You are being redirected because this document is part of your ASTM Compass® subscription.
    This document is part of your ASTM Compass® subscription.


    Issues Related to Prediction of Residual Stresses in Titanium Alloy Matrix Composites

    Published: 0

      Format Pages Price  
    PDF (324K) 17 $25   ADD TO CART
    Complete Source PDF (16M) 620 $186   ADD TO CART

    Cite this document

    X Add email address send
      .RIS For RefWorks, EndNote, ProCite, Reference Manager, Zoteo, and many others.   .DOCX For Microsoft Word


    Recently, a detailed study of residual stresses on the as-processed SCS-6/Ti-24Al-11Nb [0]8 composite, and SCS-6/Beta-21S composites in unidirectional [0]4, cross-ply [0/90]s, and quasi-isotropic [0/±45/90]s layups has been completed. In this study, residual stresses have been measured using X-ray diffraction (sin2ψ) technique. We have shown that the use of conventional unit cell models consisting of a quarter fiber surrounded by the matrix material to predict residual stresses for verification of experimental results is inadequate. Such models have predicted successfully the stresses at the fiber-matrix interface. However, experimental work to measure residual stresses have always been on surfaces far away from the interface region.

    In this paper, the approach taken in extending the conventional unit cell model to the concept of multifiber models to predict average stresses are presented. In this process, several modeling issues have been identified. These issues are (1) use of conventional unit models for prediction of average surface residual stresses, (2) effect of orientation of the sub-surface plies on the residual stresses in the surface ply, (3) residual stresses in the interior plies, and (4) constituent material properties.


    residual stress, finite element models, material removal effects, metal matrix composites, X-ray stress measurements, titanium matrix composites, coefficient of thermal expansion mismatch, titanium, life prediction, titanium alloys, fatigue (materials), modeling

    Author Information:

    Rangaswamy, P
    Los Alamos National Laboratory, Los Alamos, NM

    Jayaraman, N
    University of Cincinnati, Cincinnati, OH

    Committee/Subcommittee: D30.04

    DOI: 10.1520/STP18219S