Desenvolvimento de software para identificação de contorno de grão e fases de materiais metálicos ferrosos

Abstract

The process of characterization of metallic materials has become increasingly present as new applications for these materials have been developed. Thus, it is of fundamental importance to know aspects of the constituent microstructural elements that are closely related to the physical and chemical properties of the material. The present work had as objective to develop a computational methodology by means of the processing and analysis of microstructural images of a ferrous metal material, aiming to identify the grain contours and the phases present in the microstructure and for this the metallographic test and the acquisition of micrographs in the 40x, 100x and 400x magnifications of a SAE 1020 steel test body. The methodology of the present work was developed using open source tools. The images resulting from the pre-processing steps were analyzed and the influence of each filter on the images was presented. The methodology was compared with other commercial software, proving to be efficient and with better results than these softwares.