整体式催化剂芯片的仿生设计与优化

Bionic design and optimization for monolithic catalyst chip

借鉴生物体内循环系统的原理和组织结构特征,设计了一种具有进料、出料仿生微通道网络分布的整体式催化剂芯片。对仿生通道网络构型进行了CFD模拟研究和优化计算。模拟发现,在保证相同停留时间条件下,相比传统床层式催化剂芯片,具有仿生微通道网络分布的整体式催化剂芯片流动阻力极大降低。经过构型优化的仿生通道结构芯片返混小,平推效果较好。稳定性分析表明,仿生通道结构芯片还具有较好的抗干扰性,能够有效地降低流道短路或断路等不确定因素带来的不良影响,是一种理想的催化剂芯片构型。

According to principles and features of biological circulatory system,a novel monolithic catalyst chip with bionic micro-channel network configuration was proposed.It included a multi-stage and multi-function network with separated inflow and outflow systems.A series of high-resolution CFD simulations and optimizations were performed to investigate the characteristics of the bionic configuration.Compared with conventional fixed-bed catalyst chip,flow resistance was greatly reduced by using bionic micro-channel network at the same residence time.Back-mixing was lowered in the optimal bionic network.Strong robustness was verified for the bionic micro-channel network configuration,which would reduce worse effects induced by uncertain factors,such as short passing or blocking in micro-channel network.This kind of bionic network is an ideal configuration fit for monolithic catalyst chip.