The Experts below are selected from a list of 1677 Experts worldwide ranked by ideXlab platform

Chris Gerada - One of the best experts on this subject based on the ideXlab platform.

  • Asymmetrical Flux Density Distribution in Stator Teeth of Surface Permanent Magnet Machines
    2019 IEEE Workshop on Electrical Machines Design Control and Diagnosis (WEMDCD), 2019
    Co-Authors: Giacomo Sala, Daniele De Gaetano, Michele Degano, Chris Gerada
    Abstract:

    This work is showing in detail the flux density behaviour in the Stator Teeth of a synchronous machine. A 3-phase Surface Permanent Magnet (SPM) motor is considered. These motors are widely employed in applications where high efficiency and power densities are required. This paper aims to analytically demonstrate the asymmetrical distribution of the Stator Teeth flux density. It is shown that this phenomena is depending on the number of slots per pole and per phase in the machine. Finally, a comparison with Finite Element results is given to validate the effectiveness of the proposed model.

Yu Wang - One of the best experts on this subject based on the ideXlab platform.

  • Analysis of double-sided sandwiched linear flux-switching permanent-magnet machines with staggered Stator Teeth for urban rail transit
    IET Electrical Systems in Transportation, 2018
    Co-Authors: Wenjuan Hao, Yu Wang
    Abstract:

    Linear flux-switching permanent-magnet (LFSPM) machines exhibit significant potential in many applications. A double-sided sandwiched LFSPM (DSSLFSPM) machine with high thrust force capability is investigated in this study. After being optimised for optimal thrust force using Maxwell 2D, this machine is found to deliver higher thrust force when compared with an optimised conventional 12/14 LFSPM machine. However, low thrust force ripple is also required in many applications. Thus, in order to reduce the thrust force ripple, the DSSLFSPM machine is improved by a staggered Stator Teeth structure and an end permanent-magnets method, then, two improved machines are obtained. The improved machines can reduce the thrust ripple to a very low level without thrust force density decrease. Further, the Stator yoke thickness of the improved machines is optimised to reach optimal thrust force density. Finally, the performance of the DSSLFSPM-ST machines is analysed including the normal force, the efficiency and the power factor. It shows that the improved DSSLFSPM machines exhibit relatively low normal force and high thrust force density as well as low thrust ripples, indicating that they are suitable for long-stroke applications.

Giacomo Sala - One of the best experts on this subject based on the ideXlab platform.

  • Asymmetrical Flux Density Distribution in Stator Teeth of Surface Permanent Magnet Machines
    2019 IEEE Workshop on Electrical Machines Design Control and Diagnosis (WEMDCD), 2019
    Co-Authors: Giacomo Sala, Daniele De Gaetano, Michele Degano, Chris Gerada
    Abstract:

    This work is showing in detail the flux density behaviour in the Stator Teeth of a synchronous machine. A 3-phase Surface Permanent Magnet (SPM) motor is considered. These motors are widely employed in applications where high efficiency and power densities are required. This paper aims to analytically demonstrate the asymmetrical distribution of the Stator Teeth flux density. It is shown that this phenomena is depending on the number of slots per pole and per phase in the machine. Finally, a comparison with Finite Element results is given to validate the effectiveness of the proposed model.

Wenjuan Hao - One of the best experts on this subject based on the ideXlab platform.

  • Analysis of double-sided sandwiched linear flux-switching permanent-magnet machines with staggered Stator Teeth for urban rail transit
    IET Electrical Systems in Transportation, 2018
    Co-Authors: Wenjuan Hao, Yu Wang
    Abstract:

    Linear flux-switching permanent-magnet (LFSPM) machines exhibit significant potential in many applications. A double-sided sandwiched LFSPM (DSSLFSPM) machine with high thrust force capability is investigated in this study. After being optimised for optimal thrust force using Maxwell 2D, this machine is found to deliver higher thrust force when compared with an optimised conventional 12/14 LFSPM machine. However, low thrust force ripple is also required in many applications. Thus, in order to reduce the thrust force ripple, the DSSLFSPM machine is improved by a staggered Stator Teeth structure and an end permanent-magnets method, then, two improved machines are obtained. The improved machines can reduce the thrust ripple to a very low level without thrust force density decrease. Further, the Stator yoke thickness of the improved machines is optimised to reach optimal thrust force density. Finally, the performance of the DSSLFSPM-ST machines is analysed including the normal force, the efficiency and the power factor. It shows that the improved DSSLFSPM machines exhibit relatively low normal force and high thrust force density as well as low thrust ripples, indicating that they are suitable for long-stroke applications.

Michele Degano - One of the best experts on this subject based on the ideXlab platform.

  • Asymmetrical Flux Density Distribution in Stator Teeth of Surface Permanent Magnet Machines
    2019 IEEE Workshop on Electrical Machines Design Control and Diagnosis (WEMDCD), 2019
    Co-Authors: Giacomo Sala, Daniele De Gaetano, Michele Degano, Chris Gerada
    Abstract:

    This work is showing in detail the flux density behaviour in the Stator Teeth of a synchronous machine. A 3-phase Surface Permanent Magnet (SPM) motor is considered. These motors are widely employed in applications where high efficiency and power densities are required. This paper aims to analytically demonstrate the asymmetrical distribution of the Stator Teeth flux density. It is shown that this phenomena is depending on the number of slots per pole and per phase in the machine. Finally, a comparison with Finite Element results is given to validate the effectiveness of the proposed model.