Visualization and Analysis of Visual Data in Additive Manufacturing Technology of Optoelectronic Devices

Abstract

The work is devoted to solving the problems of machine vision and scientific visualization in the framework of the industrial implementation of new laser technologies, in particular the technology of selective laser fusion. The result of the development of a specialized machine vision platform is demonstrated, which makes it possible to simplify the solution of a wide range of machine vision and scientific visualization tasks. In the presented work, a number of particular issues of video recording of processes in isolated environments, determining the boundaries of objects in the image, analyzing and processing of visual data, forming and presenting a picture of heat distribution in a three-dimensional object, based on data obtained from the means of conducting a numerical experiment (calculation of the mathematical model of the process under study implemented by us) are also considered. The article also demonstrates the results of combining calculated data on the geometry of the product, data obtained by analyzing video data from visual observation tools, with thermal distribution data. This approach makes it easier for technologists to analyze the production process, identify critical areas, such as overheating and non-melting zones, and select the technological parameters of the selective laser melting process. The results of the application of the created platform in various production technologies are demonstrated.