A 3D optimization algorithm for sustainable cutting of slabs from ornamental stone blocks
Ornamental stones are natural building materials, extracted from quarries, which need to be cut and processed sustainably. Natural discontinuities adversely affect the sawing/cutting of blocks into commercial-size slabs. This work presents a 3D optimization algorithm for the sawing/cutting of orname...
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Veröffentlicht in: | Resources policy 2020-03, Vol.65, p.101533, Article 101533 |
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Sprache: | eng |
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Zusammenfassung: | Ornamental stones are natural building materials, extracted from quarries, which need to be cut and processed sustainably. Natural discontinuities adversely affect the sawing/cutting of blocks into commercial-size slabs. This work presents a 3D optimization algorithm for the sawing/cutting of ornamental stone blocks. The developed algorithm is based on 3D modeling of discontinuities as data input. The algorithm search for the intersection between a 3D cutting grid formed of a determined size of slabs and the model of discontinuities leading to calculate the recovery ratio considering several cutting orientations and displacements of the 3D cutting grid. The algorithm was coded in a program named SlabCutOpt that allows speed problem solving. SlabCutOpt was implemented on a real case study of a commercial-size limestone block extracted from a quarry in Italy. A number of 37 different commercial-sizes of slabs forming 37 cutting grids were tested to investigate the optimum results in geo-environmental direction (recovery ratio) and economic direction (revenue). The findings revealed that a certain slab size gave the optimum recovery ratio, whilst another slab size provided the optimum revenue.
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•A 3D algorithm for sustainable cutting of slabs from stone blocks is presented.•The algorithm is based on modeling of discontinuities as 3D surfaces.•The algorithm aims at finding optimum environmental and economic solutions.•The algorithm was programmed and tested in a real case study of limestone block.•The results showed variability of solutions within different cutting scenarios. |
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ISSN: | 0301-4207 1873-7641 |
DOI: | 10.1016/j.resourpol.2019.101533 |