Independent Researcher, Boston, MA, USA.
International Journal of Science and Research Archive, 2026, 18(02), 801-806
Article DOI: 10.30574/ijsra.2026.18.2.0322
Received on 11 January 2026; revised on 17 February 2026; accepted on 20 February 2026
Modeling fully developed transport in particle-filled channels often requires extended computational domains to eliminate entrance effects. This study presents a pressure-gradient-based periodic approach that reproduces stabilized hydrodynamic and thermal behavior using a single representative unit. A constant pressure difference is imposed across periodic boundaries to sustain incompressible laminar flow while maintaining Reynolds number control. Thermal periodicity is enforced through an axial gradient decomposition, allowing cross-sectional temperature fields to repeat spatially. Finite element simulations were performed under steady conjugate heat transfer conditions. Results from a 25 mm extended channel were compared with those from a reduced periodic domain. Once flow stabilization occurred in the long channel, velocity and temperature distributions matched the periodic solution within numerical tolerance. The reduced model decreased degrees of freedom and computational time by approximately 80% while preserving physical consistency. The formulation provides an efficient framework for repeated parametric studies of packed-bed microsystems.
Periodic boundary conditions; Conjugate heat transfer; Packed bed; Laminar flow; Fully developed flow; Heat exchangers; Pressure drop; Non-isothermal flow
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Nishith Kumar Reddy Gorla and Robinson Lawrance. Periodic Boundary Condition Implementation and Computational Validation for Fully Developed Conjugate Heat Transfer in Packed Bed Microchannels. International Journal of Science and Research Archive, 2026, 18(02), 801-806. Article DOI: https://doi.org/10.30574/ijsra.2026.18.2.0322.
Copyright © 2026 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0







