Article

Experimental Mechanics

, Volume 51, Issue 1, pp 97-109

Quantitative Stereovision in a Scanning Electron Microscope

  • T. ZhuAffiliated withDepartment of Mechanical Engineering, University of South Carolina
  • , M. A. SuttonAffiliated withDepartment of Mechanical Engineering, University of South Carolina Email author 
  • , N. LiAffiliated withDepartment of Mechanical Engineering, University of South Carolina
  • , J.-J. OrteuAffiliated withUniversité de Toulouse, INSA, UPS, Mines Albi, ISAE, ICA (Institut Clément Ader)
  • , N. CornilleAffiliated withG2Métric
  • , X. LiAffiliated withDepartment of Mechanical Engineering, University of South Carolina
  • , A. P. ReynoldsAffiliated withDepartment of Mechanical Engineering, University of South Carolina

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Abstract

Accurate, 3D full-field measurements at the micron-level are of interest in a wide range of applications, including both facilitation of mechanical experiments at reduced length scales and accurate profiling of specimen surfaces. Scanning electron microscope systems (SEMs) are a natural platform for acquiring high magnification images for stereo-reconstruction. In this work, an integrated methodology for accurate three-dimensional metric reconstruction and deformation measurements using single column SEM imaging systems is described. In these studies, the specimen stage is rotated in order to obtain stereo views of the specimen as it undergoes mechanical or thermal loading. Simulations and preliminary experimental studies at 300× demonstrate that (a) spatially-varying image distortions can be removed from images using a non-parametric distortion model, (b) the system can be reliably calibrated using distortion-corrected images of a planar object and grid at various orientations and (c) specimen rotation variability during the measurement phase can be controlled so that baseline strain errors are within the range of ±150 µε. Benchmark rigid body motion experiments using calibrated SEM views demonstrate that all components of strain in the reconstructed object have a mean value around O(10−4) and a random spatial distribution with standard deviation ≈ 300 micro-strain.

Keywords

Scanning electron microscope (SEM) Stereo-vision Digital image correlation (DIC) Strain measurement Accurate 3D topography and 3D displacement measurements