Direction of grain-boundary migration in the weld metal of an austenitic stainless steel

Shibata, Shinichi; Watanabe, T.

doi:10.1007/s11661-999-0053-5

Cited by 3 publications

(2 citation statements)

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“…10 More research works were concentrated upon the mathematical simulation for the grain growth and grain boundary migration around the fusion boundary. [11][12][13] Obviously, it is very important to realise the crystallographic orientation relationship between grains in HAZ and weld pool at the fusion boundary, which will help to further understand the failure mechanism of the welded joints and property variation between the base metal and weld metal.…”

Section: Introductionmentioning

confidence: 99%

EBSD study of solidification characteristics of austenitic stainless steel weld pool

Huang

Pan

2010

Materials Science and Technology

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This present paper studied the solidification characteristics of a high Fe-Cr-Ni austenitic stainless steel weld pool using an EBSD system. The results revealed that the crystallography of the weld metal grains was affected by both the heat affected zone (HAZ) base metal grains at the fusion boundary and the thermal condition in weld pool. It exhibited an orientation relationship of ,100. // ,100. and {100} // {100} between the HAZ base metal and weld metal along the fusion boundary, which was resulted from the epitaxial growth in the weld pool. Additionally, a high fibre texture ,100. toward the weld centreline was determined by the effect of the competitive mechanism at the beginning of the weld solidification.

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Section: Introductionmentioning

confidence: 99%

EBSD study of solidification characteristics of austenitic stainless steel weld pool

Huang

Pan

2010

Materials Science and Technology

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“…Information on SGBM scattered in the literature since 1961 provides the following basic understanding: (i) SGBM occurs near the solidus temperature (T solidus ) of the alloy 9 , 21 , 22 , 25 , 33 ; (ii) the strain generated during cooling after solidification has a minor or negligible influence based on experiments using specially designed samples 20 − this clarifies an important concern about the underlying mechanism; (iii) tortuous or irregular SGBs are apt to migrate 20 , 34 , but SGBM is not due to grain growth 34 ; and (iv) the main driving force for SGBM is the reduction in the total GB energy 18 , 21 , 25 , 35 , and the GB triple junctions approach equilibrium (straight GBs in 120°–120°–120°) after SGBM 18 . However, compared to the GBM in recrystallisation or grain growth, the fundamental factors affecting SGBM, including alloy composition (solute type and content), cooling rate, solidification characteristics and grain size, remain essentially unexplored.…”

Section: Introductionmentioning

confidence: 99%

Migration of solidification grain boundaries and prediction

Zhang

et al. 2022

Nat Commun

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Solidification processing is essential to the manufacture of various metal products, including additive manufacturing. Solidification grain boundaries (SGBs) result from the solidification of the last liquid film between two abutting grains of different orientations. They can migrate, but unlike normal GB migration, SGB migration (SGBM) decouples SGBs from solidification microsegregation, further affecting material properties. Here, we first show the salient features of SGBM in magnesium-tin alloys solidified with cooling rates of 8−1690 °C/s. A theoretical model is then developed for SGBM in dilute binary alloys, focusing on the effect of solute type and content, and applied to 10 alloy systems with remarkable agreement. SGMB does not depend on cooling rate or time but relates to grain size. It tends to occur athermally. The findings of this study extend perspectives on solidification grain structure formation and control for improved performance (e.g. hot or liquation cracking during reheating, intergranular corrosion or fracture).

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Don’t Trust your Simulation -Computational Materials Science on its Way to Maturity?

Raabe

2002

Adv. Eng. Mater.

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A Model is a Model is a ModelThe title of this article is of course meant to provoke. Why? Because a menace of confusing models with reality always exists. Does anyone nowadays refer to ªfirst principles simulationsº? This point is well taken. However, practically all of the current predictions in this domain are based on simulating electron dynamics using local density functional theory. These simulations, though providing a deep insight into materials ground states, are not exact but approximate solutions of the Schrödinger equation, whichÐwe should not forgetÐis a model itself. [1] Does anyone still refer to ªfinite-element simulationsº? This point is also well taken. However, also in this case one has to admit that approximate solutions to large sets of nonlinear differential equations formulated for a (non-existing) continuum under idealized boundary conditions is what it is: a model of nature but not reality.But let us calm down and render the discussion a bit more seriousness: current methods of ground-state calculations are definitely among the cutting-edge disciplines in computational materials science and the community has learnt much from it during the last years. Similar aspects apply for some continuum-based finite-element simulations. After all, this article is meant to attract readers into this exciting field and not to repulse them. And for this reason I feel obliged to first make a point in underscoring that any interpretation of a research result obtained by computer simulation should be ac-companied by scrutinizing the model ingredients and boundary conditions of that calculation in the same critical way as an experimentalist would check his experimental set-up.In the following I will address some important aspects of computational materials science. The selection is of course biased (more structural than functional; more metals than non-metals; more mesoscale than atomic scale). I will try to reach a balance between fundamental and applied topics. The article focuses particularly on topics and publications of 2001 and 2002. Some Semantics of Modeling and SimulationBefore continuing in medias res, let us revisit some basic thoughts on the semantics of modeling and simulation. The words modeling and simulation are often distinguished by somewhat arbitrary arguments or they are simply used synonymously. This lack of clarity reflects that concepts in computational materials science develop faster than semantics. To establish a common language in this field, a less ambiguous ADVANCED ENGINEERING MATERIALS 2002, 4, No. 5 255 ± [*] Prof.Progress reports are a new type of article in Advanced Engineering Materials, dealing with the hottest current topics, and providing readers with a critically selected overview of important progress in these fields. It is not intended that the articles be comprehensive, but rather insightful, selective, critical, opinionated, and even visionary. We have approached scientists we believe are at the very forefront of these fields to contribute the articles, which will ap...

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Direction of grain-boundary migration in the weld metal of an austenitic stainless steel

Cited by 3 publications

References 10 publications

EBSD study of solidification characteristics of austenitic stainless steel weld pool

EBSD study of solidification characteristics of austenitic stainless steel weld pool

Migration of solidification grain boundaries and prediction

Don’t Trust your Simulation -Computational Materials Science on its Way to Maturity?

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