Leong Jenn Hwai
Thumbnail Image
Preferred name
Leong Jenn Hwai
Official Name
Jenn, Hwai Leong
Alternative Name
Leong, Jenn Hwai
Hwai, L. J.
Leong, J. H.
Hwai, Leong Jenn
Hwai Leong, Jenn
Main Affiliation
Scopus Author ID
56572199100
Researcher ID
CUO-1132-2022

Research Output

Filters

3 1 1
3
3
3
Reset filters

Settings
Now showing 1 - 3 of 3
  • Publication
    Optimal Design of SMPMSM Using SD-model based on Genetic Algorithm
    ( 2021-01-01)
    Syauqina Akmar Mohd-Shafri
    ;
    Tiang Tow Leong
    ;
    Tan C.J.
    ;
    Ishak D.
    ;
    Mohd Saufi Ahmad
    ;
    Leong Jenn Hwai , Jenn
    ;
    Ong Hui Lin
    This paper deals with an optimal design of a surface-mounted permanent magnet synchronous machine (SMPMSM) with an exact analytical subdomain model by using a genetic algorithm method. To analyze the characteristic of permanent magnet (PM) motors, the classical optimization method, such as the finite element method (FEM), is intensively used. However, FEM has several time problems that require a longer computational time to evaluate the performance of PM motors. This problem can be overcome by using a genetic algorithm (GA) method combined with a subdomain model (SD), which developed an improved performance of SMPMSM, for instance, total harmonic distortion (THDv) and cogging torque. In this design, a three-phase 12-slot/8-pole PM motor is established with an exact SD model with RM and PaM magnetization patterns. Then, the GA ensemble with SD model to search the optimality of SMPMSM machine design. In the final analysis, the optimal new design of SMPMSM demonstrated by comparing with the initial design that is investigated by FEM. The result of induced back-EMF, cogging torque, total harmonic distortion, and magnetic flux density of optimal design is compared with the initial design to show the advantages of GA optimization method.
      1  36
  • Publication
    Investigation the optimum performance of the surface-mounted PMSM under different magnetization patterns
    ( 2020-01-07)
    Akmar Mohd-Shafri, Syauqina
    ;
    Tiang Tow Leong
    ;
    Ishak D.
    ;
    Leong Jenn Hwai , Jenn
    ;
    Jun Tan C.
    ;
    Ong Hui Lin
    This paper investigates the influence of different magnetization patterns on the performances of the surface-mounted permanent magnet synchronous machines (SMPMSMs). Three magnetization patterns are employed, which are radial, parallel, and ideal Halbach magnetizations. These magnetization patterns are applied to 9-slot/10-pole and 15-slot/4-pole permanent magnet (PM) machines. The PM machines are designed and simulated by using Opera 2D finite element. The performances of three PM motors, such as airgap flux density, phase back-EMF, and cogging torque, are evaluated under the influence of different magnetization patterns. The total harmonic distortion of phase back-EMF (THDv) for the motors are investigated. The PM motors with ideal Halbach magnetization provide the lowest cogging torque and the lowest total harmonic distortion of phase back-EMF. Besides that, the optimum setting of the magnet pole-arc can reduce the total harmonic distortion of phase back-EMF and achieve lower cogging torque. The optimum magnet pole-arc produced by radial magnetization in 9-slot/10-pole motor is 24.8 mech., with cogging torque of 0.45 Nm, and THDv of 2.69 %. Meanwhile, the optimum magnet pole-arc produced by parallel magnetization in 9-slot/10-pole motor is 26.0 mech., with cogging torque of 0.41 Nm, and THDv of 2.00 %.
      12  40
  • Publication
    The Influenced of Different Magnetization Patterns on the Performance of the Semi-buried Permanent Magnet Synchronous Machine
    ( 2021-06-11)
    Syauqina Akmar Mohd-Shafri
    ;
    Muhamad Haniff Sani
    ;
    Tiang Tow Leong
    ;
    Ishak D.
    ;
    Mohd Saufi Ahmad
    ;
    Leong Jenn Hwai , Jenn
    ;
    Tan C.J.
    ;
    Ong Hui Lin
    The performance of semi-buried permanent magnet synchronous machines (SBPMSMs) by the influence of two magnetization patterns are presented in this paper. These magnetization patterns include radial and parallel, which applied into 9-slot/8-pole (9s/8p) and 6-slot/4-pole (6s/4p) SBPMSMs. Hence, to evaluate the machines performance, AutoCAD and Opera2D finite element software are used to model and predict the electromagnetic characteristic performance of SBPMSMs. Two PM machines are optimized i.e. flux density distribution, phase back-EMF, and cogging torque by two magnetization patterns. The phase back-EMF of the machines are computed into harmonic components to investigate the total harmonic distortion (THDv ). It is found that the lowest THDv for both 9s/8p and 6s/4p motors are in parallel magnetization (PaM), which are 8.66% and 3.98%, respectively. However, the lowest cogging torque for 9s/8p is radial magnetization (RaM), which is 0.0101 Nm and for 6s/4p is 0.1730 Nm with parallel magnetization pattern. By comparing the result of the optimum magnet pole arc for both motors, the 6s/4p motors show the minimum cogging torque and harmonic distortions are 0.16 Nm and 1.63% in PaM patterns. As a result, optimum motor performances among these two motors are 6s/4p PM motors with PaM pattern.
      1  30