Specific total loss is one of the most important evaluation indexes for the magnetic properties of non-oriented electrical steel sheets. The aim of this study is to investigate the influencing mechanisms of laser cutting parameters as well as the sample characteristics on the specific total loss of thin non-oriented electrical steel sheets processed by laser cutting using a machine learning method. Eight input parameters were finally considered; namely, silicon and manganese contents, thickness of the steel sheets, laser nozzle diameter, laser power, cutting speed, the pressure of process gas, and laser defocus, while one output parameter, the specific total loss, was evaluated. It was found that the specific total loss was positively correlated with the sample thickness, but negatively correlated with silicon and manganese contents, the process gas pressure and laser nozzle diameter. In addition, laser power and cutting speed exhibit complicated non-linear relationships with the specific total loss.

中文翻译：

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激光切割无取向电工钢比全损耗的影响因素

比总损耗是无取向电工钢板磁性能最重要的评价指标之一。本研究的目的是采用机器学习方法研究激光切割参数和样品特征对激光切割薄无取向电工钢板比全损耗的影响机制。最终考虑了八个输入参数；即硅和锰含量、钢板厚度、激光喷嘴直径、激光功率、切割速度、工艺气体压力和激光散焦，同时评估了一个输出参数，即特定总损耗。结果发现，比全损与样品厚度呈正相关，与硅、锰含量呈负相关，工艺气体压力和激光喷嘴直径。此外，激光功率和切割速度与特定的总损耗呈现出复杂的非线性关系。