【摘要】 随着增材制造向系统化与智能化方向持续演进，跨环节信息割裂、控制机制离散以及性能响应不可预测等问题日益凸显。端到端增材制造以结构—工艺—性能联动为核心，通过数字化手段打通传统制造中的孤立流程，实现多环节协同与过程闭环控制，为构建高性能、高一致性复杂构件提供关键支撑。该体系具有多物理场强耦合、参数空间高维、多目标约束与状态动态演化等特征，对全过程的信息感知、建模优化与控制反馈提出了更高要求。围绕增材制造从设计到制造的系统流程，总结了模拟与仿真驱动的结构设计、工艺建模与制造优化、过程监测与反馈控制、系统集成与数据协同等方面的研究进展，重点归纳了主流建模策略、感知与调控方法以及集成框架在提升制造过程稳定性和一致性方面的应用实践，进一步结合材料防护等复杂服役需求，分析了系统集成能力、状态识别精度及性能导向控制机制等关键瓶颈，展望了构建具备实时感知、智能响应与闭环控制能力的增材制造系统的发展趋势。更多还原

【Abstract】 As additive manufacturing(AM) continues to evolve towards system integration and intelligent control, issues such as cross-stage information discontinuity, fragmented control mechanisms, and unpredictable performance responses have become increasingly prominent. End-to-end additive manufacturing, centered on the interconnection of structure, process, and performance, leverages digital technologies to bridge traditionally isolated stages. This integration enables multi-stage coordination and closed-loop process control, thereby providing critical support for the fabrication of high-performance, high-consistency complex components. This system featured strong multiphysics coupling, high-dimensional parameter spaces, multi-objective constraints, and dynamic state evolution, and put forward higher requirements for information perception, modeling optimization, and control feedback throughout the entire process. Focusing on the systematic workflow from design to manufacturing in additive manufacturing, this article reviewed research advances in simulation-driven structural design, process modeling and manufacturing optimization, in-process monitoring and feedback control, as well as system integration and data collaboration. Specifically, the application practices of mainstream modeling strategies, perception and control methods, and integrated frameworks in enhancing manufacturing process stability and consistency were summarized. Furthermore, combining complex service requirements such as material protection, the study analyzed key challenges in system integration capability, state recognition accuracy, and performance-oriented control mechanisms, and prospected the development trends for constructing additive manufacturing systems with real-time sensing, intelligent response, and closed-loop control capabilities.更多还原