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A Statistical Approach to Engineer a Biocomposite Formulation from Biofuel Coproduct with Balanced Properties

机译:一种从具有平衡特性的生物燃料副产物设计生物复合制剂的统计方法

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摘要

A 3~2-full factorial design of experiment (DOE) and regression modeling were implemented together as a practical approach to attain a distillers' grains-filled biocomposite with balanced mechanical and physical properties. The effects of compatibilizer and lubricant on tensile strength, flexural modulus, impact strength and melt flow index of the biocomposites were studied. Analysis of variance (ANOVA) was implemented to develop least square regression models containing statistically significant main effects (linear and quadratic) and interaction effect. The developed models showed good predictability for the new measurements. The statistical approach adopted in this work including overlaying contour plots of the response surfaces in the studied level domain was effective in highlighting an optimized region that leads to balanced mechanical and physical properties.
机译:将3到2个完整的因子设计实验(DOE)和回归模型结合起来,作为一种实用的方法来获得具有平衡的机械和物理特性的酒糟填充生物复合材料。研究了增容剂和润滑剂对生物复合材料的拉伸强度,弯曲模量,冲击强度和熔体流动指数的影响。实施方差分析(ANOVA)来开发最小二乘回归模型,该模型包含具有统计意义的主效应(线性和二次)和相互作用效应。所开发的模型对于新测量显示出良好的可预测性。在这项工作中采用的统计方法包括在研究的水平域中叠加响应表面的轮廓图,可以有效地突出显示导致平衡的机械和物理特性的优化区域。

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