Adam Jaycox | 20-ERD-036
Executive Summary
We propose to develop an intelligent manufacturing planner that accounts for fabrication and inspection while generating workflows and leverages data collected across manufacturing steps to generate improved process performance and component quality. This project will provide a valuable tool for streamlining manufacturing and qualification in support of missions across the National Nuclear Security Administration complex and the manufacturing sector beyond.
Publications, Presentations, and Patents
Lee, X., et al. 2020a. "Automated Detection of Part Quality During Two Photon Lithography via Deep Learning." Additive Manufacturing 36: 101444. doi: 10.1016/j.addma.2020.101444. LLNL-JRNL-807908
——— 2020b. "Two Photon Lithography Additive Manufacturing: Video Dataset of Parameter Sweep of Light Dosages, Photo-Curable Resins, and Structures." Additive Manufacturing 32: 106119. doi: 10.1016/j.dib.2020.106119. LLNL-JRNL-808859
