Research on sliver detection based on microwave resonant cavity perturbation principle

Abstract

Improving sliver quality is fundamental to the high-quality development of the spinning industry. The effectiveness of sliver quality detection technology directly affects sliver quality control. To improve the efficiency and enhance the automation of sliver quality detection, this study investigates sliver detection based on the principle of microwave resonant cavity perturbation. First, a comprehensive analysis of the working principle of microwave detection is conducted. Then, a model illustrating the relationship between the dielectric constant of the mixture in the resonant cavity and microwave frequency is established using the principle of microwave resonant cavity perturbation. Based on the dielectric properties of the mixture, a model depicting the relationship between sliver density and microwave frequency is derived. A sliver detection model is then developed considering the relationship between sliver density and quality and using the formula for calculating sliver weight unevenness. To verify the feasibility of the microwave detection theory, cotton fiber ripe strips are considered as an example. The appropriate working mode of the resonant cavity is determined, a microwave sensor is designed, and a sliver detection experimental platform is built to complete quality inspection of the slivers. Finally, to further verify the accuracy of the microwave detection method, the results are compared with those of a sliver detection instrument. An error of approximately 3% is obtained, and the reasons for this error are analyzed. This study can provide new research ideas and offer technical support for the quality inspection of slivers in the spinning industry.

Keywords:

• Microwave resonant cavity
• perturbation theory
• sliver quality
• detection

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: 2021 Industrial Technology Basic Public Service Platform Project of the Ministry of Industry and Information Technology of the People’s Republic of China - Building a Public Service Platform for Testing and Verification of Intelligent Manufacturing Standards "Building a Public Service Platform for Testing and Verification of Intelligent Manufacturing Standards Around the Textile Industry" (2021-0173-2-1).