| 摘要: |
| 目的 为了提高花生秸秆的回收利用率，并为花生秸秆纤维提供一种可行的处理方式，将其与木纤维一起热压制备无胶纤维板。方法 不添加胶黏剂，用热压成型技术将花生秸秆制备纤维板。分别以热压温度、压力、时间和花生秸秆添加量等4个因素进行单因素试验，再通过三因素三水平响应面实验进行工艺优化。结果 响应面模型P<0.01，失拟项P=0.4896>0.05，模型回归系数R2=0.9867；响应面优化得到了最佳工艺条件，即热压温度为170 ℃、热压压力为8 MPa、热压时间为6 min、花生秸秆质量分数为20%，此条件下静曲强度值最大，为10.1815 MPa。结论 回归模型达到极显著水平，模型失拟度不显著，表明模型相关度好。在最佳工艺条件下进行验证试验得到的静曲强度数值为(10.182 33±0.157)MPa，与预测值接近，表明优化工艺可靠。 |
| 关键词: 花生秸秆 纤维板 热压成型技术 工艺优化 响应面法 |
| DOI：10.19554/j.cnki.1001-3563.2020.11.019 |
| 分类号:TQ352 |
| 基金项目: |
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| Preparation Technology and Optimization of Peanut Straw Fiberboard without Adhesive |
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PAN Qing-qing1, WU Ding-cheng1, SHAN Wei-xiong2, XIANG Hong1
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1.College of Food Science, South China Agricultural University, Guangzhou 510642, China;2.Guangzhou Zhi Jian General Equipment Manufacturing Co., Ltd., Guangzhou 510760, China
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| Abstract: |
| The work aims to improve the recycling rate of peanut straw and provide a feasible treatment method for peanut straw fiber to be hot pressed together with wood fiber to prepare adhesive-free fiberboard. Peanut straw was prepared into fiberboard without adding adhesive by hot pressing technology. The single factor experiment was carried out with four factors, namely hot pressing temperature, pressure, time and peanut straw addition amount, and then the process was optimized by the three-factor and three-level response surface experiment. The response surface model P<0.01, lack of fit P=0.4896>0.05 and model regression coefficient R2=0.9867. After the response surface was optimized, the optimal process condition was obtained as follows: the hot pressing temperature was 170 ℃; the hot pressing pressure was 8 MPa; the hot pressing time was 6 min and the mass fraction of peanut straw was 20%. Under these conditions, the MOR value was the largest, which was 10.1815 MPa. The regression model reaches the extremely significant level, but the model out-of-fit degree is not significant, which indicates that the model correlation degree is good. The MOR value obtained by the verification test under the optimal process condition is (10.182 33±0.157)MPa, which is close to the predicted value, indicating that the optimized process is reliable. |
| Key words: peanut straw fiberboard hot pressing technology process optimization response surface method |
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