Additive manufacturing (AM) has emerged as a promising technique for creating complex geometries and structures with unprecedented precision. However, the mechanical properties of AM parts can be highly sensitive to process parameters, such as temperature, printing speed, and geometry. In this study, we employ peridynamic theory to simulate the multiphysic behavior of fracture mechanics in AM-induced materials. Our simulation framework PeriLab combines the effects of thermal history, polymer curing, and an energy-dependent damage model of AM parts. We investigate the impact of different manufacturing conditions on the fracture mechanics of AM materials. Specifically, we simulate the curing process, including the rate of crystallization of the polymer, to quantify the effects of thermal history on material and mechanical properties. Our results show that changes in manufacturing process parameters lead to variations in fracture toughness, crack growth rates, and failure modes. We demonstrate that peridynamic theory provides a robust framework for simulating the complex interactions between material properties, loading conditions, and process-induced damage mechanisms. By capturing these effects, our simulation framework enables the prediction of AM-induced fracture behavior under a wide range of process conditions. Our findings have significant implications for the optimization of AM processes to achieve desired mechanical properties and reliability in various applications.