Prediction of Residual Stress Distribution in Severe Surface Deformed Steel by Constant Penetration Depth Method

• AKINIWA Yoshiaki

  Dept. of Mech. Sci. and Eng., Nagoya Univ.

• KOJIMA Yuka

  Dept. of Mech. Sci. and Eng., Nagoya Univ.

• KIMURA Hidehiko

  EcoTopia Sci. Inst., Nagoya Univ.

• MARUKO Keisuke

  Dept. of Mech. Sci. and Eng., Nagoya Univ.

Bibliographic Information

Other Title

• 侵入深さ一定法による表面強加工材の残留応力分布の予測
• シンニュウ フカサ イッテイホウ ニ ヨル ヒョウメン キョウカコウザイ ノ ザンリュウ オウリョク ブンプ ノ ヨソク

Abstract

The residual stress distribution below the specimen surface of a severe surface deformed medium carbon steel was investigated nondestructively by using high-energy X-rays from a synchrotron radiation source. The carbon steel plate was shot-peened with fine cast iron particles of the size of 50μm. By using the monochromatic X-ray beam with three energy levels of 10, 30 and 72keV, the stress values at the arbitrary depth were measured by the constant penetration depth method. The stress was calculated from the slope of the sin²ψ diagram. Measured stress corresponds to the weighted average associated with the attenuation of the X-rays in the material. The real stress distribution was estimated by using the optimization technique. The stress distribution was assumed by the polynomials with the order from the first to the third in the near surface layer and the second order polynomial in the deeper region. The coefficients of the polynomials were determined by the conjugate gradient iteration. The predicted stress distribution agreed very well with that measured by the conventional surface removal method.

Journal

• Journal of the Society of Materials Science, Japan

  Journal of the Society of Materials Science, Japan 57 (7), 660-666, 2008

  The Society of Materials Science, Japan

Keywords

• Residual stress
• X-ray
• Synchrotron radiation
• Penetration depth
• Constant penetration depth method
• Severe deformed steel
• Nanocrystalline surface layer
• Optimization method

Details

• CRID: 1390282680395237888
• NII Article ID: 130002085655
• NII Book ID: AN00096175
• DOI: 10.2472/jsms.57.660
• COI: 1:CAS:528:DC%2BD1cXpvVWhsLk%3D
• ISSN: 18807488
• ISSN: 05145163
• NDL BIB ID: 9584707
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I9584707
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed