Identification of the elastic-plastic properties of CrN coating on elastic-plastic substrate by nanoindentation using finite element method-reverse algorithm

This paper proposes an identification methodology based on nanoindentation analysis of coating/substrate system to extract the elastic-plastic properties coating materials substrate when indenter penetration depth is greater than film thickness. In order accurately predict materials, a trust-region reflective optimization algorithm integrated with finite element analysis, in cooperation Jönsson and Hogmark model. The proposed reverse modifies predicted load-displacement (P-h) curve by changing until it fits experimental curve. Numerical instrumental indentations tests were carried out CrN film/Martensitic stainless steel verify method, which Young's modulus (E), yield stress (σy), work hardening exponent obtained. A sensitivity conducted study effect film/substrate results showed high impact loading unloading part due variations (E) (σy) compared those coating.