Wireless passive SAW sensor systems for industrial and domestic applications

Scholl, Gerd; Schmidt, F.; Ostertag, Thomas; Reindl, L.; Scherr, H.; Wolff, U.

doi:10.1109/freq.1998.717961

Cited by 73 publications

(26 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The basic principle utilized in such a technique combines advantages of the precise piezoelectric sensors [2]- [4], high SAW sensitivity to the environment, passive (without a power supply) operation, and wireless communication between the sensor element and the interrogator. Several passive wireless SAW devices were recently manufactured to measure temperature [1], identify the railway vehicle at high speed [5], and pressure and torque [6].…”

Section: Introductionmentioning

confidence: 99%

Limiting Phase Errors of Passive Wireless SAW Sensing With Differential Measurement

Shmaliy

2004

IEEE Sensors J.

View full text Add to dashboard Cite

This paper addresses a statistical analysis of the limiting estimate errors of the time delay (phase difference) between two reflectors of the passive wireless surface acoustic wave (SAW) sensor with single differential measurement. The estimation is provided in a sense of the maximum likelihood function at the ideal coherent receiver in the presence of Gaussian noise. Assuming the Gauss-shape interrogating radio frequency pulse, we prove that linear drifts in its amplitude and phase do not affect the distribution of the sensor phase (and phase difference) at the measurement point. Rigorous and approximate solutions for the mean and mean-square errors, along with the error probability for the estimate to exceed a threshold, are studied in detail. The plots are applied to evaluate the errors in a wide range of signal-to-noise ratios and thresholds. Practical recommendations for designers of the remote SAW sensor interrogating systems are also given.Index Terms-Error probability, passive wireless surface acoustic wave (SAW) sensing, phase errors.

show abstract

Section: Introductionmentioning

confidence: 99%

Limiting Phase Errors of Passive Wireless SAW Sensing With Differential Measurement

Shmaliy

2004

IEEE Sensors J.

View full text Add to dashboard Cite

show abstract

“…Therefore it does not describe the wave behavior of electromagnetic fields. Electromagnetic waves generated by mechanical fields need to be studied in the calculation of radiated electromagnetic power from a vibrating piezoelectric device (Mindlin, 1972;Lee, 1989;Lee et al, 1990), and are also relevant in electromechanical devices in which acoustic waves produce electromagnetic waves or vise versa (Oliner, 1978;Scholl et al, 1998). When electromagnetic waves need to be considered, the complete set of Maxwell's equations should be used, coupled to the mechanical equations of motion.…”

Section: Introductionmentioning

confidence: 99%

Piezoelectromagnetic waves in a ceramic plate between two ceramic half-spaces

Jiang

et al. 2006

International Journal of Solids and Structures

View full text Add to dashboard Cite

We analyze the propagation of piezoelectromagnetic waves guided by a plate of polarized ceramics between two ceramic half-spaces. An exact dispersion relation is obtained, which reduces to a few known elastic, electromagnetic, and quasistatic piezoelectric wave solutions in the literature as special cases. Numerical solutions to the equation that determines the dispersion relation show the existence of guided waves. The results are useful for acoustic wave and microwave devices.

show abstract

“…1, fabricated like comb-shapes on the top surface of piezoelectric substrate materials like quartz and lithium-niobate. The function of an IDT is to convert electrical energy into mechanical energy, and vice versa, for generating and detecting the SAW [17][18][19]. When the IDTs are directly connected to an antenna, the SAW can be excited remotely by electromagnetic waves.…”

Section: B Surface Acoustic Wave (Saw) Sensors For Smart Toolingmentioning

confidence: 99%

Design of an instrumented smart cutting tool and its implementation and application perspectives

Wang

Cheng

Chen

et al. 2014

Smart Mater. Struct.

View full text Add to dashboard Cite

This paper presents an innovative design of a smart cutting tool, using two surface acoustic wave (SAW) strain sensors mounted onto the top and side surface of the tool shank respectively, and its implementation and application perspectives. This surface acoustic wave -based smart cutting tool is capable of measuring the cutting force and the feed force in a real machining environment, after a calibration process under known cutting conditions. A hybrid dissimilar workpiece is then machined using the SAW -based smart cutting tool. The hybrid dissimilar material is made of two different materials, NiCu alloy (Monel) and steel, welded together to form a single bar; this can be used to simulate an abrupt change in material properties. The property transition zone is successfully detected by the tool; the sensor feedback can then be used to initiate a change in the machining parameters to compensate for the altered material properties.

show abstract

Wireless passive SAW sensor systems for industrial and domestic applications

Cited by 73 publications

References 4 publications

Limiting Phase Errors of Passive Wireless SAW Sensing With Differential Measurement

Limiting Phase Errors of Passive Wireless SAW Sensing With Differential Measurement

Piezoelectromagnetic waves in a ceramic plate between two ceramic half-spaces

Design of an instrumented smart cutting tool and its implementation and application perspectives

Contact Info

Product

Resources

About