Prediction and visualization of achievable orientation tolerances for additive manufacturing

Published in Procedia CIRP, 2018

Recommended citation: H. Budinoff and S. McMains, 2018, "Prediction and visualization of achievable orientation tolerances for additive manufacturing." Procedia CIRP, 75, pp. 81-86. https://www.sciencedirect.com/science/article/pii/S2212827118304967

Abstract: In additive manufacturing, process parameters can have a large influence on the quality of the produced part, making it diffcult to understand what tolerances are actually achievable. We present a system that can rapidly analyze part geometry and predict parallelism, perpendicularity, and angularity geometric deviations for planar surfaces, based on layer thickness and build direction. Our system can analyze multiple distinct features and their corresponding tolerances and datums to identify build directions where all specified tolerances can be achieved. This tool can be used to select an optimal build direction and to analyze whether specified tolerances are manufacturable using additive manufacturing.