Laser processing for reducing core loss of grain oriented silicon steel

A high grade non-oriented electrical steel final annealing product was processed by stress relief annealing experiments under pure hydrogen atmosphere using different process parameters. The samples were compared in the aspects of magnetic properties and anisotropy, then analyzed the phenomena concerned with grain size, texture and precipitates aspects. The experiments showed that the samples magnetic properties were most improved in the 850 degrees stress relief annealing experiment, thus providing a reference method for non-oriented silicon steel stress relief annealing experiments and to obtain low core loss non-oriented silicon steel.

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Impact of addition of ca on clogging of SEN and magnetic properties of non-oriented silicon steel

Journal of Mining and Metallurgy Section B Metallurgy ◽

10.2298/jmmb180629001k ◽

2019 ◽

Vol 55 (1) ◽

pp. 39-46

Author(s):

W. Kong ◽

D.G. Cang

Keyword(s):

Magnetic Properties ◽

Continuous Casting ◽

Casting Speed ◽

Magnetic Induction ◽

Core Loss ◽

Submerged Entry Nozzle ◽

Silicon Steel ◽

The Core ◽

Dissolved Aluminum ◽

The Impact

The submerged entry nozzle (SEN) clogging has been happening during continuous casting (or CC for short) for nonoriented silicon steel. To solve the problem, the paper studied a flow rate through SEN, a node attached to one of them, and the impact on the clogging. The results showed that when SEN is clogged seriously, the casting speed has to decrease below the target casting speed and that SEN clogging can be predicted by comparing the actual value and the theoretical one of a casting speed. Al2O3 and its composite inclusions caused the SEN clogging and the addition of Ca can solve SEN clogging during CC of the silicon steel both theoretically and practically. Furthermore, the impact of the addition of Ca on the magnetic properties of the steel were analyzed. The results showed that the core loss and the magnetic induction of the silicon steel decreased by using the addition of Ca, which generated more dissolved Aluminum, and the addition of Ca generated more harmful textures, which reduced the magnetic induction.

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Thermal Stability Study of the Core Loss of Laser Etched Grain Oriented Silicon Steel

Applied laser ◽

10.3788/al20153501.0083 ◽

2015 ◽

Vol 35 (1) ◽

pp. 83-87

Author(s):

朱虹 Zhu Hong ◽

郭亮 Guo Liang ◽

张庆茂 Zhang Qingmao

Keyword(s):

Thermal Stability ◽

Core Loss ◽

Stability Study ◽

Silicon Steel ◽

The Core ◽

Thermal Stability Study

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Parameter Optimization of Laser Scribing Technics of 30Q130 Grain-Oriented Silicon Steel Based on Genetic Neural Network

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.37-38.844 ◽

2010 ◽

Vol 37-38 ◽

pp. 844-848

Author(s):

Yu Huang ◽

Yong Liu ◽

Guo Li Zhu

Keyword(s):

Neural Network ◽

Orthogonal Experiment ◽

Core Loss ◽

Optimization Method ◽

Silicon Steel ◽

Laser Scribing ◽

Cold Rolling And Annealing ◽

Neural Network Prediction ◽

Genetic Neural Network ◽

Network Prediction

A laser is often considered to scribe the grain-oriented silicon steel surfaces after cold-rolling and annealing to reduce the core loss. It is necessary to select the best scribing parameters to maximize the reduction in this process. This paper proposed an optimization method of genetic algorithm during laser scribing of 30Q130 steel, by developing an artificial neural network prediction model using a database form a designed orthogonal experiment. The objective was to determine the best combination values of three important scribing parameters, namely scribing velocity, pulse energy and scanning spacing, that can get the largest core loss reduction. An optimized combination of parameters was obtained by this method and then validated by an adding experiment. The result indicates that the optimization model is reliable.

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