SlideShare a Scribd company logo
1 of 39
Download to read offline
Decrease hysteresis for
Shape Memory Alloys
Jin Yang; Caltech MCE Grad
Email: yangjin@caltech.edu
What’s Shape Memory Alloy ?
PART ONE
Introduction of Shape
Memory Effects
Two Stable phases at different temperature
Fig 1. Different phases of an SMA
SMA’s Phase Transition
Fig 2. Martensite Fraction v.s. Temperature
Ms : Austensite -> Martensite Start Temperature
Mf : Austensite -> Martensite Finish Temperature
As : Martensite -> Austensite Start Temperature
Af : Martensite -> Austensite Finish Temperature
A
A
M
M
Hysteresis size =
½ (As – Af + Ms - Mf)
How SMA works ? One path-loading
Fig 3. Shape Memory Effect of an SMA.
M
D-M
A
Example about # of Variants of Martensite [KB03]
Fig 4. Example of many “cubic-tetragonal” martensite variants.
How SMA works ? One path-loading
M
D-M
A
T-M
Fig 5. Fig 6. Loading path.
Austenite directly to detwinned martensite
Fig 7. Temperature-induced phase transformation with applied load.
D-M
A
Austenite directly to detwinned martensite
M
D-M
A
Fig 8. Fig 9. Thermomechanical	
  loading
Pseudoelastic Behavior
Fig 10. Pseudoelastic
loading path
D-M
Fig 11. Pseudoelastic
stress-strain diagram.
Summary: Shape memory alloy (SMA) phases and crystal structures
Fig 12. How SMA works.
①  Maximum recoverable strain
②  Thermal/Stress Hysteresis size
③  Shift of transition temperatures
④  Other fatigue and plasticity problems and other factors, e.g. expenses…
What SMA’s pratical properties we care about ?
Fig 13. SMA hysteresis & shift temp.
SMA	
  facing	
  challenges!	
  
•  High	
  expenses;	
  
•  Fa5gue	
  Problem;	
  
•  Large	
  temperature/stress	
  hysteresis	
  
•  Narrow	
  temperature	
  range	
  of	
  opera5on	
  
•  Reliability	
  
•  Since	
  the	
  crystal	
  laCce	
  of	
  the	
  martensi5c	
  phase	
  has	
  
lower	
  symmetry	
  than	
  that	
  of	
  the	
  parent	
  austeni5c	
  
phase,	
  several	
  variants	
  of	
  martensite	
  can	
  be	
  formed	
  
from	
  the	
  same	
  parent	
  phase	
  crystal.
	
  
•  Parent	
  and	
  product	
  phases	
  coexist	
  during	
  the	
  phase	
  
transforma5on,	
  since	
  it	
  is	
  a	
  first	
  order	
  transi5on,	
  and	
  
as	
  a	
  result	
  there	
  exists	
  an	
  invariant	
  plane	
  (relates	
  to	
  
middle	
  eigenvalue	
  is	
  1),	
  which	
  separates	
  the	
  parent	
  
and	
  product	
  phases.	
  	
  
Summary: Shape memory alloy (SMA) phases and crystal structures
PART Two
Cofactor Conditions
QUj -Ui = a⊗n
•  Nature Materials, (April 2006;
Vol 5; Page 286-290)
•  Combinatorial search of
thermoelastic shape-memory
alloys with extremely small
hysteresis width
•  Ni-Ti-Cu & Ni-Ti-Pb
New findings: extremely small hysteresis width when λ2 è 1
Fig 14.
QUj -Ui = a⊗n
•  Adv. Funct. Mater. (2010), 20,
1917–1923
•  Identification of Quaternary
Shape Memory Alloys with
Near-Zero Thermal Hysteresis
and Unprecedented Functional
Stability
New findings: extremely small hysteresis width when λ2 è 1
Fig 15.
Conditions of compatibility for twinned martensite
Definition. (Compatibility condition) Two positive-definite symmetric
stretch tensors Ui and Uj are compatible if:
, where Q is a rotation, n is the normal direction of interface, a and Q
are to be decided.
Result 1 [KB Result 5.1]
Given F and G as positive definite tensors, rotation Q, vector a ≠ 0, |n|=1,	
 s.t.
iff: (1) C = G-TFTFG-1≠Identity
(2) eigenvalues of C satisfy: λ1 ≤	
 λ2 =1 ≤	
 λ3
And there are exactly two solutions given as follow: (k=±1, ρ is chosen to let |n|=1)
∃
QF -G = a⊗n
QUj -Ui = a⊗n
a= ρ
λ3
1− λ1( )
λ3
− λ1
ˆe1
+k
λ1
λ3
−1( )
λ3
− λ1
ˆe3
⎛
⎝
⎜
⎜
⎞
⎠
⎟
⎟
; n=
λ3
− λ1
ρ λ3
− λ1
− 1− λ1
GT
ˆe1
+k λ3
−1GT
ˆe3( )
Conditions of compatibility for twinned martensite
Definition. (Compatibility condition) Two positive-definite symmetric
stretch tensors Ui and Uj are compatible if:
, where Q is a rotation, n is the normal direction of interface, a and Q
are to be decided.
Result 2 (Mallard’s Law)[KB Result 5.2]
Given F and G as positive definite tensors, (i) F=Q’FR for some rotation Q’ and some
180° rotation R with axis ê; (ii)FTF≠GTG, then one rotation Q, vector a ≠ 0, |n|=1,	
 
s.t.
And there are exactly two solutions given as follow: (ρ is chosen to let |n|=1)
QF -G = a⊗n
QUj -Ui = a⊗n
(Type Ι) a= 2
G−T
ˆe
|G−T
ˆe|
− Gˆe
⎛
⎝
⎜
⎞
⎠
⎟ ; n= ˆe
∃
(Type ΙΙ) a= ρGˆe; n=
2
ρ
ˆe−
GT
Gˆe
|Gˆe|2
⎛
⎝
⎜
⎞
⎠
⎟
Need	
  to	
  sa5sfy	
  some	
  condi5ons;	
  
Usually	
  there	
  are	
  TWO	
  solu5ons	
  
for	
  each	
  pair	
  of	
  {F,G}	
  ;	
  
Austenite-Martensite Interface
QUi -I = a⊗n
QUj -Ui = a⊗n;
Q'(λQUj +(1-λ)Ui ) =I+b⊗m
(★)	
  
(★★)	
  
Fig 16.
Austenite-Martensite Interface
QUi -I = a⊗n
QUj -Ui = a⊗n;
Q'(λQUj +(1-λ)Ui ) =I+b⊗m
(★)	
  
(★★)	
  
R'(Ui +λa⊗n) =I+b⊗m
Need to check middle eigenvalue of is 1.
Which is equivalent to check:
Order of g(λ) ≤ 6, actually it’s at most quadratic in λ
and it’s symmetric with 1/2. so it has form:
And g(λ) has a root in (0,1) ç g(0)g(1/2) ≤	
 0. and use this get one condition;
Another condition is that from 1 is the middle eigenvalue ç (λ1-1)(1-λ3) ≥	
 0
Gλ = (Ui +λa⊗n)(Ui +λn⊗ a)
g λ( )= det Ui
+ λn⊗a( ) Ui
+ λa⊗n( )−I⎡
⎣
⎤
⎦ = 0
g λ( )= β λ −1/ 2( )
2
+ η
Austenite-Martensite Interface
Result 3 [KB Result 7.1]
Given Ui and vector a, n that satisfy the twinning equation (★), we can obtain a
solution to the aust.-martensite interface equation (★★), using following procedure:
(Step 1) Calculate:
The austenite-martensite interface eq has a solution iff: δ ≤ -2 and η ≥ 0;
(Step 2) Calculate λ (VOlUME fraction for martensites)
(Step 3) Calculate C and find C’s three eigenvalues and corresponding eigenvectors.
And ρ is chosen to make |m|=1 and k = ±1.
b = ρ
λ3
(1− λ1
)
λ3
− λ1
ˆe1
+k
λ1
(λ3
−1)
λ3
− λ1
ˆe3
⎛
⎝
⎜
⎜
⎞
⎠
⎟
⎟
m=
λ3
− λ1
ρ λ3
− λ1
− 1− λ1
ˆe1
+k λ3
−1ˆe3( )
Need	
  to	
  sa5sfy	
  some	
  condi5ons;	
  
Usually	
  there	
  are	
  Four	
  solu5ons	
  for	
  
each	
  pair	
  of	
  {Ui,	
  Uj}	
  ;	
  
QUi -I = a⊗n
QUj -Ui = a⊗n;
Q'(λQUj +(1-λ)Ui ) =I+b⊗m
(★)	
  
(★★)	
  
δ = a⋅Ui
Ui
2
−I( )
−1
n; η= tr Ui
2
( )−det Ui
2
( )− 2 +
| a|2
2δ
λ* =
1
2
1− 1+
2
δ
⎛
⎝
⎜
⎞
⎠
⎟ λ = λ* or (1-λ*)
C = Ui
+ λn⊗a( ) Ui
+ λa⊗n( )
Austenite-Martensite Interface
QUi -I = a⊗n
QUj -Ui = a⊗n;
Q'(λQUj +(1-λ)Ui ) =I+b⊗m
(★)	
  
(★★)	
  
R'(Ui +λa⊗n) =I+b⊗m
What if
Order of g(λ) < 2, β=0; g(λ) has a root in (0,1),
Now, λ is free only if belongs to (0,1).
Another condition is that from 1 is the middle eigenvalue ç (λ1-1)(1-λ3) ≥	
 0
g λ( )= det Ui
+ λn⊗a( ) Ui
+ λa⊗n( )−I⎡
⎣
⎤
⎦ = β λ −1/ 2( )
2
+ η
g λ( )= η= constant ≡ 0
Cofactor conditions
•  Under certain denegeracy conditions on the input data U, a, n, there can be
additional solutions of (★★), and these conditions called cofactor conditions:
	
  
•  Simplified equivalent form: (Study of the cofactor condition. JMPS 2566-2587(2013))
QUi -I = a⊗n
QUj -Ui = a⊗n;
Q'(λQUj +(1-λ)Ui ) =I+b⊗m
(★)	
  
(★★)	
  
λ2
=1
a⋅Ucof U2
−I( )n= 0
trU2
−detU2
−
| a|2
|n|2
4
− 2 ≥ 0
λ2
=1
XI
:=|U-1
ˆe|=1 for Type I twin
XII
:=|Uˆe|=1 for Type II twin
-­‐1/2	
  β	
  	
  ß	
  
PART Three
Energy barriers of
Aust.-Mart. Interface
transition layers
Conditions to minimize hysteresis
•  Conditions:
•  Geometrical explanations of these conditions:
1)  det U = 1 means no volume change
2)  middle eigenvalue is 1 means there is an invariant plane btw Aust. and Mart.
3)  cofactor conditions imply infinite # of compatible interfaces btw Aust. and Mart.
Objective in this group meeting talk:
--- Minimization of hysteresis of transformation
det U( )=1
λ2
=1
a⋅Ucof U2
−I( )n= 0
trU2
−detU2
−
| a|2
|n|2
4
− 2 ≥ 0
det U( )=1
λ2
=1
XI
:=|U-1
ˆe|=1 for Type I twin
XII
:=|Uˆe|=1 for Type II twin
or	
  
A simple transition layer
C−I = f ⊗m
Cv = Av
Cw = Bw
We can check there is solution for C:
C = I+ f ⊗m; f =b+
ε
α
λ 1-λ( )a
Using linear elasticity theory, we can see
the C region’s energy:
Area of C region:
Energy:
εα
2m⋅n⊥
E = Area
µ
2
1
2
CA−1
− I( )+ CA−1
− I( )
T
( )
2
⎡
⎣⎢
⎤
⎦⎥
⎛
⎝⎜
⎞
⎠⎟
=
εαw
2m⋅n⊥
µλ2
4
a⋅cλ( )2
+ | a |2
| cλ |2
( )⎛
⎝⎜
⎞
⎠⎟
where cλ = A−T
n +
ε
α
1− λ( )A−T
m
min
α
E ⇒ εwhµλ2
1− λ( )ξ
Fig 17.
A simple transition layer
Where ξ is geometric factor related with
m, n, A, a;
And it’s can be changed largely as for
various twin systems for Ti50Ni50-xPdx,
x~11:
From 2000 ~ 160000
E =
2κwhl
ε
+ εwhµλ2
1− λ( )ξ
+ϕ A,θ( )whl +ϕ I,θ( )wh L − l( )
min
α
E ⇒ εwhµλ2
1− λ( )ξ
Introduce facial energy per unit area κ:
min
ε
E = 2whλ 2κµl 1− λ( )ξ
+ whl ϕ A,θ( )−ϕ I,θ( )( )+ const
max
ε, l
E =
2λ2
whκµ 1− λ( )ξ
ϕ I,θ( )−ϕ A,θ( )( )
with lc =
2λ2
κµ 1− λ( )ξ
ϕ A,θ( )−ϕ I,θ( )( )
Fig 17.
A simple transition layer
ϕ A,θ( )−ϕ I,θ( )= L
θc −θ
θc
L = θc
∂ϕ I θc( ),θc( )
∂θ
−
∂ϕ A θc( ),θc( )
∂θ
⎛
⎝
⎜
⎞
⎠
⎟
Do Tayor expansion for φ near θc:
Let’s identify hysteresis size
H = 2 θc −θ( )
=
2λθc
L
2κµ 1− λ( )ξ
lc
min
ε
E = 2whλ 2κµl 1− λ( )ξ
+ whl ϕ A,θ( )−ϕ I,θ( )( )+ const
min
ε, l
E =
2λ2
whκµ 1− λ( )ξ
ϕ I,θ( )−ϕ A,θ( )( )
with lc =
2λ2
κµ 1− λ( )ξ
ϕ A,θ( )−ϕ I,θ( )( )
Fig 17.
General Case
H = 2 θc −θ( )
=
2λθc
L
2κµ 1− λ( )ξ
lc
Some Gamma-Convergence Problem
Fig 18.
PART Four
New Fancy SMA
•  Nature, (Oct 3, 2013; Vol 502; Page 85-88)
•  Enhanced reversibility and unusual microstructure of a
phase-transforming material
•  Zn45AuxCu(55-x) (20 ≤	
 x	
 ≤30) (Cofactor conditions satisfied)
Theory driven to find –or- create new materials
Functional stability of AuxCu55-xZn45 alloys during thermal cycling
Fig 19.
Unusual microstructure
Various hierarchical
microstructures in Au30
Fig 20.
Why Riverine microstructure is possible?
a.  Planar phase boundary (transition layer);
b.  Planar phase boundary without Trans-L;
c.  A triple junction formed by Aust. & type I
Mart. twin pair;
d.  (c)‘s 2D projection;
e.  A quad junction formed by four variants;
f.  (e)’s 2D projection;
g.  Curved phase boundary and riverine
microstructure.
Fig 21.
Details of riverine microstructure
Fined twinned & zig-zag boundaries
Fig 22.
References
1.  [KB] Bhattacharya K. Microstructure of martensite: why it forms and how it gives rise
to the shape-memory effect[M]. Oxford University Press, 2003.
2.  Song Y, Chen X, Dabade V, et al. Enhanced reversibility and unusual microstructure of
a phase-transforming material[J]. Nature, 2013, 502(7469): 85-88.
3.  Chen X, Srivastava V, Dabade V, et al. Study of the cofactor conditions: Conditions of
supercompatibility between phases[J]. Journal of the Mechanics and Physics of
Solids, 2013, 61(12): 2566-2587.
4.  Zhang Z, James R D, Müller S. Energy barriers and hysteresis in martensitic phase
transformations[J]. Acta Materialia, 2009, 57(15): 4332-4352.
5.  James R D, Zhang Z. A way to search for multiferroic materials with “unlikely”
combinations of physical properties[M]//Magnetism and structure in functional
materials. Springer Berlin Heidelberg, 2005: 159-175.
6.  Cui J, Chu Y S, Famodu O O, et al. Combinatorial search of thermoelastic shape-
memory alloys with extremely small hysteresis width[J]. Nature materials, 2006, 5(4):
286-290.
7.  Zarnetta R, Takahashi R, Young M L, et al. Identification of Quaternary Shape Memory
Alloys with Near‐Zero Thermal Hysteresis and Unprecedented Functional Stability[J].
Advanced Functional Materials, 2010, 20(12): 1917-1923.
Thanks Gal for help me understand one Shu’s paper!
Thank you !
Jin Yang
yangjin@caltech.edu

More Related Content

What's hot

Microscopic inspection of pure metals and solid solutions.
Microscopic inspection of pure metals and solid solutions. Microscopic inspection of pure metals and solid solutions.
Microscopic inspection of pure metals and solid solutions. Saif al-din ali
 
Lecture 2.pdf
Lecture 2.pdfLecture 2.pdf
Lecture 2.pdfYesuf3
 
Chapter 9 phase diagrams 1
Chapter 9 phase diagrams 1Chapter 9 phase diagrams 1
Chapter 9 phase diagrams 1Meelu Qazi
 
Metallurgy basics (Iron phase diagram)
Metallurgy basics (Iron phase diagram)Metallurgy basics (Iron phase diagram)
Metallurgy basics (Iron phase diagram)Piyush Verma
 
Fracture Toughness I by Carl Ziegler
Fracture Toughness I by Carl ZieglerFracture Toughness I by Carl Ziegler
Fracture Toughness I by Carl ZieglerSMT_Materials
 
Metallurgy P R O P E R T I E S And Definitions
Metallurgy   P R O P E R T I E S And DefinitionsMetallurgy   P R O P E R T I E S And Definitions
Metallurgy P R O P E R T I E S And DefinitionsMoiz Barry
 
Phase transformation (Material Science)
Phase transformation (Material Science)Phase transformation (Material Science)
Phase transformation (Material Science)Myo Zin Aung
 
CCt Curve (continuos cooling transformation)
CCt Curve (continuos cooling transformation)CCt Curve (continuos cooling transformation)
CCt Curve (continuos cooling transformation)Avinash Navin
 
Ch5 metalworkproc Erdi Karaçal Mechanical Engineer University of Gaziantep
Ch5 metalworkproc Erdi Karaçal Mechanical Engineer University of GaziantepCh5 metalworkproc Erdi Karaçal Mechanical Engineer University of Gaziantep
Ch5 metalworkproc Erdi Karaçal Mechanical Engineer University of GaziantepErdi Karaçal
 
Phase Transformations in solids.ppt
Phase Transformations in solids.pptPhase Transformations in solids.ppt
Phase Transformations in solids.pptHamza Suharwardi
 
Shape memory alloys and its applications
Shape memory alloys and its applicationsShape memory alloys and its applications
Shape memory alloys and its applicationsNaga Muruga
 
Theory of superconductivity
Theory of superconductivityTheory of superconductivity
Theory of superconductivityKumar
 
Nickel -Titanium alloys (NiTi) PPT.pptx
Nickel -Titanium alloys (NiTi) PPT.pptxNickel -Titanium alloys (NiTi) PPT.pptx
Nickel -Titanium alloys (NiTi) PPT.pptxMohammedgumaan1
 

What's hot (20)

Microscopic inspection of pure metals and solid solutions.
Microscopic inspection of pure metals and solid solutions. Microscopic inspection of pure metals and solid solutions.
Microscopic inspection of pure metals and solid solutions.
 
Lecture 2.pdf
Lecture 2.pdfLecture 2.pdf
Lecture 2.pdf
 
Chapter 9 phase diagrams 1
Chapter 9 phase diagrams 1Chapter 9 phase diagrams 1
Chapter 9 phase diagrams 1
 
Metallurgy basics (Iron phase diagram)
Metallurgy basics (Iron phase diagram)Metallurgy basics (Iron phase diagram)
Metallurgy basics (Iron phase diagram)
 
Phase diagrams
Phase diagramsPhase diagrams
Phase diagrams
 
Fracture Toughness I by Carl Ziegler
Fracture Toughness I by Carl ZieglerFracture Toughness I by Carl Ziegler
Fracture Toughness I by Carl Ziegler
 
Chapter 7 Phase Equilibrium Diagram
Chapter 7 Phase Equilibrium DiagramChapter 7 Phase Equilibrium Diagram
Chapter 7 Phase Equilibrium Diagram
 
F chapter 5
F chapter 5F chapter 5
F chapter 5
 
Metallurgy P R O P E R T I E S And Definitions
Metallurgy   P R O P E R T I E S And DefinitionsMetallurgy   P R O P E R T I E S And Definitions
Metallurgy P R O P E R T I E S And Definitions
 
Phase transformation (Material Science)
Phase transformation (Material Science)Phase transformation (Material Science)
Phase transformation (Material Science)
 
CCt Curve (continuos cooling transformation)
CCt Curve (continuos cooling transformation)CCt Curve (continuos cooling transformation)
CCt Curve (continuos cooling transformation)
 
Ch5 metalworkproc Erdi Karaçal Mechanical Engineer University of Gaziantep
Ch5 metalworkproc Erdi Karaçal Mechanical Engineer University of GaziantepCh5 metalworkproc Erdi Karaçal Mechanical Engineer University of Gaziantep
Ch5 metalworkproc Erdi Karaçal Mechanical Engineer University of Gaziantep
 
Phase Transformations in solids.ppt
Phase Transformations in solids.pptPhase Transformations in solids.ppt
Phase Transformations in solids.ppt
 
Annealing
Annealing Annealing
Annealing
 
Fracture Mechanics & Failure Analysis: creep and stress rupture
Fracture Mechanics & Failure Analysis: creep and stress ruptureFracture Mechanics & Failure Analysis: creep and stress rupture
Fracture Mechanics & Failure Analysis: creep and stress rupture
 
Shape memory alloys and its applications
Shape memory alloys and its applicationsShape memory alloys and its applications
Shape memory alloys and its applications
 
Advances in Special Steel Lecture series b - 2 (displacive transformation, m...
Advances in Special Steel Lecture series  b - 2 (displacive transformation, m...Advances in Special Steel Lecture series  b - 2 (displacive transformation, m...
Advances in Special Steel Lecture series b - 2 (displacive transformation, m...
 
Diagramas de pourbaix
Diagramas de pourbaixDiagramas de pourbaix
Diagramas de pourbaix
 
Theory of superconductivity
Theory of superconductivityTheory of superconductivity
Theory of superconductivity
 
Nickel -Titanium alloys (NiTi) PPT.pptx
Nickel -Titanium alloys (NiTi) PPT.pptxNickel -Titanium alloys (NiTi) PPT.pptx
Nickel -Titanium alloys (NiTi) PPT.pptx
 

Similar to Decrease hysteresis for Shape Memory Alloys

The lattice Boltzmann equation: background, boundary conditions, and Burnett-...
The lattice Boltzmann equation: background, boundary conditions, and Burnett-...The lattice Boltzmann equation: background, boundary conditions, and Burnett-...
The lattice Boltzmann equation: background, boundary conditions, and Burnett-...Tim Reis
 
Mit2 092 f09_lec20
Mit2 092 f09_lec20Mit2 092 f09_lec20
Mit2 092 f09_lec20Rahman Hakim
 
Direct method for soliton solution
Direct method for soliton solutionDirect method for soliton solution
Direct method for soliton solutionMOHANRAJ PHYSICS
 
A Fibonacci-like universe expansion on time-scale
A Fibonacci-like universe expansion on time-scaleA Fibonacci-like universe expansion on time-scale
A Fibonacci-like universe expansion on time-scaleOctavianPostavaru
 
TwoLevelMedium
TwoLevelMediumTwoLevelMedium
TwoLevelMediumJohn Paul
 
185817220 7e chapter5sm-final-newfrank-white-fluid-mechanics-7th-ed-ch-5-solu...
185817220 7e chapter5sm-final-newfrank-white-fluid-mechanics-7th-ed-ch-5-solu...185817220 7e chapter5sm-final-newfrank-white-fluid-mechanics-7th-ed-ch-5-solu...
185817220 7e chapter5sm-final-newfrank-white-fluid-mechanics-7th-ed-ch-5-solu...Abrar Hussain
 
Qualification Exam Classical Mechanics.pdf
Qualification Exam Classical Mechanics.pdfQualification Exam Classical Mechanics.pdf
Qualification Exam Classical Mechanics.pdfgustavo54orihuelahot
 
JEE Main 2020 Question Paper With Solution 08 Jan 2020 Shift 1 Memory Based
JEE Main 2020 Question Paper With Solution 08 Jan 2020 Shift 1 Memory BasedJEE Main 2020 Question Paper With Solution 08 Jan 2020 Shift 1 Memory Based
JEE Main 2020 Question Paper With Solution 08 Jan 2020 Shift 1 Memory BasedMiso Study
 
Estimation of the score vector and observed information matrix in intractable...
Estimation of the score vector and observed information matrix in intractable...Estimation of the score vector and observed information matrix in intractable...
Estimation of the score vector and observed information matrix in intractable...Pierre Jacob
 
Mit2 092 f09_lec06
Mit2 092 f09_lec06Mit2 092 f09_lec06
Mit2 092 f09_lec06Rahman Hakim
 
25 johnarry tonye ngoji 250-263
25 johnarry tonye ngoji 250-26325 johnarry tonye ngoji 250-263
25 johnarry tonye ngoji 250-263Alexander Decker
 
ep ppt of it .pptx
ep ppt of it .pptxep ppt of it .pptx
ep ppt of it .pptxbsabjdsv
 
Admissions in India 2015
Admissions in India 2015Admissions in India 2015
Admissions in India 2015Edhole.com
 
Iterative procedure for uniform continuous mapping.
Iterative procedure for uniform continuous mapping.Iterative procedure for uniform continuous mapping.
Iterative procedure for uniform continuous mapping.Alexander Decker
 

Similar to Decrease hysteresis for Shape Memory Alloys (20)

The lattice Boltzmann equation: background, boundary conditions, and Burnett-...
The lattice Boltzmann equation: background, boundary conditions, and Burnett-...The lattice Boltzmann equation: background, boundary conditions, and Burnett-...
The lattice Boltzmann equation: background, boundary conditions, and Burnett-...
 
Mit2 092 f09_lec20
Mit2 092 f09_lec20Mit2 092 f09_lec20
Mit2 092 f09_lec20
 
CMSI計算科学技術特論C (2015) ALPS と量子多体問題①
CMSI計算科学技術特論C (2015) ALPS と量子多体問題①CMSI計算科学技術特論C (2015) ALPS と量子多体問題①
CMSI計算科学技術特論C (2015) ALPS と量子多体問題①
 
Direct method for soliton solution
Direct method for soliton solutionDirect method for soliton solution
Direct method for soliton solution
 
A Fibonacci-like universe expansion on time-scale
A Fibonacci-like universe expansion on time-scaleA Fibonacci-like universe expansion on time-scale
A Fibonacci-like universe expansion on time-scale
 
Statistics Homework Help
Statistics Homework HelpStatistics Homework Help
Statistics Homework Help
 
Multiple Linear Regression Homework Help
Multiple Linear Regression Homework HelpMultiple Linear Regression Homework Help
Multiple Linear Regression Homework Help
 
TwoLevelMedium
TwoLevelMediumTwoLevelMedium
TwoLevelMedium
 
185817220 7e chapter5sm-final-newfrank-white-fluid-mechanics-7th-ed-ch-5-solu...
185817220 7e chapter5sm-final-newfrank-white-fluid-mechanics-7th-ed-ch-5-solu...185817220 7e chapter5sm-final-newfrank-white-fluid-mechanics-7th-ed-ch-5-solu...
185817220 7e chapter5sm-final-newfrank-white-fluid-mechanics-7th-ed-ch-5-solu...
 
Qualification Exam Classical Mechanics.pdf
Qualification Exam Classical Mechanics.pdfQualification Exam Classical Mechanics.pdf
Qualification Exam Classical Mechanics.pdf
 
JEE Main 2020 Question Paper With Solution 08 Jan 2020 Shift 1 Memory Based
JEE Main 2020 Question Paper With Solution 08 Jan 2020 Shift 1 Memory BasedJEE Main 2020 Question Paper With Solution 08 Jan 2020 Shift 1 Memory Based
JEE Main 2020 Question Paper With Solution 08 Jan 2020 Shift 1 Memory Based
 
Estimation of the score vector and observed information matrix in intractable...
Estimation of the score vector and observed information matrix in intractable...Estimation of the score vector and observed information matrix in intractable...
Estimation of the score vector and observed information matrix in intractable...
 
PCA on graph/network
PCA on graph/networkPCA on graph/network
PCA on graph/network
 
Mit2 092 f09_lec06
Mit2 092 f09_lec06Mit2 092 f09_lec06
Mit2 092 f09_lec06
 
25 johnarry tonye ngoji 250-263
25 johnarry tonye ngoji 250-26325 johnarry tonye ngoji 250-263
25 johnarry tonye ngoji 250-263
 
Ch03 9
Ch03 9Ch03 9
Ch03 9
 
ep ppt of it .pptx
ep ppt of it .pptxep ppt of it .pptx
ep ppt of it .pptx
 
Admissions in India 2015
Admissions in India 2015Admissions in India 2015
Admissions in India 2015
 
Iterative procedure for uniform continuous mapping.
Iterative procedure for uniform continuous mapping.Iterative procedure for uniform continuous mapping.
Iterative procedure for uniform continuous mapping.
 
Sect5 4
Sect5 4Sect5 4
Sect5 4
 

Recently uploaded

Grafana in space: Monitoring Japan's SLIM moon lander in real time
Grafana in space: Monitoring Japan's SLIM moon lander  in real timeGrafana in space: Monitoring Japan's SLIM moon lander  in real time
Grafana in space: Monitoring Japan's SLIM moon lander in real timeSatoshi NAKAHIRA
 
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptxTHE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptxNandakishor Bhaurao Deshmukh
 
Pests of safflower_Binomics_Identification_Dr.UPR.pdf
Pests of safflower_Binomics_Identification_Dr.UPR.pdfPests of safflower_Binomics_Identification_Dr.UPR.pdf
Pests of safflower_Binomics_Identification_Dr.UPR.pdfPirithiRaju
 
Vision and reflection on Mining Software Repositories research in 2024
Vision and reflection on Mining Software Repositories research in 2024Vision and reflection on Mining Software Repositories research in 2024
Vision and reflection on Mining Software Repositories research in 2024AyushiRastogi48
 
Forest laws, Indian forest laws, why they are important
Forest laws, Indian forest laws, why they are importantForest laws, Indian forest laws, why they are important
Forest laws, Indian forest laws, why they are importantadityabhardwaj282
 
Twin's paradox experiment is a meassurement of the extra dimensions.pptx
Twin's paradox experiment is a meassurement of the extra dimensions.pptxTwin's paradox experiment is a meassurement of the extra dimensions.pptx
Twin's paradox experiment is a meassurement of the extra dimensions.pptxEran Akiva Sinbar
 
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxAnalytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxSwapnil Therkar
 
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.aasikanpl
 
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptxRESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptxFarihaAbdulRasheed
 
Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Patrick Diehl
 
TOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physicsTOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physicsssuserddc89b
 
GenBio2 - Lesson 1 - Introduction to Genetics.pptx
GenBio2 - Lesson 1 - Introduction to Genetics.pptxGenBio2 - Lesson 1 - Introduction to Genetics.pptx
GenBio2 - Lesson 1 - Introduction to Genetics.pptxBerniceCayabyab1
 
Manassas R - Parkside Middle School 🌎🏫
Manassas R - Parkside Middle School 🌎🏫Manassas R - Parkside Middle School 🌎🏫
Manassas R - Parkside Middle School 🌎🏫qfactory1
 
Pests of jatropha_Bionomics_identification_Dr.UPR.pdf
Pests of jatropha_Bionomics_identification_Dr.UPR.pdfPests of jatropha_Bionomics_identification_Dr.UPR.pdf
Pests of jatropha_Bionomics_identification_Dr.UPR.pdfPirithiRaju
 
BREEDING FOR RESISTANCE TO BIOTIC STRESS.pptx
BREEDING FOR RESISTANCE TO BIOTIC STRESS.pptxBREEDING FOR RESISTANCE TO BIOTIC STRESS.pptx
BREEDING FOR RESISTANCE TO BIOTIC STRESS.pptxPABOLU TEJASREE
 
Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)DHURKADEVIBASKAR
 
Artificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PArtificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PPRINCE C P
 
STOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptx
STOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptxSTOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptx
STOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptxMurugaveni B
 

Recently uploaded (20)

Grafana in space: Monitoring Japan's SLIM moon lander in real time
Grafana in space: Monitoring Japan's SLIM moon lander  in real timeGrafana in space: Monitoring Japan's SLIM moon lander  in real time
Grafana in space: Monitoring Japan's SLIM moon lander in real time
 
Engler and Prantl system of classification in plant taxonomy
Engler and Prantl system of classification in plant taxonomyEngler and Prantl system of classification in plant taxonomy
Engler and Prantl system of classification in plant taxonomy
 
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
 
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptxTHE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
 
Pests of safflower_Binomics_Identification_Dr.UPR.pdf
Pests of safflower_Binomics_Identification_Dr.UPR.pdfPests of safflower_Binomics_Identification_Dr.UPR.pdf
Pests of safflower_Binomics_Identification_Dr.UPR.pdf
 
Vision and reflection on Mining Software Repositories research in 2024
Vision and reflection on Mining Software Repositories research in 2024Vision and reflection on Mining Software Repositories research in 2024
Vision and reflection on Mining Software Repositories research in 2024
 
Forest laws, Indian forest laws, why they are important
Forest laws, Indian forest laws, why they are importantForest laws, Indian forest laws, why they are important
Forest laws, Indian forest laws, why they are important
 
Twin's paradox experiment is a meassurement of the extra dimensions.pptx
Twin's paradox experiment is a meassurement of the extra dimensions.pptxTwin's paradox experiment is a meassurement of the extra dimensions.pptx
Twin's paradox experiment is a meassurement of the extra dimensions.pptx
 
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxAnalytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
 
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
 
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptxRESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
 
Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?
 
TOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physicsTOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physics
 
GenBio2 - Lesson 1 - Introduction to Genetics.pptx
GenBio2 - Lesson 1 - Introduction to Genetics.pptxGenBio2 - Lesson 1 - Introduction to Genetics.pptx
GenBio2 - Lesson 1 - Introduction to Genetics.pptx
 
Manassas R - Parkside Middle School 🌎🏫
Manassas R - Parkside Middle School 🌎🏫Manassas R - Parkside Middle School 🌎🏫
Manassas R - Parkside Middle School 🌎🏫
 
Pests of jatropha_Bionomics_identification_Dr.UPR.pdf
Pests of jatropha_Bionomics_identification_Dr.UPR.pdfPests of jatropha_Bionomics_identification_Dr.UPR.pdf
Pests of jatropha_Bionomics_identification_Dr.UPR.pdf
 
BREEDING FOR RESISTANCE TO BIOTIC STRESS.pptx
BREEDING FOR RESISTANCE TO BIOTIC STRESS.pptxBREEDING FOR RESISTANCE TO BIOTIC STRESS.pptx
BREEDING FOR RESISTANCE TO BIOTIC STRESS.pptx
 
Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)
 
Artificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PArtificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C P
 
STOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptx
STOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptxSTOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptx
STOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptx
 

Decrease hysteresis for Shape Memory Alloys

  • 1. Decrease hysteresis for Shape Memory Alloys Jin Yang; Caltech MCE Grad Email: yangjin@caltech.edu
  • 3. PART ONE Introduction of Shape Memory Effects
  • 4. Two Stable phases at different temperature Fig 1. Different phases of an SMA
  • 5. SMA’s Phase Transition Fig 2. Martensite Fraction v.s. Temperature Ms : Austensite -> Martensite Start Temperature Mf : Austensite -> Martensite Finish Temperature As : Martensite -> Austensite Start Temperature Af : Martensite -> Austensite Finish Temperature A A M M Hysteresis size = ½ (As – Af + Ms - Mf)
  • 6. How SMA works ? One path-loading Fig 3. Shape Memory Effect of an SMA. M D-M A
  • 7. Example about # of Variants of Martensite [KB03] Fig 4. Example of many “cubic-tetragonal” martensite variants.
  • 8. How SMA works ? One path-loading M D-M A T-M Fig 5. Fig 6. Loading path.
  • 9. Austenite directly to detwinned martensite Fig 7. Temperature-induced phase transformation with applied load. D-M A
  • 10. Austenite directly to detwinned martensite M D-M A Fig 8. Fig 9. Thermomechanical  loading
  • 11. Pseudoelastic Behavior Fig 10. Pseudoelastic loading path D-M Fig 11. Pseudoelastic stress-strain diagram.
  • 12. Summary: Shape memory alloy (SMA) phases and crystal structures Fig 12. How SMA works.
  • 13. ①  Maximum recoverable strain ②  Thermal/Stress Hysteresis size ③  Shift of transition temperatures ④  Other fatigue and plasticity problems and other factors, e.g. expenses… What SMA’s pratical properties we care about ? Fig 13. SMA hysteresis & shift temp.
  • 14. SMA  facing  challenges!   •  High  expenses;   •  Fa5gue  Problem;   •  Large  temperature/stress  hysteresis   •  Narrow  temperature  range  of  opera5on   •  Reliability  
  • 15. •  Since  the  crystal  laCce  of  the  martensi5c  phase  has   lower  symmetry  than  that  of  the  parent  austeni5c   phase,  several  variants  of  martensite  can  be  formed   from  the  same  parent  phase  crystal.   •  Parent  and  product  phases  coexist  during  the  phase   transforma5on,  since  it  is  a  first  order  transi5on,  and   as  a  result  there  exists  an  invariant  plane  (relates  to   middle  eigenvalue  is  1),  which  separates  the  parent   and  product  phases.     Summary: Shape memory alloy (SMA) phases and crystal structures
  • 17. QUj -Ui = a⊗n •  Nature Materials, (April 2006; Vol 5; Page 286-290) •  Combinatorial search of thermoelastic shape-memory alloys with extremely small hysteresis width •  Ni-Ti-Cu & Ni-Ti-Pb New findings: extremely small hysteresis width when λ2 è 1 Fig 14.
  • 18. QUj -Ui = a⊗n •  Adv. Funct. Mater. (2010), 20, 1917–1923 •  Identification of Quaternary Shape Memory Alloys with Near-Zero Thermal Hysteresis and Unprecedented Functional Stability New findings: extremely small hysteresis width when λ2 è 1 Fig 15.
  • 19. Conditions of compatibility for twinned martensite Definition. (Compatibility condition) Two positive-definite symmetric stretch tensors Ui and Uj are compatible if: , where Q is a rotation, n is the normal direction of interface, a and Q are to be decided. Result 1 [KB Result 5.1] Given F and G as positive definite tensors, rotation Q, vector a ≠ 0, |n|=1, s.t. iff: (1) C = G-TFTFG-1≠Identity (2) eigenvalues of C satisfy: λ1 ≤ λ2 =1 ≤ λ3 And there are exactly two solutions given as follow: (k=±1, ρ is chosen to let |n|=1) ∃ QF -G = a⊗n QUj -Ui = a⊗n a= ρ λ3 1− λ1( ) λ3 − λ1 ˆe1 +k λ1 λ3 −1( ) λ3 − λ1 ˆe3 ⎛ ⎝ ⎜ ⎜ ⎞ ⎠ ⎟ ⎟ ; n= λ3 − λ1 ρ λ3 − λ1 − 1− λ1 GT ˆe1 +k λ3 −1GT ˆe3( )
  • 20. Conditions of compatibility for twinned martensite Definition. (Compatibility condition) Two positive-definite symmetric stretch tensors Ui and Uj are compatible if: , where Q is a rotation, n is the normal direction of interface, a and Q are to be decided. Result 2 (Mallard’s Law)[KB Result 5.2] Given F and G as positive definite tensors, (i) F=Q’FR for some rotation Q’ and some 180° rotation R with axis ê; (ii)FTF≠GTG, then one rotation Q, vector a ≠ 0, |n|=1, s.t. And there are exactly two solutions given as follow: (ρ is chosen to let |n|=1) QF -G = a⊗n QUj -Ui = a⊗n (Type Ι) a= 2 G−T ˆe |G−T ˆe| − Gˆe ⎛ ⎝ ⎜ ⎞ ⎠ ⎟ ; n= ˆe ∃ (Type ΙΙ) a= ρGˆe; n= 2 ρ ˆe− GT Gˆe |Gˆe|2 ⎛ ⎝ ⎜ ⎞ ⎠ ⎟ Need  to  sa5sfy  some  condi5ons;   Usually  there  are  TWO  solu5ons   for  each  pair  of  {F,G}  ;  
  • 21. Austenite-Martensite Interface QUi -I = a⊗n QUj -Ui = a⊗n; Q'(λQUj +(1-λ)Ui ) =I+b⊗m (★)   (★★)   Fig 16.
  • 22. Austenite-Martensite Interface QUi -I = a⊗n QUj -Ui = a⊗n; Q'(λQUj +(1-λ)Ui ) =I+b⊗m (★)   (★★)   R'(Ui +λa⊗n) =I+b⊗m Need to check middle eigenvalue of is 1. Which is equivalent to check: Order of g(λ) ≤ 6, actually it’s at most quadratic in λ and it’s symmetric with 1/2. so it has form: And g(λ) has a root in (0,1) ç g(0)g(1/2) ≤ 0. and use this get one condition; Another condition is that from 1 is the middle eigenvalue ç (λ1-1)(1-λ3) ≥ 0 Gλ = (Ui +λa⊗n)(Ui +λn⊗ a) g λ( )= det Ui + λn⊗a( ) Ui + λa⊗n( )−I⎡ ⎣ ⎤ ⎦ = 0 g λ( )= β λ −1/ 2( ) 2 + η
  • 23. Austenite-Martensite Interface Result 3 [KB Result 7.1] Given Ui and vector a, n that satisfy the twinning equation (★), we can obtain a solution to the aust.-martensite interface equation (★★), using following procedure: (Step 1) Calculate: The austenite-martensite interface eq has a solution iff: δ ≤ -2 and η ≥ 0; (Step 2) Calculate λ (VOlUME fraction for martensites) (Step 3) Calculate C and find C’s three eigenvalues and corresponding eigenvectors. And ρ is chosen to make |m|=1 and k = ±1. b = ρ λ3 (1− λ1 ) λ3 − λ1 ˆe1 +k λ1 (λ3 −1) λ3 − λ1 ˆe3 ⎛ ⎝ ⎜ ⎜ ⎞ ⎠ ⎟ ⎟ m= λ3 − λ1 ρ λ3 − λ1 − 1− λ1 ˆe1 +k λ3 −1ˆe3( ) Need  to  sa5sfy  some  condi5ons;   Usually  there  are  Four  solu5ons  for   each  pair  of  {Ui,  Uj}  ;   QUi -I = a⊗n QUj -Ui = a⊗n; Q'(λQUj +(1-λ)Ui ) =I+b⊗m (★)   (★★)   δ = a⋅Ui Ui 2 −I( ) −1 n; η= tr Ui 2 ( )−det Ui 2 ( )− 2 + | a|2 2δ λ* = 1 2 1− 1+ 2 δ ⎛ ⎝ ⎜ ⎞ ⎠ ⎟ λ = λ* or (1-λ*) C = Ui + λn⊗a( ) Ui + λa⊗n( )
  • 24. Austenite-Martensite Interface QUi -I = a⊗n QUj -Ui = a⊗n; Q'(λQUj +(1-λ)Ui ) =I+b⊗m (★)   (★★)   R'(Ui +λa⊗n) =I+b⊗m What if Order of g(λ) < 2, β=0; g(λ) has a root in (0,1), Now, λ is free only if belongs to (0,1). Another condition is that from 1 is the middle eigenvalue ç (λ1-1)(1-λ3) ≥ 0 g λ( )= det Ui + λn⊗a( ) Ui + λa⊗n( )−I⎡ ⎣ ⎤ ⎦ = β λ −1/ 2( ) 2 + η g λ( )= η= constant ≡ 0
  • 25. Cofactor conditions •  Under certain denegeracy conditions on the input data U, a, n, there can be additional solutions of (★★), and these conditions called cofactor conditions:   •  Simplified equivalent form: (Study of the cofactor condition. JMPS 2566-2587(2013)) QUi -I = a⊗n QUj -Ui = a⊗n; Q'(λQUj +(1-λ)Ui ) =I+b⊗m (★)   (★★)   λ2 =1 a⋅Ucof U2 −I( )n= 0 trU2 −detU2 − | a|2 |n|2 4 − 2 ≥ 0 λ2 =1 XI :=|U-1 ˆe|=1 for Type I twin XII :=|Uˆe|=1 for Type II twin -­‐1/2  β    ß  
  • 26. PART Three Energy barriers of Aust.-Mart. Interface transition layers
  • 27. Conditions to minimize hysteresis •  Conditions: •  Geometrical explanations of these conditions: 1)  det U = 1 means no volume change 2)  middle eigenvalue is 1 means there is an invariant plane btw Aust. and Mart. 3)  cofactor conditions imply infinite # of compatible interfaces btw Aust. and Mart. Objective in this group meeting talk: --- Minimization of hysteresis of transformation det U( )=1 λ2 =1 a⋅Ucof U2 −I( )n= 0 trU2 −detU2 − | a|2 |n|2 4 − 2 ≥ 0 det U( )=1 λ2 =1 XI :=|U-1 ˆe|=1 for Type I twin XII :=|Uˆe|=1 for Type II twin or  
  • 28. A simple transition layer C−I = f ⊗m Cv = Av Cw = Bw We can check there is solution for C: C = I+ f ⊗m; f =b+ ε α λ 1-λ( )a Using linear elasticity theory, we can see the C region’s energy: Area of C region: Energy: εα 2m⋅n⊥ E = Area µ 2 1 2 CA−1 − I( )+ CA−1 − I( ) T ( ) 2 ⎡ ⎣⎢ ⎤ ⎦⎥ ⎛ ⎝⎜ ⎞ ⎠⎟ = εαw 2m⋅n⊥ µλ2 4 a⋅cλ( )2 + | a |2 | cλ |2 ( )⎛ ⎝⎜ ⎞ ⎠⎟ where cλ = A−T n + ε α 1− λ( )A−T m min α E ⇒ εwhµλ2 1− λ( )ξ Fig 17.
  • 29. A simple transition layer Where ξ is geometric factor related with m, n, A, a; And it’s can be changed largely as for various twin systems for Ti50Ni50-xPdx, x~11: From 2000 ~ 160000 E = 2κwhl ε + εwhµλ2 1− λ( )ξ +ϕ A,θ( )whl +ϕ I,θ( )wh L − l( ) min α E ⇒ εwhµλ2 1− λ( )ξ Introduce facial energy per unit area κ: min ε E = 2whλ 2κµl 1− λ( )ξ + whl ϕ A,θ( )−ϕ I,θ( )( )+ const max ε, l E = 2λ2 whκµ 1− λ( )ξ ϕ I,θ( )−ϕ A,θ( )( ) with lc = 2λ2 κµ 1− λ( )ξ ϕ A,θ( )−ϕ I,θ( )( ) Fig 17.
  • 30. A simple transition layer ϕ A,θ( )−ϕ I,θ( )= L θc −θ θc L = θc ∂ϕ I θc( ),θc( ) ∂θ − ∂ϕ A θc( ),θc( ) ∂θ ⎛ ⎝ ⎜ ⎞ ⎠ ⎟ Do Tayor expansion for φ near θc: Let’s identify hysteresis size H = 2 θc −θ( ) = 2λθc L 2κµ 1− λ( )ξ lc min ε E = 2whλ 2κµl 1− λ( )ξ + whl ϕ A,θ( )−ϕ I,θ( )( )+ const min ε, l E = 2λ2 whκµ 1− λ( )ξ ϕ I,θ( )−ϕ A,θ( )( ) with lc = 2λ2 κµ 1− λ( )ξ ϕ A,θ( )−ϕ I,θ( )( ) Fig 17.
  • 31. General Case H = 2 θc −θ( ) = 2λθc L 2κµ 1− λ( )ξ lc Some Gamma-Convergence Problem Fig 18.
  • 33. •  Nature, (Oct 3, 2013; Vol 502; Page 85-88) •  Enhanced reversibility and unusual microstructure of a phase-transforming material •  Zn45AuxCu(55-x) (20 ≤ x ≤30) (Cofactor conditions satisfied) Theory driven to find –or- create new materials
  • 34. Functional stability of AuxCu55-xZn45 alloys during thermal cycling Fig 19.
  • 36. Why Riverine microstructure is possible? a.  Planar phase boundary (transition layer); b.  Planar phase boundary without Trans-L; c.  A triple junction formed by Aust. & type I Mart. twin pair; d.  (c)‘s 2D projection; e.  A quad junction formed by four variants; f.  (e)’s 2D projection; g.  Curved phase boundary and riverine microstructure. Fig 21.
  • 37. Details of riverine microstructure Fined twinned & zig-zag boundaries Fig 22.
  • 38. References 1.  [KB] Bhattacharya K. Microstructure of martensite: why it forms and how it gives rise to the shape-memory effect[M]. Oxford University Press, 2003. 2.  Song Y, Chen X, Dabade V, et al. Enhanced reversibility and unusual microstructure of a phase-transforming material[J]. Nature, 2013, 502(7469): 85-88. 3.  Chen X, Srivastava V, Dabade V, et al. Study of the cofactor conditions: Conditions of supercompatibility between phases[J]. Journal of the Mechanics and Physics of Solids, 2013, 61(12): 2566-2587. 4.  Zhang Z, James R D, Müller S. Energy barriers and hysteresis in martensitic phase transformations[J]. Acta Materialia, 2009, 57(15): 4332-4352. 5.  James R D, Zhang Z. A way to search for multiferroic materials with “unlikely” combinations of physical properties[M]//Magnetism and structure in functional materials. Springer Berlin Heidelberg, 2005: 159-175. 6.  Cui J, Chu Y S, Famodu O O, et al. Combinatorial search of thermoelastic shape- memory alloys with extremely small hysteresis width[J]. Nature materials, 2006, 5(4): 286-290. 7.  Zarnetta R, Takahashi R, Young M L, et al. Identification of Quaternary Shape Memory Alloys with Near‐Zero Thermal Hysteresis and Unprecedented Functional Stability[J]. Advanced Functional Materials, 2010, 20(12): 1917-1923. Thanks Gal for help me understand one Shu’s paper!
  • 39. Thank you ! Jin Yang yangjin@caltech.edu