Parametric optimization of a synchronous electric drive with improved mass and size parameters

Gorozhankin, A. N.; Григорьев, М. А.; Zhuravlev, A. M.; Sychev, D. A.

doi:10.3103/s1068371215120081

Cited by 56 publications

(2 citation statements)

References 4 publications

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“…It is possible to bring an artificial softening of the mechanical characteristics in the electric drives of the powerful reversible hot rolling mill as another variant to solve this problem, where the system generator-motor was used, and the wound rotor induction motor (aggregates of Ilgner) was used to rotate the generator. This provides a reduction of the pulse load on the supply network in the moments when metal in the rolls [6].…”

Section: Statement Of Energy Saving Problemmentioning

confidence: 99%

Energy efficiency improvement of electric drive of cold pilgering mill

Sychev

Savosteenko

Gryzlov

2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. Different ways to improve the energy efficiency of electric drives of cold pilgering mill are considered. Mathematical modeling methods represent studies according to which it is possible to evaluate quantitatively the energy savings. For example, cold pilgering mill 450 shows the mean square of the armature current of the main drive motor related to critical frequency of the speed loop. The possibility of energy saving by previous field weakening of the motor before the operating cycle of rolling is considered. The optimal energy saving points of supply and termination of the pulse are determined by the field weakening. The correlation of the parameters of the dynamic units and the change of the electric drive work schedule provides the greatest loss reduction in the main drive of the cold pilgering mill stand based on the conditions. Activities aimed at improving energy efficiency of electric drives of mills of this group are reviewed, which reduces the electric energy consumption for the cycle rolling by 20-25 %.

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Section: Statement Of Energy Saving Problemmentioning

confidence: 99%

Energy efficiency improvement of electric drive of cold pilgering mill

Sychev

Savosteenko

Gryzlov

2017

IOP Conf. Ser.: Mater. Sci. Eng.

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“…Traditionally, in electrical machines, performance maximization is achieved through parametric optimization [7]. The main difference between parametric and TO is that with TO methods, it is not necessary to a priori define all the geometrical variants, which is the case with parametric optimizations.…”

Section: Introductionmentioning

confidence: 99%

Novel Topology Optimization Method for Weight Reduction in Electrical Machines

et al. 2022

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This paper proposes a combined electromagnetic and mechanical topology optimization for weight reduction in electrical machines based on Finite Element Analysis (FEA) and Evolutionary Structural Optimization (ESO). The devised method is an on-off-type algorithm with adaptative mesh in which low flux density and low Von Mises stress cells are removed successively from a first machine design. With this approach, the weight of the machine can be considerably reduced without compromising the electromagnetic performance of the machine, with a reduced computation time compared to other topology optimization methods. A case study involving a 1.2 MW low-speed, permanent magnet motor is analyzed under different conditions (algorithm parameters, initial mesh, rotational speed) and used to compare the proposed method with two other topology optimization approaches.

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