upxo.pxtal.img_essentials_01 module

Dataclass helpers for 3D IMAGE / RVE feature bookkeeping.

class upxo.pxtal.img_essentials_01.part_cntr_CLS(connectivity: int)[source]

Bases: object

Partitioning controls: connectivity and binary structuring element.

connectivity: int

bstruct: any

class upxo.pxtal.img_essentials_01.ids_counts_CLS(f: str)[source]

Bases: object

Guidance to set-up the feature names. <<< Please restrict featuire names to only from below options: grain, subgrain,ptwin i.e. primary twin, stwin i.e. secondary twin, pag for prior austenitic grain, pck for packets in Martensitic steels (FMS), blk for blocks in FMS, sblk for sub blocks in FMS, l for laths in FMS >>>

f: str: Cells (C)

c: numpy.array

n_c: int

v_c: dict

nv_c: dict

CB

Type:: Cell boundaries

cb: numpy.array

n_cb: int

v_cb: dict

nv_cb: dict: CB segments (CBS)

cbs: dict

n_cbs: dict

v_cbs: dict

nv_cbs: dict: CBS edges (CBSE)

cbse: dict

n_cbse: dict

v_cbse: dict

nv_cbse: dict: CBSE points (CBSEP)

cbsep: dict

n_cbsep: dict

v_cbsep: dict

nv_cbsep: dict: CBSE inflection vert (CBSEV)

cbsev: dict

n_cbsev: dict

v_cbsev: dict

nv_cbsev: dict: CBSE junc. pnts (CBSEJ)

cbsej: dict

n_cbsej: dict

v_cbsej: dict

nv_cbsej: dict

class upxo.pxtal.img_essentials_01.ids_CLS[source]

Bases: object

Feature ID stores for voxels, cells, and GB hierarchy (global numbering).

Holds global CBS / edge / junction-point ID arrays used with ids_counts_CLS hierarchical counts.

v: numpy.array

cbsG: numpy.array

cbseG: numpy.array

cbsejG: numpy.array

class upxo.pxtal.img_essentials_01.vox_CLS(l: float)[source]

Bases: object

Single-voxel geometry for an RVE (edge length l in micrometres).

vol is l³ in cubic micrometres.

l: float

property vol: float: Voxel volume (l³) in cubic micrometres.

class upxo.pxtal.img_essentials_01.rve_CLS(nx: int, ny: int, nz: int, vox: any)[source]

Bases: object

Rectangular voxel RVE: nx``×``ny``×``nz and attached vox_CLS.

After init, n is total voxels and vol is physical domain volume.

nx: int

ny: int

nz: int

vox: any

n: int

vol: float

set_n() → float[source]: Return total number of voxels (nx * ny * nz).

set_vol() → float[source]: Return total domain volume in cubic micrometres.