TY - GEN
T1 - Determination of Heat Transfer Coefficients in Natural and Forced Convection for Different Geometric Configurations, Using a Prototype Controlled by LabView Software and Arduino Hardware
AU - Rincón-Quintero, Arly Dario
AU - Lengerke-Pérez, Omar
AU - Maradey-Lazaro, Jessica Gissella
AU - Garrido-Silva, Gianina
AU - Sandoval-Rodriguez, Camilo Leonardo
AU - Osorio-Lizarazo, Jairo Andres
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - The research consists of the automation of a rotating test tunnel, through an interactive platform, with heating systems by means of electrical resistances coupled to test pieces in different geometric configurations. The working fluid is air, applying a flow controlled by a fan through the mobile duct, at different angles of inclination. Thermodynamic variables are monitored by Arduino hardware that allows information processing. The signals are sent and displayed using the platform integrated by the LabView control and design software; Within the programming with the application, the coefficients of natural and forced convection obtained experimentally, showed a deviation of less than 5% compared to the theoretical data in different conditions of heat transfer by this mechanism, taking into account that the temperature sensors have a sensitivity of 0.25 °C, giving the equipment reliability and confidence of up to 95% accuracy, with air speed in the range of 1.5 to 2.4 m/s.
AB - The research consists of the automation of a rotating test tunnel, through an interactive platform, with heating systems by means of electrical resistances coupled to test pieces in different geometric configurations. The working fluid is air, applying a flow controlled by a fan through the mobile duct, at different angles of inclination. Thermodynamic variables are monitored by Arduino hardware that allows information processing. The signals are sent and displayed using the platform integrated by the LabView control and design software; Within the programming with the application, the coefficients of natural and forced convection obtained experimentally, showed a deviation of less than 5% compared to the theoretical data in different conditions of heat transfer by this mechanism, taking into account that the temperature sensors have a sensitivity of 0.25 °C, giving the equipment reliability and confidence of up to 95% accuracy, with air speed in the range of 1.5 to 2.4 m/s.
KW - Arduino hardware
KW - Automated test tunnel
KW - External forced convection
KW - LabView software
KW - Natural convection
UR - http://www.scopus.com/inward/record.url?scp=85107297530&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-72208-1_17
DO - 10.1007/978-3-030-72208-1_17
M3 - Libros de Investigación
AN - SCOPUS:85107297530
SN - 9783030722074
T3 - Lecture Notes in Electrical Engineering
SP - 223
EP - 237
BT - Recent Advances in Electrical Engineering, Electronics and Energy - Proceedings of the CIT 2020
A2 - Botto Tobar, Miguel
A2 - Cruz, Henry
A2 - Díaz Cadena, Angela
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 26 October 2020 through 30 October 2020
ER -