Factors contributing to k-factor optimization with eco mate ® blown foams CPI Orlando 2007

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Factors contributing to k-factor optimization with ecomate ® blown foams CPI Orlando 2007

description

Factors contributing to k-factor optimization with eco mate ® blown foams CPI Orlando 2007. How does ecomate compare?. How does ecomate compare in Foams ?. Handmix Pours Comparison Molar Substitution - in same formulation Same Index Same Surfactant amount Same Catalyst amount - PowerPoint PPT Presentation

Transcript of Factors contributing to k-factor optimization with eco mate ® blown foams CPI Orlando 2007

Page 1: Factors contributing to  k-factor optimization  with eco mate ® blown foams        CPI Orlando 2007

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

c365/2

27 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 –

13,31,4 – 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 Dependencek-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 FA

CTO

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 5Mid 7.5High 10

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PROCESSING EFFECTS:HAND MIX FACTORIAL

DESIGNMIX TIME, sec

MIX SPEED,

rpm

Low 5 1000Mid 7.5 2000High 10 3000

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PROCESSING EFFECTS:HAND MIX FACTORIAL

DESIGNMIX TIME, sec

MIX SPEED,

rpm

POUR SIZE,

gm

Low 5 1000 150Mid 7.5 2000 225High 10 3000 300

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PROCESSING EFFECTS:HAND MIX FACTORIAL

DESIGNMIX TIME, sec

MIX SPEED,

rpm

POUR SIZE,

gm

SURF CONC,

pct

Low 5 1000 150 1Mid 7.5 2000 225 1.5High 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

lam

bda

One Factor Plot

1000 2000 3000

28

29

30

A: MIX SPEED

lam

bda

One Factor Plot

150 200 250 300

28

29

30

B: SIZE POUR

lam

bda

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

HANDMACHINE

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

27

28 2930

31EDA worse !Strong affinity for BALess 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)

Ther

mal

Con

duct

ivity

18.718.919.119.319.519.719.920.120.320.520.7

LAM

BDA

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

0.1300.140

0.150

0.160

-40 -20 0 20 40 60 80

TEMP, F

K FA

CTO

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 RefrigeratorsSample When Produced,

Pre-1993At 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

aini

ng (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 CABINETS5-100 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 20060160911Exp-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

HANDMACHINE

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!

Page 45: Factors contributing to  k-factor optimization  with eco mate ® blown foams        CPI Orlando 2007

Compare for Yourself !