文章基本信息

标题：Iterative Learning Control for Laser Scanning based Micro 3D Printing
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作者：Han Woong Yoo ; Christoph Johannes Kerschner ; Shingo Ito 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：15
页码：169-174
DOI：10.1016/j.ifacol.2019.11.669
语种：English
出版社：Elsevier
摘要：AbstractThis paper proposes an iterative learning control (ILC) for a micro stereo lithography (MSL) setup to enhance both the speed and the quality of 3D printing. The MSL setup is built based on a commercial confocal microscope while the scanners of both x and y axes are replaced with fast galvanometer scanners considering requirements of random trajectories in 3D printing application. With the stabilized galvanometer scanners, a frequency domain ILC is applied for a precise operation of desired 2D scanning trajectories. For fast scan trajectories up to 400 features per second of a 0.6×0.6 mm square, the RMS beam tracking error of the ILCs is reduced by a factor of 25.9 compared with a conventional feedback controllers, also significantly reducing the velocity variation. The printing results with the MSL setup also demonstrate that ILC can improve uniformity of line thickness as well as accuracy of the trajectory.
关键词：KeywordsIterative learning control3D printingMicro stereo lithography (MSL)Scanning MSLVelocity fluctuation