Tilt-angle measurement of a sample stage using a capacitive liquid-based inclinometer

Author(s):  
K. Matoba ◽  
J. Takagi ◽  
T. Yasunaga ◽  
H. Jinnai ◽  
K. Iwasaki
Keyword(s):  
2000 ◽  
Vol 244 (1) ◽  
pp. 331-338 ◽  
Author(s):  
C. Noot ◽  
S. P. Perkins ◽  
H. J. Coles

2014 ◽  
Vol 939 ◽  
pp. 445-450
Author(s):  
Shu Ping Dong ◽  
Hau Wei Wang ◽  
Tung Ying Wu ◽  
Ching Ming Yeh

We consider the parts screwing problems, which of automatic assembly robotic screwdrivers system required precisely depth and tilt-angle at each insertion point. However, commonly computer vision inspection tools which obtain tilt-angle on clamping printed circuit board is a challenging problem. Further, even if given a depth senor, that still to consider inspection target size. Thus, we present an approach for screwing angle measurement of printed circuit board assembly in Consumer electronics production lines. The methods involved using 2D-Depth sensor to identify screwing angle, and measuring depth information near the hole of printed circuit board. Our method successfully conform to screwdrivers system requirement, tilt angle under three degree and sampling small area target under 10mm^2,which obtains measurement results will be applied to refer on robotic positioning and assembling.


1992 ◽  
Vol 17 (14) ◽  
pp. 1024 ◽  
Author(s):  
Huihua Kenny Chiang ◽  
Richard P. Kenan ◽  
Nile F. Hartman ◽  
Christopher J. Summers

2014 ◽  
Author(s):  
Martin Šarbort ◽  
Šimon Rerucha ◽  
Petr Jedlicka ◽  
Josef Lazar ◽  
Ondrej Cíp

2005 ◽  
Vol 44 (28) ◽  
pp. 5905 ◽  
Author(s):  
Shashi Prakash ◽  
Sumitra Singh ◽  
Santosh Rana
Keyword(s):  

Author(s):  
Andrea De Martin ◽  
Andrea Dellacasa ◽  
Giovanni Jacazio ◽  
Massimo Sorli

Tilting trains are designed to reach high speed on pre-existing railroads without the need of adjusting the tracks geometry or building dedicated lines; the tilting of the carbody keeps an acceptable level of comfort by limiting the lateral acceleration felt by passengers when the train runs along curved tracks with speed higher than the balance speed built into the curve geometry. As such, they are often used to reduce travel times on routes with several curves. Tilting is performed through a position-controlled actuation system which operates according to the commands received from the train control system: in the studied configuration, the torque needed to tilt the car body with respect to the bogie is provided by a series of hydraulic actuators, while the position information used to close the control loop comes from two capacitive sensors located in the front and rear part of each vehicle. Tilt angle measurement is vital for the system operation and for ensuring a safe ride; the traditional solution in case of discrepancy between the signals of the two tilt angle sensors of any vehicle is to disable the tilting function while limiting the train speed to avoid issues during changes of direction. In a similar fashion, the failure in one (or more) of the tilting actuators would result in the loss of the tilting capability and the return to a fixed configuration operating at reduced speed. It should be noticed that the negative impact of the loss of the tilting system is not limited to the faulty train, since it might affect the entire traffic schedule on the interested lines. The paper presents an integrated Health Monitoring framework that makes intelligent use of all available information thus enhancing the system availability, allowing its operation even in presence of faulty sensors and detecting the onset of failures in the actuation system. At the same time its use can facilitate maintenance organization, simplify the spare parts logistics and provide help to the traffic management. The proposed framework has been developed taking advantage of a high-fidelity model of the physical system validated through comparison with experimental mission profiles on the Lichtenfels - Saalfeld and Battipaglia - Reggio Calabria routes, which have been used by the train manufacturer to assess the performance of their tilting trains.


2014 ◽  
Vol 85 (9) ◽  
pp. 096104 ◽  
Author(s):  
Shijie Zhao ◽  
Yan Li ◽  
Enyao Zhang ◽  
Pei Huang ◽  
Haoyun Wei

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