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Abstract: surface acoustic wave (SAW) sensors show great promise in monitoring fast-rotating or moving machinery in manufacturing environments, and have several advantages in the measurement of temperature, torque, pressure, and strain because of their passive and wireless capability. However, very few studies have systematically attempted to evaluate the characteristics of SAW sensors in a metal environment and rotating structures, both of which are common in machine tools. Simulation of the influence of the metal using CST software and a series of experiments with an SAW temperature sensor in real environments were designed to investigate the factors that affect transmission performance, including antenna angles, orientations, rotation speeds, and a metallic plate, along with the interrogator antenna–SAW sensor antenna separation distance. Our experimental measurements show that the sensor’s optimal placement in manufacturing environments should take into account all these factors in order to maintain system measurement and data transmission capability. As the first attempt to systematically investigate the transmission characteristics of the SAW sensor used in manufacturing environment, this study aims to guide users of SAW sensor applications and encourage more research in the field of wireless passive SAW sensors in monitoring applications.

The manuscript deals with an investigation of the transmission performances of SAW-based wireless sensing systems. The matter is of scientific inrerest, even though the authors analyze only a few mechanisms responsible of the degradation of the device response.

声表面波传感系统制造环境监测通信性能研究

[1]Binder, A., Fachberger, R., 2011. Wireless SAW temperature sensor system for high-speed high-voltage motors. IEEE Sensors Journal, 11(4):966-970.

[2]Binder, A., Fachberger, R., Kaldjob, E., et al., 2009. Packaging and antenna design for wireless SAW temperature sensors in metallic environments. Sensors IEEE, p.807-810.

[3]Boccard, J.M., Reindl, L., 2012. Ceramic and magnetic loop antennas for wireless interrogation of SAW resonators on rotating machinery. IEEE International Workshop on Antenna Technology, p.112-115.

[4]Boccard, J.M., Katus, P., Renevier, R., et al., 2013. Near-field interrogation of SAW resonators on rotating machinery. Journal of Sensors and Sensor Systems, 2(2):147-156.

[5]Borrero, G.A., Bravo, J.P., Mora, S.F., et al., 2013. Design and fabrication of SAW pressure, temperature and impedance sensors using novel multiphysics simulation models. Sensors and Actuators A: Physical, 203:204-214.

[6]Dixon, B., Kalinin, V., Beckley, J., et al., 2006. A second generation in-car tire pressure monitoring system based on wireless passive SAW sensors. International Frequency Control Symposium and Exposition, p.374-380.

[7]Fachberger, R., Erlacher, A., 2009. Monitoring of the temperature inside a lining of a metallurgical vessel using a SAW temperature sensor. Procedia Chemistry, 1(1):1239-1242.

[8]Haslett, C., 2008. Essentials of Radio Wave Propagation. Cambridge University Press, UK.

[9]Hirtenfelder, F., 2007. Effective antenna simulations using CST MICROWAVE STUDIO®. 2nd International ITG Conference on Antennas, p.239.

[10]Hu, J.X., Zhao, J., He, L.S., et al., 2014. Temperature monitoring system for switchgear based on surface acoustic wave. Piezoelectrics & Acoustooptics, 36(2):214-216.

[11]Hudak, N.S., Amatucci, G.G., 2008. Small-scale energy harvesting through thermoelectric, vibration, and radiofrequency power conversion. Journal of Applied Physics, 103(10):101301-101324.

[12]Kim, J., Luis, R., Smith, M.S., et al., 2015. Concrete temperature monitoring using passive wireless surface acoustic wave sensor system. Sensors and Actuators A: Physical, 224:131-139.

[13]Li, S., Yao, X., Fu, J., 2014. Power output characterization assessment of thermoelectric generation in machine spindles for wire-less sensor driving. Sensor Review, 34(2):192-200.

[14]Liu, B., Han, T., Zhang, C., 2015. Error correction method for passive and wireless resonant SAW temperature sensor. IEEE Sensors Journal, 15(6):3608-3614.

[15]Marian, V., Allard, B., Vollaire, C., et al., 2012. Strategy for microwave energy harvesting from ambient field or a feeding source. IEEE Transactions on Power Electronics, 27(11):4481-4491.

[16]Marinescu, I., Axinte, D.A., 2011. An automated monitoring solution for avoiding an increased number of surface anomalies during milling of aerospace alloys. International Journal of Machine Tools and Manufacture, 51(4):349-357.

[17]Sandacci, S., Gilkes, J.E., 2007. Rotary Signal Couplers. US Pantent 20070024387.

[18]Stoney, R., Donohoe, B., Geraghty, D., et al., 2012. The development of surface acoustic wave sensors (SAWs) for process monitoring. Procedia CIRP, 1:569-574.

[19]Stoney, R., Pullen, T., Aldwell, B., et al., 2014. Observations of surface acoustic wave strain and resistive strain measurements on broaching tools for process monitoring. Procedia CIRP, 14:66-71.

[20]Szarka, G.D., Stark, B.H., Burrow, S.G., 2012. Review of power conditioning for kinetic energy harvesting systems. IEEE Transactions on Power Electronics, 27(2):803-815.

[21]Tang, L., Wang, K.C., Huang, Y., 2009. Performance evaluation and reliable implementation of data transmission for wireless sensors on rotating mechanical structures. Structural Health Monitoring, 8(2):113-124.

[22]Tang, L., Liu, M., Wang, K.C., et al., 2012. Study of path loss and data transmission error of IEEE 802.15.4 compliant wireless sensors in small-scale manufacturing environments. The International Journal of Advanced Manufacturing Technology, 63(5):659-669.

[23]Wang, K.C., Jacob, J., Tang, L., et al., 2008. Transmission error avoidance for IEEE 802.15.4 wireless sensors on rotating structures. Proceedings of 17th International Conference on the Computer Communications and Networks.

[24]White, R., Voltmer, F., 1965. Direct piezoelectric coupling to surface elastic waves. Applied Physics Letters, 7(12):314-316.

[25]Xia, C.H., Fu, J.Z., Xu, Y.T., et al., 2014. A novel method for fast identification of a machine tool selected point temperature rise based on an adaptive unscented Kalman filter. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 15(10):761-773.

[26]Yao, X., Li, S., Fu, J., 2015. Heat exchanger design for a thermoelectric module to drive wireless sensors in spindle monitoring. Sensor Review, 35(1):51-61.

[27]Zhang, D., Fan, Y., Shimotori, T., et al., 2012. Performance evaluation of power management systems in microbial fuel cell-based energy harvesting applications for driving small electronic devices. Journal of Power Sources, 217: 65-71.

[28]Zhang, D., Ming, Z., Liu, G., et al., 2014. An empirical study of radio signal strength in sensor networks using MICA2 nodes. Journal of Shenzhen University Science and Engineering, 31(1):63-70.