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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
23/08/2022 |
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Data da última atualização: |
24/08/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
COSTA, T. C. e C. da; FRANÇA, L.; SANTOS, T.; RAMOS, L. B.; CAMPANHA, M. M. |
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Afiliação: |
THOMAZ CORREA E CASTRO DA COSTA, CNPMS; LUIZ FRANÇA, SIG Soluções Ltda; TIAGO SANTOS, SIG Soluções Ltda; LUCAS BARBOSA RAMOS, Universidade Federal São João del-Rei; MONICA MATOSO CAMPANHA, CNPMS. |
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Título: |
CalcMadeira: software for estimating lumber production. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Global Journal of Science Frontier Research, v. 22, n. 2, p. 1-17, 2022. |
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Idioma: |
Inglês |
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Conteúdo: |
One information that is generally not used but is still essential to the economic evaluation and wood yield of the sawmill production chain is the quantification of lumber a priori. The few applications that provide a solution to this problem work with one log at a time and generally use optimization techniques instead of cut pattern models. The software developed for this work uses trigonometric rules, applying the circumscribed square (block), longitudinal (or tangential), log rotation, and radial cut patterns to help a producer sell a tree not in cubic meters but as a function of the pieces obtained from trees. Six tests were performed using trees and individual logs. The comparison between the calculated and milled or drawing pieces was presented for each model. The total errors obtained were approximately 2% for priority pieces. The best accuracy for the number and volume of the lumber pieces was 2.2% and -5.4%, respectively, obtained with a 30o angle of the slab (waste wood) and 0.60 to the proportion of the radius parameters in the model that rotates the log. The total calculated and observed piece width distributions were statistically equal in the radial model. This application requires observation of the milling operation while monitoring parameters in a heterogeneous sample of wooden logs to obtain the best results. |
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Palavras-Chave: |
Padrão de corte; Tronco. |
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Thesagro: |
Madeira; Serra. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1145671/1/CalcMadeira-software-for-estimating-lumber-production.pdf
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Marc: |
LEADER 01947naa a2200217 a 4500
001 2145671
005 2022-08-24
008 2022 bl uuuu u00u1 u #d
100 1 $aCOSTA, T. C. e C. da
245 $aCalcMadeira$bsoftware for estimating lumber production.$h[electronic resource]
260 $c2022
520 $aOne information that is generally not used but is still essential to the economic evaluation and wood yield of the sawmill production chain is the quantification of lumber a priori. The few applications that provide a solution to this problem work with one log at a time and generally use optimization techniques instead of cut pattern models. The software developed for this work uses trigonometric rules, applying the circumscribed square (block), longitudinal (or tangential), log rotation, and radial cut patterns to help a producer sell a tree not in cubic meters but as a function of the pieces obtained from trees. Six tests were performed using trees and individual logs. The comparison between the calculated and milled or drawing pieces was presented for each model. The total errors obtained were approximately 2% for priority pieces. The best accuracy for the number and volume of the lumber pieces was 2.2% and -5.4%, respectively, obtained with a 30o angle of the slab (waste wood) and 0.60 to the proportion of the radius parameters in the model that rotates the log. The total calculated and observed piece width distributions were statistically equal in the radial model. This application requires observation of the milling operation while monitoring parameters in a heterogeneous sample of wooden logs to obtain the best results.
650 $aMadeira
650 $aSerra
653 $aPadrão de corte
653 $aTronco
700 1 $aFRANÇA, L.
700 1 $aSANTOS, T.
700 1 $aRAMOS, L. B.
700 1 $aCAMPANHA, M. M.
773 $tGlobal Journal of Science Frontier Research$gv. 22, n. 2, p. 1-17, 2022.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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