Calcmadeira: Software for Estimating Lumber Production

1
Thomaz Costa
Thomaz Costa
2
Luiz França
Luiz França
3
Tiago Santos
Tiago Santos
4
Lucas Barbosa Ramos
Lucas Barbosa Ramos
5
Monica Campanha
Monica Campanha

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GJSFR Volume 22 Issue I2

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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 30 o 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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No external funding was declared for this work.

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The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Not applicable for this article.

Thomaz Costa. 2026. \u201cCalcmadeira: Software for Estimating Lumber Production\u201d. Global Journal of Science Frontier Research - I: Interdisciplinary GJSFR-I Volume 22 (GJSFR Volume 22 Issue I2): .

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Accurate lumber estimation software for sustainable timber production and forestry research.
Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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GJSFR-I Classification: DDC Code: 662.88 LCC Code: TP339
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v1.2

Issue date

June 25, 2022

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English

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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 30 o 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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Calcmadeira: Software for Estimating Lumber Production

Thomaz Costa
Thomaz Costa
Luiz França
Luiz França
Tiago Santos
Tiago Santos
Lucas Barbosa Ramos
Lucas Barbosa Ramos
Monica Campanha
Monica Campanha

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