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首页> 外文期刊>Journal of Tropical Forest Science >OPTIMISATION OF THE PROCESSING VARIABLES FOR HIGH POLYMER LOADING IN COMPRESSED WOOD USING RESPONSE SURFACE METHODOLOGY
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OPTIMISATION OF THE PROCESSING VARIABLES FOR HIGH POLYMER LOADING IN COMPRESSED WOOD USING RESPONSE SURFACE METHODOLOGY

机译:响应面法优化压缩木材中高聚物负载量的加工变量

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摘要

ZAIDON A, KIM GH, PARIDAH MT, BAKAR ES & RUSHDAN I. 2012. Optimisation 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 (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.
机译:ZAIDON A,KIM GH,PARIDAH MT,BAKAR ES和RUSHDANI。2012年。使用响应表面方法优化压缩木材中高聚合物含量的加工变量。响应面方法学(RSM)用于优化加工变量,以实现压缩芝麻木(Endospermum diadenum)木材中的高聚合物负载。在这项研究中,使用了RSM的中心复合设计(CCD)和三个工艺变量,即苯酚甲醛浓度(PC),预固化时间(PCT)和压缩比(CR),以优化这些变量对聚合物负载量的影响。通过该设计获得了二次加载聚合物的模型。实验值与预测值吻合较好,模型具有很高的相关性,相关系数为0.915。在本研究中使用的预固化时间内,独立变量未对聚合物负载量显示任何显着影响。 PC和PCT,PC和CR以及PCT和CR之间的相互作用可以忽略不计。使用36%的苯酚甲醛溶液和74%的压缩比可达到最大的聚合物负载量。

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