Eventos Anais de eventos
COBEM 2021
26th International Congress of Mechanical Engineering
EVALUATION METHODS FOR CARBON STEEL LASER CLEANING PROCESS
Submission Author:
Manoel Kolling Dutra , SC
Co-Authors:
Elias Quandt, Manoel Kolling Dutra, Milton Pereira
Presenter: Manoel Kolling Dutra
doi://10.26678/ABCM.COBEM2021.COB2021-0007
Abstract
Cleaning materials through laser processing has being increasingly used since it is a fast, sustainable, and simple, when compared to other competing processes. A great utility of laser cleaning is related to the removal of corrosion from metallic surfaces. Through the burning reaction of the laser with the surface oxide, corrosion can be removed, making clean and ready for use an oxidized and unsuitable metallic part surface. The main obstacle in the case of laser cleaning parametrization is to find a correct set of parameters such as laser power, pulse frequency, and laser speed that are suitable for each material, and to define cleaning quality criteria. Thus, in this work a cleaning experiment is presented, aiming to reflects a common case in industry: to define cleaning parameters for a carbon steel plate taken by atmospheric corrosion. The experiment consisted of applying radiation from laser on the steel plate with the corroded surface. Some preliminary tests were carried out trying to find the range of parameters that demonstrated different degrees of cleanliness. Cleaning was carried out in small square-shaped regions, with 5 mm sides. In each square, different power and frequency settings were combined, resulting in a matrix with 12 squares. From the established parameters, the results obtained were analyzed both by a computer vision system, which generated contrast values in relation to the plate without cleaning and by a Scanning Electron Microscope, in which a deeper visual analysis could be done and, a preliminary chemical analysis. Through microscopic analysis, it was realized that the vision system evaluation results were not completely reliable but helped to better understand the cleaning phenomenon. Since the parameters with less power and higher frequency are less aggressive to the sample, and apparently do not alter the microstructure of the base material, they showed to be more appropriate for this task.
Keywords
Laser Cleaning, corrosion, Computer Vision System
