Determining whether the cleaning effect of a laser cleaning machine meets the standard can be comprehensively evaluated from the following aspects:
ollutant Removal Degree: Observe the cleaned surface with the naked eye or a microscope to ensure that pollutants (such as rust, oil stains, coatings, etc.) have been effectively removed without residue. For specific cleaning tasks, such as laser paint removal, it should be ensured that the primer is completely removed, revealing the base material, such as the silver-white color of aluminum alloy.
Surface Condition: The cleaned surface should be clean, smooth, without scratches, dents, discoloration, or other damage. Additionally, the surface should have a certain roughness to facilitate the good adhesion of coatings in subsequent processing.
Efficient cleaning equipment should complete the cleaning task in a short time with a better cleaning effect. Therefore, the cleaning efficiency can be evaluated by measuring the time required for cleaning. If the cleaning time is too long, it may indicate insufficient power of the cleaning machine or improper cleaning parameter settings.
Surface Roughness: Use surface roughness measuring instruments (such as a stylus profilometer or optical interferometer) to measure the surface roughness after cleaning. By comparing the roughness values before and after cleaning, the impact of the cleaning process on surface quality can be assessed.
Microstructure Analysis: For critical components or precision parts, observe their microstructure with a metallurgical microscope or scanning electron microscope to check for grain deformation, grain boundary cracking, or other signs of damage.
For some critical components, such as engine parts or electronic components, functional tests can be performed to assess whether the performance of the parts has been restored or improved after cleaning. This includes testing the mechanical properties, electrical properties, etc., of the components.
Perform chemical analysis on the surface before and after cleaning to determine whether pollutants have been completely removed and whether the cleaning process has introduced new chemical substances or altered the surface's chemical properties. This can be done through spectroscopic analysis, X-ray fluorescence analysis, and other methods.
In recent years, new methods of evaluating laser cleaning effects through time-resolved spectroscopy have emerged. This method selects detection wavelengths, irradiates the surface to be cleaned with a laser, obtains plasma spectral lines, and judges the cleaning effect based on the time-varying characteristics of the acquired signals. This method has the advantages of being real-time, rapid, and accurate, providing a foundation for closed-loop control.
In summary, determining whether the cleaning effect of a laser cleaning machine meets the standard requires comprehensive evaluation from multiple aspects. In practical applications, appropriate evaluation methods and indicators should be chosen based on specific cleaning tasks and requirements.