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

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中图分类号：TB34

DOI：10.3969/j.issn.1004-132X.2026.02.021 开放科学（资源服务）标识码（OSID）：

Modelling of Time-varying Extrusion Systems for Fabrication of FGMs Partsby Direct Ink WritingProcesses

WANG Shijie DUAN Guolin* School ofMechanical Engineering，Hebei University of Technology，Tianjin，

Abstract： High-precision CFD models are time-consuming，creating challenges for the frequent gradient 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 Bayesian regularized neural network was merged with the classical control theory approach to system description to construct the complete time-varying extrusion systems.

Key words： functionally graded materials（FGMs） part； direct ink writing process；computational fluid dynamics（CFD）； Bayesian regularized neural network; time-varying extrusion system

0 引言

功能梯度材料（functionallygradedmaterials，FGMs作为一种具有空间上材料组分或结构梯度变化的新型材料，相较于传统复合层压材料能够有效地改善界面应力问题[1]。（剩余16307字）