İSTİF İ. (Executive) , TUNCEL M. T.

Project Supported by Higher Education Institutions, 2015 - 2020

  • Project Type: Project Supported by Higher Education Institutions
  • Begin Date: July 2015
  • End Date: July 2020

Project Abstract

Friction, one of the subjects of tribology, causes wear on relatively moving machine parts whose surfaces come into contact under a certain pressure. Most of the damage to the machines is caused by wear. In the case of where dry sliding wear is unavoidable, materials with high wear resistance are preferred to extend the life of the machine element. In addition, it is possible to predict wear loss before wear-related damage occurs and to extend the service life of the parts with the measures to be taken and the maintenance to be performed. For the prediction of wear damage, it is possible to realize the prediction by simulation studies on the models based on the wear tests. In the literature, especially in the automotive and aerospace industry, it is seen that aluminum and epoxy composite materials, which are metal and polymer-based materials, are widely used in recent years. The common feature of these materials is their lightness, high corrosion resistance and easy to produce as composite. However, when these materials are used purely, their wear resistance is low. Due to its self-lubricating properties, graphene is widely used in aluminum and polymer composites to improve the wear characteristics of these materials. Pin-on-disc test is one of the standard tests used to measure the wear behaviour of aluminum and epoxy graphene samples prepared in this study and to perform dry friction wear tests. The wear characteristics of the material pairs were obtained from the experimental results. The friction force measured during the experiments and the wear rate calculated from the weight loss per sliding distance was accepted as the input and output variables of the single input-single output wear process and three different models were obtained with the system identification method for each pin-on-disc test. The simulations of the obtained models were compared with the experimental results and the fit of the simulation and experimental results were given together with the modelling results.