MFGT 242 Flow Analysis Chapter 2:Material Properties Professor Joe Greene

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Transcript MFGT 242 Flow Analysis Chapter 2:Material Properties Professor Joe Greene

MFGT 242 Flow Analysis Chapter 2:Material Properties

Professor Joe Greene CSU, CHICO 1

Types of Polymers

• Amorphous and Semi-Crystalline Materials • Polymers are classified as – Thermoplastic – Thermoset • Thermoplastic polymers are further classified by the configuration of the polymer chains with – random state (amorphous), or – ordered state (crystalline) 2

States of Thermoplastic Polymers

• Amorphous- Molecular structure is incapable of forming regular order (crystallizing) with molecules or portions of molecules regularly stacked in crystal-like fashion.

• A - morphous (with-out shape) • Molecular arrangement is randomly twisted, kinked, and coiled 3

States of Thermoplastic Polymers

• Crystalline- Molecular structure forms regular order (crystals) with molecules or portions of molecules regularly stacked in crystal-like fashion.

• Very high crystallinity is rarely achieved in bulk polymers • Most crystalline polymers are semi-crystalline because regions are crystalline and regions are amorphous • Molecular arrangement is arranged in a ordered state 4

Factors Affecting Crystallinity

• Cooling Rate from mold temperatures • Barrel temperatures • Injection Pressures • Drawing rate and fiber spinning: Manufacturing of thermoplastic fibers causes Crystallinity • Application of tensile stress for crystallization of rubber 5

Types of Polymers

• Amorphous and Semi-Crystalline Materials • • • • • • • • • PVC PS Acrylics ABS Amorphous Amorphous Amorphous Amorphous Polycarbonate Amorphous Phenoxy PPO Amorphous Amorphous SAN Polyacrylates Amorphous Amorphous • • • • • • • • • • • LDPE HDPE PP PET PBT Polyamides PMO Crystalline Crystalline Crystalline Crystalline Crystalline Crystalline Crystalline PEEK PPS Crystalline Crystalline PTFE Crystalline LCP (Kevlar) Crystalline 6

Stresses, Pressure, Velocity, and Basic Laws

• Stresses: force per unit area – Normal Stress: Acts perpendicularly to the surface: F/A • Extension • Compression Cross Sectional Area A A A F F – Shear Stress,  : Acts tangentially to the surface: F/A • Very important when studying viscous fluids • For a given rate of deformation, measured by the time derivative d  /dt of a small angle of deformation  , the shear stress is directly proportional to the viscosity of the fluid F  Deformed Shape 

= µd

/dt

7 F

• • • • • • • • • • Alpha:  • beta:  • gamma:  delta:  epsilon:  zeta:  eta:  theta:  iota:  kappa:  lamda:  mu: 

Some Greek Letters

• Nu:  • • • • • • • • • • • xi:  omicron:  pi:  rho:  sigma:  tau:  upsilon:  phi:  chi:  psi:  omega:  8

Viscosity, Shear Rate and Shear Stress

• Fluid mechanics of polymers are modeled as steady flow in shear flow.

• Shear flow can be measured with a pressure in the fluid and a resulting shear stress. • Shear flow is defined as flow caused by tangential movement. This imparts a shear stress,  , on the fluid.

• Shear rate is a ratio of velocity and distance and has units sec -1 • Shear stress is proportional to shear rate with a viscosity constant or viscosity function 

yx

 

du dy

    9

Viscosity

• Viscosity is defined as a fluid’s resistance to flow under an applied shear stress, Fig 2.2

Moving, u=V V Y= h y P x Stationary, u=0 Y= 0 • The fluid is ideally confined in a small gap of thickness h between one plate that is stationary and another that is moving at a velocity, V • Velocity is u = (y/h)V • Shear stress is tangential Force per unit area,  = F/A 10

Viscosity

• For Newtonian fluids, Shear stress is proportional to velocity gradient.

  

du dy

    Ln 

yx

• The proportional constant,  , is called viscosity of the fluid and has dimensions 0.01

0.1 1 10 100 Ln shear rate,     

LT

• Viscosity of a fluid may be determined by observing the pressure drop of a fluid when it flows at a known rate in a tube.

11

Viscosity

• For non-Newtonian fluids (plastics), Shear stress is proportional to velocity gradient and the viscosity function.

yx

 

du dy

    Ln  • Viscosity has units of Pa-s or poise (lbm/ft hr) or cP Ln shear rate, • Viscosity of a fluid may be determined by observing the pressure drop of a fluid when it flows at a known rate in a tube. Measured in – Cone-and-plate viscometer – Capillary viscometer – Brookfield viscometer 12

Viscosity

• Kinematic viscosity,  , is the ratio of viscosity and density • Viscosities of many liquids vary exponentially with temperature and are independent of pressure • where, T is absolute T, a and b • units are in centipoise, cP  

e a

b

ln

T

Ln  T=200 T=300 T=400 0.01

0.1

1 Ln shear rate, 10   100 13

Viscosity Models

• Models are needed to predict the viscosity over a range of shear rates.

• Power Law Models (Moldflow First order) • Moldflow second order model • Moldflow matrix data • Ellis model 14

Viscosity Models

• Models are needed to predict the viscosity over a range of shear rates.

• Power Law Models (Moldflow First order) where

m

and

n

are constants. If m =  , and

n

= 1, for a Newtonian fluid, you get the Newtonian viscosity,  • For polymer melts

n

viscosity shear rate curve.

.

 

m

 

n

 1 • Power Law is the most common and basic form to represent the way in which viscosity changes with shear rate.

• Power Law does a good job for shear rates in linear region of curve.

• Power Law is limited at low shear and high shear rates 15

Power Law Viscosity Model

• To find constants, take logarithms of both sides, and find slope and intercept of line • POLYBANK Software ln   

n

 1  ln  – material data bank for storing viscosity model parameters.

  ln – Linear Regression http://www.polydynamics.com/polybank.htm

16

Moldflow Second Order Model

• Improves the modeling of viscosity in low shear rate region ln  

A

0 

A

1 ln   

A

2

T

A

3 (ln   ) 2 

A

4

T

ln   

A

2

T

2 • Where the A i are constants that are determined empirically (by experiments) and the model is curve fitted.

• Second Order Power Law does well for – Temperature effects on viscosity – Low shear rate regions – High shear rate regions • Second Order is limited by: – Use of empirical constants rather than rheology theory 17

Moldflow Matrix Data Model

• Collection of triples (viscosity, temperature, and shear rate) obtained by experiment.

• Viscosity is looked up in a table form based upon the temperature and shear rate.

• No regression or curve fitting is used like first and second order power law.

• Matrix is suitable for materials with unusual viscosity characteristics, e.g., LCP • Matrix limitations are the large number of experimental data that is required.

18

Ellis Viscosity Model

• Ellis model expressed viscosity as a function of shear stress,  , and has form – where  1/2   1 is the value of shear stress for which ln      0    _

versus

_     1 /  2     2 0   0  1     1  / 2     1 19

CarreauViscosity Model

• Carreau model expressed viscosity as a function of shear stress,  , and has form – where     0 is the value of viscosity at infinite shear rate         1    2 ( 

n

 1 ) and n is the power law constant,  is the time constant / 2 20

Viscosity Model Requirements

• Most important requirement of a viscosity model is that it represents the observed behavior of polymer melts. Models must meet: – Viscosity • Viscosity should decrease with increasing shear rate • Curvature of isotherms should be such that the viscoity decreases at a decreasing rate with increasing shear rate • The isotherms should never cross – Temperature • Viscosity should decrease with increasing temperature • Curvature of iso-shear rate curves should be such that the viscoity decreases at a decreasing rate with increasing temp • The iso-shear rate curves should never cross 21

Extrapolation of Viscosity

• Regardless of model, problems occur in flow analysis – Due to range of shear rates chosen during data regression is often too low a range of shear rate than actual molding conditions.

– Extrapolation (calculation of quantity outside range used for regression) is necessary due to complex flow and cooling.

– Materials exhibit a rapid change in viscosity as it passes from melt to solid plastic.

– Extrapolation under predicts the actual viscosity Viscosity Actual crystalline viscosity Actual amorphous viscosity Model Extrapolation 22 Mold Crystalline No-Flow Melt Temperature

Moldflow Correction for No-flow

• No-Flow Temperature to overcome this problem – the temperature below which the material can be considered solid.

– The viscosity is infinite at temperatures below No-flow Temperature Viscosity No-flow Temperature Shear Rate 1 Shear Rate 1 Mold Crystalline No-Flow Melt Temperature 23

Shear Thinning or Pseudoplastic Behavior

Power law approximation • Viscosity changes when the shear rate changes – Higher shear rates = lower viscosity – Results in shear thinning behavior Log viscosity Actual Log shear rate – Behavior results from polymers made up of long entangles chains. The degree of entanglement determines the viscosity – High shear rates reduce the number of entanglements and reduce the viscosity.

– Power Law fluid: viscosity is a straight line in log-log scale.

• Consistency index: viscosity at shear rate = 1.0

• Power law index, n: slope of log viscosity and log shear rate – Newtonian fluid (water) has constant viscosity • Consistency index = 1 • Power law index, n =0 24

Effect of Temperature on Viscosity

• When temperature increases = viscosity reduces • Temperature varies from one plastic to another – Amorphous plastics melt easier with temperature.

• Temperature coefficient ranges from 5 to 20%, • Viscosity changes 5 to 20% for each degree C change in Temp • Barrel changes in Temperature has larger effects – Semicrystalline plastics melts slower due to molecular structure • Temperature coefficient ranges from 2 to 3% Viscosity Temperature 25

Viscous Heat Generation

• When a plastic is sheared, heat is generated.

– Amount of viscous heat generation is determined by product of viscosity and shear rate squared.

– Higher the viscosity = higher viscous heat generation – Higher the shear rate = higher viscous heat generation – Shear rate is a stronger source of heat generation – Care should be taken for most plastics not to heat the barrel too hot due to viscous heat generation 26

Thermal Properties

• Important is determining how a plastic behaves in an injection molder. Allows for – selection of appropriate machine selection – setting correct process conditions – analysis of process problems • Important thermal properties – thermal conductivity – specific heat – thermal stability and induction time – density – melting point and glass transition 27

Specific Heat and Enthalpy

• Specific Heat

C P

dQ dT P

;

C V

dQ dT

V

– The amount of heat necessary to increase the temperature of a material by one degree.

– Most cases, the specific heat of semi-crystalline plastics are higher than amorphous plastics.

– If an amount of heat is added  Q, to bring about an increase in temperature,  T. – Determines the amount of heat required to melt a material and thus the amount that has to be removed during injection molding.

• The specific heat capacity is the heat capacity per unit mass of material.

– Measured under constant pressure, Cp, or constant volume, Cv.

– Cp is more common due to high pressures under Cv 28

Specific Heat and Enthalpy

• Specific Heat Capacity – Heat capacity per unit mass of material – Cp is more common than Cv due to excessive pressures for Cv – Specific Heat of plastics is higher than that of metals – Table 2.1

Material

ABS Acetal PA66 PC Polyethylene PP PS PVC Steel (AISI 1020) Steel (AISI P20)

Specific Heat Capacity (J/(kgK))

1250-1700 1500 1700 1300 2300 1900 1300 800-1200 460 460 29

Thermal Stability and Induction Time

• Plastics degrade in plastic processing.

– Variables are: • temperature • length of time plastic is exposed to heat (residence time) – Plastics degrade when exposed to high temperatures • high temperature = more degradation • degradation results in loss of mechanical and optical properties • oxygen presence can cause further degradation – Induction time is a measure of thermal stability.

• Time at elevated temperature that a plastic can survive without measurable degradation.

• Longer induction time = better thermal stability • Measured with TGA (thermogravimetric analyzer), TMA 30

T+  T Q

Thermal Conductivity

T • Most important thermal property – Ability of material to conduct heat

dQ dt

– Plastics have low thermal conductivity = insulators  

kA

dT dx

– Thermal conductivity determines how fast a plastic can be processed.

– Non-uniform plastic temperatures are likely to occur.

• Where, k is the thermal conductivity of a material at temperature T.

• K is a function of temperature, degree of crystallinity, and level of orientation – Amorphous materials have k values from 0.13 to 0.26 J/(msK) – Semi-crystalline can have higher values 31

Thermal Stability and Induction Time

• Plastics degrade in plastic processing.

– Induction time measured at several temperatures, it can be plotted against temperature. Fig 4.13

• The induction time decreases exponentially with temperature • The induction time for HDPE is much longer than EAA – Thermal stability can be improved by adding stabilizers • All plastics, especially PVC which could be otherwise made. 10.

Temperature (degrees C) 260 240 220 200 Induction Time (min) 1 HDPE EAA .1

.0018 .0020 .0022

Reciprocal Temp (K -1 ) 32

Density

• Density is mass divided by the volume (g/cc or lb/ft 3 ) • Density of most plastics are from 0.9 g/cc to 1.4 g/cc_ • Table 4.2

• Specific volume is volume per unit mass or (density) -1 • Density or specific volume is affected by temperature and pressure.

– The mobility of the plastic molecules increases with higher temperatures (Fig 4.14) for HDPE.

PVT diagram very important!!

– Specific volume increases with increasing temperature – Specific volume decrease with increasing pressure.

– Specific volume increases rapidly as plastic approaches the melt T.

slowly.

Melting Point

• Melting point is the temperature at which the crystallites melt.

– Amorphous plastics do not have crystallites and thus do not have a melting point.

– Semi-crystalline plastics have a melting point and are processed 50 C above their melting points. Table 4.3 • Glass Transition Point – Point between the glassy state (hard) of plastics and the rubbery state (soft and ductile).

• When the Tg is above room temperature the plastic is hard and brittle at room temperature, e.g., PS • When the Tg is below room temperature, the plastic is soft and flexible at room temperature, e.g., HDPE 34

Thermodynamic Relationships

• Expansivity and Compressibility

f

p

,

V

ˆ ,

T

  0 – Equation of state relates the three important process variables, PVT • Pressure, Temperature, and Specific Volume. • A Change in one variable affects the other two • Given any two variables, the third can be determined

V

ˆ 

f

p

,

T

 – where g is some function determined experimentally.

• Fig 2.10

35

Thermodynamic Relationships

• Coefficient of volume expansion of material,  , is defined as:   1

V

  

V

ˆ 

T

 

p

• where the partial differential expression is the instantaneous change in volume with a change in Temperature at constant pressure • Expansivity of the material with units K -1 • Isothermal Compressibility,  , is defined as:    1

V

ˆ   

V

ˆ 

p

 

T

• where the partial differential expression is the instantaneous change in volume with a change in pressure at constant temperature • negative sign indicated that the volume decreases with increasing pressure • isothermal compressibility has units m 2 /N 36

PVT Data for Flow Analysis

• PVT data is essential for – packing phase and the filling phase.

– Warpage and shrinkage calculations • Data is obtained experimentally and curve fit to get regression parameters • For semi-crystalline materials the data falls into three area; – Low temperature – Transition – High temperature • Fig 2.11

Specific Volume, cm 3 /g 1.40

1.20

Polypropylene 0 Pressure, MPa 20 60 100 160 37 1.04

100 200 Temperature, C

PVT Data for Flow Analysis

• Data is obtained experimentally and curve fit to get regression parameters • For amorphous there is not a sudden transition region from melt to solid. There are three general regions – Low temperature – Transition – High temperature 1.40

Polystyrene • Fig 2.12

Specific Volume, cm 3 /g 1.20

0 Pressure, MPa 20 60 100 160 1.04

100 200 Temperature, C 38

PVT Data for Flow Analysis

• The equations fitted to experimental data in Figures 2.11 and 2.12 are: – Note: All coefficients are found with regression analysis – Low Temperature region

V

ˆ 

a

4

a

1 

p

a

3

a

2

T

p

a

5

e a

6

T

a

7

p

– High Temperature Region

V

ˆ 

a

4

a

1 

p

a

3

a

2

T

p

– Transition Region

p

b

1 

b

2

T

39