Research on Kansei Image in Kansei-Based Design System for CNC Machine Tools

Abstract

In order to establish the perceptual function model of products, we use image semantics words to express the perceptual capabilities of CNC machine tools in the study of their image modeling design. Consider the complexity of the image information, users tend to use a relatively vague image word to express their expectations of the product, however, due to the ambiguity and uncertainty of the image information itself, the shape feature information of a product often requires the use of multiple images words to describe. In order to solve the correlation problem among them, this paper uses the principle of semantics associated of product, filters the user's semantics, and obtains the representation semantic words to describe the shape characteristics of CNC machine tools and the correspondence between the relatively fuzzy images and the representation semantic words. This lays the foundation for the image design of CNC machine tools.