中国机械工程2026，Vol.37Issue(2)：466-475,10.DOI:10.3969/j.issn.1004-132X.2026.02.021
直写成形工艺制备的功能梯度材料零件时变挤出系统建模
Modelling of Time-varying Extrusion Systems for Fabrication of FGMs Parts by Direct Ink Writing Processes
摘要
Abstract
High-precision CFD models are time-consuming,creating challenges for the frequent gradi-ent variations in FGMs part printing.Therefore,a time-varying extrusion system was established using a Bayesian regularization neural network as the prediction model.High-precision CFD simulation data sets were first obtained to train the neural network model,with input parameters including the target materials ratio,initial ratio in the chamber,total flow rate of the dual feed rate,and the adapted screw speed.The output parameters were labeled as delivery delay time and transition delay time.Then,the trained Bayes-ian regularized neural network was merged with the classical control theory approach to system description to construct the complete time-varying extrusion systems.关键词
功能梯度材料零件/直写成形工艺/计算流体动力学/贝叶斯正则化神经网络/时变挤出系统Key words
functionally graded materials(FGMs)part/direct ink writing process/computational fluid dynamics(CFD)/Bayesian regularized neural network/time-varying extrusion system分类
通用工业技术引用本文复制引用
王世杰,段国林..直写成形工艺制备的功能梯度材料零件时变挤出系统建模[J].中国机械工程,2026,37(2):466-475,10.基金项目
中央引导地方科技发展资金(216Z804G) （216Z804G）
