Modeling of warp tension variation during shedding operation using fuzzy logic

被引:9
|
作者
Dayik, Mehmet [1 ]
Kayacan, M. Cengiz [1 ]
Acar, Mustafa [2 ]
Calis, Hakan [3 ]
机构
[1] Suleyman Demirel Univ, Dept Text Engn, TR-32260 Isparta, Turkey
[2] Suleyman Demirel Univ, Dept Mech Engn, TR-32260 Isparta, Turkey
[3] Suleyman Demirel Univ, Elect & Comp Educ Dept, TR-32260 Isparta, Turkey
关键词
Weaving loom; shed height; fuzzy logic; warp tension; yarn density; yarn elasticity;
D O I
10.1080/00405000701608359
中图分类号
TB3 [工程材料学]; TS1 [纺织工业、染整工业];
学科分类号
0805 ; 080502 ; 0821 ;
摘要
In this study, warp tension in shedding operation is determined by fuzzy logic. Fuzzy model is established according to shedding height and weft yarn density and elasticity, the most effective parameters on warp yarn tension variation in the shedding operation. Expert knowledge and results of recent experiments are used in the determination of membership functions and their relationship rules between effective parameters. According to the results obtained from the test of the designed model, shedding height is found to be the most effective parameter on warp tension (up to 55 cN). It is also found that weft yarn density is not as effective as shedding height. Increase of 15% in warp yarn tension has been determined to be due to decrease in yarn elasticity. This study concludes that it is possible to control a weaving loom by using fuzzy logic.
引用
收藏
页码:505 / 514
页数:10
相关论文
共 50 条
  • [31] Modeling of the LICADO process using fuzzy logic and genetic algorithms
    Jenkins, K
    Gu, XQ
    Chiang, SH
    ADVANCES IN FILTRATION AND SEPARATION TECHNOLOGY, VOL 11 1997, 1997, : 17 - 17
  • [32] Population pharmacokinetic modeling of lithium using fuzzy logic.
    Sproule, BA
    Kilic, K
    Naranjo, CA
    Turksen, IB
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2001, 69 (02) : P86 - P86
  • [33] On enhancing on-line collaboration using fuzzy logic modeling
    Hadjileontiadou, SJ
    Nikolaidou, GN
    Hadjileontiadis, LJ
    Balafoutas, GN
    EDUCATIONAL TECHNOLOGY & SOCIETY, 2004, 7 (02): : 68 - 81
  • [34] Modeling and Simulation of a Photovoltaic System using Fuzzy Logic Controller
    Lalouni, Sofia
    Rekioua, Djamila
    2009 SECOND INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2009), 2009, : 23 - 28
  • [35] Optimizing Hot Tapping Using the Fuzzy Logic Modeling Approach
    Almostaneer, Hamad
    Liu, Stephen
    PROCEEDINGS OF THE 27TH INTERNATIONAL CONFERENCE ON OFFSHORE MECHANICS AND ARCTIC ENGINEERING - 2008, VOL 5, 2008, : 421 - 428
  • [36] Using a hybrid genetic algorithm and fuzzy logic for metabolic modeling
    Yen, J
    Lee, B
    Liao, JC
    PROCEEDINGS OF THE THIRTEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE, VOLS 1 AND 2, 1996, : 743 - 749
  • [37] Modeling supply chain's reconfigurability using fuzzy logic
    Ma, Bin
    Laura Xu Xiao Xia
    Lim, Roland
    ETFA 2007: 12TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, VOLS 1-3, 2007, : 234 - 241
  • [38] Using fuzzy logic and a hybrid genetic algorithm for metabolic modeling
    Yen, J
    Lee, B
    Liao, JC
    FUZZ-IEEE '96 - PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, 1996, : 220 - 225
  • [39] Software source code sizing using fuzzy logic modeling
    MacDonell, SG
    INFORMATION AND SOFTWARE TECHNOLOGY, 2003, 45 (07) : 389 - 404
  • [40] Representing continuous spatial variation of geographic phenomena using fuzzy logic
    Zhu, AX
    JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5, 2001, : 2382 - 2387