factors contributing to k-factor optimization with ecomate ® blown foams cpi orlando 2007
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Factors contributing to k-factor optimization with ecomate® blown foams
CPI Orlando 2007
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How does ecomate compare?
ecomate 141b 245fa 365mf
c
365/227
93 / 7
n-C5 cC5
Mol wt 60 117 134 148 149,6 72 70
Bpt, C 31,5 32 15,3 40,2 30 36 49
Sp Gr 0,982 1,24 1,32 1,25 1,28 0,62 0,75
Lambda 10,7 10 12,2 10,6 10,7 14* 11*
LEL/UEL 5,0 – 23,0
7,6 – 17,7 n/a 3,5 – 9,0
3,8 – 13,3
1,4 – 17,8
1,4 – 8,0
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How does ecomate comparein Foams ? Handmix Pours Comparison
Molar Substitution - in same formulation Same Index Same Surfactant amount Same Catalyst amount Same molar BA content
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BA Molar Substitution2” thick sample, 75 ºF
0.18
0.185
0.19
0.195
0.2
0.205k-factor
141b 245fa ecomate
Handmix Data ONLY
Results are Relative
ECOMATE ~ same as 245fa
k NOT SOLELY dependant on MW
0.2040.2020.187
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Thermal Conductivity Not dependant solely on:
Molecular Wt Gas λ K-Factor at standard conditions
Depends on many additional factors, including: Temperature Processing Formulation Configuration Protection
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Temperature / k-factor Dependence
k-factor change w Temperature
0.100
0.110
0.120
0.130
0.140
0.150
0.160
-40 -20 0 20 40 60 80
TEMP, F
K F
AC
TO
R
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Examine Processing Effects
Hand Mix Factorial Design Examine
Mix Time Mix Speed Pour Size Surfactant Concentration
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PROCESSING EFFECTS:HAND MIX FACTORIAL
DESIGNMIX TIME,
sec
Low 5
Mid 7.5
High 10
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PROCESSING EFFECTS:HAND MIX FACTORIAL
DESIGNMIX TIME,
secMIX SPEED,
rpm
Low 5 1000
Mid 7.5 2000
High 10 3000
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PROCESSING EFFECTS:HAND MIX FACTORIAL
DESIGNMIX TIME,
secMIX SPEED,
rpm
POUR SIZE,
gm
Low 5 1000 150
Mid 7.5 2000 225
High 10 3000 300
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PROCESSING EFFECTS:HAND MIX FACTORIAL
DESIGNMIX TIME,
secMIX SPEED,
rpm
POUR SIZE,
gm
SURF CONC,
pct
Low 5 1000 150 1
Mid 7.5 2000 225 1.5
High 10 3000 300 2
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PROCESSING EFFECTS:Handmix Results Summary
Mix Time Mix Speed Pour Size Surf. Concentration
Not significant Faster = lower λ (less BA loss) Larger = lower λ (less surface
area) More = lower λ (less BA loss)
1.00 1.25 1.50 1.75 2.00
28
29
30
C: SURF CONC
lambd
a
One Factor Plot
1000 2000 3000
28
29
30
A: MIX SPEED
lambd
a
One Factor Plot
150 200 250 300
28
29
30
B: SIZE POUR
lambd
a
One Factor Plot
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Handmix v MachineSame ecomate Formulations
0.14
0.15
0.16
0.17
0.18
0.19
0.2
J91-5 J91-6 J91-8
HAND
MACHINE
Machine ALWAYS Superior !
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Examine Formulation Effects Polyol
Type and Amount Catalyst Surfactant
Type and Amount Blowing agent
Temp Effect Loss / Diffusion Blends
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Examine Polyol Effects In a Hand Mix Factorial Design
Vary POLYOL BLEND Hold Constant
Catalyst Surfactant Blowing Agent INDEX = 120
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POLYOL BLEND Design
DESIGN Func. Eq. Wt. Visc. LO – HI LEVELS
Sucrose Glycerin
7 152 30K 25-75
EDA 4 70 17K 0-25
Ester 2.3 212 12K 0-50
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Polyol Effect: DENSITYDESIGN-EXPERT Plot
DENSITYDesign Points
X1 = A: SUC-GLYX2 = B: ESTERX3 = C: EDA
A: SUC-GLY100.00
B: ESTER75.00
C: EDA75.00
0.00 0.00
25.00
DENSITY
1.6
1.65
1.7
1.75
1.8
1.85
• EDA faster,
- Captures more BA
- Thus Lower Density
25 – 75%0 – 50%0 – 25%
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Polyol Effect: THERMAL Props
DESIGN-EXPERT Plot
THERMALDesign Points
X1 = A: SUC-GLYX2 = B: ESTERX3 = C: EDA
A: SUC-GLY100.00
B: ESTER75.00
C: EDA75.00
0.00 0.00
25.00
THERMAL
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28 29
30
31EDA worse !
Strong affinity for BA
Less in vapor space
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Polyol Results Choice of Polyol Critical -
Not only affects Physicals Faster reactivity captures more BA Polyol Type can also affect k-factor, λ
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Examine Catalyst Effects Speed of reaction Cell Orientation
Blow v Gel Cats Gel / Rise Ratio
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Gel Time EffectsFaster = Lower k
0.130
0.132
0.134
0.136
0.138
0.140
0.142
0.144
20 30 40 50 60
Gel Time (s)
Th
erm
al C
on
du
ctiv
ity
18.718.919.119.319.519.719.920.120.320.520.7
LA
MB
DA
PU Expo2002, pg 459, fig 12
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Cat Effects:
STRETCHED
SMALL, _|_ RISE BEST
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Catalyst Effects Results Speed of reaction Cell Orientation Gel / Rise Ratio
Faster is betterSmaller, rounder
betterGel at Rise best
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Surfactant Effects AFFECTS
Cell formation Polyol / ISO compatibility Strut / window thickness Cell Windows open / closed Fineness of Cells Density
TYPE – Critical ! Mol Wt Siloxane content Degree of modification See Degussa Paper [ref 4]
AMOUNT – very important Optimize for each formulation
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Examine BA Effects Molecular WeightInfluential, not
critical
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Examine BA Effects Molecular Weight Gas λ Value
Influential, not critical
Influential, not critical
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Examine BA Effects Molecular Weight Gas λ Value Solubility = Viscosity
Influential, not critical
Influential, not critical
Very Important on Flow
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Examine BA Effects Molecular Weight Gas λ Value Solubility = Viscosity Flow = Cell Orientation
Influential, not critical
Influential, not critical
Very Important on Flow
Critical to Thermal Properties
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Examine BA Effects Molecular Weight Gas λ Value Solubility = Viscosity Flow = Cell Orientation Vapor pressure
Influential, not critical
Influential, not critical
Very Important on Flow
Critical to Thermal Properties
Very Important
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Examine BA Effects Molecular Weight Gas λ Value Solubility = Viscosity Flow = Cell Orientation Vapor pressure Liquid v Gas
Influential, not critical
Influential, not critical
Very Important on Flow
Critical to Thermal Properties
Very ImportantMeasure k at Use
Temp
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Liquid v Gaseous BACondensation Effect
k-factor change w Temperature
0.100
0.110
0.120
0.130
0.140
0.150
0.160
-40 -20 0 20 40 60 80
TEMP, F
K F
AC
TO
R
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Liquid v Gaseous BA GAS
Advantage of potential lower thermal properties
Lost because of higher Vapor Pressure More Gas escapes during foaming
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Caveat Moisture
Very poor insulator Very small molecule [MW=18],
Smaller than N2 [MW=28, 78%],
Smaller than O2 [MW=32, 21%]
Ubiquitous Penetrates foams readily Plays havoc with K-factor
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Diffusion Gases want to reach equilibrium
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DiffusionIF POROUS
Graham’s LawRate1
Rate2
M2
M1
=
M2 M1
134 18
Gas245f
a H2O
Rate1 / Rate2 = 2.73
Rigid Foams NOT Porous !
Fick’s Law: Solubility Factors
Water 3X greater Diffusion !
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Blowing Agent LossAHAM Study
Negligible!
Amount of CFC-11 Blowing Agent in Sampled Refrigerators
Sample When Produced, Pre-1993
At End of Life, Prior to Shredding, 2004
A-1 15.2 % 15.4 %
A-2 14.1 % 13.0 %
B-1 15.9 % 16.0 %
B-2 16.7 % 15.2 %
C-1 16.0 %* 16.0 %
C-2 13.0 – 14.0 % * 13.8 %
D-1 14.0 – 16.0 % * 15.7 %
D-2 14.0 – 16.0 % * 14.3 %
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REAL LIFE EXAMPLES BEST EVALUATIONS
Run side-by-side Use Actual CABINETS Use Actual Conditions Measure
Energy used Ice melt over time Compressor cycles, or Temperature change w time
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Ice Melt TestsDrink Dispenser Tests
Ice Melt @ 75 FIdentical results !
0
1000
2000
3000
4000
0 1000 2000 3000
minutes
ice
rem
ain
ing
(g
)
134a
ecomate
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CONTROL 18% more energy
20% more energy
BTU LOAD TEST – Refrigerated Display case, Maintain 40F
ecomate, 245fa nearly same
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40 F CHILLER
40 F CHILLER
%Time ON for 95 F: %Time ON for 95 F:
DUTY CYCLE – 39” VENDOR CABINETS
5-100 watt bulbs to keep 95F
36.8% 37.4%
ecomate, 245fa nearly same !
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BLENDING BAs Ecomate very compatible
Why spend extra money?
Ecomate / 245fa Blends PAT APP 20060160911
Exp-1 Exp-2 Exp-3 Exp-4
Ecomate, mol% 90 75 50 25
HFC 245fa, mol% 10 25 50 75
K-factor, init 0.165 0.161 0.158 0.153
CS// , psi 31 25 33 24
Dim Stab Cold, [28d,-29C, V%] 2 3 5 9
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Handmix v MachineSame ecomate Formulations
0.14
0.15
0.16
0.17
0.18
0.19
0.2
J91-5 J91-6 J91-8
HAND
MACHINE
Machine ALWAYS Superior !
Ecomate machine k values respectable
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Thermal Conductivity
Not dependant solely on: MW Gas λ K-Factor at standard conditions
Depends on many additional factors, including: Formulation Processing Configuration Protection
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Conclusions Thermal Improvements available
Thru formulation Thru processing
Protect foams from Moisture Ecomate nearly equals 245fa
in Hand mix data in Side-by-side Performance Tests
Compare for Yourself!
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Compare for Yourself !