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lifetime prediction

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Published: 01 August 2018
Fig. 18 Methodology of lifetime prediction for metal parts undergoing cyclic fatigue. Source: Ref 5 More
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
... Abstract The lifetime assessment of polymeric products is complicated, and if the methodology utilized leads to inaccurate predictions, the mistakes could lead to financial loss as well as potential loss of life, depending on the service application of the product. This article provides...
Series: ASM Handbook
Volume: 19
Publisher: ASM International
Published: 01 January 1996
DOI: 10.31399/asm.hb.v19.a0002419
EISBN: 978-1-62708-193-1
... Abstract This article discusses the fracture behavior of silicate glasses, more specifically, soda-lime-silicate glass, borosilicate glass and vitreous silica. It analyzes the testing and calculation of dynamic fatigue and slow-crack-growth for lifetime prediction of glasses. The article...
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Published: 31 October 2011
Fig. 19 Predicted accumulation of creep damage in the heat-affected zone of a chromium-molybdenum steel using constitutive equations as a function of service lifetime. Source: Ref 192 More
Image
Published: 01 November 2010
Fig. 19 Predicted accumulation of creep damage in the heat-affected zone of a chromium-molybdenum steel using constitutive equations as a function of service lifetime. Source: Ref 192 More
Series: ASM Handbook
Volume: 23
Publisher: ASM International
Published: 01 June 2012
DOI: 10.31399/asm.hb.v23.a0005658
EISBN: 978-1-62708-198-6
... of Nitinol and the stress-induced phase transformations limit the usefulness of traditional lifetime predictive tools. The combination of these two factors has caused fractures to become an all too commonplace phenomenon. Deriving meaningful and broadly applicable rules and guidelines for lifetime...
Series: ASM Handbook
Volume: 19
Publisher: ASM International
Published: 01 January 1996
DOI: 10.31399/asm.hb.v19.a0002369
EISBN: 978-1-62708-193-1
.... If all the other inputs to the calculation are known perfectly (are not random), the outcome is a prediction of a lifetime at which less than the specified percentage of parts will have failed. It is rare that all the nonmaterial inputs (loads, stress concentrations, etc.) are known perfectly...
Series: ASM Handbook
Volume: 11B
Publisher: ASM International
Published: 15 May 2022
DOI: 10.31399/asm.hb.v11B.a0006940
EISBN: 978-1-62708-395-9
.... Therefore, a sizable portion of the mechanical work done is converted into heat, because of their low thermal conductivity that complicates the analysis of fatigue data, particularly at rapid frequencies or strain rates. The traditional approach to fatigue lifetime prediction according to Wöhler ( Ref 1...
Series: ASM Handbook
Volume: 20
Publisher: ASM International
Published: 01 January 1997
DOI: 10.31399/asm.hb.v20.a0002477
EISBN: 978-1-62708-194-8
... An understanding of the deformation and fracture behavior of plastics subjected to cyclic loading is needed to predict the lifetime of structures fabricated from thermoplastics. This fatigue behavior is of concern because failure at fluctuating load levels can occur at much lower levels than failure under...
Series: ASM Handbook
Volume: 11B
Publisher: ASM International
Published: 15 May 2022
DOI: 10.31399/asm.hb.v11B.a0006909
EISBN: 978-1-62708-395-9
... degradation processes (e.g., thermooxidation); mass is measured as a function of time at constant temperature. Service Life Prediction The Arrhenius equation, which describes the relation between rate of reaction and temperature, is one of the best-known models for assessing the lifetime of polymers...
Series: ASM Handbook
Volume: 20
Publisher: ASM International
Published: 01 January 1997
DOI: 10.31399/asm.hb.v20.a0002476
EISBN: 978-1-62708-194-8
... for tensile strength. It reviews life prediction reliability models used for predicting the life of a component with complex geometry and loading. The article outlines reliability algorithms and presents several applications to illustrate the utilization of these reliability algorithms in structural...
Series: ASM Handbook
Volume: 20
Publisher: ASM International
Published: 01 January 1997
DOI: 10.31399/asm.hb.v20.a0002469
EISBN: 978-1-62708-194-8
... of deformation behavior and concludes with a discussion on lifetime analysis based on a strain approach. crack propagation deformation fatigue failure fatigue resistance fatigue strength high-cycle fatigue low-cycle fatigue multiaxial fatigue stress concentration tensile strength FATIGUE...
Series: ASM Handbook
Volume: 1
Publisher: ASM International
Published: 01 January 1990
DOI: 10.31399/asm.hb.v01.a0001038
EISBN: 978-1-62708-161-0
... that cracks often develop early in the fatigue life of the material (after as little as 10% of total lifetime) and grow continuously until catastrophic failure occurs. This discovery has led to the use of crack growth rate, critical crack size, and fracture mechanics for the prediction of total life in some...
Series: ASM Handbook
Volume: 8
Publisher: ASM International
Published: 01 January 2000
DOI: 10.31399/asm.hb.v08.a0003319
EISBN: 978-1-62708-176-4
... that it is independent of the environment chemistry. Conceptually, the maximum fracture resistance of the material has been reached. Lifetime predictions are quite sensitive to the form of the crack growth law used to relate crack velocity, ν = da / dt , and applied stress-intensity factor, K I ( Ref 41 , 42...
Series: ASM Handbook
Volume: 13C
Publisher: ASM International
Published: 01 January 2006
DOI: 10.31399/asm.hb.v13c.a0004162
EISBN: 978-1-62708-184-9
... corrosion,’ whatever that might be” ( Ref 2 ). On the other hand, the economic importance of lifetime prediction, improved understanding of corrosion mechanisms, and the development of advanced material characterization tools have contributed to the continued scientific pursuit of corrosion forecasting...
Series: ASM Handbook
Volume: 11B
Publisher: ASM International
Published: 15 May 2022
DOI: 10.31399/asm.hb.v11B.a0006934
EISBN: 978-1-62708-395-9
... or a combination of the previous creep equations holds for the lifetime of the structure under stress, then the dimensional changes in the structure are predictable. However, there is also the possibility of a more catastrophic type of creep failure, in which there is a sudden onset of large-scale yielding...
Series: ASM Handbook
Volume: 19
Publisher: ASM International
Published: 01 January 1996
DOI: 10.31399/asm.hb.v19.a0002364
EISBN: 978-1-62708-193-1
... and methods for predicting fatigue crack initiation lifetimes. It should be noted, however, that the techniques outlined in this article are not “the only” or “the best” way to approach an engineering solution to materials selection or the lifetime prediction of materials in design. Other techniques and more...
Series: ASM Handbook
Volume: 19
Publisher: ASM International
Published: 01 January 1996
DOI: 10.31399/asm.hb.v19.a0002363
EISBN: 978-1-62708-193-1
... be used for detecting crack initiation as well as for measuring the propagation rate in the laboratory. If proper calibration is established, this method can be used for predicting residual life as well. This can be used for room-temperature applications as well as high-temperature applications. Typically...
Series: ASM Handbook
Volume: 21
Publisher: ASM International
Published: 01 January 2001
DOI: 10.31399/asm.hb.v21.a0003386
EISBN: 978-1-62708-195-5
.... The frequency of these inspections is based on the analytically predicted life of critical airframe components. This article addresses the issue of the implementation of composite damage tolerance requirements as it relates to military aircraft. The issue of damage tolerance is applicable to other aircraft...
Series: ASM Handbook
Volume: 13C
Publisher: ASM International
Published: 01 January 2006
DOI: 10.31399/asm.hb.v13c.a0004128
EISBN: 978-1-62708-184-9
... in these aircraft, the management of its effects on their structural integrity has received only limited attention principally due to the difficulty of quantitatively predicting the future effects of corrosion. The effect of corrosion can be addressed by its superimposition on the methods presently used...