Real-time deformation and cutting simulation of cornea using point based method

2018 ◽  
Vol 78 (2) ◽  
pp. 2251-2268
Author(s):  
Yanjun Peng ◽  
Qiaoling Li ◽  
Yingying Yan ◽  
Qiong Wang
2020 ◽  
Vol 39 (6) ◽  
pp. 19-32
Author(s):  
F. Corda ◽  
J. M. Thiery ◽  
M. Livesu ◽  
E. Puppo ◽  
T. Boubekeur ◽  
...  
Keyword(s):  

2021 ◽  
Vol 26 (3) ◽  
pp. 290-297
Author(s):  
Mengjie Jing ◽  
Zhixin Cui ◽  
Hang Fu ◽  
Xiaojun Chen

2017 ◽  
Vol 209 (3) ◽  
pp. 1408-1417 ◽  
Author(s):  
Rui Tu ◽  
Jinhai Liu ◽  
Cuixian Lu ◽  
Rui Zhang ◽  
Pengfei Zhang ◽  
...  

Author(s):  
Hong-Il Kim ◽  
Lae-Hyong Kang ◽  
Jae-Hung Han

Dimensional stability of the space structures, such as large telescope mirrors or metering substructures, is very important because even extremely small deformations of these structures might degrade the optical performances. Therefore, precise deformation data of the space structures according to environment change are required to design these structures correctly. Also, real-time deformation monitoring of these structures in space environment is demanded to verify whether these structures are properly designed or manufactured. FBG (fiber Bragg grating) sensors are applicable to real time monitoring of the space structure because they can be embedded onto the structures with minimal weight penalty. In this research, therefore, thermal deformation measurement system for the space structures, composed of FBG sensors for real time strain measurement and DMI (displacement measuring interferometers) for accurate specimen expansion data acquisition, is developed. Thermal strains measured by distributed FBG sensors are evaluated by the comparison with the strains obtained by highly accurate DMI.


GPU Pro 360 ◽  
2018 ◽  
pp. 247-270
Author(s):  
Henry Schäfer ◽  
Matthias Nießner ◽  
Benjamin Keinert ◽  
Marc Stamminger

2011 ◽  
Vol 130-134 ◽  
pp. 3572-3576
Author(s):  
Li Zong Lin ◽  
Xiao Peng Ni ◽  
Luo Shan Zhou ◽  
Zhi Qin Qian

Dynamic deformation measurement of machine parts in fatigue strength test is studied by using machine vision technique. Considering the uncertainty of parts surface, we adopt circular mark to locate the object profile in order to obtain high quality images. Through some image pre-processing with linear filtering, continuous contour searching method and circular detection based on random Hough transform (RHT), the real-time deformation can be measured with image characteristic parameters. In the practical application, the deformation of the loaded bicycle handle-bar is calculated. The test results show that the machine vision measurement is very effective; measurement resolution attains 0.1mm/pixel; the discrete degree of measurement data is low and the system meets the requirement of real-time measurement. The study proves that the measurement method of dynamic deformation based on machine vision is feasible, which can give some help for fatigue strength test of machine part and other structure deformation.


Author(s):  
Aidong Meng ◽  
Sayed A. Nassar

A Digital Speckle Pattern Interferometry (DSPI) system is developed for the real-time measuring and monitoring the out-of-plane surface deformation around tightened threaded fasteners that are used to clamp bolted assemblies. Spatial phase shifting is employed to quantitatively determine the distribution of phase data by introducing a spatial carrier fringe pattern to the speckle interferogram. This is achieved by leading the object and reference beams to two separate apertures. The configuration is also suitable for collecting the real-time deformation during bolt tightening. The experimental DSPI system is set-up with optical components on a vibration-isolation table. A Matlab software is developed for the image acquisition and phase data calculation, which yields the out-of-plane surface deformation caused by the bolt preload. An aluminum joint is used with an M12 steel fastener. For miniature screw application, however, a plastic joint is used for collecting data.


2019 ◽  
Vol 19 ◽  
pp. 319-324
Author(s):  
Yu Liu ◽  
Xing Zou ◽  
Xiangfei Nie ◽  
Xiaowei Liu ◽  
Guangwen Xi

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