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钢铁材料的成分和组织结构与其磁性能及机械性能具有直接相关性 ,据此可以实现钢材材质的电磁无损检测分选。但现有电磁分选仪的数据处理大都建立在材质特性参数与磁导率成线性关系这种假设的基础上 ,实际应用中检测分选效果较差。提出了将样条插值算法引入到仪器的数据分析处理过程中 ,以较好地近似钢铁件的材质—磁导率关系曲线 ,从而提高了仪器的材质分选效果。对算法进行了理论推导 ,给出了算法表达式及误差估计 ,并指出了仪器应用中确保检测精度的要领。试验验证了算法的有效性。
The composition and structure of steel materials and its magnetic properties and mechanical properties have a direct correlation, which can be achieved by the steel material non-destructive testing of electromagnetic separation. However, the data processing of the existing electromagnetic sorter is mostly based on the assumption that the material characteristic parameter is linear with the permeability, and the detection and sorting result is poor in practical applications. The spline interpolation algorithm is introduced into the data analysis and processing of the instrument to better approximate the material-permeability curve of the steel part, thereby improving the material sorting effect of the instrument. The algorithm is theoretically deduced, the algorithm expression and error estimation are given, and the essentials of ensuring the detection accuracy in the application of the instrument are pointed out. Experiments verify the effectiveness of the algorithm.