文献类型：期刊文献

英文题名：Multiobjective optimization of 3D printed structured catalysts and reactors for high-efficiency vehicular methanol steam reforming

作者：Li, Chuandong[1];Yu, Xinhai[1];Yu, Wei[2];Li, Bo[3];Tu, Shan-Tung[1]

机构：[1]East China Univ Sci & Technol, Sch Mech & Power Engn, Key Lab Pressure Syst & Safety, MOE, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Sch Math, Shanghai 200237, Peoples R China;[3]East China Univ Sci & Technol, Addit Mfg & Intelligent Equipment Res Inst, Sch Mech & Power Engn, Shanghai 200237, Peoples R China

年份：2025

卷号：168

外文期刊名：INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

收录：;EI(收录号：20253419043453);WOS:【SCI-EXPANDED(收录号:WOS:001570934700004)】；

基金：This study was financially supported by National Natural Science Foundation of China (Contract No. 22393954).

语种：英文

外文关键词：Triply periodic minimal surface (TPMS); Structural catalysts and reactors; Methanol steam reforming; 3D printing; NSGA-II; CFD simulations; Triply periodic minimal surface (TPMS); Structural catalysts and reactors; Methanol steam reforming; 3D printing; NSGA-II; CFD simulations

摘要：3D Printed structured catalysts and reactors (SCRs) for vehicular methanol steam reforming (MSR) have garnered widespread attention due to their large surface area-to-volume ratio, high porosity, and excellent mechanical properties. However, there is an absence of multi-objective optimization of TPMS structural parameters aimed at enhancing the catalytic performance of 3D-printed dealloyed TPMS SCRs. In this study, a controllable-structure hybrid triply periodic minimal surface (H-TPMS) SCR for vehicular MSR with various targeting requirements was developed using 3D printing. Multiobjective optimization was conducted on the hybrid mixing ratio (7G, 7D, 7P) of three typical TPMS structures (Gyroid, Schwarz-D, and P), cell size Ta and volume density Tcof H-TPMS using multioutput Gaussian processes (MOGPs) combined with NSGA-II. The results indicated a positive correlation between methanol conversion and CO selectivity in H-TPMSs. With the same Ta and Tcparameters, the uniform H-TPMS showed greater methanol conversion and CO selectivity than the other structures. Although the Schwarz-P-dominated H-TPMS had a lower methanol conversion, it exhibited an excellent low pressure drop. With importance weights of 0.5, 0.3, and 0.2 for the three performance metrics, the global optimal solution in the Pareto front had a conversion rate of 97.8 %, CO selectivity of 1.78 %, and a pressure drop of 14.6 Pa. The corresponding geometric parameters of the H-TPMS [7G, 7D, 7P, Ta, Tcare 0.43, 0.4, 3.2, 40.1], exhibiting a uniform structure. CFD simulations demonstrated that the intricate helical flow paths in hybrid structures promote gas transport and diffusion. Experimental validation showed that the CFD simulations and the established MOGP model had an accuracy within +/- 5 %. This CFD data-driven rapid modeling and optimization strategy provides a reliable design basis for the development of TPMS SCRs.