Experiment of Micro-Parts Feeding on Saw-Tooth with the Effect of the Surface Geometry Parameters

2013 ◽  
Vol 740 ◽  
pp. 99-104
Author(s):  
Phuong Hoai Le ◽  
Thien Xuan Dinh ◽  
Atsushi Mitani ◽  
Shinichi Hirai
Keyword(s):  
Particle Tracking ◽  
Particle Tracking Velocimetry ◽  
Surface Velocity ◽  
Tooth Surface ◽  
Characteristic Surface ◽  
Surface Geometry ◽  
Exciting Frequency ◽  
Micro Parts ◽  
Relative Scale ◽  
Parts Feeding

In this work, we study experimentally the effect of the geometry parameters of saw-tooth surface and micro-part on the motion of micro-parts. The experiments are performed for a range of saw-tooth pitch,p, micro-part length,l, and exciting frequency applied to the surface,f. By the use of particle tracking velocimetry method, we can achieve time-dependent velocity, and then ensemble-averaged velocity of the micro-parts. The results show that for differentlandpbut the same relative scalel/p, the profiles of micro-part velocity against the characteristic surface velocitypfare similar. However, they shift alongpfaxis depending onp. Furthermore, the profiles are the similar for the relative scalel/pof 4 to 100. It seems that the motion of micro-part depends on characteristic surface velocitypfthan the relative scalel/pforl/plarger than a certain value.

A Study on the Motion of Micro-Parts on a Saw-Tooth Surface by the PTV Method

2011 ◽  
Author(s):  
Phuong Hoai Le ◽  
Thien Xuan Dinh ◽  
Atsushi Mitani ◽  
Shinichi Hirai
Keyword(s):  
High Speed ◽  
Particle Tracking Velocimetry ◽  
Surface Profile ◽  
Tooth Surface ◽  
Longitudinal Displacement ◽  
Micro Parts ◽  
Length Width ◽  
Canny Edge ◽  
Motion Behavior ◽  
Unidirectional Motion

This study investigates the motion of micro parts on several vibratory plates with saw-tooth surface profile driven by a piezoelectric actuator. The surfaces are made of carbide, brass, and zirconia with the same profiles as a saw-tooth. The velocity and position of micro-parts are time-dependently measured by the particle tracking velocimetry (PTV) method where the Canny edge detection technique is used. In the present experiment, 2012-type micro-parts whose dimensions are 2.0 × 1.2 × 0.6 mm3 in length, width, and depth, respectively, are employed. The mass of each micro-part is 7.5 mg. Using a high-speed camera, the tracked longitudinal displacement resolution is found to be about 0.01 mm, which is small in comparison with the length of each micro-part. The obtained results show that unidirectional motion can be attained by the present feeder system. For the same oscillating frequencies and amplitudes applied to the sawtooth surfaces, the motion behavior of micro-parts varies for different experiments and surfaces. This implies that the motion of micro-parts is affected by uncertain causes. However, the probability distribution of the micro-parts’ velocity can be approached by a Gaussian distribution.

scholarly journals Micro-Parts Feeding by a Saw-tooth Surface

2005 ◽  
Vol 71 (704) ◽  
pp. 1169-1176
Author(s):  
Atsushi MITANI ◽  
Naoto SUGANO ◽  
Shin-ichi HIRAI
Keyword(s):  
Tooth Surface ◽  
Micro Parts ◽  
Parts Feeding

scholarly journals Quantifying the Response of Grass Carp Larvae to Acoustic Stimuli Using Particle-Tracking Velocimetry

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 603
Author(s):  
Hojung You ◽  
Rafael O. Tinoco
Keyword(s):  
Particle Tracking ◽  
Grass Carp ◽  
Particle Tracking Velocimetry ◽  
Quantitative Imaging ◽  
Functional Relation ◽  
Acoustic Signals ◽  
Ecological Impacts ◽  
Ctenopharyngodon Idella ◽  
Response Ratio ◽  
Larval Behavior

Acoustic deterrents are recognized as a promising method to prevent the spread of invasive grass carp, Ctenopharyngodon idella (Valenciennes, 1844) and the negative ecological impacts caused by them. As the efficacy of sound barriers depends on the hearing capabilities of carp, it is important to identify whether carps can recognize acoustic signals and alter their swimming behavior. Our study focuses on quantifying the response of grass carp larvae when exposed to out-of-water acoustic signals within the range of 100–1000 Hz, by capturing their movement using particle-tracking velocimetry (PTV), a quantitative imaging tool often used for hydrodynamic studies. The number of responsive larvae is counted to compute response ratio at each frequency, to quantify the influence of sound on larval behavior. While the highest response occurred at 700 Hz, we did not observe any clear functional relation between frequency of sound and response ratio. Overall, 20–30% of larvae were consistently reacting to sound stimuli regardless of the frequency. In this study, we emphasize that larval behaviors when exposed to acoustic signals vary by individual, and thus a sufficient number of larvae should be surveyed at the same time under identical conditions, to better quantify their sensitivity to sound rather than repeating the experiment with individual specimens. Since bulk quantification, such as mean or quantile velocities of multiple specimens, can misrepresent larval behavior, our study finds that including the response ratio can more effectively reflect the larval response.

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