Atomistic Mechanism for Grain Boundary Migration: Molecular Dynamics Studies Hao Zhang a, David J. Srolovitz a, Jack F. Douglas b, and James A. Warren.

Slides:



Advertisements
Similar presentations
8.1: What is a Vibration?.
Advertisements

Graeme Ackland March 2010 Elasticity and Plasticity Graeme Ackland University of Edinburgh.
The Kinetic Theory of Gases
Lecture 3.
Biological fluid mechanics at the micro‐ and nanoscale Lecture 7: Atomistic Modelling Classical Molecular Dynamics Simulations of Driven Systems Anne Tanguy.
LECTURER5 Fracture Brittle Fracture Ductile Fracture Fatigue Fracture
3 – Fracture of Materials
Torque, Equilibrium, and Stability
Collective behaviour of large systems
DIFFUSIONLESS TRANSFORMATIONS
Summary of Martensite Formation Simulations June 27, 2012.
WAVES. Properties of Waves All waves carry energy from one point to another without transferring matter. As an example, when sound travels through air.
1 Relaxation and Transport in Glass-Forming Liquids Motivation (longish) Democratic motion Conclusions G. Appignanesi, J.A. Rodríguez Fries, R.A. Montani.
Determination of Grain Boundary Stiffness Hao Zhang 1, Mikhail Mendelev 1,2 and David Srolovitz 1 1 PRISM, Princeton University 2 Ames Laboratory.
Atomistic Mechanisms for Atomistic Mechanisms for Grain Boundary Migration Grain Boundary Migration  Overview of Atomistic Simulations of Grain Boundary.
Examining the crossover between the hadronic and partonic phases in QCD and the structure of sQGP Xu Mingmei( 许明梅 ), Yu Meiling( 喻梅凌 ), Liu Lianshou( 刘连寿.
Computational Materials Science Network Grain Boundary Migration Mechanism:  Tilt Boundaries Hao Zhang, David J. Srolovitz Princeton Institute for the.
Princeton University Department of Mechanical and Aerospace Engineering Stress-Driven Grain Boundary Migration Effect of Boundary Inclination on Mobility.
Halliday/Resnick/Walker Fundamentals of Physics 8th edition
MOLECULAR DYNAMICS SIMULATION OF STRESS INDUCED GRAIN BOUNDARY MIGRATION IN NICKEL Hao Zhang, Mikhail I. Mendelev, David J. Srolovitz Department of Mechanical.
Princeton Materials Institute (PMI)
Glass-Like Behavior in General Grain Boundary During Migration
TMS Annual Meeting, Orlando, Hao Zhang 1, David J. Srolovitz 1,2 1 Princeton University 2 Yeshiva University Jack F. Douglas, James A. Warren National.
CHE/ME 109 Heat Transfer in Electronics
Dependence of Grain Boundary Mobility on Boundary Plane Hao Zhang 1, Mikhail Mendelev 1,2 and David Srolovitz 1 1 PRISM, Princeton University 2 Ames Laboratory.
Princeton University Department of Mechanical and Aerospace Engineering The Effect of Inclination on Grain Boundary Mobility Hao Zhang; Mikhail I. Mendelev;
Stress Driven Migration of Flat Grain Boundaries Hao Zhang, Mikhail I. Mendelev and David J. Srolovitz Princeton University.
Critical Scaling at the Jamming Transition Peter Olsson, Umeå University Stephen Teitel, University of Rochester Supported by: US Department of Energy.
I. Adlakha 1, K.N. Solanki 1, M.A. Tschopp 2 1 School for Engineering of Matter, Transport, and Energy Arizona State University
Chapter 7 Energy of a System.
Chapter 5 Diffusion Skip Sec. 5-7, 5-8 and Homework No. 6 Problems 4-17, 4-19, 4-32, 4-47, 4-48, 5-9, 5-15, 5- 23, 5-26, 5-60.
Warm-Up: January 30, 2012 Where do we encounter waves? Write down all the examples of waves that you can think of.
ANELASTICITY Some Background, Mechanisms and Recent Work Aaron Vodnick MSE 610 4/25/06.
Chemistry 232 Kinetic Theory of Gases Kinetic Molecular Theory of Gases Macroscopic (i.e., large quantity) behaviour of gases – pressure, volume, and.
Texture. Texture is an innate property of all surfaces (clouds, trees, bricks, hair etc…). It refers to visual patterns of homogeneity and does not result.
J. L. Bassani and V. Racherla Mechanical Engineering and Applied Mechanics V. Vitek and R. Groger Materials Science and Engineering University of Pennsylvania.
Multi-scale Heat Conduction Quantum Size Effect on the Specific Heat
1 CE 530 Molecular Simulation Lecture 6 David A. Kofke Department of Chemical Engineering SUNY Buffalo
The Role of Friction and Shear stress in the Jamming Transition Antonio Coniglio Università di Napoli “Federico II” Lorentz Center Leiden 6-10 July 2009.
Rebecca Cantrell MAE Professor Zabaras Atomistic Modeling of Materials Final Project Presentation May 7, 2007.
Complex Plasmas as a Model for the Quark-Gluon-Plasma Liquid
Structural origin of non-Newtonian rheology Computer simulations on a solution of telechelic associating polymers J. Stegen +, J. Billen°, M. Wilson °,
1 What is small scale fading? Small scale fading is used to describe the rapid fluctuation of the amplitude, phases, or multipath delays of a radio signal.
Study of Pentacene clustering MAE 715 Project Report By: Krishna Iyengar.
Introduction to Materials Science, Chapter 7, Dislocations and strengthening mechanisms University of Virginia, Dept. of Materials Science and Engineering.
Meta-stable Sites in Amorphous Carbon Generated by Rapid Quenching of Liquid Diamond Seung-Hyeob Lee, Seung-Cheol Lee, Kwang-Ryeol Lee, Kyu-Hwan Lee, and.
1 Chapter 7 Potential Energy Potential Energy Potential energy is the energy associated with the configuration of a system of two or more interacting.
Statistical Mechanics of Proteins
Md. Jahidur Rahman/ MATLS 702/ 20th January, Investigation of low angle grain boundary (LAGB) migration in pure Al: A Molecular Dynamics simulation.
1 CE 530 Molecular Simulation Lecture 12 David A. Kofke Department of Chemical Engineering SUNY Buffalo
Lecture 22: The mechanism of plastic deformation, part 2
Firohman Current is a flux quantity and is defined as: Current density, J, measured in Amps/m 2, yields current in Amps when it is integrated.
Length-scale Dependent Dislocation Nucleation during Nanoindentation on Nanosized Gold Islands Alex Gonzalez Department of Mechanical Engineering University.
Modelling of the motion of phase interfaces; coupling of thermodynamics and kinetics John Ågren Dept of Materials Science and Engineering Royal Institute.
1 Linear Wave Equation The maximum values of the transverse speed and transverse acceleration are v y, max =  A a y, max =  2 A The transverse speed.
Cutnell/Johnson Physics 8th edition Reading Quiz Questions
Durham, 6th-13th December 2001 CASTEP Developers’ Group with support from the ESF  k Network The Nuts and Bolts of First-Principles Simulation 20: Surfaces.
Defect-Defect Interaction in Carbon Nanotubes under Mechanical Loading Topological defects can be formed in carbon nanotubes (CNTs) during processing or.
Diffusion over potential barriers with colored noise
Sanghamitra Mukhopadhyay Peter. V. Sushko and Alexander L. Shluger
Plastic Deformation of Polycrystalline Metals
Koen E. Merkus, Menno W.J. Prins, Cornelis Storm  Biophysical Journal 
Molecular Dynamics Study on Deposition Behaviors of Au Nanocluster on Substrates of Different Orientation S.-C. Leea, K.-R. Leea, K.-H. Leea, J.-G. Leea,
Atomistic simulations of contact physics Alejandro Strachan Materials Engineering PRISM, Fall 2007.
Atomistic materials simulations at The DoE NNSA/PSAAP PRISM Center
Berrilli F., Del Moro D., Giordano S., Consolini G., Kosovichev, A.
Volume 17, Issue 24, Pages (December 2007)
Single-Molecule Analysis Reveals Differential Effect of ssDNA-Binding Proteins on DNA Translocation by XPD Helicase  Masayoshi Honda, Jeehae Park, Robert.
CREEP CREEP Dr. Mohammed Abdulrazzaq Materials Engineering Department.
Molecular Dynamics Simulation of a Synthetic Ion Channel
Presentation transcript:

Atomistic Mechanism for Grain Boundary Migration: Molecular Dynamics Studies Hao Zhang a, David J. Srolovitz a, Jack F. Douglas b, and James A. Warren b a Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ b National Institute of Standards and Technology, 100 Bureau Drive, Stop 8554, Gaithersburg, MD Introduction  Grain boundary migration is the central feature of grain growth, recrystallization I. controls final grain size, texture, …  Understanding of boundary structure I. low temperature observations  Understanding of boundary migration I. macroscopic migration rate measurements II. coarse-grained rate theory III. limited atomistic simulations  Mechanisms I. melting/crystallization II. step/kink (SGBD) motion III. cooperative shuffling IV. Coupling motion  Here I.high T MD simulation of GB migration II.analysis of all atomic motion 3-d MD Simulations of Flat Boundary Migration  Molecular dynamics in NVT ensemble  EAM-type (Voter-Chen) potential for Ni  Periodic boundary conditions in x and y  One grain boundary & two free surfaces  Fixed biaxial strain,  =  xx =  yy  Source of driving force is the elastic energy difference due to crystal anisotropy  Driving force is constant during simulation  Linear elasticity:  At large strains, deviations from linearity occur, determine driving force from the difference of the strain energy in the two grains: X Y Z Grain Boundary Free Surface Grain 2 Grain   5 (001) tilt boundary Statistical Measures  van Hove correlation function (Self-part), G s  Non-Gaussian Parameter,    Mean First-Passage Time (MFPT),  ( R ) R (R)(R) By looking at G s for different  t, we can trace the path that the atoms takes as they move through the system. Distribution of distances atoms travel on different time scales. This parameter provides a measure of how much G s deviates from a Gaussian distribution. This quantity characterizes how rapidly an atom escapes its local environment. Cooperative Motion Atomic displacements:  t=5ps Atomic displacements:  t=0.4ps, t=30ps Boundary Plane - XY  Substantial cooperative motions within boundary plane during migration All of the atoms that are members of strings of length greater than 4 at  t = T* Atomic Path for  5 Tilt Boundary Migration Part of the simulation cell  CSL unit cell  Atomic “jump” direction ,  - indicate which lattice Color – indicates plane A/B I IIa III IIb IIc Types of Atomic Motions Type I: “ Immobile” – coincident sites -I, d I = 0 Å Type II : In-plane jumps (either in A or B plane) – IIa, IIb, IIc, d IIa =d IIb =1.1 Å, d IIc =1.6 Å Type III : Inter-plane (A/B) jump - III, d III =2.0 Å Conclusions  Molecular dynamics simulations of stress-driven boundary migration for asymmetric  5 tilt boundaries  Employed statistical measures to quantify grain boundary migration dynamics  Three distinct types of atomic motions observed: I.very small displacement of coincident site atoms II.single atom displacements with significant components perpendicular to the boundary plane III.Collective motion of 2-10 atom groups in a string-like motion parallel to the tilt axis  Type II motions : correlated with excess volume of boundary I.The atomic motions across the grain boundary plane occurs on a characteristic time scale t* of ~ 130 ps. Applied driving force decreases t*. II.Type II displacements are rate controlling events  Type III motions: collective motion of group of atoms I.String-like cooperative motion are intrinsic dynamics within grain boundary, it occurs on the characteristic time scale T* of ~26 ps. Applied driving force tends to decrease T* and biases its motion. Characterization of Type II Motion  At short time atomic motions are harmonic – transition away from harmonic at long times  Transition behavior occurs on much longer time scales than T* characteristic of string-like motion  The transition occurs at t*~130 ps for the migrating boundary What Are those Peaks? d IIa = 1.13Ǻ d IIb = 0.71Ǻ d IIc = 1.24Ǻ d III = 1.95 Ǻ  The broad peak at r = 1.3 Ǻ in the G s represents Type II displacements (motions IIa and IIc), and the peak of r = 2.0 Ǻ represents Type III displacement (motion III).  Type II displacements are rate controlling events Formation of a String Boundary Plane - XY  Colored by Voronoi volume; in crystal, V=11.67Å 3  Excess volume triggers string-like displacement sequence  Net effect – transfer volume from one end of the string to the other  Displacive not diffusive volume transport 0 ps1.8 ps3.6 ps4.2 ps3.0 ps Find Strings and Determine their Lengths  The atom is treated as mobile if  Find string pair among mobile atoms using  The Weight-averaged mean string length:  t = 4 ps at 1000K  t = 4 ps at 800K Strings in Stationary & Migrating Boundary  Even in a stationary boundary, there is substantial string-like cooperative motion  String length shows maximum at T * (~80 ps)  Most of the strings form lines parallel to the tilt-axis  Boundary migration tends to decorrelate the cooperative motion, shorten T* from ~80 ps to ~26 ps Stationary Boundary Migrating Boundary Atomic Configuration During Migration plane X-Z Atom positions during a period in which boundary moves  by 1.5 nm Color  time red=late time, blue=early time  Atomic displacements  symmetry of the transformation Trans-boundary plane X-Z Atom positions during boundary moves downward by 1.5 nm Color – Voronoi volume change – red= ↑over 10%, blue = ↓over 10%  Excess volume triggers Type II displacement events Type II Displacements What determines how fast a boundary moves?  The larger the excess volume, the faster the boundary moves  More volume  easier Type II events  faster boundary motion Rate Controlling Events This suggests that both of these quantities provide different views of the same types of events during boundary migration. These events are not the string-like cooperative motions (26 ps = T* << t* = 130 ps). Displacement Distribution Function Stationary Boundary Migrating Boundary  For  t ~ 0.8ps G s is approximately Gaussian  For  t < t*, G s for the migrating and stationary boundaries are very similar.  For  t > t*, new peaks develop at r = 1.3 and r = 2.0 Ǻ and the peak at r 0 begins to disappear