8 research outputs found

    Thermal investigation on HSPM with new alloy sleeve

    Get PDF
    This paper presents a developed copper-iron alloy which made as the rotor sleeve in a high speed permanent magnetic machine (HSPMG), whist investigating its benefits in improve machine thermal performance. The features of the new alloy is experimental tested against the performance, which includes the conductivity, the permeability, and thermal conductivity, and the variation of loss distribution inside machine with sleeve conductivity and permeability are studied. A fluid-thermal coupled analysis model is proposed, by using which the fluid velocity and temperature distribution are obtained via numerical analyzing. The variations of machine operating temperature with new material are evaluated

    Electrothermal combined optimization on notch in air-cooled high-speed permanent-magnet generator

    Get PDF
    A 30kVA, 96000rpm, air cooled high-speed permanent magnetic generator (HSPMG) is investigated in this paper. Considering effects on both the magnetic circuit and heat transfer paths comprehensively, the stator slot notch in this HSPMG is optimized. First, by using the time-stepping finite element method, the transient electromagnetic fields of HSPMG is numerically calculated, and the electromagnetic losses in different components are obtained. Then, after the determination of other mechanical losses in such a machine, a three-dimensional fluid-thermal coupling calculation model is established, and the working temperature distribution in the HSPMG is studied. Thus, the electromagnetic-fluid-thermal coupling analysis method on the HSPMG is proposed, by using which the influences of machine notch height on machine magnetic circuit and cooling air flowing path are investigated. Meanwhile, both the electromagnetic performance and the temperature distribution in HSPMG with different stator notch height are studied, and a series of analytical equations are deduced to describe the variations of machine performances with stator notch. By using the proposed unbalance relative weighting method, the notch height is optimized to enhance the performance of HSPMG. The obtained conclusions could provide reference for HSPMG electromagnetic calculation, cooling system design, and optimization design

    Thermal investigation on HSPM with new alloy sleeve

    Full text link

    Design considerations for the tooth shoe shape for high-speed permanent magnet generators

    Get PDF
    This paper presents a study of the effects that the shoe shape of the teeth of electrical machines has on the performance and losses. This is done by considering a concentrated wound, high-speed permanent magnet generator. The paper investigates the influence of the tooth shoe shape on the machine magnetic circuit and the losses distribution based on analytical and finite-element analysis (FEA). A shape coefficient Kt is proposed to provide an optimized design reference. A comprehensive analytical tool able to study the variations of the machine performance parameters is proposed. The deduced optimization function is normalized using the non-equilibrium relative weighting method, and then, it is processed via a genetic algorithm to achieve the optimized design. FEA is used to validate the proposed analytical tool and the optimum design

    Control integrated studies on high speed permanent magnetic generators system

    Get PDF
    The power converter and its control system has great impact on the behavior of the high speed permanent magnet generator system (HSPGS) due to the high operating frequency, and therefore should be investigated in the design and research on the HSPGS. This paper investigates a 3kW 80,000 rpm HSPGS with the control system and evaluates machine performance. A study model composed of three dimensional finite element analyses and control system is proposed, and the magnetic density distribution in machine is investigated via FEA and power converter control directly coupled research. From the comparisons of simulation results of generator operating with or without control system, the effects of control system current time harmonics on the three dimensional flux distribution, the vector eddy current in rotor sleeve, and the iron loss of the machine are explored. By using the harmonics analyses, both the space flux harmonics and the voltage current time harmonics are obtained. The tested waveforms and voltage and current value of machine under different working conditions verify the calculated results. The obtained results could provide reference for system level design and investigation for HSPGS

    Slot Number Thermal Effects on Electrical Machines

    Get PDF

    A review of design optimization methods for electrical machines

    Full text link
    © 2017 by the authors. Licensee MDPI, Basel, Switzerland. Electrical machines are the hearts of many appliances, industrial equipment and systems. In the context of global sustainability, they must fulfill various requirements, not only physically and technologically but also environmentally. Therefore, their design optimization process becomes more and more complex as more engineering disciplines/domains and constraints are involved, such as electromagnetics, structural mechanics and heat transfer. This paper aims to present a review of the design optimization methods for electrical machines, including design analysis methods and models, optimization models, algorithms and methods/strategies. Several efficient optimization methods/strategies are highlighted with comments, including surrogate-model based and multi-level optimization methods. In addition, two promising and challenging topics in both academic and industrial communities are discussed, and two novel optimization methods are introduced for advanced design optimization of electrical machines. First, a system-level design optimization method is introduced for the development of advanced electric drive systems. Second, a robust design optimization method based on the design for six-sigma technique is introduced for high-quality manufacturing of electrical machines in production. Meanwhile, a proposal is presented for the development of a robust design optimization service based on industrial big data and cloud computing services. Finally, five future directions are proposed, including smart design optimization method for future intelligent design and production of electrical machines
    corecore