Rapid + tct

We propose a new approach to perform slicing and hatching based on deep learning build processor technology. The algorithms are trained leveraging artificial neural network leveraging measured and physics-based data. The technology is leveraging cloud compute capability to achieve higher convergence and minimize error iteratively. The technology is demonstrated on complex heat exchanger technology that requires thin wall repeatability and consistency. We demonstrate stable powder bed fusion process by measuring the quality of the structure.