Towards enhanced nanoindentation by image recognition

Abstract The Oliver–Pharr method is maybe the most established to determine a material’s Young’s modulus and hardness. However, this has number of requirements that render it more challenging for hard stiff materials. Contact area frame stiffness have be calibrated every tip, surface contact accurately identified. calibration particularly prone inaccuracies since easily affected, e.g., by sample mounting. In study, we introduce identify hardness from nanoindentation without separate function calibrations identification. To end, employ automatic image recognition might less than square micrometer. We compare results those method. Our approach will demonstrated evaluated Si, material, which proposed Graphic