November 29, 2015 1 Scattering contrast dependence on thermal-expansion-coefficient difference of phases in two-phase system P. Strunz 1,2, R. Gilles 3,

Slides:



Advertisements
Similar presentations
Introduction to X-Ray Powder Diffraction Data Analysis
Advertisements

Solution Thermodynamics Richard Thompson Department of Chemistry University of Durham
The Effects of Cr Additions on the Morphologies of  ’(L1 2 ) Precipitates David N. Seidman, Northwestern University, DMR The effects of Cr additions.
Experimental Investigation and Mathematical Modeling of Cold-Cap Behavior in HLW Melter D. Pierce, J. Chun, P. Hrma, J. Rice, R. Pokorny, M. Schweiger.
An introduction to the Rietveld method Angus P. Wilkinson School of Chemistry and Biochemistry Georgia Institute of Technology.
Focusing monochromators/analyzers Asymmetric diffraction geometry of the monochromator Dispersive double crystal monochromator Two wavelength sandwich.
Plan : lattices Characterization of thin films and bulk materials using x-ray and electron scattering V. Pierron-Bohnes IPCMS-GEMME, BP 43, 23 rue du Loess,
Zürich, Acceptable limits of degradation of TBC for high-efficient turbines (HET TBC) Department Materials (ALSTOM) Lab of Crystallography (ETH.
Crystal Structural Behavior of CoCu₂O₃ at High Temperatures April Jeffries*, Ravhi Kumar, and Andrew Cornelius *Department of Physics, State University.
Chem Single Crystals For single crystals, we see the individual reciprocal lattice points projected onto the detector and we can determine the values.
Effects of Diamond Crystal Imperfection on Coherent Bremsstrahlung G. L. Yang Department of Physics and Astronomy University of Glasgow.
IPCMS-GEMME, BP 43, 23 rue du Loess, Strasbourg Cedex 2
Prénom Nom Document Analysis: Parameter Estimation for Pattern Recognition Prof. Rolf Ingold, University of Fribourg Master course, spring semester 2008.
1 Learning Entity Specific Models Stefan Niculescu Carnegie Mellon University November, 2003.
Chap.3 A Tour through Critical Phenomena Youjin Deng
Mechanical characterization of lead- free solder joints J. Cugnoni*, A. Mellal*, Th. J. Pr. J. Botsis* * LMAF / EPFL EMPA Switzerland.
Lecture II-2: Probability Review
Neutron Scattering 102: SANS and NR
Diffraction Lineshapes (From “Transmission Electron Microscopy and Diffractometry of Materials”, B. Fultz and J. Howe, Springer-Verlag Berlin Chapter.
Dynamic thermal rating of power transmission lines related to renewable resources Jiri Hosek Institute of Atmospheric Physics, Prague, Czech Rep.
Thermal Stabilization and Mechanical Properties of nc Fe-Ni-Cr Alloys Ronald O. Scattergood, North Carolina State University, DMR A study was completed.
October 3, Small-Angle Neutron Scattering in Materials Science 1 Nuclear Physics Institute and Research Centre Řež near Prague, Czech Republic 2.
Stress-Strain-Diffusion Interactions in Solids J. Svoboda 1 and F.D. Fischer 2 1 Institute of Physics of Materials, Brno, Czech Republic 2 Institute of.
Department of Tool and Materials Engineering Investigation of hot deformation characteristics of AISI 4340 steel using processing map.
October 12, Pore structure characterization and in-situ diffusion measurement in nanoporous membrane using SANS This research project has been supported.
Determination of Crystal Structure (From Chapter 10 of Textbook 2) Unit cell  line positions Atom position  line intensity (known chemistry) Three steps.
NPI + HMI 10/20/ SANS examination of precipitate microstructure in creep-exposed single- crystal Ni-base superalloy SC16 1 Hahn-Meitner-Institut,
Ionic Conductors: Characterisation of Defect Structure Lecture 15 Total scattering analysis Dr. I. Abrahams Queen Mary University of London Lectures co-financed.
In-situ Resistivity Measurement during Annealing and Transmission Electron Microscopy – an Efficient Method of Investigation of Phase Transformation in.
October 28, Microstructure of creep-exposed single crystal nickel base superalloy CSMX4 This research project has been supported by the European.
Systematic studies of neutrons produced in the Pb/U assembly irradiated by relativistic protons and deuterons. Vladimír Wagner Nuclear physics institute.
Conventions Special aspects of the scattering of high- energetic electrons at crystals Axel Rother*, Kurt Scheerschmidt**, Hannes Lichte* *Triebenberg.
Passive detectors (nuclear track detectors) – part 2: Applications for neutrons This research project has been supported by the Marie Curie Initial Training.
COSIRES 2004 © Matej Mayer Bayesian Reconstruction of Surface Roughness and Depth Profiles M. Mayer 1, R. Fischer 1, S. Lindig 1, U. von Toussaint 1, R.
Least squares & Rietveld Have n points in powder pattern w/ observed intensity values Y i obs Minimize this function: Have n points in powder pattern w/
December 11, Study of Ni 3 Si-type core-shell nanoparticles by contrast variation in SANS experiment P. Strunz 1,2, D. Mukherji 3, G. Pigozzi 4,
Determination of activity of 51 Cr source on gamma radiation measurements V.V.Gorbachev, V.N.Gavrin, T.V.Ibragimova, A.V.Kalikhov, Yu.M.Malyshkin,A.A.Shikhin.
IConUSAS, Oak Ridge, 9-10 July 2003 SASProFit - program for USANS data evaluation Jan Šaroun Nuclear Physics Institute Řež, Czech Republic The program.
Chapter 20 Classification and Estimation Classification – Feature selection Good feature have four characteristics: –Discrimination. Features.
Polymers (see Roe: Methods of X-ray and Neutron Scattering in Polymer Science (2000)) Polymers (see Roe: Methods of X-ray and Neutron Scattering in Polymer.
Ondřej Svoboda Nuclear Physics Institute, Academy of Sciences of Czech Republic Department of Nuclear Reactors, Faculty of Nuclear Sciences and Physical.
J. Kohlbrecher, Polarized Solid Targets, Honnef 2003 Dynamics Of Nuclear Spin Polarization J. Kohlbrecher Paul Scherrer Institute CH-5232 Villigen Switzerland.
Pore size distributionassessed by different techniques Pore size distribution assessed by different techniques M. A. Slasli a, F.Stoeckli a, D.Hugi-Cleary.
Mechanisms and Modeling of High-Temperature Anisotropic Deformation of Single Crystal Superalloys Bhaskar S. Majumdar, New Mexico Institute of Mining and.
March 5, In-situ observation of morphological changes of γ' precipitates in pre-deformed single-crystal Ni-base superalloy This research project.
G. Cowan Lectures on Statistical Data Analysis Lecture 10 page 1 Statistical Data Analysis: Lecture 10 1Probability, Bayes’ theorem 2Random variables and.
1 U N C L A S S I F I E D LANS Company Sensitive — unauthorized release or dissemination prohibited Operated by Los Alamos National Security, LLC for NNSA.
Development Of Titanium-Ruthenium-Aluminum Alloys For High Temperature Applications In Aerospace Propulsion Systems.
Combined diffraction measurements for independent determination of the 2   - error § § Presented in the National Seminar and Workshop of X-ray Diffraction.
Thermal Residual Stress Evolution in a TiC-50vol.%Ni 3 Al Cermet J. Wall a, H. Choo a,b, J.W. Richardson c, T.N. Tiegs b, P.K. Liaw a a Department of Materials.
Three years of cross-section measurements of (n,xn) threshold reactions at TSL Uppsala and NPI Řež O. Svoboda, A. Krása, A. Kugler, M. Majerle, J. Vrzalová,
X-RAY METHODS FOR ORIENTING CRYSTALS
CWR 6536 Stochastic Subsurface Hydrology Optimal Estimation of Hydrologic Parameters.
Spatial Resolution and minimum detection
CHARACTERIZATION OF THE STRUCTURE OF SOLIDS
Statistical Significance & Its Systematic Uncertainties
Chapter 4 Basic Estimation Techniques
Date of download: 10/14/2017 Copyright © ASME. All rights reserved.
A.S. Lidvansky, M.N. Khaerdinov, N.S. Khaerdinov
Cross-section Measurements of (n,xn) Threshold Reactions
Accomplished by: Usmanova g.
On calibration of micro-crack model of thermally induced cracks through inverse analysis Dr Vladimir Buljak University of Belgrade, Faculty of Mechanical.
Kinetics of Phase Transformations
Effect of pore-size controlled solubility on mineralization, porosity, and permeability in porous media: a combined experimental and theoretical study.
Ni-Al-Mo Single Crystal Rafting Studies
Introduction to Instrumentation Engineering
Where did we stop? The Bayes decision rule guarantees an optimal classification… … But it requires the knowledge of P(ci|x) (or p(x|ci) and P(ci)) We.
A new approach to strengthen grain boundaries for creep
O. Svoboda, A. Krása, A. Kugler, M. Majerle, J. Vrzalová, V. Wagner
Structural Analysis of Nanomaterials using Electron Diffraction
Presentation transcript:

November 29, Scattering contrast dependence on thermal-expansion-coefficient difference of phases in two-phase system P. Strunz 1,2, R. Gilles 3, D. Mukherji 4, M. Hofmann 5, D. del Genovese 4, J. Roesler 4, M. Hoelzel 3 and V. Davydov 1 1 Nuclear Physics Institute, CZ Řež near Prague 2 Research Centre Řež, CZ Řež near Prague, Czech Republic 3 TU München, ZWE FRM-II, Lichtenbergstr. 1, D Garching, Germany 4 TU Braunschweig, IfW, Langer Kamp 8, D Braunschweig, Germany 5 TU Darmstadt c/o FRM II, Lichtenbergstr. 1, D Garching, Germany Project supported by the European Commission under the 6th Framework Programme through the Key Action: Strengthening the European Research Area, Research Infrastructures. Contract n°: RII3-CT ' Outline  Observation of SANS intensity increase  Theory  Simulation  Experiment diffraction SANS  Prospective application

November 29, SANS – tool for microstructural characterization  Microstructural characterization: essential part in any alloy development  Neutron scattering: increasingly complementing XRD, SEM, TEM  Microstructural characterization: essential part in any alloy development  Neutron scattering: increasingly complementing XRD, SEM, TEM scattering caused by  γ’ precipitates (ordered fcc - L12 crystal structure)  coherently embedded in γ matrix (crystal structure fcc - A1) scattering caused by  γ’ precipitates (ordered fcc - L12 crystal structure)  coherently embedded in γ matrix (crystal structure fcc - A1)  DT706 superalloy (wt.%: Fe=22, Cr=18, Nb=2.9, Ti=1.9, Al=0.55, C=0.03, Ni = balance)

November 29, SANS data intensity in “low”-temperature region  Increase of the integral SANS intensity from γ' precipitates at low and intermediate temperatures during the temperature decrease  DT706 (SINQ, SANS-II)  17% increase, nearly linear  Increase of the integral SANS intensity from γ' precipitates at low and intermediate temperatures during the temperature decrease  DT706 (SINQ, SANS-II)  17% increase, nearly linear Possible cause  volume fraction change of γ’  change in the size distribution of γ’ precipitates  γ’ scattering contrast change Possible cause  volume fraction change of γ’  change in the size distribution of γ’ precipitates  γ’ scattering contrast change

November 29, scattering contrast change  scattering length densities (SLD)  m,p =[  b m,p ]/a m,p 3 (matrix, precip.)  [  b m ], [  b p ] not changed but a m, a p change with temperature  Can it significantly change the scattering contrast?  scattering length densities (SLD)  m,p =[  b m,p ]/a m,p 3 (matrix, precip.)  [  b m ], [  b p ] not changed but a m, a p change with temperature  Can it significantly change the scattering contrast?  Answer: yes, under certain circumstances  Circumstances (fulfilled in superalloys)  low Δ  with respect to   high volume fraction (to make SANS visible)  Answer: yes, under certain circumstances  Circumstances (fulfilled in superalloys)  low Δ  with respect to   high volume fraction (to make SANS visible)

November 29, Theory – scattering contrast  Scattering contrast of a two-phase system  [  b m ], [  b p ] usually unknown, but temperature independent  known [  b] alloy  c … volume fraction of γ’ precipitates  [  b m ], [  b p ] usually unknown, but temperature independent  known [  b] alloy  c … volume fraction of γ’ precipitates  the average unit cell volume

November 29, Theory - integral SANS intensity when a part of the assymptotic (Porod) region is used:  the shape of the scattering curve cannot change (Porod law)  only the dependence of the specific interface and sample thickness on the temperature has to be taken into account => when a part of the assymptotic (Porod) region is used:  the shape of the scattering curve cannot change (Porod law)  only the dependence of the specific interface and sample thickness on the temperature has to be taken into account =>  where all T-independent parameters are in the constant C 2  the ratio (a p /ν c 1/3 ) 2 is only marginally temperature dependent => temperature dependence of intensity driven by numerator in the scattering contrast form:  where all T-independent parameters are in the constant C 2  the ratio (a p /ν c 1/3 ) 2 is only marginally temperature dependent => temperature dependence of intensity driven by numerator in the scattering contrast form:

November 29, Scattering contrast simulation  using lattice parameters of γ and γ’ determined in DT706  the temperature dependence for various [Σb] p (fixed [Σb] alloy )  volume fraction fixed (c=0.1)  using lattice parameters of γ and γ’ determined in DT706  the temperature dependence for various [Σb] p (fixed [Σb] alloy )  volume fraction fixed (c=0.1)  increasing / decreasing temperature dependence determines which SLD (precipitate or matrix) is smaller  strong correlation “curve shape” – “magnitude of the scattering contrast”  increasing / decreasing temperature dependence determines which SLD (precipitate or matrix) is smaller  strong correlation “curve shape” – “magnitude of the scattering contrast”

November 29, Scattering contrast simulation  volume-fraction change simulation:  change of the curve due to [Σb] p change can be nearly equivalently achieved by changing c  volume-fraction change simulation:  change of the curve due to [Σb] p change can be nearly equivalently achieved by changing c =>  [Σb] p and volume fraction of precipitates are correlated parameters =>  [Σb] p and volume fraction of precipitates are correlated parameters

November 29, Experimental and results - Diffraction experiment  DT706 samples  in-situ at elevated temperatures at FRM-II (SPODI and StressSpec)  Initial heat treatment:  solution treatment step at 1080°C for 2 h (dissolve γ’)  stabilization step at 835°C for 10 h (new population of γ’ precipitates)  In situ measurement:  temporary stops (≤2 h) during the temperature decrease (700, 600, 500, 400, 300, 200, 100°C, RT)  DT706 samples  in-situ at elevated temperatures at FRM-II (SPODI and StressSpec)  Initial heat treatment:  solution treatment step at 1080°C for 2 h (dissolve γ’)  stabilization step at 835°C for 10 h (new population of γ’ precipitates)  In situ measurement:  temporary stops (≤2 h) during the temperature decrease (700, 600, 500, 400, 300, 200, 100°C, RT)

November 29, Experimental and results - Diffraction peaks  Largest accessible anglular range (separation of the γ and γ’ peaks)  reflection 311 (StressSpec) and 331 (SPODI)  Figs.: γ and γ’ double peaks recorded at StressSpec and SPODI  instrumental profile deconvoluted using ProfEdgeReal program  γ’ peaks: 10% of γ peaks  Largest accessible anglular range (separation of the γ and γ’ peaks)  reflection 311 (StressSpec) and 331 (SPODI)  Figs.: γ and γ’ double peaks recorded at StressSpec and SPODI  instrumental profile deconvoluted using ProfEdgeReal program  γ’ peaks: 10% of γ peaks

November 29, Experimental and results – lattice parameters  Approximation of lattice parameter by quadratic polynomial  a m (T) = E-5×T E-8×T2 [matrix]  a p (T) = E-5×T E-8×T2 [γ']  Approximation of lattice parameter by quadratic polynomial  a m (T) = E-5×T E-8×T2 [matrix]  a p (T) = E-5×T E-8×T2 [γ']  Combination of the data obtained form both SPODI and StressSpec => the evolution of the lattice parameters and misfit (RT-835°C)  Combination of the data obtained form both SPODI and StressSpec => the evolution of the lattice parameters and misfit (RT-835°C)

November 29, Experimental and results – SANS integral intensity  SANS II, SINQ  Porod region of the scattering curve:  sample-to-detector distance 5m  λ = 4.55 Å  Q = Å -1  I(T) corrected for background and transmission  SANS II, SINQ  Porod region of the scattering curve:  sample-to-detector distance 5m  λ = 4.55 Å  Q = Å -1  I(T) corrected for background and transmission  The weighted fit using the derived theory and the analytical approximation of a m (T) and a p (T) from neutron diffraction  The fitted parameters are C 2, c R and [Σb] p.  The weighted fit using the derived theory and the analytical approximation of a m (T) and a p (T) from neutron diffraction  The fitted parameters are C 2, c R and [Σb] p.

November 29, Integral SANS data evaluation and discussion  [Σb] p and c R parameters are correlated  Nevertheless, the resulting Δ ρ R is very insensitive to the input value of c R  [Σb] p and c R parameters are correlated  Nevertheless, the resulting Δ ρ R is very insensitive to the input value of c R  => scattering contrast (Δ ρ R ) 2 can be determined without a non- trivial measurement of composition of the individual phases

November 29, Temperature dependence of the scattering contrast  most probable and extreme values of c R  scattering contrast of γ’ in γ matrix, DT706

November 29,  The expressions for SANS scattering contrast dependence on temperature (no phase-composition changes) <= difference in thermal expansions of γ and γ’ in Ni superalloys.  Simulation: this difference is the determining factor for the (Δ ρ ) 2 temperature dependence  The hypothesis proven by experiment on a Ni-Fe-base alloy DT706. The evolution of lattice parameters of both phases obtained from the in-situ wide angle neutron diffraction. The theoretical scattering contrast dependence was then successfully fitted to the measured SANS integral intensity.  The magnitude of (Δρ R ) 2 is firmly connected with the particular shape of the SANS integral intensity temperature dependence => used for the determination of the scattering contrast without the knowledge of the compositions of the individual phases  Investigation of superalloys with no scattering contrast at RT  The expressions for SANS scattering contrast dependence on temperature (no phase-composition changes) <= difference in thermal expansions of γ and γ’ in Ni superalloys.  Simulation: this difference is the determining factor for the (Δ ρ ) 2 temperature dependence  The hypothesis proven by experiment on a Ni-Fe-base alloy DT706. The evolution of lattice parameters of both phases obtained from the in-situ wide angle neutron diffraction. The theoretical scattering contrast dependence was then successfully fitted to the measured SANS integral intensity.  The magnitude of (Δρ R ) 2 is firmly connected with the particular shape of the SANS integral intensity temperature dependence => used for the determination of the scattering contrast without the knowledge of the compositions of the individual phases  Investigation of superalloys with no scattering contrast at RT Summary

November 29,  The authors are indebted to SINQ (PSI Villigen, Switzerland) and FRM II (TU Muenchen, Germany) for providing the beam time at the SANS-II facility and diffractometers StressSpec and SPODI  NMI3 support is acknowledged as well (6 th Framework Programme ‘Strengthening the European Research Area, Research Infrastructures’ - contract no. RII3-CT  We thank the sample environment group of FRM II (A. Schmidt and A. Pscheidt) for support during the high- temperature experiment  The authors are indebted to SINQ (PSI Villigen, Switzerland) and FRM II (TU Muenchen, Germany) for providing the beam time at the SANS-II facility and diffractometers StressSpec and SPODI  NMI3 support is acknowledged as well (6 th Framework Programme ‘Strengthening the European Research Area, Research Infrastructures’ - contract no. RII3-CT  We thank the sample environment group of FRM II (A. Schmidt and A. Pscheidt) for support during the high- temperature experiment Acknowledgments

November 29,

November 29, volume fraction temperature dependence