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Evaluation of the Magnetic Properties of the Rotating Machines for the Building Factor Clarification

Oka M., Kawano M., Shimada K., Kai T., Enokizono M.

Przegląd Elektrotechniczny

2011

R. 87, nr 9b

43-46

In order to know how much iron loss of an actual stator core increase in each manufacturing process, we are developing the magnetic property evaluation method of a rotating machine. In this research, we prepared two kinds of specimens, including piled up five punched electrical steel sheets that are the shape of the actual stator core and laminated punched electrical steel sheet in the shape of the actual stator core. The specimen of piled up five punched electrical steel sheets is called a punched specimen and the laminated punched electrical steel sheet is called the laminated specimen. The magnetic properties were measured using the excitation coil and the search coil that was wound in the back yoke of the two specimens. This method is called the direct winding method. The evaluated magnetic properties were the iron loss, the coercive force, the residual magnetic flux density, and the maximum excitation magnetic field strength. The experimental results showed that these measured magnetic properties clearly depended on the manufacturing process, such as the laminating process. The iron loss was increased by the laminating process by about 4.7% when the maximum excitation magnetic flux density (Bex) is 1.35 T. In this paper, the influence that the laminating process exerts on magnetic properties of an actual stator core is reported in detail.

Zbadano jak zmieniają się straty magnetyczne rdzenia stojana w wyniku procesu produkcji. W tym celu zbadano próbki w kształcie blach stojana. Badano straty, koercję, indukcję i natężenie pola magnetycznego. Stwierdzono, że parametry te bardzo zależą od procesu produkcji rdzenia. W wyniku laminowania straty wzrosły o 4.7% przy indukcji 1.35 T.

Identification of failure in reinforced concrete by means of genetic algorithm

Enokizono M., Kai T.

Journal of Technical Physics

1998

Vol. 39, no 3-4

421-428

This paper presents a new method of identification of defective reinforcement in a reinforced concrete by means of Genetic Algorithm (GA). GA is a kind of optimization technique based on the evolutional process such as natural selection, crossover and mutation in biological systems, But we propose to change the mutation rate in every generation.