Testing a Calibration Method for Temperature Sensors in Different Working Fluids

Abstract

Temperature is one of the crucial parameters in every aspect of life; therefore, it is essential to be able to measure it accurately. Temperature data acquisition utilizing a K-type thermocouple and MAX6675 module as cold junction compensation is being increasingly used by researchers because of its availability and relative ease of use. Ktype thermocouple and MAX6675 can be used as valid data acquisition if the sensors are properly calibrated. This research proposes a calibration method for K-type thermocouple and MAX6675 sensors based on Arduino microprocessor with DS18B20 thermistor as the reference, which has been previously calibrated with the ASTM-117C thermometer. Calibration was performed at ambient conditions utilizing the energy from the environment where four K-type thermocouple and MAX6675 sensors were calibrated alongside two DS18B20 sensors in ambient water for 24 hours. To increase the accuracy of the K-type thermocouple and MAX6675 sensors, simple mathematical methods were used in Arduino coding, thereby providing automatically calibrated values. After calibration using the proposed method, the sensors then were used in reading temperatures of ambient air and water. The result of this study is simple methods to improve the accuracy of K-type thermocouples and MAX6675 sensors to be used for reading temperature values in different working fluids using Arduino Microprocessor. The error value before calibration was 4.9% compared to 0.42% and 0.61% after calibration in ambient-water and ambient-air respectively.

Design and Build a Ventalitor Tester With PIP and PIF Waveform Displays As Validation (PIP)

“…Tomy Abuzairi et al, conducted a study on the manufacture of an accessible ventilator tester so that ventilator checks can be carried out to maintain the accuracy of the device. Researchers expect further research on certain sensors so that the design of the Low Cost Ventilator Tester can be used accurately [17] [18]. The weakness of the research lies in the fact that previous studies did not analyze the use of Peak Inspiratory Flow (PIF) as a validation parameter for the accuracy of ventilator devices.…”

Denoising MAX6675 reading using Kalman filter and factorial design

“…The same value of high and low level, respectively 0.9 and 0.1, was selected for each variable, as conservative estimates which fall within the range of process noise value, 0 to 1, but not the exact 0 or 1 because mostly we don't really know the actual state of the system during observation. Although the uncertainty of K-type thermocouple mounted on MAX6675 sensor based on previous study was between 0.22 ºC to 0.26 ºC [21], the sensor uncertainty in this study was set to 0.1 and 0.9 to see the effect of the unstandardized values of measurement error to the filter results.…”

“…This paper aims to assist the tuning process of KF based on two-level factorial design to be applied in low-cost temperature-acquisition using Arduino and MAX6675 module. Recently, MAX6675 has become more common to be used as cold-junction compensation for K-type thermocouple [2], [21]- [23]. Yet the performance evaluation of the sensor has not been reported.…”

Calibration of Arduino-based Temperature Sensors for Parabolic Solar Collectors with Phase Change Material

“…Analisa Noise filtering sensor thermocouple type K adalah serangkaian proses yang dilakukan untuk menghilangkan fluktuasi yang terkandung dengan data yang diperoleh dari infrastruktur atau pembacaan data [18]. Dimana fluktuasi pembacaan nilai sensor semakin jauh dengan aktual maka fluktuasi sensor semakin besar dan jika fluktuasi sensor mendekati pembacaan alat ukur aktual maka proses kalibrasi sensor temperatur berhasil dilakukan [19].…”