BasicIslandHatcher

class pyslm.hatching.BasicIslandHatcher

Bases: pyslm.hatching.hatching.Hatcher

BasicIslandHatcher extends the standard Hatcher but generates a set of islands of fixed size (islandWidth) which covers a region. This a common scan strategy adopted across SLM systems. This has the effect of limiting the max length of the scan whilst by orientating the scan vectors orthogonal to each other mitigating any preferential distortion or curling in a single direction and any effects to micro-structure.

Note:

This method is not optimal and is provided as a reference for the user to improve their own understand and develop their own island scan strategies. For optimal performance, the user should refer instead to IslandHatcher

Attributes Summary

islandOffset	The island offset is the relative distance (hatch spacing) to move the scan vectors between adjacent checkers.
islandOverlap	The length of overlap between adjacent islands
islandWidth	The island width

Methods Summary

generateHatching(paths, hatchSpacing[, …])

Generates un-clipped hatches which is guaranteed to cover the entire polygon region base on the maximum extent of the polygon bounding box.

Attributes Documentation

islandOffset

The island offset is the relative distance (hatch spacing) to move the scan vectors between adjacent checkers.

Return type:

float

islandOverlap

The length of overlap between adjacent islands

Return type:

float

islandWidth

The island width

Return type:

float

Methods Documentation

generateHatching(paths, hatchSpacing, hatchAngle=90.0)

Generates un-clipped hatches which is guaranteed to cover the entire polygon region base on the maximum extent of the polygon bounding box.

Parameters:

• paths – The boundaries that the hatches should fill entirely

• hatchSpacing (float) – The hatch spacing

• hatchAngle (float) – The hatch angle (degrees) to rotate the scan vectors

Return type:

ndarray

Returns:

Returns the list of unclipped scan vectors covering the region