Traditional additive manufacturing simulation tools face scalability bottlenecks when handling parts that combine large dimensions with fine features: finite element models exceeding approximately 5 million elements become difficult to solve. PanOptimization, a U.S.-based additive manufacturing simulation software company, has developed PanX, which uses periodic adaptive and multi-grid modeling techniques to improve mesh scale and simulation capability by 100 to 1,000 times compared to traditional methods. In a case study of an aerospace spike engine, a complete part model including powder was simulated with 26 million elements/57 million nodes in 3.5 hours. PanX also incorporates loose powder and substrate into the simulation, enabling more accurate prediction of temperature fields and thermal history for large-scale prints under real-world conditions.