Nesting algorithms

From Wikipedia, the free encyclopedia

Nesting Algorithms are used to make the most efficient use of material or space by evaluating many different possible combinations via Recursion.


  • 1. Linear (1-dimensional)

    The simplest of the algorithms illustrated here.

    For an existing set there is only one position where a new cut can be placed--at the end of the last cut.

    Validation of a combination involves a simple Stock - Yield - Kerf = Scrap calculation.

  • 2. Plate (2-dimensional)

    These algorithms are significantly more complex.

    For an existing set, there may be as many as eight positions where a new cut may be introduced next to each existing cut, and if the new cut is not perfectly square then different rotations may need to be checked.

    Validation of a potential combination involves checking for intersections between two-dimensional objects.

  • 3. Packing (3-dimensional)

    These algorithms are the most complex illustrated here due to the larger number of possible combinations.

    Validation of a potential combination involves checking for intersections between three-dimensional objects.

Image:NestingTypes01.jpg



Some factors worth considering when comparing...
  • Linear (1-dimensional) cut combinations:
  • Kerf
  • Scrap or drop length
  • Cost or preference of source material
  • Plate (2-dimensional) cut combinations:
  • Kerf
  • Area, shape, and useability of resulting scrap or drop
  • Cost or preference of source material
  • Number of cuts required
  • Density (Yield Area / Cut Bounding Box)
    i.e. If a combination consists of only two rectangular 1x2' cuts, placing them parallel results in a higher density than placing them in a T or L shape.
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