Method of Precise Tool Setting for Micro Turning

2012 ◽  
Vol 723 ◽  
pp. 383-388
Author(s):  
Kai Bo Zheng ◽  
Ning He ◽  
Liang Li ◽  
Meng Zhao ◽  
Zhan Qiang Liu
Keyword(s):  
Image Processing ◽  
Reliability Analysis ◽  
Real Time ◽  
Target Position ◽  
Ccd Camera ◽  
Processing Method ◽  
Image Processing Method ◽  
Precise Tool ◽  
Tool Setting ◽  
Micro Turning

Based on microscope and image processing, a method of auto tool setting for micro turning was innovated. Firstly, real-time images of tool setting were obtained by high pixel CCD camera, then specific image processing method and algorithm were applied to these images and the deviation between the tool point and target position was calculated. Based on the gap value, tool feeding increment value was adjusted and image processing operations were executed. These steps were repeated until the gap was zero, which means that tool setting was finished. Moreover, a reliability analysis was performed. Result indicated that the precision of tool setting is satisfactory.

DESIGN AND EVALUATION OF A NEW ELECTROPHORETIC MOBILITY MEASUREMENT INSTRUMENT USING MICROELECTROPHORESIS SYSTEM WITH IMAGE PROCESSING METHOD

2017 ◽  
Vol 29 (05) ◽  
pp. 1750036
Author(s):  
Boon Yew Teoh ◽  
Misni Misran ◽  
Zhi Zhang Tan ◽  
Poh Foong Lee
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Electrophoretic Mobility ◽  
Bone Cells ◽  
Ph Value ◽  
Processing Method ◽  
Yeast Cells ◽  
Polystyrene Microsphere ◽  
The Real ◽  
Image Processing Method

Electrophoretic mobility (EPM) measurement on biological particles in fluids is well established. The current method in measuring EPM is using laser which the target particles are not visible. Additional morphology information is critical for the EPM measurement. Image processing is a promising method to obtain the EPM together with the morphology information. In this study, a setup of micro electrophoresis system with a compact CCD microscope was constructed. This setup was equipped with image processing method for capturing the images of the moving particles in an electric field. With the image processing method (Horn–Schunck method), the images captured were processed in real time to obtain the EPM of the particle. Velocity of the particles was then measured and the particles’ EPM was obtained. With the captured images of the particles in real time, the system can present the image of the targeted particle together with the EPM value. The setup of this prototype was calibrated with discrete particles (Polystyrene microsphere size of 10[Formula: see text][Formula: see text]m[Formula: see text] 5%) and with a magnification value of 125[Formula: see text]X. This system is suitable for the surface charge measurement of discrete particle with size in between 4[Formula: see text][Formula: see text]m and 20[Formula: see text][Formula: see text]m. Comparison of commercialized device with our laboratory setup for calibration on EPM of polystyrene beads had a variance of solely 13%. Measurement on yeast cells, normal (hFob 1.19) and cancer bone cells (U2OS) indicated that the EPM of yeast became highly negative in the pH value of 4.5 and 6.5. The negative EPM of the cancer cell is slightly larger than that of the normal cell for pH ranging from 4.4 to 5.0. In conclusion, the real-time EPM measurement set up for this study is able to display the real-time images of the moving particles in fluid suspension during measurement.

A Real-Time Image Processing Method for Multi-Beam Forward-Looking Sonar of AUV

2015 ◽  
Vol 713-715 ◽  
pp. 2101-2105
Author(s):  
Lei Gao ◽  
Hong Li Xu
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Obstacle Avoidance ◽  
Fuzzy Clustering ◽  
Processing Method ◽  
Image Processing Method ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
Time Image ◽  
Forward Looking

The key of real-time obstacle avoidance for AUV is to accurately and fast identify underwater obstacle. In this paper, according to the characteristics of the multi-beam forward-looking sonar of AUV, we extracted the obstacle information from sonar image with the image filtering, fuzzy clustering and morphological methods. Finally, it can be proved that the real-time image processing method is feasible and effective by the lake trial.

A Study on Bore-Sighting for the Error Reduction of the XK11

2006 ◽  
Vol 326-328 ◽  
pp. 179-182
Author(s):  
Woon Joo Yeo ◽  
Je Wook Chae ◽  
Chan Lee ◽  
Eui Jung Choi ◽  
Jun Ho Lee
Keyword(s):  
Image Processing ◽  
Control System ◽  
Ccd Camera ◽  
Error Reduction ◽  
Processing Method ◽  
Laser Pointer ◽  
Image Processing Method ◽  
Optical Part ◽  
Sighting Method ◽  
Human Eyes

This study is launched to get exact bore-sighting value in the process of assembly for XK11. Image processing method with Charged Coupled Device camera is chosen for the Error reduction of bore-sighting. The results of this method by using a CCD camera and the Testing Target Method are described in this paper. After we confirm the performance of the Dual-Barrel Weapon and that of the Firing Control System in the Dual Barrel Weapon System, the bore-sighting which is a part of the process in the system assembly is accomplished. In this process, the position of the barrel is identified by using the Testing Target Method that is an existing bore-sighting method. Then the fixing line of the Firing Control System is checked by a Day-Optical part. The precision of the boresighting is required within 1 mil, however the manual method using the human eyes makes it worse. Therefore CCD camera is installed in the eyepieces. Next, we can get the image of the sighting and the center coordinate values of the laser-pointer from each barrel by image processing method. Required bore-sighting value is calculated from the eccentricity of the center coordinate. Finally, we will plan to adopt this result in the assembly process of XK11.

scholarly journals A Study of a CCD Camera for Vibration Measurement

2018 ◽  
Vol 215 ◽  
pp. 01012
Author(s):  
Zulkifli Amin ◽  
Muhammad Ikhsan
Keyword(s):  
Image Processing ◽  
Vibration Amplitude ◽  
Measurement Instrument ◽  
Ccd Camera ◽  
Processing Method ◽  
Vibration Measurement ◽  
Rotating Shaft ◽  
Image Processing Method ◽  
Matlab Program ◽  
Transmission Shaft

Vibration may occur in rotating equipment, for example on the transmission shaft of the gear. If the motor rotation is high enough, the load and torque could also be large enough. So that it can cause the shaft to vibrate and this vibration can damage the shaft. Therefore, the magnitude of vibration of the shaft need to be measured in order to monitor that the magnitude of the vibration is not high enough to damage the shaft. Usually for measuring the magnitude of this vibration is used a vibration meter. The weakness of the vibration meter is that the method of the measurement is by touching the measured object. So this measuring instrument is easily damaged by the vibration. An alternative to measure the vibration of a shaft is by applying an image processing method. Image processing is a method that performs processing of images digitally. The measurement of vibration by image processing method is tested on a vibrating shaft. The image of the vibrating shaft is captured by a CCD camera and then processed by a Matlab program to extract the value of vibration amplitude. From the tests performed, the measurement of vibration using the image processing method, the measurement can be done without touching the vibrating shaft. The obtained values of amplitude are deviate about 5.73% in average from the theoretical values. This method and tools can be used to measure the rotating shaft vibration amplitude provided the measurement instrument is calibrated prior being used by considering the value of deviation.

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