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 language | English |
|---|---|
| Pages (from-to) | 241-248 |
| Number of pages | 8 |
| Journal | Journal of Tropical Forest Science |
| Volume | 24 |
| Issue number | 2 |
| Publication status | Published - 2012 Apr 1 |
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Keywords
- Central composite design
- Compreg
- Response surface method
ASJC Scopus subject areas
- Forestry
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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 journal › Article
}
TY - JOUR
T1 - Optimisation of the processing variables for high polymer loading in compressed wood using response surface methodology
AU - Zaidon, A.
AU - Kim, Gyu Hyeok
AU - Paridah, M. T.
AU - Bakar, E. S.
AU - Rushdan, I.
PY - 2012/4/1
Y1 - 2012/4/1
N2 - 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.
AB - 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.
KW - Central composite design
KW - Compreg
KW - Response surface method
UR - http://www.scopus.com/inward/record.url?scp=84859892959&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84859892959&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:84859892959
VL - 24
SP - 241
EP - 248
JO - Journal of Tropical Forest Science
JF - Journal of Tropical Forest Science
SN - 0128-1283
IS - 2
ER -