title: Improved reflectivity and velocity model for aluminum gratings on YZ LiNbO3.
abstract: Lithium niobate has recently been used for SAW tags and temperature sensors because of its high coupling coefficient and high reflectivity. To increase the device operating frequency for a given electrode line resolution, harmonic operation of the reflector is a very attractive option. When used in conjunction with harmonically operated transducers, the device operating frequency can be increased for a given photolithographic line width resolution. To design and accurately predict the behavior of these devices, it is necessary to model the electrode reflectivity and velocity for both fundamental and second-harmonic operation. The coupling of modes (COM) model has been used to model these devices, however the COM model uses empirically determined coefficients to model reflectivity. In this paper, the reflectivity and velocity of aluminum electrodes is extracted experimentally for fundamental and second-harmonic operation versus metalization ratios ranging from 0.2 to 0.9 and versus normalized metal thickness ranging from 0.4% to 4%. A least-squares fit is then performed on the data using physical terms in the transmission line model to yield equations that can be used in the COM model to predict device behavior over varying metallization ratios and normalized metal thicknesses. Orthogonal frequency-coded (OFC) SAW tags were designed and fabricated and experimentally obtained data are compared with the COM modeled responses for the tags at fundamental and second-harmonic operation to verify the predictions.
authors.affiliation: School of Electrical Engineering and Computer Science University of Central Florida, Orlando, Florida, USA. nsaldanha@knights.ucf.edu
authors.forename: Nancy
authors.initials: N
authors.lastname: Saldanha
authors.forename: Donald C
authors.initials: DC
authors.lastname: Malocha
mesh_terms: D000162:Acoustics / Q000295:instrumentation; D000465:Algorithms; D000535:Aluminum / Q000737:chemistry*; D003198:Computer Simulation; D017076:Computer-Aided Design / Q000295:instrumentation*; D004566:Electrodes; D019544:Equipment Failure Analysis; D008422:Materials Testing; D008962:Models, Theoretical; D009556:Niobium / Q000737:chemistry*; D010087:Oxides / Q000737:chemistry*; D014159:Transducers
chemical_list: D010087:Oxides; D009556:Niobium; C091692:lithium niobate; D000535:Aluminum