论文名称：Method to optimize an additively-manufactured functionally-graded lattice structure for effective liquid cooling
论文类型：期刊论文
发表刊物：ADDITIVE MANUFACTURING
收录刊物：SCIE、EI
卷号：28
页面范围：285-298
ISSN号：2214-8604
关键字：Lattice density optimization; Darcy-Forchheimer law; Brinkman-Forchheimer equation; Additive manufacturing; Thermal conduction-convection
摘要：The development of cooling devices is important for many industrial products, and the lattice structure fabricated by additive manufacturing is expected to be useful for effective liquid cooling. However, lattice density should be carefully designed for an effective arrangement of coolant flow. In this research, we optimize the lattice density distribution using a lattice structure approximation and the gradient method. Fluid flow is approximated by deriving effective properties from the Darcy-Forchheimer law and analyzing the flow according to the Brinkman-Forchheimer equation. Thermal conduction and convection are also approximated as a weakly coupled problem. We use a simple basic lattice shape composed of pillars, optimizing only its density distribution by setting the pillar diameter as the design variable. Steady-state pressure and temperature reductions are treated as multi-objective functions. Through 2D and 3D numerical studies, we discuss the validity and limitations of the proposed method. Although observable errors in accuracy exist between the results obtained from the optimization and full scale models, relative performance optimization was considered successful.
发表时间：2019-08-01