Artificial vision applied to manufacturing process

L. Hurtado-Cortés, John Alejandro Forero-Casallas, V. Ruiz-Rosas
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Abstract

This article presents the results of the implementation of artificial vision and image processing projects applied to a parts manufacturing process. In a first scenario, three-dimensional computational geometric models of the parts to be manufactured were obtained from the capture and processing of thermo-graphic images. In a later stage of the manufacturing process, a direct measurement system for cutting tool wear was implemented using HD images with image processing software using NI Lab VIEW from National Instruments®. In the final stage of parts manufacturing, the development of software (UDmetaL Handbook) for the quantitative metallographic analysis of micrographs for hypoeutectoid steels is presented. The software determines the type of steel based on the percentage of carbon and finds the mechanical properties of the material in a database that is incorporated into the software. The software's basis of operation is computational analysis through digital processing of metallographic images obtained through experimental laboratory processes using NI Lab VIEW software from National Instruments®.
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人工视觉在制造过程中的应用
本文介绍了在零件制造过程中应用人工视觉和图像处理项目的实施结果。在第一种方案中,通过捕获和处理热成像图像获得待制造部件的三维计算几何模型。在制造过程的后期阶段,使用HD图像和使用NI Lab VIEW的图像处理软件实现了切削刀具磨损的直接测量系统。在零件制造的最后阶段,介绍了用于亚共析钢显微图定量金相分析的软件(UDmetaL手册)的开发。该软件根据碳的百分比确定钢的类型,并在数据库中找到材料的机械性能,并将其纳入软件中。该软件的操作基础是通过使用美国国家仪器公司(National Instruments®)的NI Lab VIEW软件对实验实验室过程获得的金相图像进行数字处理,从而进行计算分析。
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