Study of the Doubly Clamped Beam Yarn Tension Sensor Based on the Surface Acoustic Wave

Feng, Yang; Lu, Zixuan; Lu, Wenke; Chen, Zhu; Liu, Qinghong; Zhang, Haoxin

doi:10.1109/tie.2018.2850028

Cited by 18 publications

(25 citation statements)

References 14 publications

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“…As shown in Figure 2, the electrode-overlap envelope of the input IDT is weighted. 12,14,16 Dummy electrodes are used. The output IDT is the uniform transducer.…”

Section: Designmentioning

confidence: 99%

“…In Figure 4, it is clear that the blue curve fits data points better than the red curve. Therefore equation (12) should be selected to reflect their functional relationship. Moreover, equation 12is a quadratic function, which implies that the function relationship between them is nonlinear.…”

Section: Effect Of Idt Position Parameters On Sensor Sensitivitymentioning

confidence: 99%

“…Yarn tension is often the key factor in the process of yarn production. [12][13][14][15] If too much force is supplied, the yarn will be snapped. If there is not enough force, the yarn will become loose and curled.…”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3][4] Because SAW sensors are particularly sensitive to the environmental changes on the substrate surface, they are widely used in the detection of physical, 5 chemical, 6 and biological 7 data. With the continuous increase in SAW sensor applications, the study of the aspects of theoretical enrichment, 8,9 working mechanism innovation, 10 simulation model improvement, 11 and working performance development 12 for SAW sensors has become a hot research topic.…”

Section: Introductionmentioning

confidence: 99%

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Effect of IDT position parameters on SAW yarn tension sensor sensitivity

Lei

Mian

et al. 2020

Measurement and Control

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In this paper, the effect of the interdigital transducer (IDT) position parameters on the surface acoustic wave (SAW) yarn tension sensor sensitivity is investigated. The stress–strain characteristic of substrate was studied by the combination of finite element simulation and regression analysis method. According to this characteristic, the function relationship between the SAW yarn tension sensor sensitivity and the IDT position parameters was built using the regression analysis method. The monotonicity of the regression function was also given. On this basis, a novel sensitivity optimal scheme was proposed and solved by the quadratic programming method. Its solution demonstrates that the optimum sensitivity can be obtained when the IDT is 8.9 mm to the left side of the substrate and the IDT is 0.3 mm to the top edge of the substrate within a domain of the IDT position parameters. The SAW yarn tension sensor with corresponding IDT position parameters was fabricated to validate the correctness of the sensitivity optimal scheme. The measured results indicate that the SAW yarn tension sensor sensitivity can reach 813.69 Hz/g, which confirms that the novel scheme is effective.

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“…As shown in Figure 2, the electrode-overlap envelope of the input IDT is weighted. 12,14,16 Dummy electrodes are used. The output IDT is the uniform transducer.…”

Section: Designmentioning

confidence: 99%

Section: Effect Of Idt Position Parameters On Sensor Sensitivitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effect of IDT position parameters on SAW yarn tension sensor sensitivity

Lei

Mian

et al. 2020

Measurement and Control

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“…7 The non-contact PFY tension detection technology is still in the research and development stage, but it has great application potential. 8 , 9 Hossain et al. 10 proposed a new non-contact method to detect the yarn tension in the balloon region.…”

mentioning

confidence: 99%

Non-contact detection of polyester filament yarn tension in the spinning process by the laser Doppler vibrometer method

Zhang

Tan

et al. 2021

Textile Research Journal

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The precise detection of polyester filament yarn (PFY) tension in the spinning process is critical to ensure product quality. The laser Doppler vibrometer (LDV) method is proposed to achieve non-contact detection of PFY tension in this paper. By employing the Hamilton principle, the transverse dynamics differential equations of PFY are derived, which are discretized and solved by the Galerkin method and Runge–Kutta method, respectively. In the equations, the PFY between two adjacent rollers is simplified as an axially moving string to verify the generality of calculating natural frequencies. The calculated natural frequencies from the axially moving string model are compared with solved results from the transverse dynamics differential equations. It is shown that the approximation of natural frequencies can be obtained from the axially moving string model. This study attempts to establish an approximate generic model among the PFY tension, the spinning speed and the first natural frequency based on axially moving string model, from which the PFY tension can be calculated efficiently by employing the measured natural frequencies. The LDV method is used to measure the natural frequencies. A major advantage of the proposed method is to realize non-contact detection of PFY tension. The method is more useful under high-speed spinning conditions where contact tension detectors are not available. An experimental analysis is carried out to verify the effectiveness and accuracy of the proposed method. Therefore, it is believed that the non-contact detection of PFY tension in the spinning process by the LDV method is feasible.

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