Visualization technique of resin characteristics with Self-organizing map

Abstract

Today, there are many kinds of grades in synthetic resins of domestic resin industry and this fact makes it difficult for plastic manufacturers to choice proper one. So, we developed visualization technique of the material characteristics that help us with Self-organizing map in order to grasp their similarities of resin grades. We made Self-organizing maps on 32 grades transparent PP (polypropylene) and 142 grades styrene elastomer each other. Self-organizing map is one of multivariate analysis technique. It can contract multidimensional information to two dimensions and help us to figure out entire data. On the map, the similarities among all grades were shown as distance, and they were grouped into some classes. The map of each physical property suggested grade characteristics by classes. To show an application of the maps, we try to consider the alternatives of transparent PP grade for certain product with them and search out appropriate one. We will report the details on poster.