Nesting algorithm
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-
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- enNesting 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-
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- enNesting 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.
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- Algorithms
- Category:Geometric algorithms
- File:NestingTypes01.jpg
- Kerf
- Nesting (process)
- Recursion (computer science)
- Three-dimensional space
- Two-dimensional
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- fHif
- Nesting algorithm
- Q17042063
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- Category:Geometric algorithms
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