Self-Calibrating Infrared Thermometer for Low-Temperature Measurement

2011 ◽  
Vol 60 (6) ◽  
pp. 2047-2052 ◽  
Author(s):  
Tim Barry ◽  
Gary Fuller ◽  
Khaled Hayatleh ◽  
John Lidgey
1997 ◽  
Author(s):  
Ward Small IV ◽  
Peter M. Celliers ◽  
Luiz B. Da Silva ◽  
Dennis L. Matthews ◽  
Barbara A. Soltz

2020 ◽  
Vol 315 ◽  
pp. 112341
Author(s):  
Zhaojun Liu ◽  
Bian Tian ◽  
Xu Fan ◽  
Jiangjiang Liu ◽  
Zhongkai Zhang ◽  
...  

1991 ◽  
Vol 62 (11) ◽  
pp. 2792-2794 ◽  
Author(s):  
M. V. S. Lakshmi ◽  
K. Ramkumar ◽  
M. Satyam

2006 ◽  
Vol 58 (4) ◽  
pp. 503-505 ◽  
Author(s):  
G.G.S. Wiedemann ◽  
M.C. Scalon ◽  
G. Paludo ◽  
I.O. Silva ◽  
V. Boere

A clinical thermometer of infrared rays was used twice to record consecutively the temperature of the tympanic membrane in each ear and in the anus of 53 dogs. Temperatures did not differ significantly between organs, and were strongly correlated. The anal temperature measurement with an infrared thermometer in dogs is feasible and trustworthy, as well as the thermal checking of tympanic temperature.


Author(s):  
Agus Sudianto ◽  
Zamberi Jamaludin ◽  
Azrul Azwan Abdul Rahman ◽  
Sentot Novianto ◽  
Fajar Muharrom

Manufacturing process of metal part requires real-time temperature monitoring capability to ensure high surface integrity is upheld throughout the machining process. A smart temperature measurement and monitoring system for manufacturing process of metal parts is necessary to meet quality and productivity requirements. A smart temperature measurement can be applied in machining processes of conventional, non-conventional and computer numerical control (CNC) machines. Currently, an infrared fusion based thermometer Fluke Ti400 was employed for temperature measurement in a machining process. However, measured temperature in the form of data list with adjustable time range setting is not automatically linked to the computer for continuous monitoring and data analysis purposes. For this reason, a smart temperature measurement system was developed for a CNC milling operation on aluminum alloy (AA6041) using a MLX90614 infrared thermometer sensor operated by Arduino. The system enables data linkages with the computer because MLX90614 is compatible and linked to Microsoft Exel via the Arduino. This paper presents a work-study on the performance of this Arduino based temperature measurement system for dry milling process application. Here, the Arduino based temperature measurement system captured the workpiece temperature during machining of Aluminum Alloy (AA6041) and data were compared with the Fluke Ti400 infrared thermometer. Measurement results from both devices showed similar accuracy level with a deviation of ± 2 oC. Hence, a smart temperature measurement system was succeesfully developed expanding the scopes of current system setup.


2013 ◽  
Vol 3 (2) ◽  
pp. P10-P12 ◽  
Author(s):  
Hasung Sim ◽  
Seongil Choi ◽  
Je-Geun Park ◽  
Jaewon Song ◽  
Seungwu Han ◽  
...  

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