9d38e6eab92b2aeb0a83b570188d5a1a-Supplemental.pdf

Neural Information Processing Systems 

Since it is time-consuming to print every extruder path we generate in the last step onareal printer,webuild asimulation system byusing Bullet [22]tohelp usgenerate fiber paths. Finally, we run the tuned simulators on the generated extruder paths. Wesplitthedatasetinto90%training(9,000paths),5%validation(500paths), and 5% testing (500 paths), and we use the Adam optimizer [54]with alearning rate of 1 10 3, a learning rate exponential decay of 0.95 per epoch, and a batch size of 1 (path). Therobothasanoriginalheight of 10 and an original width of 0.5, and its bottom is fixed. The stretch ratios are restricted to be between 0.8 and 1.2.

Similar Docs  Excel Report  more

TitleSimilaritySource
None found