Methodologies for Predicting the Thermomechanical Fatigue Life of Unidirectional Metal Matrix Composites

Methodologies for Predicting the Thermomechanical Fatigue Life of Unidirectional Metal Matrix Composites
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Total Pages : 23
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ISBN-10 : OCLC:1251658824
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Book Synopsis Methodologies for Predicting the Thermomechanical Fatigue Life of Unidirectional Metal Matrix Composites by : RW. Neu

Download or read book Methodologies for Predicting the Thermomechanical Fatigue Life of Unidirectional Metal Matrix Composites written by RW. Neu and published by . This book was released on 1996 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parameters and models to correlate the cycles to failure of a unidirectional metal matrix composite (SCS-6/Timetal 21S) undergoing thermal and mechanical loading are examined. Three different cycle types are considered: out-of-phase thermomechanical fatigue (TMF), in-phase TMF, and isothermal fatigue. A single parameter based on either the fiber or matrix behavior is shown not to correlate the cycles to failure of all the data. Two prediction methods are presented that assume that life may be dependent on at least two fatigue damage mechanisms and therefore consist of two terms. The first method, the linear life fraction model, shows that by using the response of the constituents, the life of these different cycle types are better correlated using two simple empirical relationships: one describing the fatigue damage in the matrix and the other fiber-dominated damage. The second method, the dominant damage model, is more complex but additionally brings in the effect of the environment. This latter method improves the predictions of the effects of the maximum temperature, temperature range, and frequency, especially under out-of-phase TMF and isothermal fatigue. The steady-state response of the constituents is determined using a 1-D micromechanics model with viscoplasticity. The residual stresses due to the CTE mismatch between the fiber and matrix during processing are included in the analysis.


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