Dislocation distribution and prediction of fatigue damage

Pangborn, Robert N.; Weissmann, S.; Kramer, I. R.

doi:10.1007/bf02648515

Cited by 82 publications

(16 citation statements)

References 19 publications

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“…Pangborn et al [35] studied the dislocation distribution of fatigued specimen (such as AI 2024-T3) using X-ray double-crystal diffractometry. In all cases they noted that there is an excess dislocation density near the surface of the material followed by a trough at roughly l00flm depth after which the density increases again, but to a level that is not as high as at the surface.…”

Section: X-ray Techniquesmentioning

confidence: 99%

Fatigue Damage and Its Nondestructive Evaluation: An Overview

Buck

1998

Review of Progress in Quantitative Nondestructive Evaluation

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Section: X-ray Techniquesmentioning

confidence: 99%

Fatigue Damage and Its Nondestructive Evaluation: An Overview

Buck

1998

Review of Progress in Quantitative Nondestructive Evaluation

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“…A reliable and practical means of predicting failure due to fatigue has recently been demonstrated (Pangborn, Weissmann & Kramer, 1981). In the present experiments a commercial aluminum alloy, AI 2024-T4, was fatigued (R = -1) in air at 80% of yield and analyzed at various fractions of the number of cycles to failure.…”

Section: Statistical Determination Of Overall Structural Integritymentioning

confidence: 99%

“…It is this local lattice rotation and induced curvature in grains which CARCA can measure quantitatively. Hence the method can be instrumental in elucidating the various stages of the deformation processes and even predict catastrophic failure (Pangborn et al, 1981;Mayo, 1982;Takemoto, 1982;Yazici, 1982). …”

Section: Isolation Of Regions Of Intense Deformationmentioning

confidence: 99%

“…Although the method soon found widespread application in imperfection studies of single crystals, it was not until 1951 that DCD was first employed to investigate the lattice defects in polycrystalline materials (Reis, Slade & Weissmann, 1951). Subsequently, DCD has been successfully used over the past few decades to study minute changes in the defect structure of polycrystalline metallic samples (Slade & Weissmann, 1952;Intrater & Weissmann, 1954;Weissmann, 1961;Garofalo, Zwell, Keh & Weissmann, 1961;Weissmann, Imura & Hosokawa, 1963;Hida & Weissmann, 1975;Weissmann, Yazici, Takemoto, Tsakalakos & Kramer, 1979;Takemoto, Weissmann & Kramer, 1980;Pangborn, Weissmann & Kramer, 1981). The method is particularly useful when the amount of deformation is not too excessive and when the substructure of the material can be related to its properties.…”

Section: Introductionmentioning

confidence: 99%

“…The study of the recrystallization behavior of cold-rolled low-carbon alloy steel (Slade & Weissmann, 1952) and aluminum (Weissmann, 1961;Weissmann, Imura & Hosokawa, 1963), the substructure formation in iron during creep (Garofalo, Zwell, Keh & Weissmann, 1961), and particle-dislocation interaction in age-hardened Ti-AI-Mo alloys (Hida & Weissmann, 1975) are examples of the diverse applications of the doublecrystal method. More recently, the method has been utilized as a non-destructive tool to predict the onset of fatigue failure in an aluminum alloy in both noncorrosive (Pangborn, Weissmann & Kramer, 1981) and corrosive (Takemoto, Weissmann & Kramer, 1980) environments, and to study stresscorrosion cracking in austenitic stainless steel (Weissmann, Yazici, Takemoto, Tsakalakos & Kramer, 1979).…”

Section: Introductionmentioning

confidence: 99%

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Defect structure analysis of polycrystalline materials by computer-controlled double-crystal diffractometer with position-sensitive detector

Yazici¹,

Mayo²,

Takemoto³

et al. 1983

J Appl Cryst

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The method represents an extension of a previously developed X-ray double-crystal diffractometer method when a film was used to record the crystallite reflections, each reflecting crystallite being regarded as the second crystal of a double-crystal diffractometer. By utilizing a position-sensitive detector (PSD) with interactive computer controls, the tedious and limiting task of data acquisition and analysis is greatly simplified. The specimen is irradiated with crystalmonochromated radiation and the numerous microscopic spots emanating from the reflecting crystallites are recorded separately by the position-sensitive detector and its associated multichannel analyzer at each increment of specimen rotation. An on-line minicomputer simultaneously collects these data and applies the necessary corrections. This process is then automaticaIly repeated through the full rocking-curve range. The computer carries out the rocking-curve analysis of the individual crystallite reflections as well as that of the entire reflecting crystallite population. The instrument is provided with a specimen translation device which permits analysis of large sections of solid specimens. Thus, sites of local lattice defects induced either mechanically, chemically or by radiation can rapidly be established and quantitatively determined in terms of rocking-curve parameters as well as imaged by X-ray topography, by inserting a film in front of the PSD. The versatility and usefulness of the method is demonstrated by examples given from studies of fracture, fatigue and stress-corrosion cracking of commercial alloys.

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Fatigue Life Prediction of S235 Details Based on Dislocation Density

Pedrosa,

Correia,

Gripp

et al. 2023

ce papers

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Global approaches have been the main procedure to design structural details and components under fatigue loading. This procedure is easy to apply but it disregards not only the effect of the material type but also the influence of the geometry in complex components. On the other hand, local approaches rely on the specific local damage parameters that can be assessed for each type of material and detail geometry. The parameters derived from low cycle fatigue (LCF) tests are the most common damage parameters used to predict the fatigue life and establish reliable fatigue design approaches. Recently, Huffman proposed a fatigue damage model based on strain energy density and on the dislocation density of the material. In this regard, S235 was selected to perform a metallographic and mechanical assessment aiming to define the dislocation density of the material and to describe the fatigue behavior using the Huffman damage model. Additionally, fatigue tests on structural details (plate with hole) were conducted and results were compared with fatigue life predictions based on Huffman local approach. It was found that Huffman model based on dislocation density is a reliable approach to predict the fatigue life of structural steel details.

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Dislocation distribution and prediction of fatigue damage

Cited by 82 publications

References 19 publications

Fatigue Damage and Its Nondestructive Evaluation: An Overview

Fatigue Damage and Its Nondestructive Evaluation: An Overview

Defect structure analysis of polycrystalline materials by computer-controlled double-crystal diffractometer with position-sensitive detector

Fatigue Life Prediction of S235 Details Based on Dislocation Density

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