Abstract

In this study, the heat transfer behavior of a conical spouted bed column was imaged for the first time across its entire cross-sectional area and at multiple axial heights. To achieve this, a custom-built quantitative imaging approach was developed. This method combined FluxTeq heat flux sensors with an Arduino-based data acquisition system. The experimental setup enabled instantaneous, spatially resolved measurements of surface temperature, heat flux, and local heat transfer coefficients (LHTC) under various operating conditions. Measurements at different radial locations, angles, and heights provided a comprehensive view of heat transfer behavior throughout the column. The obtained cross-sectional images show that the magnitude of LHTC increases with both axial height and superficial gas velocity. Gains reached up to 25 % between the lowest and highest velocities tested. Time-resolved data reveal greater fluctuations in the central spout region, especially at higher axial positions (H/D = 2.1). These fluctuations promote vigorous convective exchange and reduce temperature non-uniformity. Persistent radial asymmetry was observed, linked to distinct hydrodynamic behaviors in the spout, annulus, and fountain zones. Increasing gas velocities further reduced the solids fraction in the reactor core, affecting heat flux and temperature distribution. This experiment effectively captures transient and spatial characteristics often missed by conventional methods. The resulting benchmark data support CFD model validation, guide reactor scale-up, and improve thermal management in industrial gas–solid systems.

Department(s)

Chemical and Biochemical Engineering

Publication Status

Full Text Access

Keywords and Phrases

Axial and radial variation; Cross-sectional imaging; Heat transfer coefficient distribution; Spouted bed column

International Standard Serial Number (ISSN)

0142-727X

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2026 Elsevier, All rights reserved.

Publication Date

01 Jan 2026

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