Precision<i>in situ</i>volume measurement of micro droplets

Fan, Kuang‐Chao; Chen, Jhih-Yuan; Wang, Ching-Hua; Pan, Wen-Chueh

doi:10.1088/1464-4258/11/1/015503

Cited by 9 publications

(5 citation statements)

References 17 publications

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“…There are several studies to present the methods of measurement of droplet volume. Optical particle counter, digital PCR, a stroboscopic technique or electrode-based volume metering can be used to accurately measure droplet volume or count [27][28][29][30]. However, we couldn't apply these precise volume measuring methods because of limitation of the necessary equipment.…”

Section: Discussionmentioning

confidence: 99%

Body Map of Droplet Distributions During Oropharyngeal Suction to Protect Health Care Workers From Airborne Diseases

Park¹,

Su²,

Kang³

et al. 2023

Journal of PeriAnesthesia Nursing

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Section: Discussionmentioning

confidence: 99%

Body Map of Droplet Distributions During Oropharyngeal Suction to Protect Health Care Workers From Airborne Diseases

Park¹,

Su²,

Kang³

et al. 2023

Journal of PeriAnesthesia Nursing

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“…This program has been successfully applied in a circular shape analysis with a sub-pixel technique [23]. The sequence of defect inspection is illustrated in the flow chart of Fig.…”

Section: The Inspection Processmentioning

confidence: 99%

Development of auto defect classification system on porosity powder metallurgy products

Fan

Chen

et al. 2010

NDT & E International

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“…By adjusting the delay time, the microdrop formation process could be obtained. The in situ measurement system built by Fan et al [ 8 ] was composed of a CCD camera, a zoom lens, and a stroboscopic light. The strobe light was simultaneously triggered by the same frequency as the function generator which actuated the piezoelectric ceramic film.…”

Section: Introductionmentioning

confidence: 99%

In Situ Image Acquisition and Measurement of Microdroplets Based on Delay Triggering

Chang

Zheng²,

Xie

et al. 2019

Micromachines

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An in situ image acquisition apparatus based on delay triggering for visualizing microdroplets formation is described. The imaging system includes a charge-coupled device camera, a motion control card, a driving circuit, a time delay triggering circuit, and a light source. By adjusting the varying trigger delay time which is synchronized with respect to the signal for jetting, the steady sequential images of the droplet flying in free space can be captured real-time by the system. Several image processing steps are taken to measure the diameters and coordinates of the droplets. Also, the jetting speeds can be calculated according to the delay time interval. For glycerin/water (60:40, mass ratio), under the given conditions of the self-made pneumatically diaphragm-driven drop-on-demand inkjet apparatus, the average of diameter and volume are measured as 266.8 μm and 9944 pL, respectively, and the maximum average velocity of the microdroplets is 0.689 m/s. Finally, the imaging system is applied to measure the volume of 200 microsolder balls generated from the inkjet apparatus. The average diameter is 87.96 μm, and the relative standard deviation is 0.83%. The results show good reproducibility. Unlike previous stroboscopic techniques, the present in situ imaging system which is absence of instantaneous high intensity light employs two control signals to stimulate the microdroplet generator and the charge-coupled device (CCD) camera. Hence, the system can avoid the desynchronization problem of signals which control the strobe light-emitting diode (LED) light source and the camera in previous equipment. This technology is a reliable and cost-effective approach for capturing and measuring microdroplets.

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Precisionin situvolume measurement of micro droplets

Cited by 9 publications

References 17 publications

Body Map of Droplet Distributions During Oropharyngeal Suction to Protect Health Care Workers From Airborne Diseases

Body Map of Droplet Distributions During Oropharyngeal Suction to Protect Health Care Workers From Airborne Diseases

Development of auto defect classification system on porosity powder metallurgy products

In Situ Image Acquisition and Measurement of Microdroplets Based on Delay Triggering

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