Journal of Materials Science

, Volume 42, Issue 3, pp 759–762 | Cite as

Thermal residual stresses in particulate composites and its toughening effect

  • Zhong Ling
  • Yong-Li WuEmail author


In this paper, an accurate formula for calculating the thermal residual stress field in a particle-reinforced composite are presented. Numerical examples are given to show r-variations of the thermal residual stresses. The increase in fracture toughness of matrix predicted by the thermal residual stress field is compared well with the experimentally measured increase.


Residual Stress Fracture Toughness Stress Intensity Factor Residual Stress Distribution Thermal Residual Stress 
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  1. 1.
    Selsing G (1961) J Am Ceram Soc 44:491CrossRefGoogle Scholar
  2. 2.
    Wei GC, Becher PF (1984) J Am Ceram Soc 67:571CrossRefGoogle Scholar
  3. 3.
    Virkar AV, Johnson DL (1977) J Am Ceram Soc 60:514CrossRefGoogle Scholar
  4. 4.
    Cutler RA, Virkar AV (1985) J Mater Soc 20:3557CrossRefGoogle Scholar
  5. 5.
    Evans AG, Houer AH, Porter DL (1977) The Fracture Toughness of Ceramics, Proc. Int. Conf. Fract. 4th., p 529Google Scholar
  6. 6.
    Tada H, Paris PC, Irwin GR (1973) The Stress Analysis of Cracks Handbook; Del. Research Corp., Hellertown, PAGoogle Scholar
  7. 7.
    Taya M, Hayashi S, Kobayashi AS, Yoon HS (1990) J Am Ceram Soc 73:1382CrossRefGoogle Scholar
  8. 8.
    Mori T, Tanakas K (1973) Acta Metall 21:571CrossRefGoogle Scholar
  9. 9.
    Hanshin Z (1962) J Appl Mech 29:143CrossRefGoogle Scholar
  10. 10.
    Timosheko S, Goodier JW (1951) Theory of elasticity, 2nd edn. McGraw Hill, New YorkGoogle Scholar
  11. 11.
    Christensen RM, Lo KH (1979) J Mech Phys Solids 27:315CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  1. 1.State Key LNMInstitute of MechanicsBeijingChina

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