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#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.<ref name=a />
#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.<ref name=a />
#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 space|three-dimensional]] objects.
#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 space|three-dimensional]] objects.

<ref name=a>{{cite web|last1=Herrmann|first1=Jeffrey|last2=Delalio|first2=David|title=Algorithms for Sheet Metal Nesting|url=http://www.isr.umd.edu/Labs/CIM/projects/nesting/sheetmetal.pdf|publisher=IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION|accessdate=29 August 2015}}</ref>
==References==
{{Reflist}}


[[Category:Geometric algorithms]]
[[Category:Geometric algorithms]]
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<ref name=a>{{cite web|last1=Herrmann|first1=Jeffrey|last2=Delalio|first2=David|title=Algorithms for Sheet Metal Nesting|url=http://www.isr.umd.edu/Labs/CIM/projects/nesting/sheetmetal.pdf|publisher=IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION|accessdate=29 August 2015}}</ref>

Revision as of 06:55, 30 August 2015

Pictorial representations of three different types of nesting algorithms: Linear, Plate and Packing

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.[1]
  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.

[1]

References

  1. ^ a b Herrmann, Jeffrey; Delalio, David. "Algorithms for Sheet Metal Nesting" (PDF). IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION. Retrieved 29 August 2015.