Sriratana, Witsarut

Preferred name

Sriratana, Witsarut

Alternative Name

Sriratana, W.

Main Affiliation

School of Engineering

witsarut.sr@kmitl.ac.th

Now showing 1 - 6 of 6

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Real-Time Monitoring of Hydraulic Oil Deterioration Using a Hall Effect Sensor Under Operational Conditions
(2025-01-01)
Sriratana, Witsarut
;
Chartpolrak, Pijaya
;
Tammarugwattana, Narin
This paper presents a method for measuring hydraulic oil degradation by detecting metal particle flow using a permanent magnet's magnetic field and monitoring voltage changes in a Hall effect sensor (HES). Degraded hydraulic oil containing increased metal contaminants from component wear exhibits reduced viscosity and higher flow rates. We developed a measurement device incorporating a microcontroller to process data and display contamination levels on an organic light-emitting diode (OLED) screen, enabling real-time monitoring without interrupting machine operations. Experiments measured voltage variations at three system locations with metal contamination levels from 2.5 to 5.0 grams per liter (in 0.5 grams per liter increments). Results showed the HES output voltage varied linearly with particle concentration, demonstrating a maximum deviation of 4.73 millivolts (0.47 %) at 2.5 grams per liter, particularly at the reservoir outlet. This approach helps assess hydraulic oil contamination under operational conditions, offering advantages in real-time monitoring capability, cost-effectiveness, and non-invasive implementation.
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Empirical study on influences of electromagnetic field on Hall Effect sensor for analysing oil lubricant deterioration
(2020-07-30)
Satthamsakul, S.
;
Sriratana, W.
;
Sriratana, L.
This study aims to present the procedure developed for detecting deterioration of oil lubricant under variation of electromagnetic field which was generated by a ferrite-core solenoid coil. The overall diameter of coil was 18.5 mm and the inductance was 22.421 mH from direct current stimulation. The results were then compared to those from frequency stimulation. The optimal efficiency of measurement systems was then assessed by real-time analyzing the metal particle contamination of 3 oil lubricants categorized by grade namely ISO 32, ISO 46 and ISO 68 as well as the viscosity under specific conditions which were flow rate and temperature ranging from 25 °C to 100 °C. The analysis was performed to compare the results from experiments of unused and used (approximately 6 months) oil lubricants. From experiments, the viscosity of oil lubricant was reduced when the temperature exceeded 50 °C. However, the stimulation of coil using 0.9 A direct current could clearly distinguish the difference between the unused and used oil lubricants with metal particle contamination comparing to other values of direct currents applied with 0.42 % of error. Also, the 0.5 kHz of frequency would be the most appropriate value for frequency stimulation with 0.38 % of error.
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Analysis of electric current by using MySQL database on web server for machine performance evaluation: A case study of air conditioning system
(2020-10-13)
Sriratana, Witsarut
;
Khagwian, Vittaya
;
Satthamsakul, Sutham
This study developed a performance analyzing system for industrial machines by using an air conditioning system as a case study. Electricity consumption of the air conditioner compressor operating normally under controlled temperature in the room was gathered by applying the principle of quantitative data collection. Work efficiency of the system was analyzed by using the big data pattern. Due to sufficient information, it can further contribute to the application of AI (Artificial Intelligence) in analysis of the failures or causes of machine malfunctions. Data collecting system in this study was designed to analyze electric current and various parameters including power voltage, temperature and humidity, real power and power factor in order to recheck as well as increase the reliability of the system. All collected data were stored in the MySQL database on a web server and managed by phpMyAdmin that could allow users to access the information chronologically on daily, monthly, or yearly basis via a computer screen. The test results showed that the designed system was accurate with a small variation about 0.07 A or 1.78% compared to the standard digital ammeter. For power voltage, an average difference compared to the standard digital voltmeter was approximately 0.4 V or about 0.17%.
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Application of webcam for inspection of rice grain quality by using image processing technique
(2020-10-13)
Sriratana, Witsarut
;
Narknam, Namo
;
Apichitanon, Ruangsit
;
Tammarugwattana, Narin
This paper presents the image processing system for quality inspection of rice grains after sorting process by using an ordinary webcam to ensure that rice grains should meet the quality standards and impurity such as grits, dirt and stones should not be found [1]. Moreover, statistical information of rice grains from image processing could be taken into analysis to enhance the efficiency of the sorting process. Image data analysis of rice grains can be divided into 2 main arrangement conditions, non-overlapping and overlapping. In this study, the experiments to inspect rice grains were applied for 24 samples and 18 experimental designs including the complete and incomplete structures, the overlapping and non-overlapping arrangements, and the combination of rice grains from complete and incomplete structures in equal and unequal ratios. From experiments, it was found that the inspection of rice grain quality by using image processing technique and image data recorded by an ordinary webcam was reliable and efficient. The inspection errors under non-overlapping arrangement condition of complete and incomplete structures of rice grains were not observed. The inspection errors of rice grains combined from complete and incomplete structures in equal and unequal ratios were about 0.8% and 1.11%, respectively. However, under overlapping arrangement condition, it was observed that the inspection errors of image processing would be high by up to 53.82% on average.
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Development of a Capacitive Sensing Module to Detect the Concentration of Isopropyl Alcohol for Covid-19 Disinfection Using Small Capacitance to DC Converter
(2024-01-01)
Sriratana, Witsarut
;
Faijaree, Manasnit
;
Sriratana, Lerdlekha
;
Satthamsakul, Sutham
This paper presents the development of a sensing module for analyzing the concentration of disinfectant alcohol commercially available in Thailand during the Covid-19 epidemic situation to ensure the ingredients and percentage concentration by focusing on simplicity, low cost with reliable performance. Under the basic physical structure of the capacitance change [1]-[5], it consists of a New Sensor Module developed to fully interface with the small capacitance to DC converter for capacitive sensor [2] model. Inside the sensing structure, there were 2 modules of metal conductors. Each conductor was 3 mm. thick, placed in parallel with a fixed distance between the module of 1 mm. The cross-sectional areas of the plates of those two modules were different in order to compare the efficiency of the detector developed. The cross-sectional areas of the plates of Module A and B were 4 cm<sup>2</sup> and 1 cm<sup>2</sup>, respectively. Experiments were performed with 3 concentrations of alcohol, 65%, 70% and 75%, to enhance the concentration detecting performance of the sensing module developed. The signal conditioning was generated from a small capacitance to DC converter for capacitive detection with a frequency of 100 kHz, which was the most suitable frequency for exciting the capacitance change which was the capacitive reactance of the alcohol used in this study. From experiments, it was found that the sensing module with a small cross-sectional conductive material would provide more accurate results in terms of linearity and repeatability. The errors were less than 2.72% compared to the module with a large cross-sectional conductor material which would have an error up to 4.73%.
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Analysis of Eggs Quality by Using the NIR
(2023-12-14)
Sriratana, Witsarut
;
Iamyang, Wongwit
;
Sriratana, Lerdlekha
In this study, fresh chicken eggs that had hatched between 11 to 22 days prior were used to examine and devise a method for assessing chicken egg quality [1][9]. The samples were separated into three sizes: medium, large, and extra-large, and stored in an environment with controlled temperature and humidity. The eggs were then exposed to near-infrared spectra projected onto them by a spectrometer in the wavelength range of 610 to 880 nm [2][4][6]. The water molecules within the eggs absorb near-infrared thermal radiation. The unabsorbed portion of the thermal energy or near-infrared spectrum reflects some of the spectrometer's light and generates the spectrum's output in terms of radiation intensity. The Haugh unit and yolk index [1] were then utilized to compare the mean values [3]. This study determined, that chicken eggs aged 11 to 22 days had radiation intensities between 16.43 and 48.19, yolk indices between 0.1994 and 0.2601, and Haugh unit values between 54.7345 and 67.2087. The analysis of the data revealed that elder eggs had a greater effect on egg quality. Each of the three variables (radiation intensity reflected, Haugh units, and egg yolk index) there was a direct correlation with egg quality.

Sriratana, Witsarut

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