Optimisation of the processing variables for high polymer loading in compressed wood using response surface methodology

A. Zaidon, Gyu Hyeok Kim, M. T. Paridah, E. S. Bakar, I. Rushdan

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Response surface methodology (RSM) was applied to optimise processing variables in achieving high polymer loading in compressed sesenduk (Endospermum diadenum) wood. Central composite design (CCD) using RSM with three process variables, namely, phenol formaldehyde concentration (PC), pre-curing time (PCT) and compression ratio (CR) was used in this study to optimise effects of these variables on polymer loading. A quadratic model was obtained for polymer loading through this design. The experimental values were in good agreement with the predicted ones and the model was highly significant with correlation coefficient of 0.915. Within the pre-curing time applied in this study, the independent variable did not show any significant effect on polymer loading. Interactions between PC and PCT, PC and CR, and PCT and CR were negligible. Maximum polymer loading was achieved with 36% phenol formaldehyde solution and 74% compression ratio.

Original languageEnglish
Pages (from-to)241-248
Number of pages8
JournalJournal of Tropical Forest Science
Volume24
Issue number2
Publication statusPublished - 2012 Apr 1

Fingerprint

compressed wood
response surface methodology
curing (nonfood products)
polymers
formaldehyde
polymer
phenol
compression
Endospermum

Keywords

  • Central composite design
  • Compreg
  • Response surface method

ASJC Scopus subject areas

  • Forestry

Cite this

Optimisation of the processing variables for high polymer loading in compressed wood using response surface methodology. / Zaidon, A.; Kim, Gyu Hyeok; Paridah, M. T.; Bakar, E. S.; Rushdan, I.

In: Journal of Tropical Forest Science, Vol. 24, No. 2, 01.04.2012, p. 241-248.

Research output: Contribution to journalArticle

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