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This overview covers the development of glaciophones and acoustic transmitters for ice research. Topics include motivation, thermoacoustic models, target material properties, sensor design, calibration methods, piezoelectric ceramics, transmitter design, high-voltage signal generators, sensitivity requirements, and environmental considerations for deployment in cold conditions. It delves into sensor and transmitter design complexities, the calibration process for piezoceramics and sensors, lab measurements, transmitter sensitivity methods, gated burst techniques, and data analysis for ice studies. The challenges, methods, and results of utilizing glaciophones and acoustic transmitters in ice research are extensively discussed.
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Development of glaciophones and acoustic transmitters for ice 1st International ARENA Workshop Zeuthen May 2005
Overview • Motivation • Thermoacoustic model • Target material properties • Sensors • Principle and design • Calibration • Piezoceramics • Sensors • Transmitters • Transmitter design • HV signal generators
Requirements: sensitive to mPa pressures all-φ sensitivity / radial symmetry (directional information) Environmental: deployment inhot-water drilled holes Water tight temperature: -30℃ to -55℃ Refreezing: pressures up to 200 bar Electrical: very small signals high gain shielded against EM noise Piezoelectric ceramics: well understood cheap Housings: thick walls or solid (cast out) Amplifiers: custom build Sensor design Simplicity vs. Suitability
Piezoelectric ceramics • material: • lead zirkonium titanate (PXE5 = PZT) • pervoskit structure • polycrystalline • poling: • heat above Tcurie ≈ 300 ˚C • cool in strong E-Field (E ≈ 2 MV/m) reorientation of polarization domains • sensitivity: d33≈ 500pC/N • typical signal: • 0.1 mV @ 1 mPa T > Tcurie T < Tcurie • shapes: • tubes • plates • cylinders • resonances: • mode • frequency
housing amplifier piezoceramics (brass) head Sensor design: schematic • signal: U ∝Δl ∝ ma mass/spring load • amplifier: • three stages ( +80 dB ) • low noise ( ≈ 8mV ) • housing: • high pressure thickness • impedance matching resonances
Medium: ice water Linearity: all sensors nicely linear absolute values calibration Self noise: power supply temperature Temperature: increasing with lower temp not understood Pressure: no results (yet) Frequency response: need larger volume than in lab calibration Excitation: piezoceramics laser proton beam Lab measurements
Calibration of piezoceramics • stability: • stable with temperature, time, … • manufacturing variations • problem: • input impedance of voltmeter tdecharge= R•C ≈ 3 ms • charge integration
Calibration of sensors • Problem • interesting frequency ≈ 20 kHz λwater = 7.5 cm λice = 20 cm • “Ringing” signal reflections distort signal need container with xcont» λ • Setup at HSVA • water tank 12m × 3m × 70m • deep section 12m × 5m × 10m • Sensors • Reference Hydrophone Sensortech SA03 163.3±0.3 dB re 1 V/µPa ( 5 to 65 kHz) • Glass Ball, Iron Ball • Transmitter • piezoceramic in epoxy arbitrary signal generator
Sensitivity: Method • Method • transmit same signal to reference sensor to calibrate • compare response relative calibration • Transmitted signals • gated burst precisely measuresingle frequency limited by • system relaxation time • reflections • pulse in one shot measurefull spectrum limited by • noise level
Sensitivity: Gated burst • Time window • start: after initial excitation • stop: before 1st reflection • Fit • A(t) = A0sin(2πf·t + φ) + bt +c • free phase and amplitude • fixed frequency • linear offset term • very good χ2 • But: low-f and DC background • large error for small signals • probably overerstimated
Sensitivity: pulse method • Transmitted signal • P ∞∂2Uin/ ∂t2 “soft” step function • Received signal • Fourier transform compare spectral components • Errors and noise • A(t) = Σf s(f)ei (2πft + φs) + n(f)ei (2πft + φn) • coherent signal: φs(f)= const • random noise: φs(f)= random • Noise spectrum from • average fourier transform • fourier transform average • define signal dominated freq. ranges
Comparison of methods • very good agreement • strongly structured many different resonance modes • only valid for water • Results • high sensitivity and S/N • Glass ball: factor ≈ 20 • Iron ball: factor ≈ 50
Equivalent noise level • Method • fourier transform scaling, frequency range inverse transform • Problem • noise recording from water tank • lab self noise higher due to EM coupling
How to do it for ice ? • Theoretical • use formula for transmission • Problem • temperature dependance resonance modes amplifier gain× bandwidth • solid state vs. liquid • Practical • use large ice volume (glacier, pole) • use small ice block with changing boundary conditions(e.g. air, water) determine reflections from comparison
Transmitters • Large absorption length Need high power transmitter • Piezoceramics • can be driven with kV signals • easy to handle • cheap • well understood • Ring-shaped piezoceramic • azimuthal symmetry • larger signals than cylinders • more expensive
Ring vs. cylinder • Linearity • tested from 100 mV to 300 Vperfect linearity • Frequency response • three resonance modes width, thickness and diameter wide resonance at lower frequencies • Testing • frequency sweep dominated by reflections resonance modes of container • white noise signal reflections not in phase resonance modes of transmitter
HV signal generation • Problem • build a HV generator forarbitrary signals • Imax = 2πf Ctot Umax • Cring = 16 nF • f = 100 kHz • Umax = 1kV • k33 = 0.34 • Imax = 16 A, P ≈ 5.4 kW too large • Solution • large capacity at low duty cycles100 cycle burst 1ms 16 W • large inductivity discharge via capacitance shortcut after N cycles
Summary • Developed sensors are cheap and sensitive • Developed transmitters are powerful Problem: HV signal generation • Properties of both need to be better understood Testing in ice limited by limited volume and freezing time • With only two years R&D,glaciophones are already quite successful