Reliability of micro-gears is known to be adversely affected by wear. In this work we report a strategy to predict local wear with the aim of predicting their effective life span. For the prediction of local wear we start from the relevant model experiments, choice of a suitable wear model and identification of the wear coefficient from these experiments. This wear model is then implemented in an efficient finite element based scheme to predict local wear. Here we report the further development of this finite element based wear simulation tool, the Wear-Processor, to handle this multi time scale problem of gear tooth wear.

Variations in the distribution of the alloy components can significantly influence the electronic properties

of self-organized alloy nanocrystals. Using a combination of finite element and quadratic programming

optimization methods, we have developed an efficient numerical technique to compute the equilibrium

composition profiles in coherent and dislocated nanocrystals. We show that the variations in composition

profiles arise due to the competition between chemical mixing effects and the relaxation of composition-

dependent mismatch strain as well as strain due to dislocations. We find that the composition profiles

I am attaching a pdf of "How to give successful oral and poster presentations" by J.W. Niemantsverdriet of the Eindhoven University of Technology which I had found on the internet some years ago. It has some very useful tips.

V. Hegadekatte