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Title: A Novel Approach for Monitoring Plastic Flow Localization during In-Situ Sem Testing of Small-Scale Samples

Abstract

A novel method is proposed for monitoring the plastic flow localization during in-situ scanning electron microscopy (SEM) testing of small-scale AISI 316 L stainless steel. Stress-strain behavior of the material was obtained using a hybrid numerical-experimental (HNE) approach. By repeatedly illustrating each pair of sequentially taken SEM surface images throughout the deformation history in alternating order in form of a video, location of the material points which are not moving during the deformation can be detected. At the initial stages of deformation these points are located on the geometrical symmetry line of the test sample, however; when uniform straining limit of the material is reached, the locations of the stationary material points reveal the plastic localization regions. The current results clearly prove the feasibility of the presented method in monitoring primary plastic localization events through in-situ SEM tensile testing.

Authors:
;  [1];  [2];  [3]
  1. Koç University, Department of Mechanical Engineering, Advanced Materials Group (AMG) (Turkey)
  2. Universität Kassel, Institut für Werkstofftechnik (Institute of Materials Engineering) (Germany)
  3. Technische Universität Bergakademie Freiberg, Institute of Materials Engineering (Germany)
Publication Date:
OSTI Identifier:
22771258
Resource Type:
Journal Article
Journal Name:
Experimental Techniques
Additional Journal Information:
Journal Volume: 42; Journal Issue: 2; Other Information: Copyright (c) 2018 The Society for Experimental Mechanics, Inc; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0732-8818
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; DEFORMATION; FRACTURES; MICROSTRUCTURE; MONITORING; PLASTICITY; PLASTICS; SCANNING ELECTRON MICROSCOPY; STAINLESS STEELS; STRAINS; STRESSES; SURFACES; SYMMETRY; TESTING

Citation Formats

Mirzajanzadeh, M., Canadinc, D., E-mail: dcanadinc@ku.edu.tr, Niendorf, T., and Weidner, A.. A Novel Approach for Monitoring Plastic Flow Localization during In-Situ Sem Testing of Small-Scale Samples. United States: N. p., 2018. Web. doi:10.1007/S40799-017-0212-3.
Mirzajanzadeh, M., Canadinc, D., E-mail: dcanadinc@ku.edu.tr, Niendorf, T., & Weidner, A.. A Novel Approach for Monitoring Plastic Flow Localization during In-Situ Sem Testing of Small-Scale Samples. United States. doi:10.1007/S40799-017-0212-3.
Mirzajanzadeh, M., Canadinc, D., E-mail: dcanadinc@ku.edu.tr, Niendorf, T., and Weidner, A.. Sun . "A Novel Approach for Monitoring Plastic Flow Localization during In-Situ Sem Testing of Small-Scale Samples". United States. doi:10.1007/S40799-017-0212-3.
@article{osti_22771258,
title = {A Novel Approach for Monitoring Plastic Flow Localization during In-Situ Sem Testing of Small-Scale Samples},
author = {Mirzajanzadeh, M. and Canadinc, D., E-mail: dcanadinc@ku.edu.tr and Niendorf, T. and Weidner, A.},
abstractNote = {A novel method is proposed for monitoring the plastic flow localization during in-situ scanning electron microscopy (SEM) testing of small-scale AISI 316 L stainless steel. Stress-strain behavior of the material was obtained using a hybrid numerical-experimental (HNE) approach. By repeatedly illustrating each pair of sequentially taken SEM surface images throughout the deformation history in alternating order in form of a video, location of the material points which are not moving during the deformation can be detected. At the initial stages of deformation these points are located on the geometrical symmetry line of the test sample, however; when uniform straining limit of the material is reached, the locations of the stationary material points reveal the plastic localization regions. The current results clearly prove the feasibility of the presented method in monitoring primary plastic localization events through in-situ SEM tensile testing.},
doi = {10.1007/S40799-017-0212-3},
journal = {Experimental Techniques},
issn = {0732-8818},
number = 2,
volume = 42,
place = {United States},
year = {2018},
month = {4}
}