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首页> 外文期刊>Advances in materials science and engineering >Preparation of Reed Straw-Based Panels Bonded by Soy-Based Adhesives: Optimization via Response Surface Methodology
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Preparation of Reed Straw-Based Panels Bonded by Soy-Based Adhesives: Optimization via Response Surface Methodology

机译:由大豆基粘合剂粘合的芦苇秸秆基面板的制备:通过响应面法优化

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The optimization of manufacturing conditions for reed straw-based particleboard by soy-based adhesive was performed through response surface methodology. The interactions of various conditions, including adhesive amount, hot-pressing temperature, and hot-pressing time on wet internal bonding strength were investigated. A 3-level-3-factor Box–Behnken design was used to test the optimal preparation conditions of reed straw particleboard. The polynomial regression model for manufacturing conditions had a very significant level (p0.01). In addition, the determination coefficient (R2) and the adjust determination coefficient (R2) of this model were found to be 0.969 and 0.9292, respectively. The conditions optimized by the model were 25% of adhesive amount, 138°C of hot-pressing temperature, and 27?min of hot-pressing time. Under the optimal conditions, validation tests were performed, and the average value of parallel experiments was 0.17?±?0.02?MPa. Moreover, the thickness swelling of water absorption after soaking and mechanical properties (MOE and MOR) of samples prepared under optimized conditions were further measured, which all met the requirement of Type P6 particleboard. It could provide an efficient method for massive production of reed straw particleboard.
机译:通过响应面法进行大豆基粘合剂的芦苇秸秆基刨花板的制造条件的优化。研究了各种条件的相互作用,包括粘合剂量,热压温度和热压时间在湿内粘合强度上进行了研究。 3级3系列盒式设计用于测试芦苇秸秆刨花板的最佳制备条件。制造条件的多项式回归模型具有非常显着的水平(P <0.01)。另外,发现该模型的确定系数(R2)和调节确定系数(R2)分别为0.969和0.9292。由模型优化的条件为25%的粘合剂量,热压温度为138°C,热压时间为27Ω·米。在最佳条件下,进行了验证测试,并行实验的平均值为0.17?±0.02?MPa。此外,进一步测量了在优化条件下制备的样品浸泡和机械性能(MOE和MOR)之后的吸水性的厚度溶胀,这一切都符合P6粉性型粉丝型的要求。它可以提供一种有效的芦苇秸秆刨花板生产方法。

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