thought: ideally i would find the actual rocket design research, or research it cited
there are kind of two failure points with printing: failure of the print, and failure of the part a strong design system would integrate both, such that design of the part is i informed by strengths of the printing process. the concept crosses physics simulation, materials properties, computer vision, defect detection if we narrow in on defect detection, which i recently glanced at, could we imagine stretching this to a simulation? how might a computer learn to simulate a 3d printer? this is something i’ve avoided learning about. for each step, it could be a big slow trained algorithm, or it could be a manually designed system, or it could be a hybrid where an AI builds a manually designed system for example: maybe it would be quite helpful to consider a system that builds a simulation of a mechanism based on observation of it. this has overlap with existing motion NeRF research, but is simpler because it would output a simplified vector description rather than a visual simulation.
