| 真空浸渍法制备纳米Ag/TiO_2木基复合材料的工艺优化 |
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| 引用本文： | 林琳,刘毅,郭洪武,张健.真空浸渍法制备纳米Ag/TiO_2木基复合材料的工艺优化[J].林产工业,2019,46(4):9-13,19. |
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| 作者姓名： | 林琳 刘毅 郭洪武 张健 |
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| 作者单位： | 北华大学材料科学与工程学院,吉林,132001;北京林业大学材料科学与技术学院,北京,100083;北华大学理学院,吉林,132001 |
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| 基金项目： | 吉林省教育厅十三五科学技术项目;吉林省教育厅十三五科学技术项目;北华大学博士科研启动基金;北华大学博士科研启动基金 |
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| 摘 要： | 近年来,纳米Ag/TiO_2防霉剂因具有化学性质稳定、催化活性高、成本低、环境友好等特点而受到广泛关注。但纳米Ag/TiO_2极易团聚,其使用范围和效果受到了限制。笔者采用真空浸渍法,得出纳米Ag/TiO_2防霉剂浸渍木材的理想工艺和防霉性能。通过直观分析和方差分析探究真空度、真空时间、防霉剂浓度三因素对樟子松载药量和抗流失率的影响。采用模糊数学综合评判法对载药量和抗流失率进行综合评判。研究发现,防霉效果较浸渍前提高14.5倍,防治效果达到96.67%。
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| 关 键 词： | 纳米Ag/TiO2 真空浸渍 木材改性 最佳工艺参数 模糊数学综合评判 |
Process Optimization of Nano-Ag/TiO_2 Wood-based Composite Materials Prepared by Vacuum Impregnation |
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| LIN Lin,LIU Yi,GUO Hong-wu,ZHANG Jian.Process Optimization of Nano-Ag/TiO_2 Wood-based Composite Materials Prepared by Vacuum Impregnation[J].China Forest Products Industry,2019,46(4):9-13,19. |
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| Authors: | LIN Lin LIU Yi GUO Hong-wu ZHANG Jian |
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| Institution: | (College of Material Science and Engineering, Beihua University, Jilin 132001,China;College of Materials Science and Technology, Beijing Forestry University, Beijing 100083,China;College of Science, Beihua University, Jilin 132001,China) |
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| Abstract: | Nano-Ag/TiO2 mildew inhibitor has attracted wide attention due to its stable chemical properties, high catalytic activity, low cost and environmental friendliness. However, nano-Ag/TiO2 are easily agglomerated, which limits their application range and effect. In this work, the ideal process and mildew resistance of nano-Ag/TiO2 mildew inhibitor impregnated wood were obtained by vacuum impregnation method. The effects of vacuum degree, vacuum time and fungicide concentration on the drug loading and anti-loss rate of Pinus sylvestris var. mongolica were investigated by visual-variance analysis and Fuzzy Comprehensive Evaluation (FCE). The results showed that the anti-mildew effect was 14.5 times higher than that before impregnation, and the control effect reached 96.67%. |
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| Keywords: | Nano-Ag/TiO2 Vacuum impregnation Wood modification Optimal process parameters Comprehensive fuzzy mathematic method |
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