基于弹性梁理论的声表面波纱线张力传感器灵敏度优化。
Sensitivity Optimization of Surface Acoustic Wave Yarn Tension Sensor Based on Elastic Beam Theory.
机构信息
School of Information Science and Technology, Donghua University, Shanghai 201620, China.
School of Network and Communication Engineering, Jinling Institute of Technology, Nanjing 211169, China.
出版信息
Sensors (Basel). 2022 Dec 1;22(23):9368. doi: 10.3390/s22239368.
The measurement of yarn tension has a direct impact on the product quality and production efficiency in the textile manufacturing process, and the surface acoustic wave (SAW) yarn tension sensor is a good option for detecting the yarn tension. For SAW yarn tension sensors, sensitivity is an important indicator to assess their performance. In this paper, a new type of SAW yarn tension sensor based on a simply supported beam structure is studied to improve the sensitivity of the fixed beam SAW yarn tension sensor. The sensitivity analysis method based on elastic beam theory is proposed to illustrate the sensitivity optimization. According to the analysis results, the sensitivity of the SAW yarn tension sensor can be greatly improved by using a simply supported beam structure compared to the s fixed beam structure. Moreover, from the calibration experiment, the sensitivity of the simply supported beam SAW yarn tension sensor is 2.5 times higher than that of the fixed beam sensor.
纱线张力的测量对纺织制造过程中的产品质量和生产效率有着直接的影响，而声表面波（SAW）纱线张力传感器则是检测纱线张力的一种较好选择。对于 SAW 纱线张力传感器，灵敏度是评估其性能的一个重要指标。本文研究了一种基于简支梁结构的新型 SAW 纱线张力传感器，以提高固定梁 SAW 纱线张力传感器的灵敏度。提出了基于弹性梁理论的灵敏度分析方法来对灵敏度进行优化。根据分析结果，与固定梁结构相比，使用简支梁结构可以大大提高 SAW 纱线张力传感器的灵敏度。此外，从校准实验来看，简支梁 SAW 纱线张力传感器的灵敏度比固定梁传感器高 2.5 倍。
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