bond_number

bond_number(im: ndarray[Any, dtype[_ScalarType_co]], delta_rho: float, g: float, sigma: float, voxel_size: float, source: str = 'lt', method: str = 'median', mask: bool = False)

Computes the Bond number for an image

Parameters:

• im (ndarray) – The image of the domain with True values indicating the phase of interest space

• delta_rho (float) – The difference in the density of the non-wetting and wetting phase

• g (float) – The gravitational constant for the system

• sigma (float) – The surface tension of the fluid pair

• voxel_size (float) – The size of the voxels

• source (str) –

  The source of the pore size values to use when computing the characteristic length R. Options are:

  Option	Description
  dt	Uses the distance transform
  lt	Uses the local thickness

• method (str) –

  The method to use for finding the characteristic length R from the values in source. Options are:

  Option	Description
  mean	The arithmetic mean (using numpy.mean)
  min (or amin)	The minimum value (using numpy.amin)
  max (or amax)	The maximum value (using numpy.amax)
  mode	The mode of the values (using scipy.stats.mode)
  gmean	The geometric mean of the values (using scipy.stats.gmean)
  hmean	The harmonic mean of the values (using scipy.stats.hmean)
  pmean	The power mean of the values (using scipy.stats.pmean)

• mask (bool) – If True then the distance values in source are masked by the skeleton before computing the average value using the specified method.