Calcmadeira: Software for Estimating Lumber Production

α
Thomaz Costa
Thomaz Costa
σ
Luiz França
Luiz França
ρ
Tiago Santos
Tiago Santos
Ѡ
Lucas Barbosa Ramos
Lucas Barbosa Ramos
¥
Monica Campanha
Monica Campanha

Send Message

To: Author

Calcmadeira: Software for Estimating Lumber Production

Article Fingerprint

ReserarchID

L6HVS

Calcmadeira: Software for Estimating Lumber Production Banner

AI TAKEAWAY

Connecting with the Eternal Ground
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

Abstract

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.

References

35 Cites in Article
  1. Ram Anjos,Apn Fonte (2017). Yield of sawn wood from Eucalyptus species.
  2. (2002). Associação Brasileira de Normas Técnicas (ABNT).
  3. F Baesler,E Araya,F Ramis,J Sepulveda (2004). The Use of Simulation and Design of Experiments for Productivity Improvement in the Sawmill Industry.
  4. Maria Farias Pigaiani,Marciane Silva Oliveira,Letícia Rodrigues Vidon,Alessandro Marques De Oliveira,Cosme Damião Cruz (2012). Artificial Neural Networks in the Perception of Genetic Differentiation Caused by Migration.
  5. A Bonato,M Rocha,Cgf Juizo,R Klitzke (2017). Effect of sawing system and diameter classes on Araucaria angustifolia sawn wood yield.
  6. Brazil (2016). Conclusiones del Seminario Aspectos Económicos de los Litigios en Materia de Propiedad Industrial. Madrid, del 13 al 15 de abril de 2016.
  7. José Chichorro,José Resende,Helio Leite (2003). Equações de volume e de taper para quantificar multiprodutos da madeira em Floresta Atlântica.
  8. Thomaz Costa,Monica Campanha,Luiz França,Miguel Gontijo Neto (2019). CalcMadeira – cálculo de peças de madeira roliça e serrada / CalcMadeira – calculation of round and square pieces of wood.
  9. Tcc Costa,M Campanha,W Albernaz,E Pinto,R Castro,L França (2019). CalcMadeira -Validation of sawn timber calculation by the Circumscript square (Block) and Longitudinal Methods. In C5g: Quantifying and forecasting market specific forest products in the forestry wood chain.
  10. Tcc Costa,M Campanha,Gontijo Neto,M (2016). Quantification of round eucalyptus wood compared to valuation in cubic meter and firewood: income options in integrated crop-livestock-forest (iLPF) systems, Embrapa, SeteLagoas.
  11. Marcelo Espindula,Alexandre Passos,Larissa Araújo,Alaerto Marcolan,Fábio Partelli,André Ramalho (2020). Indirect estimation of leaf area in genotypes of 'Conilon' coffee (Coffea canephora Pierre ex A. Froehner).
  12. A Cunha,M França,Ccf Almeida,L Gorski,R Cruz,D Santos (2015). Yield evaluation of Eucalyptus benthamii and Eucalyptus grandis sawn wood using tangential and radial sawing.
  13. U Halabe,B Gopalakrishnan,J Jadeja (2011). Advanced lumber manufacturing model for increasing yield in sawmills using GPR-based defect detection system.
  14. Márcia Cançado Figueiredo,Fernanda Wisniewski,Taiane Correa Furtado,Jéssica Vaz Silva,Eduarda Pereira Silvestre,Ximena Concha Melgar (2010). Oral health and socioeconomic indicators of adolescents living in a region of extreme poverty.
  15. Claudio Juizo,Márcio Rocha,Narciso Bila (2014). Avaliação do rendimento em madeira serrada de eucalipto para dois modelos de desdobro numa serraria portátil.
  16. A Kozak,D Munro,Jgh Smith (1969). Taper Functions and their Application in Forest Inventory.
  17. Eliane Vieira,Nerilson Terra Santos,Izabel D'almeida Duarte De Azevedo,José Bezerra Neto,Maria Rodriguez Simão,Ricardo Pinto Coelho (1994). Variabilidad espacial de la concentración de nitratos en el embalse de nova ponte, Minas Gerais, Brasil, por medio de la geoestadística y los sistemas de información geográfica.
  18. Librecad (2020). Unknown Title.
  19. W Lin,D Kline,P Araman,J Wiedenbeck (1995). A computer-simulation-oriented design procedure for a robust and feasible job shop manufacturing system.
  20. Alberto Manhiça,Márcio Rocha,Romano Timofeiczyk Junior (2013). Eficiência operacional no desdobro de Pinus utilizando modelos de corte numa serraria de pequeno porte.
  21. Sergio Maturana,Enzo Pizani,Jorge Vera (2010). Scheduling production for a sawmill: A comparison of a mathematical model versus a heuristic.
  22. Murara Junior,M Rocha,M Trugilho,P (2013). Yield estimation of pine sawn wood for two sawing methodologies.
  23. E Oliveira,M Haliski,N Nakajima,M Chang (2011). Determining the amount of wood, carbon and financial gain from the forest plantation.
  24. Willian Giordani,Leandro Gonçalves,Larissa Moraes,Leonardo Ferreira,Norman Neumaier,José Farias,Alexandre Nepomuceno,Maria Oliveira,Liliane Marcia Mertz- Henning (2011). Identification of agronomical and morphological traits contributing to drought stress tolerance in soybean.
  25. (2020). Catalogue:.
  26. M Rocha,I Tomaselli (2002). Effect of the sawing model on the quality of Eucalyptus grandis and Eucalyptus dunnii lumber.
  27. F Schumacher,F Hall (1933). FX-XTRA and FS.
  28. Edson Serpe,Afonso Filho,Julio Arce (2018). RENDIMENTO DO DESDOBRO DE MADEIRA EM SERRARIA CONVENCIONAL E DIFERENTES SIMULAÇÕES UTILIZANDO OTIMIZADOR COMPUTACIONAL.
  29. Thelma Soares,Antonio Vale,Helio Leite,Carlos Machado (2003). Otimização de multiprodutos em povoamentos florestais.
  30. P Steele (1984). Unknown Title.
  31. Tekl Studio (2018). CultLog software. Detva.
  32. Christine Cheng (2020). Timber.
  33. Anatoly Voronin,Vladimir Kuznetsov,Ivan Arkhipov,Anton Shabaev (2012). Software system for sawmill operation planning.
  34. Francisco Vergara,Cristian Palma,Héctor Sepúlveda (2015). A comparison of optimization models for lumber production planning.
  35. Gvp Nunes (2013). Algorithms for generating parallel and radial cutting patterns in the wood log process.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite 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): .

Download Citation

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

Keywords
Classification
GJSFR-I Classification: DDC Code: 662.88 LCC Code: TP339
Version of record

v1.2

Issue date

June 25, 2022

Language
en
Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices
Total Views: 1603
Total Downloads: 33
2026 Trends
Related Research

Published Article

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.

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

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

Research Journals