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David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Piezoelectric MicromachinedUltrasonic Transducers in Consumer
Electronics Professor David Horsley
University of California, Davis University of California, Berkeley
Chirp Microsystems Inc.
MEMS Engineer Forum 2017Tokyo Japan, April 2017
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Outline
• History and motivation
• Air-coupled ultrasonic transducers
• Ultrasonic fingerprint sensors
2
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
30+ Years of MUTs
3
PMUTRoyer et al (Honeywell)SNA 1983
CMUTHaller & Khuri-Yakub(Stanford)IUS 1994
“MUTs enjoy the inherent advantages of microfabrication, which include low cost, array fabrication, and the possibility to integrate electronics either on chip or as a multi-chip module.”
“The sensitivity and SNR of the ZnO acoustic sensor … do not compare well with … commonly used electret microphones”
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Integration demonstrated 20 years ago(!)
4
Surface micromachinedultrasound transducers in CMOS technologyEccardt, Niederer, Scheiter, Hierold (Siemens)IUS 1996
“new microfabrication technologies have emerged, allowing a highly reproducible fabrication of electrostatically driven membranes.”
30x30 CMUT Array
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
What’s New Today?Technology• Piezoelectric materials greatly improved• Well-developed manufacturing infrastructure
– MEMS foundries, packaging & test suppliers
Market• Strong market pull for new sensors
– IoT, drones, autonomous vehicles, AR/VR, new interface technology
• Every flagship phone needs a fingerprint sensor
5
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Commercial Piezoelectric MEMS
6
Autofocus Lens
Piezoelectric Microphone
FBAR
Now: Announced:
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Outline
• History and motivation
• Air-coupled ultrasonic transducers
• Ultrasonic fingerprint sensors
7
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
[D.R. Griffin, J. Animal Behaviour, 1960]
Uses ultrasound to navigate
Identifies insects from wing velocity
Targets mosquitoes from 80 cm away
Observations from Nature
8
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
• Advantages:– High output pressure– Directional, if desired
• Disadvantages:– Inefficient coupling to air– Matching layers required– Too big for consumer electronics– Dumb sensor. Lots of external electronics required.
Existing Ultrasonic Transducers
10 mm
senscomp.com5.2 mm
muratamericas.com
maxbotix.com
20 mm
9
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Micromachined Ultrasonic Transducers
10
• Extremely low power (15 µW) • Long range > 1 m • Small size
– 1000x smaller volume than conventional U/S transducer
• Digital interface– All signal processing performed
on-chip– Autonomous operation for
always-on sensing (host CPU can be in sleep mode)
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
• Suspended plate structure• Increased coupling due to low acoustic impedance• Array fabrication possible• Micro-patterning allows mechanics to be modified
Features of MUTs
11
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Actuating Air-Coupled MUTsWant:• Large output pressure despite air’s low acoustic
impedance→ Large transducer displacement→ Piezoelectric Actuation
Wygant et al., IEEE TUFFC 2009
Capacitive (CMUT)
S. Shelton et al., IEEE IUS, 2009
R. Przybyla et al., IEEE Sensors J., 2011
Piezoelectric (PMUT)
MoAlNAlN
Al
vs.
12
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
fo ≈ 200 kHz
BW ≈ 10 kHz
–
Aluminum Nitride (AlN) PMUT Cross Section
Si
Al
500μm
+
AlN
AlNMo
AlNAl
1μm
13
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
MUT Animation
14
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
15
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Outline
• History and motivation
• Air-coupled ultrasonic transducers
• Ultrasonic fingerprint sensors
16
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Ultrasound vs. Optical Fingerprint Sensor
J. K. Schneider, “Ultrasonic fingerprint sensors,” in Advances in Biometrics. 2008 17
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
State of the art: Commercial Ultrasonic Fingerprint Sensor
Reference: Ultra-scan®, U.S. patent 5224174
lens
transducer
Mechanical scanning
Pros:Dermal detection
Cons: Large system mechanical scanning
18
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Bulk Piezo Fingerprint Sensors
Sonavation Inc.
Drawbacks:
• Interconnect is challenging
• Readout based on resonator Q (no advantage over capacitance)
• High manufacturing cost.
19
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Qualcomm’s Ultrasonic Fingerprint Sensor
• TFT-based manufacturing
• 500 dpi• Scalable to virtually any
size • Single-finger, four-
finger, and full hand sensor.
20J. K. Schneider, “Biometrics Within the Wireless and Mobile Computing Industry,” 2013
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Ultrasonic
transducers
Operating Principle
Air (Valley)ridge
21
Tissue
Skin
PDMS
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Operating Principle
22
Tissue
Skin
PDMS
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Operating Principle
Huge Impedance Mismatch
23
Tissue
Skin
PDMS
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Operating Principle
Impedance Match
24
Tissue
Skin
PDMS
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Operating Principle
Impedance Mismatch
25
Tissue
Skin
PDMS
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Operating Principle
26
Tissue
Skin
PDMS
tValley
tRidge
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Fingerprint
Left/Right/Double Loop
Level 1 Features: Pattern
Level 3 Features
PoresJain, et al. IEEE, (2007)
Level 2 Features: Minutia Points
Ending
500+ dpi
FBI Standard 500 dpi
Epidermis
Dermis
~200 μm
Sensor Resolution
Requirement
- Biometric Identity
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
MEMS
Sensor Array
Parameters ValuePixel size 43×58μm2
Resolution 582×431 dpiFill-factor 51.7%
6160 pixels
28H. Tang et al, “11.2 3D Ultrasonic Fingerprint Sensor on a Chip,” 2016 ISSCC, pp. 202-203
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
CMOS
Wafer-BondingMEMS
29
Anchor
CMOS
MEMS
Eutectic Bonding
PMUT area
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Sensor Die
30
Before Assembly Assembled
X. Jiang et al, “Monolithic 591x438 DPI ultrasonic fingerprint sensor” IEEE MEMS 2016, pp. 107-110.
J.M. Tsai, et al, “Versatile CMOS-MEMS integrated piezoelectric platform”, Transducers 2015, pp. 2248-2251
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
5 × 5 PMUT array
PMUT motion at 28 MHz captured via LDV
31
Y. Lu, et al, “Ultrasonic fingerprint sensor using a piezoelectric micromachined ultrasonic transducer array integrated with complementary metal oxide semiconductor electronics,” Appl. Phys. Lett. , vol. 106, p. 263503, 2015
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Measurement Cycle56 pixels measure
simultaneously
33
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
DemodulatorDemodulator
S&HVpixel
Envelope
VenveVsig
Vpixel
timg
t
Vsig
V Venve
himg
timg
Finger
PDMSSensor
34
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Epidermis Dermis
35
timg
Pulse Echo Fingerprint Imaging
Epidermis
Dermis
4.6 mm
3.2 mm
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Multi-Layer Phantom
Valley Ridge
36
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Multi-Layer Phantom
Valley RidgeNormal Operation
✔ E/ Image: 280μJ✔ 2.8mW @ 10fps✔ Throughput: 380fps
Wakeup Mode✔ E/ Image: 25μJ✔ 5μW @ 2fps 37
timgdimg
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Summary & Conclusions
After 30+ years, PMUTs are a disruptive technology for consumer electronics• PMUTs and other piezo-MEMS are poised for a
big impact thanks to maturity of thin-film piezoelectric materials.
• In air: Tiny 0.5 mm PMUTs have over 1 m range.• In tissue: pulse-echo fingerprint imaging
demonstrated w/ 1.8V supply.
38
David Horsley, UC Davis April 2017 Berkeley Sensor & Actuator Center
Acknowledgments
• Horsley group (BSAC - UC Davis)– Stefon Shelton, Yipeng Lu, Ofer Rozen, Andre Guedes,
Stephanie Fung, Qi Wang, Xiaoyue Joy Jiang• Prof. Bernhard Boser’s group (BSAC - UC Berkeley)
– Richard Przybyla, Hao-Yen Tang, Igor Izyumen
39
Piezoelectric Micromachined Ultrasonic Transducers in Consumer Electronics Outline30+ Years of MUTsIntegration demonstrated 20 years ago(!)What’s New Today?Commercial Piezoelectric MEMSOutlineObservations from NatureExisting Ultrasonic TransducersMicromachined Ultrasonic TransducersFeatures of MUTsActuating Air-Coupled MUTsAluminum Nitride (AlN) PMUT Cross SectionMUT AnimationSlide Number 15OutlineUltrasound vs. Optical Fingerprint SensorState of the art: Commercial Ultrasonic Fingerprint SensorBulk Piezo Fingerprint SensorsQualcomm’s Ultrasonic Fingerprint SensorOperating PrincipleOperating PrincipleOperating PrincipleOperating PrincipleOperating PrincipleOperating PrincipleSlide Number 27Sensor ArrayWafer-BondingSensor DieSlide Number 31Slide Number 33DemodulatorSlide Number 35Slide Number 36Slide Number 37Summary & ConclusionsAcknowledgmentsQuestions?Measurement Result: Fraud Detection Finger with contamination