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    Item type:Publication,
    3D inspection for HDD production process using laser light sectioning
    (2015-01-01)
    Gulphanich, S.
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    This research proposes the automatic visual inspection from three-dimensional characteristics of Hard Disk Drive case tightening process by machine vision system using laser light sectioning. The machine vision camera captures a number of features of HDD perpendicular to a conveyor belt as seen by a laser strip light. The narrow band pass filter (650 nm.) was mouthed in front of lens in order to cut off the unwanted wavelength. After image pre-processing, the laser profiles were calculated the center of gravity to extract the image coordinate. The features used here are the laser strip profile at various locations along the HDD formulating the 3D data. The homography computation was used to transform the image coordinate to the real world distance (in metric system). This scheme can be used to inspect the completeness of screwing process of the HDD which the 2D visual inspection cannot perform on the top view.
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    Item type:Publication,
    Similarity Model of MWA Thailand Water System for Error Estimation of Ultrasonic Flow Meter
    (2017-01-01)
    Wachirapunyanont, R.
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    Kongratana, V.
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    Gulphanich, S.
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    This paper proposed a similarity model of MWA water system using the dimensional analysis based on the theory of Buckingham Pi for error estimation of transit-time ultrasonic flow meter with clamp-on at different installation conditions. There were three main parameters groups, i.e., pipe characteristic, meter installation, and fluid characteristic and properties and could be arranged in five Pi terms, i.e. E×(L<inf>e</inf>/D), µ/ρvD, L<inf>e</inf>/D, U<inf>s</inf>/D and U<inf>s</inf>/D. The results showed that the relative errors of measurement increased with the decreasing of upstream and downstream of meter at the same velocity and there was a possibility to use the model to determine the correction factor to compensate the velocity measurement of ultrasonic flow meter as the installation could not comply with the requirement. However, the further experiments should be performed for validation of the model predictive equation i.e., E 0.3607 E <sup>.</sup> p m.