4.5 Article

Determining engineering stress-strain curve directly from the load-depth curve of spherical indentation test

Journal

JOURNAL OF MATERIALS RESEARCH
Volume 25, Issue 12, Pages 2297-2307

Publisher

SPRINGER HEIDELBERG
DOI: 10.1557/JMR.2010.0310

Keywords

-

Funding

  1. National Science Foundation (NSF) [CMMI-0643726]
  2. National Research Foundation of Korea [R32-2008-000-20042-0]
  3. National Natural Science Foundation of China (NSFC) [50928601]
  4. National Research Foundation of Korea [R32-2008-000-20042-0] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

Ask authors/readers for more resources

The engineering stress-strain curve is one of the most convenient characterizations of the constitutive behavior of materials that can be obtained directly from uniaxial experiments We propose that the engineering stress-strain curve may also be directly converted from the load-depth curve of a deep spherical indentation test via new phenomenological formulations of the effective indentation strain and stress From extensive forward analyses, explicit relationships are established between the indentation constraint factors and material elastoplastic parameters, and verified numerically by a large set of engineering materials as well as experimentally by parallel laboratory tests and data available in the literature An iterative reverse analysis procedure is proposed such that the uniaxial engineering stress-strain curve of an unknown material (assuming that its elastic modulus is obtained in advance via a separate shallow spherical indentation test or other established methods) can be deduced phenomenologically and approximately from the load-displacement curve of a deep spherical indentation test

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available