Characterization of precipitation in Al–Mg–Cu alloys by X-ray diffraction peak broadening analysis

Novelo-Peralta, O.; González, Gonzalo; Lara-Rodríguez, G.A.

doi:10.1016/j.matchar.2007.06.012

Cited by 35 publications

(11 citation statements)

References 22 publications

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“…4b). This feature of the diffraction pattern for the ageing-induced matrix has also been observed in some age-hardenable alloy systems, such as the Cu-Be-Co alloy [9], the iron alloy [10], and the Al-Mg-Cu alloys [11], because the coherent precipitates can produce zones of severe distortion in the matrix surrounding them, which have been observed in Fig. 3a corresponding to the stress fields surrounding precipitates.…”

Section: Microstructure Analysissupporting

confidence: 62%

A novel Cu–Ni–Zn–Al alloy with high strength through precipitation hardening

Zhou

2010

Materials Science and Engineering: A

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Section: Microstructure Analysissupporting

confidence: 62%

A novel Cu–Ni–Zn–Al alloy with high strength through precipitation hardening

Zhou

2010

Materials Science and Engineering: A

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“…Essentially the tempering of martensite to form ferrite and iron carbide causes tension in the microstructure due to the lattice spacing decreasing with the precipitation of the iron carbide. 22 No further microstructure changes occur and as such, the stress transitions back to compressive to balance the tensile stress in the center of the wedge. Due to the layered nature of the wedge construction, the stress in plane is largely unaffected by the metallurgical transformations and therefore the changes in residual stress occur in the N direction and not the L and T directions, Fig.…”

Section: Methodsmentioning

confidence: 99%

Characterization of microstructure and residual stress in a 3D H13 tool steel component produced by additive manufacturing

2014

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H13 tool steel was deposited using the additive manufacturing technique Direct Metal Deposition to produce a part having a wedge geometry. The wedge was characterized both in terms of microstructure and residual stress. It was found that phase transformations were significantly influencing the microstructure, which was then linked to the residual stress distribution as seen in Fig. 8. The residual stress distribution was found to be opposite to that reported in the literature. This was attributed to the low temperature martensitic phase transformation of the H13 tool steel and the subsequent tempering of the microstructure with an increasing number of layers of deposited material. The high hardness and compressive residual stress of the top 4 mm of the wedge are ideal in die casting and forging dies, as it will resist thermal fatigue. It also has a hardness higher than that produced by typical heat treatment processes.

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“…Changes in microstrain have been observed while characterizing precipitation in Al-Mg-Cu alloys by X-ray peak broadening analysis. [29] Vasudevan et al [3] have shown that precipitates with size less than 10 nm would be coherent, while larger ones become semicoherent. They also reported the presence of 5-nm-wide and 22-nm-long precipitates after 3 hours of aging in C-250 steel, and these precipitates grow to rods of diameter 50 nm and 380-nm length after 50 hours.…”

Section: Xrd Measurements and Analysismentioning

confidence: 99%

X-Ray Diffraction Profile Analysis for Characterizing Isothermal Aging Behavior of M250 Grade Maraging Steel

Mahadevan

Jayakumar

Rao

et al. 2008

Metall Mater Trans A

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X-ray diffraction (XRD) studies were carried out to characterize aging behavior of M250 grade maraging steel samples subjected to isothermal aging at 755 K for varying durations of 0.25, 1, 3, 10, 40, 70, and 100 hours. Earlier studies had shown typical features of precipitation hardening, wherein the hardness increased to a peak value due to precipitation of intermetallics and decreased upon further aging (overaging) due to reversion of martensite to austenite. Intermetallic precipitates, while coherent, are expected to increase the microstrain in the matrix. Hence, an attempt has been made in the present study to understand the microstructural changes in these samples using XRD line profile analysis. The anisotropic broadening with diffraction angle observed in the simple Williamson-Hall (WH) plot has been addressed using the modified WH (mWH) approach, which takes into account the contrast caused by dislocations on line profiles, leading to new scaling factors in the WH plot. The normalized mean square strain and crystallite size estimated from mWH have been used to infer early precipitation and to characterize aging behavior. The normalized mean square strain has been used to determine the Avrami exponent in the Johnson-Mehl-Avrami (JMA) equation, which deals with the kinetics of precipitation. The Avrami exponent thus determined has matched well with values found by other methods, as reported in literature.

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Characterization of precipitation in Al–Mg–Cu alloys by X-ray diffraction peak broadening analysis

Cited by 35 publications

References 22 publications

A novel Cu–Ni–Zn–Al alloy with high strength through precipitation hardening

A novel Cu–Ni–Zn–Al alloy with high strength through precipitation hardening

Characterization of microstructure and residual stress in a 3D H13 tool steel component produced by additive manufacturing

X-Ray Diffraction Profile Analysis for Characterizing Isothermal Aging Behavior of M250 Grade Maraging Steel

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