Computational Fluid Dynamic Simulation of Fabric Cooling in a Stenter Machine

被引:0
|
作者
Erdogan, Ahmet [1 ,2 ]
Sigirci, Muhammet Tibet [2 ,3 ]
机构
[1] Univ Nottingham, Adv Mat Res Grp, Nottingham NG7 2RD, England
[2] Inonu Univ, Fac Engn, Mech Engn, TR-44280 Malatya, Turkiye
[3] ILSAN Text Co, TR-44900 Malatya, Turkiye
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 03期
关键词
stenter machine; computational fluid dynamics; heat transfer; air flow; cooling; TEXTILE;
D O I
10.3390/app14031103
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Stenter machines are used to remove moisture from fabrics produced in the textile industry. Following the drying process, the cooling process, which is applied to fabrics using injector channels, is conducted in the last section of a stenter machine, preventing fabrics from expanding and the degradation of their quality. The present study mainly aimed to investigate the fabric-cooling process in a stenter machine used actively in a textile company. First, industrial data were obtained with some experiments, and computational fluid dynamics (CFD) simulations were then conducted by validating the industrial data. All CFD models were simulated using ANSYS Fluent commercial CFD software. A total of four parameters, including two geometric and two operating parameters, were considered in order to investigate their effects on the fabric-cooling performance of the stenter machine. While the geometric parameters were the porosity (beta) and injector angle (alpha), the operating parameters were the velocity of the airflow that cools the fabrics and fabric velocity, representing the movement of the fabric. As outputs of CFD simulations, fabric surface temperature values, the distributions of fabric surface temperatures, and some streamlines were illustrated. Although low values of porosity (beta 1 = 0.05) and injector angle (alpha 1 = 0 degrees) provided better performance, airflow velocity could be increased one or two times for the range of these constant parameters.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Thermal analysis for multichip module using computational fluid dynamic simulation
    Cheng, YJ
    Zhu, WJ
    Zhu, R
    Xu, GW
    Luo, L
    PROCEEDINGS OF THE SIXTH IEEE CPMT CONFERENCE ON HIGH DENSITY MICROSYSTEM DESIGN AND PACKAGING AND COMPONENT FAILURE ANALYSIS (HDP'04), 2004, : 326 - 330
  • [32] Control of convergence in a computational fluid dynamic simulation using fuzzy logic
    Liu, XL
    Tao, WQ
    Zheng, P
    He, YL
    Wang, QW
    SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES, 2002, 45 (05): : 495 - 502
  • [33] Computational fluid dynamic (CFD) modelling of floating photovoltaic cooling system with loop thermosiphon
    Sutanto, Bayu
    Indartono, Yuli Setyo
    10TH INTERNATIONAL MEETING OF ADVANCES IN THERMOFLUIDS (IMAT 2018): SMART CITY: ADVANCES IN THERMOFLUID TECHNOLOGY IN TROPICAL URBAN DEVELOPMENT, 2019, 2062
  • [34] Computational Fluid Dynamic Analysis of Eccentric Atomization Spray Cooling Nozzle Designs for Micromachining
    Lunardelli, Andressa
    Wentz, John E.
    JOURNAL OF MICRO AND NANO-MANUFACTURING, 2014, 2 (02):
  • [35] Computational Fluid Dynamic Study on the Effect of Cooling Tower Plume in an Alley of a Mega City
    Chan, Man Him
    Liu, Chun-Ho
    Chan, Daniel W. T.
    6TH INTERNATIONAL SYMPOSIUM ON HEATING, VENTILATING AND AIR CONDITIONING, VOLS I-III, PROCEEDINGS, 2009, : 804 - 810
  • [36] Simulation on dynamic bending features of fabric based on fluid-solid interaction technique
    Liu, Yi-Jun
    Liang, Zhi-Yong
    Li, Yan-Fang
    Ji, Feng
    Qiu, Yi-Ping
    Liang, Z.-Y. (zhyliang@dhu.edu.cn), 2013, Editorial Board of Journal of Dong Hua University, 1882 West Yan-an Road, Shanghai, 200051, China (30) : 72 - 76
  • [37] Simulation on Dynamic Bending Features of Fabric Based on Fluid-Solid Interaction Technique
    刘一君
    梁志勇
    李艳芳
    纪峰
    邱夷平
    Journal of Donghua University(English Edition), 2013, 30 (01) : 72 - 76
  • [38] Patient-specific computational fluid dynamic simulation of cerebrospinal fluid flow in the intracranial space
    Fillingham, Patrick
    Levendovszky, Swati Rane
    Andre, Jalal
    Parsey, Carolyn
    Bindschadler, Michael
    Friedman, Seth
    Kurt, Mehmet
    Aliseda, Alberto
    Levitt, Michael R.
    BRAIN RESEARCH, 2022, 1790
  • [39] Computational simulation of mass transfer in membranes using hybrid machine learning models and computational fluid dynamics
    Liu, Yi
    Zhu, Yue
    Li, Dong
    Huang, Zhigang
    Bi, Chonghao
    CASE STUDIES IN THERMAL ENGINEERING, 2023, 47
  • [40] COMPUTATIONAL FLUID DYNAMIC CONTROL
    HARTLEY, TT
    DEABREUGARCIA, A
    PROCEEDINGS OF THE 1989 AMERICAN CONTROL CONFERENCE, VOLS 1-3, 1989, : 692 - 693