文献类型：期刊文献

英文题名：Structural optimization of jet plasma polymerization reactor based on response surface methodology

作者：Lin, Zeng[1,2];Chen, Xin[1];Qi, Jihao[1];Pang, Zhiwei[1];Wang, Chaoyuan[1];Qi, Qing[2];Sha, Jin[1];Bai, Zhishan[1]

机构：[1]East China Univ Sci & Technol, 130 Meilong Rd, Shanghai 200237, Peoples R China;[2]China Chem Huayi Equipment Technol Shanghai Co Ltd, 1188 Canggong Rd, Shanghai 201417, Peoples R China

年份：2025

卷号：58

期号：43

外文期刊名：JOURNAL OF PHYSICS D-APPLIED PHYSICS

收录：;EI(收录号：20254419428428);WOS:【SCI-EXPANDED(收录号:WOS:001598258700001)】；

基金：The research was sponsored by the National Science Fund for Distinguished Young Scholars, China (No. 22225804) and the National Natural Science Foundation of China, China (No. 22408101), Guizhou Provincial Science and Technology Support Program (Qiankehezhi [2025] General 091), and Natural Science Foundation of Shanghai (No. 25ZR1401085).

语种：英文

外文关键词：response surface methodology; structural optimization; plasma reactor design

摘要：Jet plasma polymerization represents a significant advancement in polymeric films, facilitating the development of novel functional materials. The study introduces a novel computational framework based on response surface methodology (RSM) for the structural optimization of continuous jet plasma polymerization reactors. A parameterized computational model integrating key geometric features of cylindrical reactors and direct-injection nozzles was developed, and three-level central composite design was employed to capture non-linear interactions, while jet flow simulations revealed the governing influence of reactor geometry on film formation outcomes. Three film formation criteria were defined as objective functions, and through a parametric sensitivity analysis, five geometric parameters were identified as critical geometric parameters. Multi-criteria optimization was then performed independently using both the multi-objective genetic algorithm (MOGA) and screening algorithms (SAs), whose results were applied to a quadratic response surface model. Comparative analysis demonstrated that MOGA outperformed SA in identifying geometric configurations that simultaneously optimize film integrity and maximize deposition rates. The findings of this study establish a validated RSM-based protocol for jet plasma polymerization reactors design, and enhances the predictability of reactor performance in the field of plasma-enhanced material fabrication.