# Flow Induced Crystallization: General description¶

## Purpose¶

Module for handling data from start up of shear and extensional flow experiments with flow induced crystallisation.

## Data Files¶

• The first line of the file should contain the sample parameters separated by semi-colons (;). It may contain any number of parameters which will be read and saved as file-parameter in RepTate.

• Then the data columns should appear, separated by spaces or tabs.

### .shearxs extension¶

Text files with .shearxs extension should be organised as follows:

• .shearxs files should contaion at least the parameter values for the:

1. shear rate, $$\dot\gamma$$

2. shear end time, $$t$$-stop

3. temperature, $$T$$

• 5 columns separated by spaces or tabs containing respectively:

1. time, $$t$$,

2. shear stress growth function, $$\sigma^+(t)$$,

3. nucleation rate, $$\dot N(t)$$,

4. crystal fraction, $$\phi_X(t)$$,

5. nucleation density, $$N(t)$$,

Other columns will be ignored. A correct .shearxs file looks like:

gdot=0.1;tstop=50.0;T=0.0;
t               sigma_xy        Ndot        phi_X           N
1.437E+00       1.411E+02       5.103E-09       3.227E-08       1.001E-05
1.751E+00       1.709E+02       1.358E-08       5.772E-08       1.001E-05
2.134E+00       2.065E+02       4.283E-08       1.034E-07       1.002E-05
2.600E+00       2.486E+02       1.623E-07       1.858E-07       1.006E-05
3.168E+00       2.978E+02       7.418E-07       3.349E-07       1.028E-05
...         ...         ...         ...         ...


## Views¶

### log(eta(t))¶

BaseApplicationCrystal.viewLogeta()[source]

Logarithm of the transient shear or extensional viscosity (depending on the experiment) $$\eta(t)$$ vs logarithm of time $$t$$

### Ndot(t) [log-log]¶

BaseApplicationCrystal.viewNdot(dt, file_parameters)[source]

Nucleation rate as a function of time on log axis $$\dot{N}(t)$$ vs time $$t$$ (x-axis on log scale by default)

### N(t) [log-log]¶

BaseApplicationCrystal.viewNt(dt, file_parameters)[source]

Nucleation density as a function of time on log axis $$N(t)$$ vs time $$t$$ (x-axis on log scale by default)

### phiX(t) [log-log]¶

BaseApplicationCrystal.viewphiX(dt, file_parameters)[source]

Crystal fraction as a function of time on log axis $$\phi_X(t)$$ vs time $$t$$ (x-axis on log scale by default)

### Ndot(t) [log-lin]¶

Nucleation rate as a function of time on log axis $$\dot{N}(t)$$ vs time $$t$$

### N(t) [log-lin]¶

Nucleation density as a function of time on log axis $$N(t)$$ vs time $$t$$

### phiX(t) [log-lin]¶

Crystal fraction as a function of time on log axis $$\\phi_X(t)$$ vs time $$t$$

### eta(t))¶

BaseApplicationCrystal.vieweta()[source]

Transient shear or extensional viscosity (depending on the experiment) $$\eta(t)$$ vs time $$t$$ (both axes in logarithmic scale by default)

### log(sigma(gamma))¶

BaseApplicationCrystal.viewLogSigmaGamma()[source]

Logarithm of the transient shear or extensional stress (depending on the experiment) $$\sigma(t)$$ vs logarithm of the strain $$\gamma$$

### sigma(gamma)¶

BaseApplicationCrystal.viewSigmaGamma()[source]

Transient shear or extensional stress (depending on the experiment) $$\sigma(t)$$ vs strain $$\gamma$$

### log(sigma(t))¶

BaseApplicationCrystal.viewLogSigmaTime()[source]

Logarithm of the transient shear or extensional stress (depending on the experiment) $$\sigma(t)$$ vs logarithm of time $$t$$

### sigma(t)¶

BaseApplicationCrystal.viewSigmaTime()[source]

Transient shear or extensional stress (depending on the experiment) $$\sigma(t)$$ vs time $$t$$

### Flow Curve¶

BaseApplicationCrystal.view_flowcurve()[source]

$$\sigma(t_{\to\infty})$$ vs flow rate

$$\dot{N}(t_{\to\infty})$$ vs flow rate

Todo

Document the views