基于二元回归分析的玄武岩长丝上浆优化  

Optimization of basalt filament sizing processing based on binary regression analysis

作　　者：吴剑青[1,2] 钟智丽[1,2] 吕晨[1,2] 

机构地区：[1]天津工业大学纺织学部,天津300387 [2]天津工业大学先进纺织复合材料教育部重点实验室,天津300387

出　　处：《天津工业大学学报》2013年第2期39-41,共3页Journal of Tiangong University

基　　金：国家高技术研究发展计划项目(2012AA03A204-04)

摘　　要：研究玄武岩长丝上浆工艺,并对其混合浆料工艺进行优化.使用响应面法中的HDD进行试验设计,选取固体聚丙烯酸酯用量、混合浆液浓度等2个主要因素作为影响因子,以上浆后玄武岩长丝的耐磨性能作为考察对象,对实验数据进行处理,建立二次二元回归模型,并进行方差分析和显著性检验.结果表明:当固体聚丙烯酸酯浆料质量分数为21.29%,且浆液质量分数为8.41%,上浆温度为70℃时,浆纱的耐磨性能达到最优值.Sizing processing of basalt filament is studied and the process of blended size mixture is optimized. The experiment is designed by the HDD of response surface methodology （RSM）, selecting the amount of solid acrylic and concentration of blended size mixture as influencing factors, selecting the wear resistance of sized basalt filament as the subject of the study. A binary regression model is established by using data of wear resistance, which is verified by analysis of variance and significance test. It is found that when the content of solid acrylic is 21.29%, the concentration of blended size mixture is 8.41%, and the sizing temperature is 70 ℃, the wear resistance of sized basalt filament is the most optimal.

关 键 词：玄武岩长丝 上浆工艺 耐磨性 二元回归分析 响应面法 优化 

分 类 号：TS102.41[轻工技术与工程—纺织工程] TS105.2[轻工技术与工程—纺织科学与工程]