Clustering of PP Nanocomposites Flow Curves Under Different Extrusion Conditions

Abstract

For assessing the structural features of organoclay C15A dispersions in PP/PP-g-MA melts under different processing conditions along the screws of Twin Screw Extruder, in this work four different clustering algorithms are considered. The best algorithm and number of clusters is selected using three internal validation measures: connectedness, Dunn’s index and silhouette width. The results show that hierarchical clustering is the algorithm that yield better results and two is the best number of clusters. Two clusters are well identified L/D = 9.5 and 32.