Gilvan César de Oliveira , Matheus Pereira Porto , Rafael Augusto Magalhães Ferreira
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引用次数: 0
Abstract
Current thermocouple calibration standards identify primary sources of uncertainty, but often lack systematic methodologies for their evaluation. As a result, practitioners frequently rely on generic normative references, which can compromise metrological quality and increase measurement uncertainty. This study develops and validates an experimental setup for assessing calibration uncertainty components related to the thermoelectric inhomogeneity of flexible thermocouple wires. The system features adjustable temperature gradients and a precision movement mechanism, comprising inclined metallic clamps mounted on linear rails, driven by stepper motors, and controlled via an Arduino board. A uniform wire displacement is ensured by an aluminum insert within a metrology well-characterized by known axial thermal homogeneity. The inhomogeneity scanner was validated using tests that simulate artificially aged segments ranging from 15 mm to 400 mm in type T flexible wires, with gauges from 24 AWG to 30 AWG. The results confirmed the system’s ability to detect and quantify thermoelectric inhomogeneity, even under varying artificial aging conditions. Furthermore, the experimentally determined uncertainty values were compared with estimates from the EURAMET Calibration Guide No. 8, demonstrating the robustness and reliability of the proposed approach. This solution provides a cost-effective and easily implementable alternative for calibrating new and used thermocouple wires, ensuring compliance with normative requirements while enhancing metrological quality in temperature measurements.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.