducting specimen, a spherical permanent magnet and defects of different shapes at different depths. With the help of simulations, this study compares the SVA to the previously proposed approximate forward solution (AFS) and the extended area approach (EAA) using the normalized root mean square error (NRMSE). Simulated data using the finite element method serve as the reference solution. Findings SVA shows across all simulations NRMSE values <2.5 per cent compared to <8 per cent for EAA and <12 per cent for AFS. Originality/value The superposition principle of SVA allows for the application of linear inverse methods for defect reconstruction while providing sufficient accuracy of the forward method.

scholarly journals Analisis Faktor Teknis dan Non Teknis Keberhasilan Inseminasi Buatan pada Kawasan Sentra Ternak Sapi di Kabupaten Tebo

2019 ◽  
Vol 19 (1) ◽  
pp. 204
Author(s):  
Fachroerrozi Hoesni ◽  
Firmansyah Firmansyah
Keyword(s):  
Beef Cattle ◽  
Path Analysis ◽  
Success Rate ◽  
Artificial Insemination ◽  
Body Condition Score ◽  
Measurement Data ◽  
Central Area ◽  
Ordinal Scale ◽  
Validity And Reliability ◽  
Technical Factors

The success of artificial insemination (IB) in the central area of beef cattle in the Tebo based on technical or non technical indicators are still not satisfactory. To increase the success of the IB to do an analysis of the determinants of the success of the IB in terms of technical factors, as well as non technical factors. The purpose of this research is to analyze the keragaan success rate of IB, and to analyze the effect of technical and non technical factor towards the success of the IB on beef cattle in the central area of Bali cattle in the Tebo. Research methods used in this research is a survey and laboratory techniques, with the withdrawal of sample Cluster Random Sampling that is the central area of beef cattle in the Tebo. The sample size in this study were determined by using the iterati method. Measuring qualitative variables used questionnaire form questions with Scala Likert's Summated Rating's. Validity or kesakhihan research results is determined by measuring instrument which is used i.e. testing the validity of a test (test of validity) and reliability (reliability test of) instruments. The scale of measurement data obtained are ordinal scale that is varied and the ratio. For the ordinal scale of research data done transformation into interval scale using Method of Succesive Interval (MSI). To analyze the effect of the hormone content of inseminator, skills and mineral feed, body condition score and motility of the sperm toward the success rate of artificial insemination in cattle at Tebo Regency in the used path analysis (path analysis).

scholarly journals MECHANICAL RESPONSE ANALYSIS AND TREATMENT MEASURES OF PARTITION WALL OF METRO STATION

2021 ◽  
Vol 30 (1) ◽  
Author(s):  
Jin-long Lai ◽  
Jin-liang Liu ◽  
Jian-yong An ◽  
Hang Jia ◽  
Jia Ma
Keyword(s):  
Finite Element ◽  
Mechanical Response ◽  
Measurement Data ◽  
Central Area ◽  
Horizontal Displacement ◽  
Response Analysis ◽  
Partition Wall ◽  
Metro Station ◽  
Finite Element Software ◽  
Concentration Problem

In the process of metro station construction, the partition wall is usually used to prevent the displacement of the soil behind the wall to ensure the construction platform. This research aims to analyze the response of partition wall to keep the safety of the structure. The time-horizontal displacement and cracks of the partition wall are measured during the process of metro station construction. The finite element software FLAC 3D is used to simulate the response of partition wall, and the reasons of partition wall cracking and displacement are analyzed by finite element simulation and measurement data. The stiffness and self-stability of the partition wall in the station is powerful, the stress concentration appeared on the central area and caused cracks of the partition wall. Reducing the pressure exerted on the partition wall and shifting partial pressure exerted on the partition wall by the construction of the medium plate can solve the tress concentration problem. Through the data analysis of the strengthened partition wall, the reinforcement effect is good, ensuring the safety of the subsequent construction. The causes of partition wall cracking are found during process of metro station construction, and the solution proposed in this paper is effective. Engineers can refer to this paper to analyze the response of partition wall in the construction of similar structures, which can ensure construction safety and reduce construction cost.

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