Examining Airflow Velocity Distribution Measurement in Large Ducts: Introducing an Innovative Automatic Positioning-Based Concept for Multipoint Single Probe Hot-Wire Anemometry

Abstract

Abstract This paper presents a case study on the application of an automated multipoint single probe hot-wire anemometry in the context of a stenter machine, which is used for textile processing. The study focuses on capturing the airflow velocity distribution within the stenter machine ducts to ensure consistent and uniform drying of fabrics. The research explores the effectiveness and practicality of the automated multipoint single probe hot-wire anemometry in capturing airflow velocity profiles within the ducts. The article discusses various traditional techniques used for airflow velocity measurement, such as Pitot Tube Traverse, Hot-Wire Anemometry, Ultrasonic Anemometry, Laser Doppler Anemometry, Particle Image Velocimetry, Thermal Imaging, Constant Temperature Anemometry, and Volumetric Velocimetry. However, recent advancements in automation and sensing technologies have paved the way for more sophisticated and efficient measurement methods. The case study introduces the concept of automated multipoint single probe hot-wire anemometry and its potential in steady-state conditions. The methodology includes a detailed presentation of the experimental setup, including device configuration and calibration methods. The obtained results are presented and discussed, followed by an evaluation of the measurement uncertainty associated with airflow and mass flow measurements. The experimental setup utilizes a combination of hardware components controlled by an Arduino microcontroller for precise positioning of the hot-wire anemometer probe. The study also discusses the characteristics of the hot-wire anemometer used in the experiment. The data acquisition system involves an Arduino Mega 2560 microcontroller board and customized code for precise positioning of the anemometer probe at multiple locations. The acquired data is recorded using PLX-DAQ, an Excel add-in, and further analyzed using OriginPro software. The article emphasizes the importance of sensor calibration and discusses the calibration by comparison method used in the experiment. The findings of the case study contribute to the broader understanding of airflow dynamics in industrial duct systems and highlight the potential benefits of using automated multipoint single probe hot-wire anemometry for enhancing process efficiency in textile processing.