Optimization tools in the analysis of micro-textured lubricated devices

Abstract

We address the problem of optimizing the performance of lubricated devices by means of artificial texturing. We consider a slider (or equivalently a thrust bearing) and minimize the friction using optimization tools such as sensitivity analysis and genetic algorithms. We show that textures that perform significantly better than the smooth (untextured) one can be found, and that the optimized texture depends on the working conditions (load, velocity). The GENESIS code that we used, with no fine tuning of algorithmic variables, proved a valuable tool in the identification of improved shapes.