Enhancement in manufacturing systems using Grey-Fuzzy and LK-SVM approach
Enhancement in manufacturing systems using Grey-Fuzzy and LK-SVM approach
复制标题
使用 Grey-Fuzzy 和 LK-SVM 方法增强制造系统
DOI：
10.1109/icissgt52025.2021.00026
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
K. Balamurugan
中科院分区：
文献类型：
--
作者：
T. P. Latchoumi;G. Kalusuraman;J. Banu;T. L. Yookesh;T. Ezhilarasi;K. Balamurugan
采用搅拌铸造法制备了SiC含量为10%的镁合金。建立了L27正交表的Taguchi-Fuzzy综合模型。灰色模糊关联度（GFRG）预测的最佳加工条件与灰色关联度（GRA）预测的最佳加工条件基本一致，获得低冲蚀率和低维氏硬度的最佳加工条件为：冲击角（IA）= 30 °，冲蚀速度（EV）= 90 m/s，放电速度（DR）= 4 gms/min。由GFRG建立的回归方程具有良好的相关性。此外，尝试通过使用线性核支持向量机（LKSVM）方法和基于聚集分层聚类（AHC）算法的优点来降低数学复杂度（离线模式），L27正交阵列（OA）观测被分类为3类。ER和VHN的回归方程，特别是类有更多的观察（类2）单独已发现有很好的相关性与实验观察。
Magnesium with 10% of SiC is prepared through the stir casting process. An integrated Taguchi-Fuzzy model for L27 orthogonal array for Airjet machining parameters is developed. Optimum machining condition predicted by Grey Fuzzy Relational Grade (GFRG) is similar to Grey Relational Grade (GRA) and the optimum machining conditions for low Erosion Rate (ER) and Vickers Hardness Number (VHN) are Impact Angle (IA) = 30o, Erodent Velocity (EV) = 90 m/sec and Discharge Rate (DR) = 4 gms/min. For the experimental observations, the regression equation developed from GFRG has a good correlation. Further, an attempt has been to reduce the mathematical complexity (offline mode) by using the advantages of the Linear Kernel Support Vector Machine (LKSVM) method and Agglomerative Hierarchical Clustering-based (AHC) algorithm, L27 Orthogonal Array (OA) observations are classified into 3 classes. Regression equations developed for ER and VHN particularly for class having more observations (Class 2) alone has found to have excellent correlation with experimental observations.