4 edition of Influences of Interface and Dislocation Behavior on Microstructure Evolution found in the catalog.
by Materials Research Society
Written in English
|Contributions||Mark Aindow (Editor), Mark D. Asta (Editor), Michael V. Glasov (Editor), Douglas L. Medlin (Editor), A. D. Rollett (Editor), Michael Zaiser (Editor)|
|The Physical Object|
|Number of Pages||336|
Books. Publishing Support. Login. Li L X, Wang G, Liu J and Yao Z Q Flow softening behavior and microstructure evolution of Al-5Zn-2Mg aluminum alloy during dynamic recovery[J] Bergstrom Y A dislocation model for the stress-strain behavior Cited by: 1. Cu precipitation on dislocation and interface in quench-aged steel - Volume 2 Issue 4 - Qingdong Liu, Shijin Zhao Effect of Multistage Heat Treatment on Microstructure and Mechanical Properties of High-Strength Low-Alloy Steel. Metallurgical and Materials Transactions A, Vol. 47, Issue. 5, p. Influence of Ni on Cu precipitation in Cited by:
The mechanism of dislocation-interface reactions can be very complicated in materials with a complex interfacial microstructure. For example, in our group, the recent atomistic simulations show that dislocations pile up at a GB, but are absorbed by a triple GB junctions (movies as shown on the right). The book takes a look at misfit dislocation generation mechanisms in heterostructures and evolution of dislocation structure on the interfaces associated with diffusionless phase transitions. Discussions focus on dislocation representation of a wall of elastic domains; equation of equilibrium of an elastic domain; transformation of dislocations Book Edition: 1.
The mathematical descriptions developed to model the material behavior of the workpiece in the unit process (i.e., the constitutive models) typically do not include the influence of microstructural evolution, although recent efforts have begun to consider the evolving microstructure of the workpiece. The DTL is the first discontinuity within the microstructure and therefore decisive for further microstructure evolution interface, dislocation and influence the way dislocation Author: C. Haug, F. Ruebeling, A. Kashiwar, A. Kashiwar, P. Gumbsch, P. Gumbsch, C. Kübel, C. Kübel, C. Grei.
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Of Interface and Dislocation Behavior on Microstructure Evolution Editors: Mark Aindow, Mark D. Asta, Michael V. Glazov, Douglas L.
Medlin, Anthony D. Rollett and Michael ZaiserFile Size: KB. Proceedings of the Symposium dedicated to " Influences of Interface and Dislocation Behavior on Microstructure Evolution", edited by Aindow, Asta, Glazov, et al. Discover the world's research Get this from a library.
Influences of interface and dislocation behavior on microstructure evolution: symposium held November, Boston, Massachusetts, U.S.A. [Mark Aindow; et al]. Abstract: When metals are plastically deformed, the total density of dislocations increases with strain as the microstructure is continuously refined, leading to the strain hardening behavior.
Here we report the fundamental role played by the junction formation process in the connection between dislocation microstructure evolution and the strain hardening rate in face-centered cubic (FCC) Cu Cited by: In this paper we quantitatively investigated the influences of the two pre-treatments, namely pre-stretching and NA, on the microstructural evolution and the corresponding mechanical properties of a typical Al–Cu–Li–Mg–Ag alloy during artificial ageing, and the associated mechanisms were discussed in detail and : Xiao-Ming Wang, Wen-Zhu Shao, Jian-Tang Jiang, Guo-Ai Li, Xiao-Ya Wang, Liang Zhen.
In the present paper, the microstructure evolution of the LDX during hot compression at a strain rate of 5 s-1 and °C was studied by electron backscatter diffraction (EBSD) together with. Dislocation loops have a bias for interstitials and thus have a strong impact on the development of the irradiated microstructure.
They also influence the deformation behavior and, consequently, the ductility and hardening of irradiated materials, as will be discussed in Chap. In this chapter, we will review the origin and character of. Atomistic dislocation models were used to determine the properties of dislocation core fields in Al using an EAM potential.
Equilibrium atom configurations were compared with initial configurations displaced according to the Volterra field to determine core displacement fields for edge, screw, and mixed (60° and 30°) by: 1.
The effect of the loading rate on the evolution of the dislocation density ρ has been calculated from H n a n o for the lamellar regime, because the dislocation activity in the lamellae influences plastic deformation of the EHECs (Liu et al., ).Cited by: 7.
It is implicit in the description of dislocation behavior presented in preceding sections that dislocation movement, usually under the influence of an externally-applied load, results in plastic strain.
This is in addition to the elastic strain, which is simply related to the external stress by Hooke’s law (Chapter 4). Microstructural evolution in various zones of welds of Al–Cu–Li alloys is greatly influenced by the choice of initial temper of the material.
Fig. shows the hardness maps of weld cross-sections of Al–Cu–Li alloy in peak aged (Fig. A) and underaged (Fig. B) tempers. This paper aims at investigating the change in material behavior induced by microstructure evolution during high-speed machining processes.
Recently, high-speed machining has attracted quite a lot of interest from researchers due to its high efficiency and surface quality in machining large-scale components.
However, the material behavior could change significantly at high-cutting speeds Cited by: 1. Results show that the high stress of bonding interface was caused by ultrasonic vibration, which increased the dislocation density inside the metal crystalline lattice which provides the fast.
The microstructure evolution, movement of dislocations, formation of the dislocation networks and dislocation configuration for the alloy during the creep process were investigated by scanning.
The present studies focus on mechanical properties and microstructure evolution of a FeMn dual phase alloy during tensile deformation based on the analyses of X-ray diffraction, electron back.
Tailoring the surface properties of a material for low friction and little wear has long been a goal of tribological research. Since the microstructure of the material under the contact strongly influences tribological performance, the ability to control this microstructure is thereby of key importance.
However, there is a significant lack of knowledge about the elementary mechanisms of Cited by: Liu, K. et al. Influence of Zn content on the microstructure and mechanical properties of extruded Mg–5Y–4Gd–Zr alloy.
Alloys Compd. – ().Cited by: Computational Materials Engineering is an advanced introduction to the computer-aided modeling of essential material properties and behavior, including the physical, thermal and chemical parameters, as well as the mathematical tools used to perform simulations.
Its emphasis will be on crystalline materials, which includes all metals. Ni-base single-crystal superalloys exhibit a dynamic evolution of their microstructure during operation at elevated temperatures.
The rafting of γ' precipitates changes the mechanical behavior in a way that was understood this work, we combine a phase-field method with a discrete dislocation dynamics model to clarify the influence of different rafted microstructures Author: Siwen Gao, Muhammad Adil Ali, Alexander Hartmaier.
The evolution behavior of damaged W under high-flux D plasma exposure is also investigated. The density of dislocation loop decreases and diameter increases in dpa W when the exposure temperature rises from K to K, indicating the growth and aggregation of dislocation Author: Wangguo Guo, Shiwei Wang, Lin Ge, Engang Fu, Yue Yuan, Long Cheng, Guang-Hong Lu.
CiteScore: ℹ CiteScore: CiteScore measures the average citations received per document published in this title. CiteScore values are based on citation counts in a given year (e.g. ) to documents published in three previous calendar years (e.g. – 14), divided by the number of documents in these three previous years (e.g.