3D printing food flow in different extruders based on crazy and adaptive salp swarm algorithm-deep extreme learning machine improved-lattice Boltzmann method-Reference-Cited by-同舟云学术

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3D printing food flow in different extruders based on crazy and adaptive salp swarm algorithm-deep extreme learning machine improved-lattice Boltzmann method

Published:2025-02 Issue: Volume:387 Page:112318
ISSN:0260-8774
Container-title:Journal of Food Engineering
language:en
Short-container-title:Journal of Food Engineering

Author:

Wu Weiwei^ORCID,Gu Minheng,Liu Xin,Shan Zhongyi,Ding Shuang,Zhang Yanjun,Yang Wenhan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference37 articles.

1. Cascaded lattice Boltzmann modeling and simulations of three-dimensional non-Newtonian fluid flows?;Adam;Comput. Phys. Commun.,2021

2. Modeling soot filter regeneration process through surface-reactive flow in porous media using iterative lattice Boltzmann method;Alamian;Energy,2024

3. Power-law fluid flow in driven enclosures with undulation using MRT-lattice Boltzmann method;Bisht;Comput. Math. Appl.,2020

4. Experimental and LBM simulation study on the effect of bubble merging on saturated pool boiling in pure water;Chen;Experimental and Computational Multiphase Flow,2024

5. A viscosity adaption method for Lattice Boltzmann simulations;Conrad;J. Comput. Phys.,2014

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