西南交通大学学报2026，Vol.61Issue(3)：673-695,23.DOI:10.3969/j.issn.0258-2724.20260059
基于人工智能的4D打印研究现状与展望
Current Research Status and Perspectives of Artificial Intelligence-Based 4D Printing
摘要
Abstract
4D printing is an innovative technology integrating additive manufacturing with smart materials.Under specific external stimuli,the printed materials can achieve autonomous deformation,which has great application potential in fields such as biomedicine and soft robotics.Its core goal is to realize the dynamic adaptation of structure and function.However,the technology currently faces problems such as poor response synergy of printed materials,difficulty in predicting deformation behavior,high computational costs of structural design,and non-uniqueness of inverse design results.Artificial intelligence provides key support for solving these interdisciplinary complex problems and is the core driving force to promote the intelligent development of 4D printing.The current application status of artificial intelligence in 4D printing was systematically reviewed.The applications of machine learning methods in 4D printing materials,processes,and the forward and inverse designs of structures were emphatically elaborated.The advantages and application potentials of neuro-symbolic artificial intelligence in 4D printing were analyzed,and the practical engineering applications of artificial intelligence-driven 4D printing were summarized.Finally,the remaining challenges in applying artificial intelligence to 4D printing,such as insufficient interpretability,weak generalization ability,and inadequate research on structural fatigue and functional fatigue,were summarized,and future research directions were prospected.关键词
增材制造/4D打印/机器学习/神经符号人工智能/逆向设计Key words
additive manufacturing/4D printing/machine learning/neuro-symbolic artificial intelligence/inverse design分类
数理科学引用本文复制引用
康国政,陈开卷,王骏烨..基于人工智能的4D打印研究现状与展望[J].西南交通大学学报,2026,61(3):673-695,23.基金项目
国家自然科学基金项目(12302087) （12302087）
