Related Experiment Video
Updated: Apr 13, 2026

Potentiodynamic Corrosion Testing
Published on: September 4, 2016
Early Detection of Fretting Corrosion in Hip Replacement by Acoustic Emission Non-Invasive Technique
Bill Keaty1, Yani Sun1, Ozevin Didem1
1Department of Civil, Materials and Environmental Engineering, University of Illinois at Chicago, Chicago, IL 60607, United States.
Abstract:
The present study aimed to investigate the feasibility of using acoustic emission (AE) as a detection method for identifying failure mechanisms at the modular junction interface in total hip replacements (THRs) subjected to fretting corrosion. The experimental setup involved simulating fretting corrosion using a Ti6Al4V disc representing the femoral neck and a ZrO2 pin representing the femoral head. Mechanical testing provided insights into the wear and frictional behavior occurring at the modular junction interface. The results revealed that for all three potential conditions, a fretting condition of partial slip was observed. These findings highlight the importance of understanding the mechanical interactions and their influence on the overall performance and longevity of THRs. Electrochemical analysis shed light on the corrosion behavior under different potentiostatic conditions. High potentials in the anodic condition led to increased corrosion and ion transfer due to the breakdown of the passive oxide layer. Conversely, the cathodic potential condition exhibited a regrowth of the passive oxide layer, protecting the Ti6Al4V surface from further corrosion. The mid-range corrosion potential condition showed a dynamic equilibrium between corrosion and passivation processes. These electrochemical insights enhance our understanding of the mechanisms involved in fretting corrosion. The AE data proved to be promising in detecting and monitoring the onset and progression of failure mechanisms. The AE signals exhibited distinctive patterns that correlated with the severity of fretting corrosion. Notably, the hit driven data results, derived from AE signals, demonstrated the ability to differentiate between different levels of fretting conditions. This suggests that AE can serve as a valuable diagnostic tool for early detection and continuous monitoring of implant failure in THRs.

