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    Conductivity analysis of lubricant in terms of deterioration by using a hall effect sensor
    (2019-11-01)
    Sriratana, Witsarut
    ;
    Prommapit, Sombat
    ;
    Khwankityotha, Yannadech
    ;
    Sriratana, Lerdlekha
    This paper investigates the efficiency of lubricant analysis by using electrical conductor theory that applied to check the performance of the lubricant, it will be indicate a life cycle of lubricant. The measurement process has led Electrochemical cell, Induction coil and Hall Effect sensor for electrochemical field analysis and compare it with electrical conductivity. In conductivity measurement experiment, we consider dynamic measurement velocity at 80 RPM with a lubricant Semi-Synthetic 10W-40 type by 5 different life cycle samples ratio, Used lubricant: Unused lubricant are 100% (4: 0), 75% (3:1), 50% (2:2), 25% (1:3) and 0% (0:4). The voltage output of Hall Effect sensor of 100% sample measurement at 100 degree Celsius is higher than the voltage output of 75%, 50%, 25% and 0% sample are 7.04%, 12.21%, 21.25% and 28.65%, respectively. The average percentage of Hall Effect sensor errors with the dynamic measurement method of the 5 lubricant samples was 2.87. Even though this measurement method had a high percentage of errors, but it has a cost advantage over the current measuring devices such as the Viscometer which is expensive cost.
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    A Study on Influences of Metal Materials on Electromagnetic Field Generated by Pure DC and Combined DC
    (2018-10-15)
    Sriratana, Witsarut
    ;
    Kaewnamchai, Vanisara
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    Sriratana, Erdlekha
    This paper presents the classification of metals materials by application of Hall Effect sensor based on the eddy current method with non-destructive testing. The electromagnetic field was generated by winding an SWG 22 wire onto the ferrite core to create a solenoid. Two measurement systems are used. One uses a Pure DC supply as the excitation voltage of the electromagnetic field of the Hall Effect sensor system; while the other uses a combination of AC and DC supply, which is amplified through an integrated Class-A amplifier circuit, as the excitation voltage. Three different metal samples, namely, steel, aluminum and stainless steel were used as specimen. Current test conducted to determine the suitable current level revealed that a 0.8 A current is safe to allow tests to be conducted. Results show that the Combined DC system is capable to classify conductive materials, where the Pure DC system lacks in this functionality. The Output voltage of Hall Effect sensor to test with steel, aluminum and stainless steel is 4.68 V, 1.74 V and 3.63 V, respectively. Furthermore, the use of the Combined DC system enables aluminum thickness to be distinguished. The tolerance of the system measuring the materials when using the Pure DC and Combined DC are pm 0.0697% and pm 0.58530% respectively.
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    Elongation measurement using 1-dimensional image correlation method
    (2016-01-01)
    Phongwisit, Phachara
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    Kamoldilok, Surachart
    ;
    Buranasiri, Prathan
    Aim of this paper was to study, setup, and calibrate an elongation measurement by using 1- Dimensional Image Correlation method (1-DIC). To confirm our method and setup correctness, we need calibration with other methods. In this paper, we used a small spring as a sample to find a result in terms of spring constant. With a fundamental of Image Correlation method, images of formed and deformed samples were compared to understand the difference between deformed process. By comparing the location of reference point on both image's pixel, the spring's elongation were calculated. Then, the results have been compared with the spring constants, which were found from Hooke's law. The percentage of 5 percent error has been found. This DIC method, then, would be applied to measure the elongation of some different kinds of small fiber samples.
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    Non-destructive detection of internal mold infection in sweet tamarind using short wavelength near infrared spectroscopy
    (2014-10-20)
    Teerachaichayut, S.
    ;
    Suktanarak, S.
    ;
    Kasemsumram, S.
    Internal quality of sweet tamarind ('Prakaytong') is an essential commercial attribute. Determination of internal mold cannot be done by visual inspection on the outside of an intact tamarind. Therefore, a non-destructive measurement and data evaluation technique were considered using short wavelength near infrared (SW-NIR) transmittance spectroscopy in order to detect internal mold infection in sweet tamarind. A set of 176 tamarind samples (a calibration set = 124 and a prediction set = 52) were used in this research. Spectra in the region of 665-955 nm were acquired from scanning the center of each seed pod. The averaged spectral reading was used for partial least squares-discriminant analysis (PLS-DA) to establish a classification model for tamarind quality between groups of normal and defected samples. The calibration model obtained optimal result by cross validation using second derivative spectral pretreatment. The classification accuracy on the calibration set was 86.3% (58 out of 62 for the normal samples and 49 out of 62 for the defected samples) and on the prediction set was 84.6% (26 out of 26 for the normal samples and 18 out of 26 for the defected samples). The results showed that SW-NIR transmittance spectroscopy can be used to non-destructively detect internal mold infection in intact sweet tamarind.
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    Detection of internal mold infection in tomato by transmittance near infrared spectroscopy
    (2014-10-20)
    Jannok, P.
    ;
    Petcharaporn, K.
    ;
    Teerachaichayut, S.
    Alternaria alternata is the black mold occurring inside tomato. This defect can be normally found by destructive method but it cannot be detected by visible inspection from outside appearance of intact tomato. Therefore, a non-destructive technique for prediction of internal mold infection in tomato is required. Near infrared (NIR) spectroscopy technique was considered in this research. Transmittance NIR spectra in the range of 665-955 nm of tomato were acquired. Partial least squares-discriminant analysis (PLS-DA) was performed to establish the calibration model. Results indicated that combination of the standard normal variate transformation (SNV) and smoothing (Savitzky-Golay) pretreatment appeared the best method to develop the model. The calibration model was crossvalidated by a training set (N=140) and used for prediction by a test set (N=60). It obtained 85.0% (corrected 88.7% in normal samples and corrected 81.2% in defected samples) and 91.7% (corrected 100% in normal samples and corrected 83.9% in defected samples) of the total accuracy for calibration and prediction, respectively. Moreover, defected samples were classified in 3 levels of infection severity. The accuracies of cross validation for groups of low, medium and high infection severity were investigated and obtained 82.2, 82.4 and 90.0%, respectively. In conclusion, the calibration model from transmittance NIRS technique can be applied for rapid and non-destructive sorting of internal mold infection in intact tomato.
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    Subsidence monitoring system for industrial machines based on magnetic field method
    (2010-12-01)
    Sriratana, Witsarut
    ;
    Nakmee, Kreangkrai
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    Tanachaikhan, Lerdlekha
    This study presents the design of subsidence monitoring system for industrial machine alignment based on magnetic field method. The system was developed to demonstrate the level of land subsidence in the area of the industrial machine located. A computer was used to collect the data and to display the angles of subsidence over operation period. The measurement module consists of two thin-and-curve permanent magnets (10 mm x 41.5 mm x 1.5 mm) with the outer radius of 24 mm, the curve angle of 120 degree, and the maximum magnetic density of 0.23 Tesla. The gap between these two magnets was 12 mm to generate the magnetic tension force. The sensing module was Hall Generator placed perpendicularly to the magnetic fluxes which can generate the output voltage as a function of subsidence angle and magnetic density on X axis and Z (vertical) axis with the resolution of 100 mV per degree. There were two ranges of measurement according to the angle resolution: -20 to 20 degree at 1 degree of resolution per step and -6 to 6 degree at 0.05 degree of resolution per step. ©ICROS.
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    Analysis of capacitive variation using parallel-plates method
    (2009-12-01)
    Tanachaikhan, Lerdlekha
    ;
    Sriratana, Witsarut
    Capacitive variation of capacitive sensor was analyzed by using two parallel plates coated by 0.4 mm- thick nylon and fixed together by resin to maintain the distance of those two plates at 2.5 mm and 5 mm. In this study, stainless and copper were used for development of capacitive sensor. In this paper Ethel alcohol solution is used as a case study. Ethel alcohol solution with the concentration ranging from 95% to 5% with 10% step decrease of concentration diluted by distilled water was experimented under the controlled temperature of 23°C and the frequency was varied from 100 Hz to 2 kHz with 500 Hz interval. The capacitive variation analyzed from the equivalent circuit which was obtained from the developed sensor was then compared to the electrical circuit obtained from the Good Will R-L-C instrument model CRT to analyze for the appropriate material and the distance between two parallel plates (d) of the sensor. This proposed methodology was developed with consideration of the simple design for easy fabrication and low costs with high accuracy and reliability of the results. ©2009 IEEE.
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    Error analysis of temperature measurement system: A case of PT100
    (2009-01-01)
    Tanachaikhan, Lerdlekha
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    Tammarugwattana, Narin
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    Sriratana, Witsarut
    ;
    Seangratipen, Tawatchai
    This paper presents the study of uncertainty in measurement as well as the error compensation of the industrial temperature instrument under various conditions for precise and reliable results of the measurement. In this study, the temperature calibration system of PT100 was used as a case study. Data used in analysis were collected from 200 values of repetitive temperature measurement in the range of 25 °C to 100 °C using Data logger together with a computer to process, analyze, and collect in database system which was developed from Visual Basic. The efficiency and characteristics of the developed system were statistically analyzed from error, mean, standard deviation, and uncertainty of each measured value to improve the reliability of the instrument which is used in industrial processes.
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    Using electrical impedance to predict catheter-endocardial contact during RF cardiac ablation
    (2002-02-26)
    Cao, Hong
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    Tungjitkusolmun, Supan
    ;
    Choy, Young Bin
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    Tsai, Jang Zern
    ;
    Vorperian, Vicken R.
    During radio-frequency (RF) cardiac catheter ablation, there is little information to estimate the contact between the catheter tip electrode and endocardium because only the metal electrode shows up under fluoroscopy. We present a method that utilizes the electrical impedance between the catheter electrode and the dispersive electrode to predict the catheter tip electrode insertion depth into the endocardium. Since the resistivity of blood differs from the resistivity of the endocardium, the impedance increases as the catheter tip lodges deeper in the endocardium. In vitro measurements yielded the impedance-depth relations at 1, 10, 100, and 500 kHz. We predict the depth by spline curve interpolation using the obtained calibration curve. This impedance method gives reasonably accurate predicted depth. We also evaluated alternative methods, such as impedance difference and impedance ratio.