Polymer Processing Laboratory University of Maryland Physics Based Modeling and Control of Extrusion...

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Polymer Processing Laboratory University of Maryland Physics Based Modeling and Control of Extrusion Paul Elkouss David Bigio

Transcript of Polymer Processing Laboratory University of Maryland Physics Based Modeling and Control of Extrusion...

Polymer Processing Laboratory University of Maryland

Physics Based Modeling and Control of Extrusion

Paul Elkouss

David Bigio

Polymer Processing Laboratory University of Maryland

Motivation• Control extrudate quality – anything that can be

measured online• Use a physically based model• Closed loop control using kinematic and additional

plant models to regulate the product qualities• Example vis-breaking of polypropylene:

– Vis-breaking = cutting of polymer chain– MWD influences product properties – Control product properties: Viscosity, Yield strength, etc.– Peroxide has very high control influence

Polymer Processing Laboratory University of Maryland

Experimental Approach

Polymer

Optical Analysis S

D

Mixing Section

Probe DAQ/PC

ch

gap

cl

ap

Polymer Processing Laboratory University of Maryland

Experimental System

Polymer Processing Laboratory University of Maryland

Research Diagram

Polymer Processing Laboratory University of Maryland

Background – Summary• Simple and Complex models of extruder behavior• Different models of peroxide degradation, but most are

based on work by Tzoganakis• FEM has been used to model degradation in the extruder

(computationally intensive), but none have used lamellar modeling yet.

• Most open loop model structures have been determined statistically (arbitrary), but Walsh et. al. are first to use model based on kinematics.

Polymer Processing Laboratory University of Maryland

3rd Order Plant Model

3

3

)()(

aseasG

std

•Like 3 CSTR’s with transport delay

•Model fits for each probe

•Deconvolve signals to get fits for individual probes

Polymer Processing Laboratory University of Maryland

RTD’s and Model Fits

Polymer Processing Laboratory University of Maryland

Mean Residence Measures

N

QBAQtm

BQ

NANtm

• Mean Residence Volume

• Mean Residence Revolution

Polymer Processing Laboratory University of Maryland

RTDs at Different Operating Conditions

Polymer Processing Laboratory University of Maryland

Model Validation

Polymer Processing Laboratory University of Maryland

Other Kinematic Representations

• RRD - Residence Rotation Distribution– The same specific throughput (Q/N) gives the

same curve.

• RVD – Residence Volume Distribution– The curves w/o volume delay collapse to one

curve– One set of shape parameters describes all

conditions

Polymer Processing Laboratory University of Maryland

RRD

Polymer Processing Laboratory University of Maryland

Model fits in Volume Domain (RVD)

3

ˆ3

)ˆ()ˆ(

ˆ

cs

ecsG

Qtv

Qac

Qss

sv

dd

d

Polymer Processing Laboratory University of Maryland

3rd Order with Different Poles

))()(()(

321

)(321

123

321

asasas

eaaasG

sttt ddd

•Like 3 CSTR’s of different volumes with transport delay

Polymer Processing Laboratory University of Maryland

• An important question: What frequency disturbances can be damped by mixing process given the screw geometry?

Disturbance Rejection

filledcritical V

2

3

3

)()(

Cs

eCKsG

svC

d

2/13/2 )1(

2

filledVC

Polymer Processing Laboratory University of Maryland

Lamellar Model• One dimensional model of material transfer (Ottino et.

al.)

• Useful for studying laminar mixing, diffusion and reaction

• Three dimensional flows one dimension.

• Example - simplified calculations.– Relate to operating conditions– Calculate diffusion and inter-material area growth– No need to calculate reaction, or geometry

Polymer Processing Laboratory University of Maryland

Background – Lamellar Model(x)= Vx=-x

iii RNt

c

*2

2

iR

t

tc

t

tc

r

ci

d

ci

2

12ln ctt

tesx 0

Polymer Processing Laboratory University of Maryland

System ID

• For determining open-loop kinematic model of plant

• Determine volume delay, and shape factor for sensor

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Polymer Processing Laboratory University of Maryland

Closed Loop Control Issues

• Modeling the Plant

• Online property measurement– What to measure– Measurement delay

• Control Scheme– Simple, smith predictor– Advanced control: Robust, Adaptive control– Online parameter correction

Polymer Processing Laboratory University of Maryland

What is currently being done

• Warp time model– Compare to steady state results– Relate to operating conditions to predict the DC

Gain

• Control Scheme– Apply adaptive control to the plant– Verify with Experiments

Polymer Processing Laboratory University of Maryland

Conclusions

• Kinematic model is main model for the extruder

• The model is applicable to many different measurable quantities

• Additional models can be added to provide better control