JOURNAL OF TEXTILE RESEARCH ›› 2016, Vol. 37 ›› Issue (01): 41-46.

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Parameters optimization of air splicing by response surface method

  

  • Received:2014-10-27 Revised:2015-08-11 Online:2016-01-15 Published:2016-01-14

Abstract:

In order to study the effect of inlet pressure, untwisting time and overlapping length on the splice retained strength of splicing yarn, the orthogonal experiment design of three factors and three levels was carried out by using inlet pressure, untwisting time and overlapping length of separation yarn as the design factors. According to breaking strength of the spliced yarns, the response surface model of splice retained strength was obtained. On the base of the response surface model, the interaction effects of splicing inlet pressure, untwisting time and overlapping length on splice retained strength were discussed. The results show that inlet pressure and overlapping length have more significant influence on the splice retained strength of spliced yarn than untwisting time. 87.85% of origin yarn’s strength can be remained on the spliced yarn by applying the optimized parameters from response surface model.

Key words: air splicing, splice retained strength, response surface method, optimization design

CLC Number: 

  • TS103.11
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[1] . [J]. JOURNAL OF TEXTILE RESEARCH, 1981, 2(04): 55 -57 .
[2] . [J]. JOURNAL OF TEXTILE RESEARCH, 1994, 15(07): 36 -39 .
[3] . [J]. JOURNAL OF TEXTILE RESEARCH, 1984, 5(09): 36 -38 .
[4] AN Qiufeng;GAO Shengli;LI Linsheng;ZHANG Xiya;JIN Yunxia;LI Mingtao. Film morphology and molecular orientation of amino functional polysiloxane on cotton fiber substrate[J]. JOURNAL OF TEXTILE RESEARCH, 2007, 28(6): 8 -11 .
[5] LI Fuchao;CHEN Qingguan;YANG Chengshuai. Development of equipment for measuring high temperature and high relative humidity of steam in steaming process[J]. JOURNAL OF TEXTILE RESEARCH, 2011, 32(3): 133 -137 .
[6] . [J]. JOURNAL OF TEXTILE RESEARCH, 1982, 3(11): 17 -21 .
[7] . [J]. JOURNAL OF TEXTILE RESEARCH, 2003, 24(05): 9 -11 .
[8] . [J]. JOURNAL OF TEXTILE RESEARCH, 1994, 15(01): 20 .
[9] . [J]. JOURNAL OF TEXTILE RESEARCH, 1980, 1(01): 36 -44 .
[10] YANG Jianzhong;LI Bo;LU Lu;LI Wei. Luster and structure of Optim fiber and its blended fabrics[J]. JOURNAL OF TEXTILE RESEARCH, 2007, 28(2): 17 -20 .