Bibliographic Details
| Title: |
Entropy production and dissipation mechanisms in TPMS-structured beds for adsorption-based desalination and cooling systems. |
| Authors: |
Li, Mingliang1 (AUTHOR), Long, Rui1 (AUTHOR) r_long@hust.edu.cn, Liu, Zhichun1 (AUTHOR), Liu, Wei1 (AUTHOR) |
| Source: |
International Journal of Heat & Mass Transfer. Jun2026, Vol. 260, pN.PAG-N.PAG. 1p. |
| Subjects: |
Energy dissipation, Water purification adsorption, Mathematical optimization, Porosity, Cooling systems, Entropy, Nonequilibrium thermodynamics |
| Abstract: |
• Second law analysis is applied to quantitatively relate irreversibility with system throughput. • Triply periodic minimal surface structured beds with varied porosities are evaluated. • Volumetric performance is optimized when maximizing irreversible features. • The optimal bed porosity remains consistent and strong structural portability. Structural design and optimization are essential for improving the performance of adsorption-based desalination and cooling systems. Moving beyond empirical approaches, the study applies second law analysis to the transient adsorption bed which is the primary source of irreversible loss, quantitatively relating dissipative characteristics with overall system throughput in specific and volumetric terms. The developed formulation delineates entropy generation into irreversibility arising from adsorption kinetics, viscous flow, and heat transfer, which is subsequently used to evaluate triply periodic minimal surface structured beds and enhance system performance. Three-dimensional numerical simulations compare various architectures with differing skeleton and bed porosities, revealing competitive mechanisms under varied conditions. Results show that irreversible features effectively clarify the relationship between complex transport phenomena and overall production. Volumetric performance is optimized when maximizing adsorption irreversibility and fluid flow irreversibility within the adsorbent, and heat transfer irreversibility inside the skeleton. Furthermore, machine learning and genetic algorithms are employed to optimize entropy generation, dissipation, and working capacity. The Diamond-type structure achieves the highest total production, while the optimal bed porosity remains consistent across diverse architectures, indicating strong structural portability. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |