组织工艺参数对经编送经量的影响  被引量:3

Influence of weave parameters on warp-knitted run-in values

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作  者:张吉生[1] 蒋高明[1] 

机构地区:[1]江南大学教育部针织技术工程研究中心,江苏无锡214122

出  处:《纺织学报》2016年第9期42-47,共6页Journal of Textile Research

基  金:中央高校基本科研业务费专项资金资助项目(JUSRP51404A);江苏省自然科学基金资助项目(BK20151129);江苏省产学研联合创新资金-前瞻性联合研究项目(BY2015019-20)

摘  要:为提高经编送经量的预测精度,测试了5种不同组织工艺参数下38种试样的送经量,并采用IBM SPSS19进行单因素分析和多元线性回归分析,得出各组织工艺参数因素与送经量间的关系;建立送经量多元线性回归预测模型。研究结果表明:针背横移、针前横移与送经量成正相关且影响程度大,牵拉密度、机号与送经量成负相关且影响程度较小,总穿经率对送经量的影响程度很小;组织工艺参数对送经量影响程度由大到小排序依次为针背横移、针前横移、牵拉密度、机号和总穿经率;得出的多元线性预测模型具有较好预测精度,可为送经量的预测提供一定的参考。To improve prediction accuracy of warp knitting run-in values, run-in values of 38 samples with 5 different weave parameters were measured. Then, experimental results were analyzed by IBM SPSS19 to research the relationship between run-in values and fabric weave parameters. Moreover, a multiple linear regression model for forecasting run-in values were suggested. It is indicated by the result that both of overlap shogging and underlap shogging have significant positive correlation with the run-in values. Both of take-up density and machine gauge have negative correlation with run-in values. The run- in values are slightly positively affected by total rate of threading. The impact significance of the 5 factors from big to small is in the order of underlap shogging, overlap shogging, take-up density, machine gauge and total rate of threading. Furthermore, a multiple linear regression model was obtained to provide reference for predicting run-in values.

关 键 词:送经量 经编 组织工艺参数 线性回归 

分 类 号:TS106.56[轻工技术与工程—纺织工程]

 

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