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

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...

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Main Authors: Ashaari, Zaidon, Bakar, Edi Suhaimi, Md. Tahir, Paridah, Kim, G.H., Rushdan, I.
Format: Article
Language:English
English
Published: 2012
Online Access:http://psasir.upm.edu.my/id/eprint/24008/
http://psasir.upm.edu.my/id/eprint/24008/1/Optimization%20of%20the%20processing%20variables%20for%20high%20polymer%20loading%20in%20compressed%20wood%20using%20response%20surface%20methodology.pdf
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author Ashaari, Zaidon
Bakar, Edi Suhaimi
Md. Tahir, Paridah
Kim, G.H.
Rushdan, I.
author_facet Ashaari, Zaidon
Bakar, Edi Suhaimi
Md. Tahir, Paridah
Kim, G.H.
Rushdan, I.
author_sort Ashaari, Zaidon
building UPM Institutional Repository
collection Online Access
description 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.
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spelling upm-240082015-09-28T08:50:06Z http://psasir.upm.edu.my/id/eprint/24008/ Optimization of the processing variables for high polymer loading in compressed wood using response surface methodology. Ashaari, Zaidon Bakar, Edi Suhaimi Md. Tahir, Paridah Kim, G.H. Rushdan, I. 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. 2012 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/24008/1/Optimization%20of%20the%20processing%20variables%20for%20high%20polymer%20loading%20in%20compressed%20wood%20using%20response%20surface%20methodology.pdf Ashaari, Zaidon and Bakar, Edi Suhaimi and Md. Tahir, Paridah and Kim, G.H. and Rushdan, I. (2012) Optimization of the processing variables for high polymer loading in compressed wood using response surface methodology. Journal of Tropical Forest Science, 24 (2). pp. 241-248. ISSN 0128-1283 English
spellingShingle Ashaari, Zaidon
Bakar, Edi Suhaimi
Md. Tahir, Paridah
Kim, G.H.
Rushdan, I.
Optimization of the processing variables for high polymer loading in compressed wood using response surface methodology.
title Optimization of the processing variables for high polymer loading in compressed wood using response surface methodology.
title_full Optimization of the processing variables for high polymer loading in compressed wood using response surface methodology.
title_fullStr Optimization of the processing variables for high polymer loading in compressed wood using response surface methodology.
title_full_unstemmed Optimization of the processing variables for high polymer loading in compressed wood using response surface methodology.
title_short Optimization of the processing variables for high polymer loading in compressed wood using response surface methodology.
title_sort optimization of the processing variables for high polymer loading in compressed wood using response surface methodology.
url http://psasir.upm.edu.my/id/eprint/24008/
http://psasir.upm.edu.my/id/eprint/24008/1/Optimization%20of%20the%20processing%20variables%20for%20high%20polymer%20loading%20in%20compressed%20wood%20using%20response%20surface%20methodology.pdf