Vat photopolymerization (VPP) is a foundational additive manufacturing technology that fabricates objects layer by layer through photoinduced polymerization. Among its variants, mask projection vat photopolymerization (MP-VPP) has attracted considerable attention for combining high resolution and throughput with relatively low cost by utilizing dynamic masks. Despite these advantages, key process parameters such as exposure time and cure depth are often determined empirically, limiting reproducibility and scalability. To overcome this gap, we emphasize the importance of physics-based theoretical models that reveal the fundamental curing mechanisms, thereby supporting accurate process control and improved printing fidelity. This review introduces a unified spatiotemporal modeling framework for MP-VPP, grounded in first-principles physics and progressively incorporating temporal and spatial effects. Existing models are systematically categorized into two domains: (i) temporal-determination models, which describe curing kinetics, energy accumulation, and depth growth, and (ii) spatial-determination models, which address light propagation, optical interactions, and in-plane curing fidelity. For each category, recent advances are synthesized and their implications for optimization are discussed. The review concludes by outlining emerging challenges and research opportunities. By integrating temporal and spatial perspectives, this work strengthens the theoretical foundation of MP-VPP and facilitates its development toward more precise, reliable, and efficient manufacturing.
扫码关注我们
求助内容:
应助结果提醒方式:
