Core loss reduction in grain-oriented silicon steels by excimer laser scribing

2001 ◽  
Vol 112 (2-3) ◽  
pp. 199-204 ◽  
Author(s):  
Satish V Ponnaluri ◽  
Ramachand Cherukuri ◽  
P.A Molian
Keyword(s):  
Excimer Laser ◽  
Core Loss ◽  
Loss Reduction ◽  
Laser Scribing

Investigation of Laser Scribing Technics for Reducing Core Loss of Grain-Oriented Silicon Steels

2010 ◽  
Vol 455 ◽  
pp. 141-145
Author(s):  
Y. Huang ◽  
Y. Liu ◽  
G.L. Zhu
Keyword(s):  
Pulse Energy ◽  
Eddy Currents ◽  
Orthogonal Experiment ◽  
Core Loss ◽  
Loss Reduction ◽  
Scanning Velocity ◽  
Laser Marking ◽  
Laser Scribing ◽  
Cold Rolling And Annealing ◽  
Steel Surfaces

A laser is often considered to scribe the steel surfaces after cold-rolling and annealing to reduce the energy losses associated with hysteresis and eddy currents. In order to maximize the loss reduction of this process, the laser scribing technics was investigated in details. In this work, three laser scribing parameters including pulse energy, scanning velocity and scribing spacing, which are highly related to the loss reduction, were selected for the study. A L9(34) orthogonal experiment was designed and carried out by an Nd:Yag laser marking machine. The results indicate that the subsequence of significance of the three factors on core loss reduction is as follows: pulse energy, scribing spacing and scanning velocity. And an optimized combination of parameters is obtained by range method.

Diode laser scribing of non‐oriented 3 wt% Si‐steel for core loss reduction

1997 ◽  
Vol 9 (3) ◽  
pp. 147-153 ◽  
Author(s):  
Ravisankar Gurusamy ◽  
P. A. Molian
Keyword(s):  
Diode Laser ◽  
Core Loss ◽  
Loss Reduction ◽  
Laser Scribing

Core loss reduction by laser scribing in grain-oriented 3% Si-Fe under different magnetizing direction

2004 ◽  
Vol 201 (8) ◽  
pp. 1815-1818 ◽  
Author(s):  
K. S. Ryu ◽  
Youn-Ju Park ◽  
C. G. Kim ◽  
Je Cheon Ryu ◽  
D. Son
Keyword(s):  
Core Loss ◽  
Loss Reduction ◽  
Laser Scribing

Core Loss Reduction for High-Speed Motor

2018 ◽  
Author(s):  
Masato Enokizono ◽  
Daisuke Wakabayashi ◽  
Yuji Tsuchida ◽  
Shohei Ueno ◽  
Naoya Soda
Keyword(s):  
High Speed ◽  
Core Loss ◽  
Loss Reduction

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

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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