Abstract Scope |
The wire arc additive manufacturing (WAAM) process is a fast, cost-effective, and easy to implement solution for near net shape part production. In WAAM, an electric arc is used to deposit a wire feedstock to create parts, layer by layer. Before, during, and after the layer deposition, knowing the transient temperature distribution, also known as the thermal history, supports our understanding of the as-printed material characteristics. In the current work, we develop an approach to model the thermal history of a part utilizing spectral graph theory which reduces the computational cost when compared with commercial finite element analysis (FEA) software. The predicted thermal history is compared with experimental data collected during the WAAM deposition of thin walls. |