The effect of matrix microstructure on the tensile and fatigue behavior of SiC particle-reinforced 2080 Al matrix composites |
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Authors: | N. Chawla U. Habel Y. -L. Shen C. Andres J. W. Jones J. E. Allison |
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Affiliation: | (1) Present address: Department of Materials Science and Engineering, University of Michigan, USA;(2) Department of Chemical, Bio, and Materials Engineering, Arizona State University, 85287-6006 Tempe, AZ;(3) Crucible Research Co., 15205-1022 Pittsburgh, PA;(4) the Department of Mechanical Engineering, University of New Mexico, 87131 Albuquerque, NM;(5) Jochim-Sahling-Weg 63, 22549 Hamburg, Germany;(6) the College of Engineering, University of Michigan, 48109 Ann Arbor, MI;(7) the Scientific Research Laboratory, Ford Motor Company, 48124 Dearborn, MI |
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Abstract: | The effect of matrix microstructure on the stress-controlled fatigue behavior of a 2080 Al alloy reinforced with 30 pct SiC particles was investigated. A thermomechanical heat treatment (T8) produced a fine and homogeneous distribution of S′ precipitates, while a thermal heat treatment (T6) resulted in coarser and inhomogeneously distributed S′ precipitates. The cyclic and monotonic strength, as well as the cyclic stress-strain response, were found to be significantly affected by the microstructure of the matrix. Because of the finer and more-closely spaced precipitates, the composite given the T8 treatment exhibited higher yield strengths than the T6 materials. Despite its lower yield strength, the T6 matrix composite exhibited higher fatigue resistance than the T8 matrix composite. The cyclic deformation behavior of the composites is compared to monotonic deformation behavior and is explained in terms of microstructural instabilities that cause cyclic hardening or softening. The effect of precipitate spacing and size has a significant effect on fatigue behavior and is discussed. The interactive role of matrix strength and SiC reinforcement on stress within “rogue” inclusions was quantified using a finite-element analysis (FEA) unit-cell model. |
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