• 제목/요약/키워드: flow induction machine

검색결과 13건 처리시간 0.018초

3차원 유한요소법을 이용한 농형유도전동기 단락환의 저항계산 (Calculation of Resistance of Squirrel Cage Induction Motor End Ring using 3-D Finite Element Method)

  • 박민우;이복용;이기석
    • 한국조명전기설비학회지:조명전기설비
    • /
    • 제10권2호
    • /
    • pp.71-77
    • /
    • 1996
  • 본 논문에선 3차원 유한요소법을 이용한 농형유도전동기 단락환의 등가저항계산법에 대하여 연구하였다. 농형유도전동기의 단락환은 회전자 봉도체의 유도 전류 폐로를 형성케하는 역할을 하게 된다. 폐로 형성시 단락환의 표피효과로 인하여 적은 단면적으로 전류가 흐르게 되어 저항이 커진다. 본 논문에선 자기벡터포텐셜 A 과 전기스칼라포텐셜 $\Phi$에 의한 3차원 유한요소법을 이용하여 회전자에서 발생하는 주울손실로부터 저항을 계산하였다.

  • PDF

Optimization of VIGA Process Parameters for Power Characteristics of Fe-Si-Al-P Soft Magnetic Alloy using Machine Learning

  • Sung-Min, Kim;Eun-Ji, Cha;Do-Hun, Kwon;Sung-Uk, Hong;Yeon-Joo, Lee;Seok-Jae, Lee;Kee-Ahn, Lee;Hwi-Jun, Kim
    • 한국분말재료학회지
    • /
    • 제29권6호
    • /
    • pp.459-467
    • /
    • 2022
  • Soft magnetic powder materials are used throughout industries such as motors and power converters. When manufacturing Fe-based soft magnetic composites, the size and shape of the soft magnetic powder and the microstructure in the powder are closely related to the magnetic properties. In this study, Fe-Si-Al-P alloy powders were manufactured using various manufacturing process parameter sets, and the process parameters of the vacuum induction melt gas atomization process were set as melt temperature, atomization gas pressure, and gas flow rate. Process variable data that records are converted into 6 types of data for each powder recovery section. Process variable data that recorded minute changes were converted into 6 types of data and used as input variables. As output variables, a total of 6 types were designated by measuring the particle size, flowability, apparent density, and sphericity of the manufactured powders according to the process variable conditions. The sensitivity of the input and output variables was analyzed through the Pearson correlation coefficient, and a total of 6 powder characteristics were analyzed by artificial neural network model. The prediction results were compared with the results through linear regression analysis and response surface methodology, respectively.

Optimum Hydraulic Oil Viscosity Based on Slipper Model Simulation for Swashplate Axial Piston Pumps/Motors

  • Kazama, Toshiharu
    • 드라이브 ㆍ 컨트롤
    • /
    • 제18권4호
    • /
    • pp.84-90
    • /
    • 2021
  • Viscosity of hydraulic oils decreases due to loss reduction and efficiency increase of fluid power systems. However, low viscosity is not always appropriate due to the induction of large leakage and small lubricity. Therefore, a detailed study on the optimum viscosity of hydraulic oils is necessary. In this study, based on the thermohydrodynamic lubrication theory, numerical simulation was conducted using the slipper model of swashplate-type axial piston pumps and motors. The viscosity grades' (VG) effects of oils on power losses are mainly discussed numerically in fluid film lubrication, including changes in temperature and viscosity. The simulation results reveal that the flow rate increases and the friction torque decreases as VG decreases. The film temperature and power loss were minimised for a specific oil with a VG. The minimum conditions regarding the temperature and loss were different and closed. Under various operating conditions, the film temperature and power loss were minimised, suggesting that an optimum hydraulic oil with a specific VG could be selected for given operating conditions of pressure and speed. Otherwise, a preferable operating condition must be established to determine a specific VG oil.