IP Library Granted Patent US 8,862,438
Granted Patent B2
US 8,862,438 · App. 12/670,885 · Granted Oct 14, 2014

Method for improving the prediction of polymer properties

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Quick Facts
Patent No.
US 8,862,438
App. No.
12/670,885
Granted
Oct 14, 2014
Kind
B2
Abstract

A method for improving the prediction of polymer properties and a system having improved polymer property prediction capabilities is provided. The method for improving the prediction of polymer properties comprises: (1) providing a polymer; (2) providing a prediction model; (3) utilizing said prediction model to define an average polymer property prediction value; (4) determining a feasible range; (5) measuring one or more properties of said polymer; (6) determining whether said one or measured polymer properties are within said feasible range: (7) validating said one or more measured polymer properties if said one or more measured polymer properties fall within the feasible range or invalidating said one or more measured polymer properties if said one or more measured polymer properties fall outside of the feasible range; (8) optionally updating said prediction model; (9) repeating said previous steps at least one or more times; and (10) thereby improving the prediction of polymer properties.

Claims (216)

1. A method for improving the prediction of polymer properties comprising the steps of:

providing a polymer;

providing a prediction model based on material balance and polymer properties;

utilizing said prediction model to define an average polymer property prediction value, wherein said average polymer property prediction value is x p ;

determining a feasible range;

measuring one or more properties of said polymer;

determining whether said one or more measured polymer properties are within said feasible range;

validating said one or more measured polymer properties if said one or more measured polymer properties fall within the feasible range or invalidating said one or more measured polymer properties if said one or more measured polymer properties fall outside of the feasible range;

updating said prediction model;

repeating said previous steps at least one or more times until updating said prediction model at least one more time; and

thereby improving the prediction of polymer properties;

wherein said feasible range is determined via

x

Low

=

x

P

(

1

-

σ

x

p

-

2

ln

(

1

-

f

)

)

-

ax

p

dt

T

u

;

and

x

High

=

x

P

(

1

+

σ

x

p

-

2

ln

(

1

-

f

)

)

+

x

p

t

T

u

;

wherein said polymer property prediction value is logarithmic, and wherein

x Low is the lowest value expected for the lab value;

x High is the highest value expected for the lab value;

f is the probability that the sample is part of the collection of samples;

σ is the standard deviation of the lab measurement method;

x p is the model predicted bed average value;

T u is the amount of time uncertainty in the exact sample time; and

x

p

t

is the derivate of x p with respect to time.

2. The method for improving the prediction of polymer properties according to claim 1 , wherein said

x

p

t

is determined via

x

p

k

-

x

p

k

-

1

t

k

-

t

k

-

1

;

wherein

k represents the current time; and

k−1 represents the time one calculation interval previously.

3. A method for improving the prediction of polymer properties comprising the steps of:

providing a polymer;

providing a prediction model based on material balance and polymer properties;

utilizing said prediction model to define an average polymer property prediction value, wherein said average polymer property prediction value is x p ;

determining a feasible range;

measuring one or more properties of said polymer;

determining whether said one or more measured polymer properties are within said feasible range;

validating said one or more measured polymer properties if said one or more measured polymer properties fall within the feasible range or invalidating said one or more measured polymer properties if said one or more measured polymer properties fall outside of the feasible range;

updating said prediction model;

repeating said previous steps at least one or more times until updating said prediction model at least one more time; and

thereby improving the prediction of polymer properties;

wherein said feasible range is determined via

x

Low

=

x

P

-

σ

-

2

ln

(

1

-

f

)

-

x

p

t

T

n

;

and

x

High

=

x

P

+

σ

-

2

ln

(

1

-

f

)

+

x

p

t

T

u

;

wherein said polymer property prediction value is non-logarithmic, and wherein

x Low is the lowest value expected for the lab value;

x High is the highest value expected for the lab value;

f is the probability that the sample is part of the collection of samples;

σ is the standard deviation of the lab measurement method;

x p is the model predicted bed average value;

T u is the amount of time uncertainty in the exact sample time; and

x

p

t

is the derivative of x p with respect to time.

4. A method for improving the prediction of polymer properties comprising the steps of:

providing a polymer;

providing a prediction model based on material balance and polymer properties;

utilizing said prediction model to define an average polymer property prediction value, wherein said average polymer property prediction value is x p ;

determining a feasible range;

measuring one or more properties of said polymer;

determining whether said one or more measured polymer properties are within said feasible range;

validating said one or more measured polymer properties if said one or more measured polymer properties fall within the feasible range or invalidating said one or more measured polymer properties if said one or more measured polymer properties fall outside of the feasible range;

updating said prediction model;

repeating said previous steps at least one or more times until updating said prediction model at least one more time; and

thereby improving the prediction of polymer properties;

wherein said feasible range is determined via x Low =x p (1−delta) u ; and

x High =x p (1+delta); wherein x p is the model predicted bed average value.

Assignments (11)
CORRECTIVE ASSIGNMENT TO CORRECT THE EXECUTION DATE PREVIOUSLY RECORDED ON REEL 033477 FRAME 0052. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Aug 8, 2014
From: SCHAEFER, MARCEL
To: DOW DEUTSCHLAND GMBH & CO. OHG
Reel/Frame 033500/0856 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 7, 2014
From: UNION CARBIDE CHEMICALS & PLASTICS TECHNOLOGY CORPORATION
To: DOW GLOBAL TECHNOLOGIES LLC
Reel/Frame 033482/0096 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 6, 2014
From: THE DOW CHEMICAL COMPANY
To: DOW GLOBAL TECHNOLOGIES LLC
Reel/Frame 033477/0280 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 6, 2014
From: HARTLEY, IVAN J.
To: DOW GLOBAL TECHNOLOGIES LLC
Reel/Frame 033477/0561 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 6, 2014
From: DRABISH, JEFFREY B.; PARRISH, JOHN R.; SAMPLES, PAUL K; NELSON, MARK L
To: UNION CARBIDE CHEMICALS & PLASTICS TECHNOLOGY CORPORATION
Reel/Frame 033477/0914 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 6, 2014
From: SCHAEFER, MARCEL
To: DOW DEUTSCHLAND GMBH & CO. OHG
Reel/Frame 033477/0052 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 6, 2014
From: DOW DEUTSCHLAND GMBH & CO. OHG
To: THE DOW CHEMICAL COMPANY
Reel/Frame 033477/0166 →
CHANGE OF NAME Recorded Apr 6, 2011
From: DOW GLOBAL TECHNOLOGIES INC.
To: DOW GLOBAL TECHNOLOGIES LLC
Reel/Frame 026082/0439 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 7, 2010
From: DRABISH, JEFFREY B.; PARRISH, JOHN R.; SAMPLES, PAUL K.; NELSON, MARK L.
To: UNION CARBIDE CHEMICALS & PLASTICS TECHNOLOGY CORPORATION
Reel/Frame 024643/0121 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 7, 2010
From: THE DOW CHEMICAL COMPANY
To: DOW GLOBAL TECHNOLOGIES INC.
Reel/Frame 024643/0180 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 7, 2010
From: UNION CARBIDE CHEMICALS & PLASTICS TECHNOLOGY CORPORATION
To: DOW GLOBAL TECHNOLOGIES INC.
Reel/Frame 024643/0242 →