Centre Sciences des matériaux et des structures Département Rhéologie, Microstructures, Thermomécanique FR CNRS 3410 – CIMReV UMR CNRS 5307 Laboratoire.

Slides:



Advertisements
Similar presentations
1 Some Considerations on the Measurements of Snow Specific Surface Area from 3D Images F. Flin 1, B. Lesaffre 1, A. Dufour 1, L. Gillibert 1, A. Hasan.
Advertisements

Fick’s Laws Combining the continuity equation with the first law, we obtain Fick’s second law:
1 D. Marechal, C. W. Sinclair Department of Materials Engineering, The University of British Columbia, Vancouver Canada Revisiting the TRIP effect with.
Chapter 3 Dynamic Modeling.
Professor Walter W. Olson Department of Mechanical, Industrial and Manufacturing Engineering University of Toledo Lumped Parameter Systems.
Length scale dependent aging and plasticity of a colloidal polycrystal under oscillatory shear Elisa Tamborini Laurence Ramos Luca Cipelletti Laboratoire.
François Chevoir, Jean-Noël Roux Laboratoire Navier (LCPC, ENPC, CNRS) DENSE GRANULAR MATERIALS Microscopic origins of macroscopic behaviour GdR CHANT.
HRR Integral Recall with is the integration constant.
The various engineering and true stress-strain properties obtainable from a tension test are summarized by the categorized listing of Table 1.1. Note that.
Deformation Micromechanics DUCTILE DEFORMATION AND BRITTLE-DUCTILE TRANSITION.
1 MECH 221 FLUID MECHANICS (Fall 06/07) Tutorial 7.
Materials with voids T.A. Abinandanan & R. Mukherjee Department of Materials Engineering Indian Institute of Science Bangalore, India.
D-DIA (Deformation DIA) High-P and T, homogeneous stress/strain (Durham, Wang, Getting, Weidner)
Princeton University Department of Mechanical and Aerospace Engineering Stress-Driven Grain Boundary Migration Effect of Boundary Inclination on Mobility.
Predicting Coronal Emissions with Multiple Heating Rates Loraine Lundquist George Fisher Tom Metcalf K.D. Leka Jim McTiernan AGU 2005.
Statistical variation of material properties In practice, material properties are seldom homogenous, as they are sensitive to variations in parameter such.
Dislocations and Strengthening
Princeton University Department of Mechanical and Aerospace Engineering The Effect of Inclination on Grain Boundary Mobility Hao Zhang; Mikhail I. Mendelev;
EART162: PLANETARY INTERIORS
Estimation and the Kalman Filter David Johnson. The Mean of a Discrete Distribution “I have more legs than average”
Assist.Prof.Dr. Ahmet Erklig
XII International Symposium on Explosive Production of New Materials: Science, Technology, Business and Innovations, EPNM.
Mechanical characterization of lead- free solder joints J. Cugnoni*, A. Mellal*, Th. J. Pr. J. Botsis* * LMAF / EPFL EMPA Switzerland.
Measurement of Kinematics Viscosity Purpose Design of the Experiment Measurement Systems Measurement Procedures Uncertainty Analysis – Density – Viscosity.
Physics of fusion power
Mechanical & Aerospace Engineering West Virginia University Work Hardening and Annealing.
Chapter 3: Unsteady State [ Transient ] Heat Conduction
Department of Aerospace and Mechanical Engineering A one-field discontinuous Galerkin formulation of non-linear Kirchhoff-Love shells Ludovic Noels Computational.
Atomistic Simulations Ju Li, Libor Kovarik. 8 nm Mishin, Acta Mater. 52 (2004) 1451 Ardell & Ozolins, Nature Mater. 4 (2005) 309.
Effective Inelastic Response of Polymer Composites by Direct Numerical Simulations A. Amine Benzerga Aerospace Engineering, Texas A&M University With:
BsysE595 Lecture Basic modeling approaches for engineering systems – Summary and Review Shulin Chen January 10, 2013.
Department of Tool and Materials Engineering Investigation of hot deformation characteristics of AISI 4340 steel using processing map.
Chapter 1 Introduction to Statistics. Statistical Methods Were developed to serve a purpose Were developed to serve a purpose The purpose for each statistical.
Bin Wen and Nicholas Zabaras
Status report from the Lead Centre for Surface Processes and Assimilation E. Rodríguez-Camino (INM) and S. Gollvik (SMHI)
Conceptual Modelling and Hypothesis Formation Research Methods CPE 401 / 6002 / 6003 Professor Will Zimmerman.
Crystal Plasticity Class One.
1 MAE 5130: VISCOUS FLOWS Momentum Equation: The Navier-Stokes Equations, Part 2 September 9, 2010 Mechanical and Aerospace Engineering Department Florida.
Heat Conduction and the Boltzmann Distribution Meredith Silberstein ES.241 Workshop May 21, 2009.
Historically the First Fluid Flow Solution …. P M V Subbarao Professor Mechanical Engineering Department I I T Delhi Second Class of Simple Flows.
Laboratoire Environnement, Géomécanique & Ouvrages Comparison of Theory and Experiment for Solute Transport in Bimodal Heterogeneous Porous Medium Fabrice.
Scaling Laws in the Welding Arc P.F. Mendez, M.A. Ramírez G. Trapaga, and T.W. Eagar MIT, Cambridge, MA, USA October 1 st, 2001, Graz, Austria.
Sedimentation of a polydisperse non- Brownian suspension Krzysztof Sadlej IFT UW IPPT PAN, May 16 th 2007.
Introduction to Materials Science, Chapter 7, Dislocations and strengthening mechanisms University of Virginia, Dept. of Materials Science and Engineering.
Inherent Mechanism Determining Scaling Properties of Fault Constitutive Laws Mitsuhiro Matsu’ura Department of Earth and Planetary Science Graduate School.
LATTICE BOLTZMANN SIMULATIONS OF COMPLEX FLUIDS Julia Yeomans Rudolph Peierls Centre for Theoretical Physics University of Oxford.
Stress constrained optimization using X-FEM and Level Set Description
HEAT TRANSFER FINITE ELEMENT FORMULATION
Constant stress experiment ductile elastic Constant stress (strain varies) Constant strain (stress varies)
Rheophysics of wet granular materials S. Khamseh, J.-N. Roux & F. Chevoir IMA Conference on Dense Granular Flows - Cambridge - July 2013.
Discussion of Itamar’s talk, August 2008 T. Witten, University of Chicago.
Introduction to pattern formation in materials
25-26 January Bochum, Germany Luc Hantcherli - Philip Eisenlohr - Franz Roters – Dierk Raabe and Collaboration between: Mechanical twinning in crystal.
Lecture 7 Review of Difficult Topics MATLS 4L04: Aluminum Section.
APPROACH FOR THE SOLUTION OF A SIMPLIFIED REISSNER THEORY OF ELASTIC PLATES - APPLICATION IN THE AUTOMOTIVE INDUSTRY- ICSAT
Moisture Diffusion and Long-term Deformation of Concrete
Our task is to estimate the axial displacement u at any section x
Diffusion over potential barriers with colored noise
Overview of Molecular Dynamics Simulation Theory
Alloy yield strength modeling with MatCalc (rel )
Chapter 4: Dislocation – Obstacle Interactions
EML 4930/5930 Advanced Materials
Materials Science & Engineering University of Michigan
Atomistic simulations of contact physics Alejandro Strachan Materials Engineering PRISM, Fall 2007.
Atomistic materials simulations at The DoE NNSA/PSAAP PRISM Center
Posibilities of strength-enhancing
Regression in the 21st Century
Visco-plastic self-consistent modeling of high strain rate and
Jianfeng Luo and David A. Dornfeld
Presentation transcript:

Centre Sciences des matériaux et des structures Département Rhéologie, Microstructures, Thermomécanique FR CNRS 3410 – CIMReV UMR CNRS 5307 Laboratoire Georges F RIEDEL 11&12 Sept (v1)David PIOT 1 Workshop on Mean Field Modelling for Discontinuous Dynamic Recrystallization Fréjus Summer School Recrystallization Mechanisms in Materials

David PIOT 2 Workshop on Mean-Field Modelling Introduction n Motivation + Illustration of mean-field modelling dedicated to discontinuous dynamic recrystallization (DDRX) + Theoretical derivations related to ergodicity n Outline + How to average dislocation densities? How to keep constant the volume? + How to test an assumption about the dependency of parameters? + Impact of the constitutive equation choice

David PIOT 3 Abstract 1/3 Structure of a mean-field model for DDRX n Mean-field = mesoscopic description + Description at the grain scale + Inhomogeneities at microscopic scale are averaged + Dislocation density homogeneous within each grain + Localization / Homogenization n Assumptions to simplify (but not mandatory) + No topological features + Distribution of spherical grains of various diameters + Localization: Taylor assumption

David PIOT 4 Abstract 2/3 Structure of a mean-field model for DDRX n Variables for describing microstrcurure + As no stochastic is considered, all grains of a given age have the same diameter and dislocation density because they have undergone identical evolution → one-parameter (nucleation time  ) distributions (for non initial grains) +

David PIOT 5 Abstract 3/3 Structure of a mean-field model for DDRX n Evolution of grain-property distributions + 1. Equation for strain hardening and dynamic recovery giving the evolution of dislocation densities + 2. Equation for the grain-boundary migration governing grain growth or shrinkage + 3. A nucleation model predicting the rate of new grains + 4. Disappearance of the oldest grains included in (2) when their diameter vanishes

David PIOT 6 1. Strain hardening and dynamic recovery n Constitutive model for + Strain hardening + Dynamic recovery + In the absence of recrystallization n General equation + Each grain behaviour is described by the same equation + Several laws can be used, e. g.: + The parameters are temperature and strain-rate dependent

David PIOT 7 2. Grain-boundary migration n Mean-field model + Each grain is inter- acting with an equiv- alent homogeneous matrix n Migration equation + + M grain-boundary mobility, T line energy of dislocations matrix D

David PIOT 8 3. Nucleation equation n Various nucleation models available n “Simplest” equation tentative + Nucleation of new grains (  = t ) is assumed to be proportional to the grain-boundary surface + + Here, p = 3 is assumed  It is the unique integer value for p compatible with experimental Derby exponent d in the relationship between grain size and stress at steady state using the closed-form equation between p and d in the power law case

David PIOT 9 Exercise 1 1/3 Mean dislocation-density n Discrete description of grains ( D i )

David PIOT 10 Exercise 1 1/3 Mean dislocation-density n Discrete description of grains ( D i )

David PIOT 11 Exercise 1 1/3 Mean dislocation-density n Discrete description of grains ( D i )

David PIOT 12 Exercise 1 1/3 Mean dislocation-density n Discrete description of grains ( D i ) + I. e. average weighted by the grain-boundary area

Annex: On the rush… n What about grain growth? + Hillert ( Acta Metall. 1965)

Annex: On the rush… n What about grain growth? + Hillert ( Acta Metall. 1965)

Annex: On the rush… n What about grain growth? + Hillert ( Acta Metall. 1965) n Mixed formulation + With stored energy: average dislocation-density + With surface energy: average grain-size

David PIOT 16 Exercise 1 2/3 Mean dislocation-density n Continuous description for a volume unit + After vanishing of the initial grains

David PIOT 17 Exercise 1 2/3 Mean dislocation-density n Continuous description for a volume unit + After vanishing of the initial grains

David PIOT 18 Exercise 1 2/3 Mean dislocation-density n Continuous description for a volume unit + After vanishing of the initial grains  Nucleation is ocurring ( t =  ) and D = 0  Disappearance of old grains ( t =  + t end ) and also D = 0

David PIOT 19 Exercise 1 3/3 Mean dislocation-density n Volume constancy

David PIOT 20 Exercise 1 3/3 Mean dislocation-density n Volume constancy

David PIOT 21 Exercise 1 3/3 Mean dislocation-density n Volume constancy

David PIOT 22 Exercise 1 3/3 Mean dislocation-density n Volume constancy

David PIOT 23 Exercise 2 1/2 Ergodicity and averages n Steady state = dynamic equilibrium + Ergodicity postulate when S. S. is established + Averages over the system = averages over time for a typical element of the system + All characteristic and their distribution does not depend on time and the only variable to label grains is their strain/age (current – nucleation time)

David PIOT 24 Exercise 2 1/2 Ergodicity and averages n Steady state = dynamic equilibrium + Ergodicity postulate when S. S. is established + Averages over the system (constant) = averages over time for a typical element of the system

2014David PIOT 25 Exercise 2 2/2 Ergodicity and averages n  n : average dislocation-density weighted by D n + + Steady-state case

David PIOT 26 Exercise 2 2/2 Ergodicity and averages n  n : average dislocation-density weighted by D n + + Steady-state case

David PIOT 27 Exercise 2 2/2 Ergodicity and averages n  n : average dislocation-density weighted by D n + + Steady-state case

David PIOT 28 Exercise 2 2/2 Ergodicity and averages n  n : average dislocation-density weighted by D n + + Steady-state case

David PIOT 29 Exercise 2 2/2 Ergodicity and averages n  n : average dislocation-density weighted by D n + + Steady-state case

David PIOT 30 Exercise 3 1/3 Strain-hardening law influence n Comparison YLJ / PW (/KM) + PW tractable with closed forms + Physically still questionable + Easy to switch data from one to another law  M ONTHEILLET et al. (Metall. and Mater. Trans. A, 2014)

David PIOT 31 n Exercise 3 2/3 Strain-hardening law influence

David PIOT 32 Exercise 3 3/3 Strain-hardening law influence n Alternative codes, both for nickel + DDRX_YLJ + DDRX_PW + Parameters in drx.par  Pure nickel strained at 900 °C and 0.1 s –1  For YLJ: exampleexample  For PW: exampleexample  Grain-boundary mobility and nucleation parameter obtained (direct closed form for PW) from steady-state flow-stress and steady-state average grain-size

Comparison ReX Frac. / Soft. Frac. n It depends on… Nb content and what else?

Exercise 4 1/1 Impact of the initial microstructure n Comparison quasi Dirac / lognormal + Initial average grain-size : 500 µm + Flag 0  Initial grain-size distribution: Gaussian  “Standard deviation”: Variation coefficient (SD/mean)  Quasi Dirac : variation coefficient 0.05 (already done) + Flag 1  Initial grain-size distribution: lognormal  “Standard deviation”: ln-of- D SD (usual definition, dimensionless)  Parametric study ( e. g. 0.1, 0.25, 0.5, 1)

Exercise 5 1/1 Test of models for parameters n Mean field models + Relevant tools to test assumptions for modelling the dependence of parameters with straining conditions n Exemple : strain-rate sensitivity + Rough trial  GB mobility, nucleation, recovery, only depend on temperature  Strain hardening: power law  + Screening by comparing 0.1 with 0.01 and 1 s –1