Automating of Nanoindentation raw results processing with Python module

Abstract

For more than 100 years, researchers in the mechanical sciences have acknowledged that surface contacts between materials are highly reliant on their mechanical properties. In that light, Nanoindentation at small scales has become a conventional tool for the measurement of mechanical properties. Continuing advancements in indentation data analysis increased the method’s utility in the characterization of biomaterials. The mechanical characterization of tissues and other biological materials is of utmost importance in clinical medicine and the field of biomaterials. Since the interpretation of nanoindentation raw results appeared as time consuming, the necessity for more rapid approach was recognized. With that in mind the Python module with specific functionality was developed. The enclosed results for multiple test processing with and without proposed optimization show that presented method demonstrates faster and more accurate performance in all cases.