Type

Data source

Date

Thumbnail

Search results

52 records were found.

Bibliografia : f. 54
Trabalho apresentado para conclusäo do curso de Estudos Superiores Especializados em Educaçäo Especial
Contém referências bibliográficas
Contém referências bibliográficas
Contém referências bibliográficas
Contém referências bibliográficas
Contém referências bibliográficas
Contém referências bibliográficas
Contém referências bibliográficas
Economia e política agrícolas
Maquinaria e equipamento agrícola
Contém referências bibliográficas
Processamento de produtos florestais
Contém referências bibliográficas
Proveniente do fundo do ex-CDE existente no IPCB
Paper properties determine the product application potential and depend on the raw material, pulping conditions, and pulp refining. The aim of this study was to construct mathematical models that predict quantitative relations between the paper density and various mechanical and optical properties of the paper. A dataset of properties of paper handsheets produced with pulps of Acacia dealbata, Acacia melanoxylon, and Eucalyptus globulus beaten at 500, 2500, and 4500 revolutions was used. Unsupervised classification techniques were combined to assess the need to perform separated prediction models for each species, and multivariable regression techniques were used to establish such prediction models. It was possible to develop models with a high goodness of fit using paper density as the independent variable (or predictor) for all variables except tear index and zero-span tensile strength, both dry and wet.