A general method for surface quality control in intelligentmanufacturing of materials using a new fuzzy-fractal approach

摘要

We describe a general method to perform automated quality controlin the manufacturing of materials using a new fuzzy-fractal approach. Wealso show how to implement this new method as an intelligent system toreally achieve the goal of automated quality control in practice.Engineers deal with surfaces and surface properties in a wide variety ofcontexts. In manufacturing applications, the goal is to produce asurface with specific physical or chemical properties. The concept ofthe fractal dimension can be used to classify a complex geometricalobject (O. Castillo and P. Melin, 1994). In this case, we use thefractal dimension to characterize surface roughness of materials formanufacturing applications. On the other hand, we used fuzzy logictechniques (L.A. Zadeh, 1975) to simulate the expert evaluation/decisionprocess to obtain the quality of the manufactured materials. The processof quality evaluation is simulated in an intelligent system using asinput the information about material roughness (fractal dimension), andthen by applying a set of fuzzy rules to decide on the degree of qualityof the production. The intelligent system performs this“expert” simulation, which in turn results in automatedevaluation of production quality