**7. Future work**

The work described in this paper is a part of research project that aims at developing an intelligent closed loop feedback-controlled 3D metal printing system. The simulation framework will be used to generate training data for neural net training in addition to real life experimental results. With sufficient training data, the developed neural network can serve as a significant tool to minimize anomalies in metal additive manufacturing. These will be the foundation of the automated printing system that will choose the process parameters in order to minimize defects and deformities. This project will be a new approach in metal printing industry that will ultimately improve the quality and quantity of product.
