The Phenomena of Tribology: Varnish Removal from Metal Surfaces in Mechanical Components
Board Location: #86
Discipline: Technology and Engineering
Subcategory: civil/mechanical/industrial
Session: 3
Jesus De La Mora - Ashlie Martini
Co-Author(s): Jose Arturo Morales and Victoria Vaquedano.
Varnish forms when the lubricating oil is exposed to water, dust and ambient conditions that accelerate the oxidation process and deteriorate its properties. Varnish formation in mechanical devices is a challenge because the deposits on metal surfaces could affect the proper flow which can lead to functionality issues. In our lab, using a custom test ring, we test the performance of chemical cleaners and evaluate their efficiency at removing varnish. The different testing conditions influence varnish removal rate and allow us to make visual and mass measurable comparisons to determine the performance of the chemical cleaners. Furthermore, the testing cell was sealed with elastomers. Those elastomers were tested to observe the effect of chemical cleaners on their mechanical properties. By preventing varnish formation and ensuring proper sealing, this project promotes reliability and efficiency in mechanical systems. Varnish removal research makes a great contribution to keep components working at optimal performance for longer periods of time.
Faculty Advisor: Ashlie Martini, amartini@ucmerced.edu
Role: My research role involves conducting varnish removal tests, ensuring that all equipment and apparatus are functioning properly throughout the experiment. I am responsible for accurately collecting both visual and mass data during the tests. Subsequently, using MATLAB, I carry out post-processing of the data to assess the performance and efficiency of the chemical cleaners and the experimental setup. This analysis enables me to evaluate the effectiveness of the varnish removal process. Finally, I present the findings to my mentor, providing a detailed summary of the visual and mass analysis and offering recommendations on whether any tests should be repeated based on the quality of the collected data and results.