Development of a Device for Continuously Monitoring the Parameters of the Winding Structure of Textile Bobbins

Mahammadali Nuriyev

Azerbaijan State Economic University

Fazil Ali Veliyev

Azerbaijan State Economic University

Hamid İnsaf Hamidov

Azerbaijan State Economic University

Rahib Aqagul Sailov

Azerbaijan State Economic University

Ilham Mahamad Seydaliyev

Azerbaijan State Economic University

Ganira Zargar Jabbarova

Azerbaijan State Economic University

Introduction: The research “Improving the control methods for winding structure at friction drive machines” was conducted at Azerbaijan State Economic University in 2017. 

Methods: To assess the efficiency of the proposed technique for processing signals, a model of a WA device, which allowsthe unwinding of the package, was designed and manufactured. 

Results: The authors developed a methodology and a corresponding device to quantitatively assess the parameters of the winding structure by the light-section method. 

Conclusions: The dimensions adopted while designing the device make it possible to exclude the influence of the non-roundness of the bobbin on the measurement results. 

Originality:  The equipment advancement and quality control improvement are the most urgent issues in textile industry. The quality requirements for package is constantly growing, while this research contribute to maintain it at a corresponding level, which ensures further development of textile industry as a whole. 

Limitations: The research results can be practically implemented in new winding motion design for spinning frames with cross-winding bobbin.

Keywords: Bundle structure, cross winding, packgage, textile bobbin, threader, winding mechanism
Published
2018-01-01
Downloads

How to Cite

[1]
M. Nuriyev, F. Ali Veliyev, . H. İnsaf Hamidov, R. Aqagul Sailov, I. Mahamad Seydaliyev, and G. Zargar Jabbarova, “Development of a Device for Continuously Monitoring the Parameters of the Winding Structure of Textile Bobbins”, ing. Solidar, vol. 14, no. 24, pp. 1–10, Jan. 2018, doi: 10.16925/.v14i24.2183.
Metrics
File downloads
285