Development of the Thermal Neutron Scattering Law Of ......Thermal Neutron Scattering Law Of...

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Development of the

Thermal Neutron Scattering Law

Of

Polymethyl Methacrylate (Lucite)

Ayman I. Hawari

Nuclear Reactor Program

Department of Nuclear Engineering

North Carolina State University

Raleigh, North Carolina, USA

Technical Program Review

Nuclear Criticality Safety Program March 18 – 19, 2015 β€’ LLNL, Livermore, CA, USA

Acknowledgement

The many graduate students and postdocs at North Carolina State University

Current funding by the NCSP program and past funding by DOE NE for through NERI and NEUP programs

Vision

Establish a predictive approach for generating the needed data (cross sections) to describe the energy exchange of thermal neutrons in matter

Various applications:

Nuclear criticality safety Nuclear reactor design Neutron beam spectral shaping (i.e., filtering) Neutron source (cold, ultracold, etc.) characterization

),(SeE

E

Tk2dEd

d2

Binelastic

2

Tk

EE

B

Energy transfer

Tk

)cosEE2EE(

B

Momentum transfer

dtee

2

1),(S )t(ti

de e1)2/sinh(

)(

2)t( 2/ti

() – density of states (e.g., phonon frequency distribution)

The scattering law is the Fourier transform of a correlation function

Methods

Several approaches can be used to extract the atomic density of states, scattering law and eventually the cross sections

Empirical atomic force analysis combined with dynamical

matrix calculations Basis of current ENDF/B libraries

Ab initio Quantum (DFT) methods combined with dynamical

matrix calculations Classical Molecular Dynamics (MD) methods combined with

correlation function analysis

NJOY

NJOY

Lattice

Dynamics

Hellmann-Feynman

Forces (HF)

Ab Initio

DFT

(w)

One Phonon

)(qj

w

)(qe jd

),(1 dS),( sS

Scattering Cross Section

(E )

( ),S w ( ),sS w

Velocity autocorrelation

MD Simulation

Particle density autocorrelation

Time

Transform

( ) jR t

( ) w

( ) jv t

Time

Transform

( ),I t

Density of States G(E)

Energy Transfer (meV)

0 50 100 150 200

G(E

)

0.000

0.002

0.004

0.006

0.008

0.010

0.012

0.014

0.016

0.018

0.020

Measured (irradiated NBG-10)

Measured (unirradiated NBG-10)

Calculated

Molecular Dynamics Models

Energy (eV)

0.00 0.05 0.10 0.15 0.20 0.25

DO

S (

1/e

V)

0

10

20

30

10% porous graphite

30% poorous graphite

Ideal graphite

Materials Studied at NCSU Graphite, Beryllium (improvement on ENDF/B-VII)

Treatment of nuclear graphite (porous system) Including coherent inelastic

Silicon dioxide (New, contributed to NNDC/ENDF) Support criticality safety analysis

Silicon carbide (New, contributed to NNDC/ENDF) Support advanced fuel cycle applications (e.g., FCM fuels)

Thorium hydride, uranium-zirconium hydride, calcium hydride (New)

Sapphire and bismuth (New) Thermal neutron filters

Solid methane (predictive analysis) Cold neutron moderator Captured phase I to II transformation upon cooling below 22 K

Lucite

Methyl Methacrylate Monomer

C5O2H8

3 different species of Hydrogen atoms

Group 1: At the end of the longest chain

Group 2: At the end of the shorter chain

Group 3: On the backbone

C

CH3

CH3

C

O

O

H2

C

Group 2

Group 1

Group 3

( ),S w ( ),sS w

Velocity autocorrelation

MD Simulation

Particle density autocorrelation

Time

Transform

( ) jR t

( ) w

( ) jv t

Time

Transform

( ),I t

Build Polymer Model

Lucite MD Model

Amorphous poly(methyl methacrylate) polymer

Molecular weight, minimum, 37,000 Mw (370 monomers long)

5 polymer chains

MD Potential Function

Dreiding force field L-J (VDW) term: Fitted for the system to match the experimental density

𝐸 = 𝐸𝑣𝑑𝑀 + 𝐸𝑄 + 𝐸𝐡 + 𝐸𝐴 + 𝐸𝑇

𝐸𝑣𝑑𝑀 = π΄π‘…βˆ’12 βˆ’ π΅π‘…βˆ’6

𝐸𝑄 = 𝐢𝑄𝑖𝑄𝑗 πœ–π‘…π‘–π‘—

𝐸𝐡 =12 π‘˜0 𝑅 βˆ’ 𝑅0

2

𝐸𝐴 =12 𝐾𝐼𝐽𝐾 π‘π‘œπ‘ πœƒπΌπ½πΎ βˆ’ π‘π‘œπ‘ πœƒ

2

𝐸𝑇 = 𝐸𝐼𝐽𝐾𝐿 =12 𝑉𝐽𝐾 1 βˆ’ π‘π‘œπ‘  𝑛𝐽𝐾 πœ‘ βˆ’ πœ‘π½πΎ

0

4

High Pressure,

High Temperature

Cycles

Potential Parameterization

NO Adjust vdw parameters

YES

Check if Density

@300K,1atm = exp

𝑇𝑔𝑒π‘₯𝑝 β‰ˆ 400 K

π‘‡π‘”π‘πΆπ‘†π‘ˆ = 400 βˆ’ 500 K

Computational Approach

),(SeE

E

Tk2dEd

d2

Binelastic

2

( , ( ))1( , )

2

i t tS e e dt w

Use NJOY/LEAPR

𝜌 πœ” =𝑀

3πœ‹π‘˜π›½π‘‡ 𝐢 𝑑 π‘’βˆ’π‘–πœ”π‘‘π‘‘π‘‘

∞

βˆ’βˆž

𝐢(𝑑) = 𝑣𝑗(0) βˆ™ 𝑣𝑗(𝑑) =1

𝑁 𝑣𝑗(0) βˆ™ 𝑣𝑗(𝑑)

𝑁

π‘—βˆ’1

Lucite VACF

Lucite VACF

Lucite VACF

Lucite VACF

Lucite VACF

Lucite VACF

Lucite VACF

Lucite VACF

Lucite VACF

Density of States

Energy (meV)

0 100 200 300 400

DO

S (

arb

itra

ry u

nit

s)

0.00

0.01

0.02

0.03

0.04

0.05

0.06

C

CH3

CH3

C O

O

H2

C

Group 2

Group 1

Group 3

S(Ξ±,Ξ²) – Scattering Law

Differential Cross Section

Total Inelastic Scattering Cross Section

Total Scattering Cross Section

ACE Library

Polyethylene

Polyethylene MD Model

Partially amorphous, partly crystalline structure, made up of ethylene monomers, C2H4

Polyethylene is the most common plastic, ubiquitously used for packaging, bags and bottles

Molecular weight, 10,000-100,000 Mw (at least 350 monomers long)

Dihedral barrier term: Fitted for the system to match the experimental amorphous/crystal composition

𝐸 = 𝐸𝑣𝑑𝑀 + 𝐸𝑄 + 𝐸𝐡 + 𝐸𝐴 + 𝐸𝑇

𝐸𝑣𝑑𝑀 = π΄π‘…βˆ’12 βˆ’ π΅π‘…βˆ’6

𝐸𝑄 = 𝐢𝑄𝑖𝑄𝑗 πœ–π‘…π‘–π‘—

𝐸𝐡 =12 π‘˜0 𝑅 βˆ’ 𝑅0

2

𝐸𝐴 =12 𝐾𝐼𝐽𝐾 π‘π‘œπ‘ πœƒπΌπ½πΎ βˆ’ π‘π‘œπ‘ πœƒ

2

𝐸𝑇 = 𝐸𝐼𝐽𝐾𝐿 =12 𝑉𝐽𝐾 1 βˆ’ π‘π‘œπ‘  𝑛𝐽𝐾 πœ‘ βˆ’ πœ‘π½π‘˜

0

MD Potential Function

Parameterization

Dihedral barrier of 2 kcals/mole

~ 50% crystallinity

Dihedral barrier of 3 kcals/mole

~100% crystallinity

Summary

Developed a modern approach for thermal neutron cross section calculations based on the use of atomistic simulations Ab initio quantum mechanics

Molecular dynamics

The approach is predictive New materials

All states of matter (solid, liquid, gas)

Imperfect structure

Evaluating NCSP materials

Silicon dioxide completed

Lucite completed

Polyethylene initiated

Continue to support the data needs of NCSP and the nuclear science and engineering community

Develop the β€œnext generation” platform for thermal neutron scattering analysis

Free from approximations

Flexible to use various types of input

Able to seamlessly integrate with neutron transport tools

Future

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