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Published: 01 January 1996
Fig. 41 Principles of the strain-based life prediction model. Failure criterion: Σ( n Δε / N Δε ) = 1 (see parts c and d). (a) Load history (left graph) and strain history (right graph). (b) Material response. (c) Cycles as closed loops. (d) Material fatigue resistance. Source: Ref 80 More
Series: ASM Handbook
Volume: 13A
Publisher: ASM International
Published: 01 January 2003
DOI: 10.31399/asm.hb.v13a.a0003706
EISBN: 978-1-62708-182-5
... Abstract This article discusses corrosion fatigue, its effects on the damage tolerance of aircraft, and its predictive modeling. A conceptual framework is presented that incorporates two distinctive cyclic-based life-prediction philosophies and expands them both to include the time domain...
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Published: 01 January 2003
Fig. 14 Correlation of corrosion fatigue prediction (pit-as-crack) model and Aeronautical and Maritime Research Laboratory experimental corroded specimen results for approximately 80 corroded coupons. Pit depths measured postfracture used in the corrosion fatigue predictions, along More
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Published: 01 January 2003
Fig. 10 Lap-splice predictions. Model A: fatigue crack growth rate ( da / dN ) curve set 1, initial discontinuity state (IDS) = 84 μm (0.0033 in.); model B: da / dN curve set 1, IDS = 64 μm (0.0025 in.); model C: da / dN curve set 1, IDS = 43 μm (0.0017 in.); model D: da / dN curve set 2 More
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Published: 01 January 2003
Fig. 15 Predictive models. (a) Crack growth as a function of time and duty. MSD, multisite damage. (b) Sensitivity scenarios allow cost-effective decision making. Decisions can be made and evaluated sooner with improved detection. More
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Published: 01 January 2003
Fig. 13 Model prediction showing effect of chloride and sulfate ion on a range of stainless steels More
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Published: 01 November 2010
Fig. 53 Finite-element analysis model prediction of residual stresses for a generic turbine disk made from U720LI heat treated with (a) the supercooler method, resulting in a maximum and minimum residual stress of 551 and −473 MPa, respectively, and (b) the oil quenching method, resulting More
Series: ASM Handbook
Volume: 14A
Publisher: ASM International
Published: 01 January 2005
DOI: 10.31399/asm.hb.v14a.a0004027
EISBN: 978-1-62708-185-6
... General representation of the types of models for predicting microstructure evolution during thermomechanical processing The other major driver for modeling arises from the need to continually improve materials and processing conditions to satisfy the demands of the end-user and to maintain...
Series: ASM Handbook
Volume: 1A
Publisher: ASM International
Published: 31 August 2017
DOI: 10.31399/asm.hb.v01a.a0006314
EISBN: 978-1-62708-179-5
... predictive capabilities are continually enhanced by theoretical developments in solidification modeling, numerical methods, and the increase of computing power. A first computer model for solidification of cast iron was published in 1966 by Oldfield ( Ref 1 ), who used an innovative approach on treating...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005455
EISBN: 978-1-62708-196-2
... Abstract A computational tool would require the contribution of the strengthening mechanisms of metallic material to be predicted and then summed in an appropriate way to derive an estimate of the tensile properties. This article focuses on the modeling of deformation mechanisms pertinent...
Series: ASM Handbook
Volume: 11B
Publisher: ASM International
Published: 15 May 2022
DOI: 10.31399/asm.hb.v11B.a0006921
EISBN: 978-1-62708-395-9
... information on the common aging mechanisms of polymeric materials and the common accelerated testing methods used to obtain relevant data that are used with the prediction models that enable service life assessment. Beginning with a discussion of what constitutes a product failure, this article then reviews...
Series: ASM Handbook
Volume: 19
Publisher: ASM International
Published: 01 January 1996
DOI: 10.31399/asm.hb.v19.a0002391
EISBN: 978-1-62708-193-1
... been considered in TF and TMF research. Life prediction models and constitutive equations suited for TF and TMF are covered. The structural materials discussed include carbon steels, low-alloy steels, stainless steels, aluminum alloys, and nickel-base high-temperature alloys. The article explains crack...
Series: ASM Handbook
Volume: 8
Publisher: ASM International
Published: 01 January 2000
DOI: 10.31399/asm.hb.v08.a0003307
EISBN: 978-1-62708-176-4
... mechanics. The parameters considered for static loading are C*, C(t), C*(t), C*h, Ct, and Cst(t). For cyclic loading, the parameters are delta Jc and (Ct)avg. An overview of life-prediction models is also provided. brittle materials crack-tip parameters creep behavior creep-fatigue crack growth...
Series: ASM Handbook
Volume: 21
Publisher: ASM International
Published: 01 January 2001
DOI: 10.31399/asm.hb.v21.a0003382
EISBN: 978-1-62708-195-5
... failure of joints. This article presents an introductory discussion on the fatigue damage process, methodologies assessing fatigue behavior, and life prediction models. It describes the damage mechanisms introduced for a quasi-isotropic laminate under tension-compression fatigue loading. Delamination...
Series: ASM Handbook
Volume: 19
Publisher: ASM International
Published: 01 January 1996
DOI: 10.31399/asm.hb.v19.a0002356
EISBN: 978-1-62708-193-1
... Abstract This article summarizes fatigue phenomena in metallic materials. It discusses fatigue under variable-amplitude (VA) loading, with emphasis on crack growth. The article presents the prediction models of crack initiation and crack growth under VA loading. It concludes with a discussion...
Series: ASM Handbook
Volume: 4B
Publisher: ASM International
Published: 30 September 2014
DOI: 10.31399/asm.hb.v04b.a0005950
EISBN: 978-1-62708-166-5
... sources, drawbacks, and possible resolutions, rather than on theoretical and mathematical modeling. Most of the material presented is concentrated on the simulation of the heating, blank/through, and case hardening of low-alloy steels for prediction of heat treatment defects such as distortion, cracking...
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Published: 30 September 2015
Fig. 33 Prediction of sintered density versus temperature as modeled for a boron-doped stainless steel powder compacted to an initial relative density of 0.72 and compared with experimental data. Source: Ref 153 More
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Published: 09 June 2014
Fig. 17 Predicted temperature and hoop stress evolution in modeled elastic material at different locations during induction heating and quenching. More
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Published: 09 June 2014
Fig. 18 Predicted yield stress of modeled elastic-plastic material as a function of temperature. More
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Published: 09 June 2014
Fig. 24 DANTE modeling software predicted power density as a function of time and radial position for induction hardening of tube OD. Source: Ref 12 More