scholarly journals Nanoscale Lamb wave–driven motors in nonliquid environments

2019 ◽  
Vol 5 (3) ◽  
pp. eaau8271 ◽  
Author(s):  
Jinsheng Lu ◽  
Qiang Li ◽  
Cheng-Wei Qiu ◽  
Yu Hong ◽  
Pintu Ghosh ◽  
...  

Achieving light-driven motions in nonliquid environments presents formidable challenges, because microsized objects experience strong dry adhesion and intend to be stuck to contact surfaces with great tenacity. Here, in air and vacuum, we show rotary locomotion of a micrometer-sized metal plate with ~30 nm thickness, revolving around a microfiber. This motor is powered by pulsed light guided into the fiber as a coordinated consequence of an optically excited Lamb wave on the plate and favorable configuration of plate-fiber geometry. The motor, actuated by designed light pulses, crawls stepwise with subnanometer locomotion resolution. Furthermore, we can control the rotation velocity and step resolution by varying the repetition rate and pulse power, respectively. A light-actuated micromirror scanning with 0.001° resolution is then demonstrated on the basis of this motor. It offers unprecedented application potential for integrated micro-opto-electromechanical systems, outer-space all-optical precision mechanics and controls, and laser scanning for miniature lidar systems.

2021 ◽  
Author(s):  
Peter Lukacs ◽  
Theodosia Stratoudaki ◽  
Geo Davis ◽  
Anthony Gachagan

Abstract This study introduces a novel data acquisition method, the Selective Matrix Capture (SMC), that can adapt the array geometry during data acquisition, to the demands of the inspected structure, such as the defects encountered. The adaptive data acquisition method is enabled by the use of Laser Induced Phased Arrays (LIPAs). We have previously demonstrated high-resolution ultrasonic images of the interior of components using Full Matrix Capture (FMC) and the Total Focusing Method (TFM). However, capturing the FMC requires long synthesis time due to signal averaging and mechanical laser scanning, compromising the application potential of LIPAs. Given that most components are defect free, significant time savings can be obtained by only acquiring high-fidelity data when a defect is indicated. The paper presents the Selective Matrix Capture that acquires data more efficiently without a priori knowledge of the location of the defects, while still achieving the superior imaging quality provided by an FMC data set.


2003 ◽  
Vol 20 (9) ◽  
pp. 1880 ◽  
Author(s):  
Kuanshou Zhang ◽  
Laurent Longchambon ◽  
Thomas Coudreau ◽  
Claude Fabre
Keyword(s):  

2008 ◽  
Vol 78 (3) ◽  
Author(s):  
Wei-Hsun Lin ◽  
Wen-Te Liao ◽  
Chang-Yi Wang ◽  
Yen-Feng Lee ◽  
Ite A. Yu

2003 ◽  
Vol 217 (1-6) ◽  
pp. 343-349 ◽  
Author(s):  
Naum K. Berger ◽  
Boris Vodonos ◽  
Shimie Atkins ◽  
Vladimir Smulakovsky ◽  
Alexander Bekker ◽  
...  

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