磁性材料及器件
磁性材料及器件
자성재료급기건
JOURNAL OF MAGNETIC MATERIALS AND DEVICES
2015年
3期
17-20
,共4页
NdFeB永磁体%磁性能预测%支持向量回归
NdFeB永磁體%磁性能預測%支持嚮量迴歸
NdFeB영자체%자성능예측%지지향량회귀
NdFeB magnet%magnetic properties prediction%support vector regression
根据均匀设计方法制备的 NdFeB 系永磁合金样品实验数据，应用基于粒子群算法(PSO)寻优的支持向量回归(SVR)方法，建立了磁性能与合金成分之间预测模型。留一交叉法结果表明磁性能与合金成分之间关系复杂，呈现高度的非线性。表征磁性能的剩磁 Br、矫顽力 Hcj和磁能积(BH)max的平均绝对百分误差分别为0.53%、3.90%和1.73%，相关系数(R2)分别高达0.839、0.967和0.940。该方法有效地预测了NdFeB粘结磁体的磁性能，为实验工作者研究合金成分与磁性能之间关系提供了理论指导。
根據均勻設計方法製備的 NdFeB 繫永磁閤金樣品實驗數據，應用基于粒子群算法(PSO)尋優的支持嚮量迴歸(SVR)方法，建立瞭磁性能與閤金成分之間預測模型。留一交扠法結果錶明磁性能與閤金成分之間關繫複雜，呈現高度的非線性。錶徵磁性能的剩磁 Br、矯頑力 Hcj和磁能積(BH)max的平均絕對百分誤差分彆為0.53%、3.90%和1.73%，相關繫數(R2)分彆高達0.839、0.967和0.940。該方法有效地預測瞭NdFeB粘結磁體的磁性能，為實驗工作者研究閤金成分與磁性能之間關繫提供瞭理論指導。
근거균균설계방법제비적 NdFeB 계영자합금양품실험수거，응용기우입자군산법(PSO)심우적지지향량회귀(SVR)방법，건립료자성능여합금성분지간예측모형。류일교차법결과표명자성능여합금성분지간관계복잡，정현고도적비선성。표정자성능적잉자 Br、교완력 Hcj화자능적(BH)max적평균절대백분오차분별위0.53%、3.90%화1.73%，상관계수(R2)분별고체0.839、0.967화0.940。해방법유효지예측료NdFeB점결자체적자성능，위실험공작자연구합금성분여자성능지간관계제공료이론지도。
A model using support vector regression (SVR) combined with particle swarm optimization (PSO) was employed to construct mathematical prediction model for relationship between magnetic properties and alloy compositions according to experimental sample data of NdFeB permanent magnets based on the uniform design method. The leave-one-out cross validation (LOOCV) test results show that dependence of magnetic properties on alloy compositions is very complicated and highly nonlinear. The mean absolute percentage error for Br, Hcj and (BH)max are 0.53%, 3.90%, 1.73%, and the correlation coefficient (R2) is as high as 0.839, 0.967 and 0.940, respectively. This investigation suggests that the PSO-SVR is an effective method to predict the properties of NdFeB magnet and resultantly provides theoretical guidance for researching dependence of magnetic properties on alloy composition for experimental researchers.
