点击次数：

所属单位：机电学院

发表刊物：Chin J Aeronaut

摘要：Marking arbitrary three-dimensional (3D) target curves on given objects with curved surface is required in many industrial fields, such as fabric prepreg placement in composite material part fabrication, product assembly, surface painting for decoration, etc. A shortcut to the solution of this intractable problem is proposed by utilizing a galvanometric laser scanner (GLS) with the aid of a camera. Without using the existing tedious GLS calibration procedures, the proposed method directly establishes a mapping between the 3D coordinates of the laser spots on the object surface and the control voltages of the scanner. A single-hidden layer feedforward neural network (SLFN) is employed to model the mapping. By projecting a dense grid of laser spots on the object to be marked and simultaneously taking only one image, the SLFN model is trained in minutes via a linear solving mechanism. Experiments demonstrate that the trained SLFN model has a good generalization performance for marking 3D target curves. The 3D laser marking errors on experimental objects are less than 0.5 mm. The proposed method is especially suitable for on-site use and can be conveniently extended to multiple GLSs for marking large complex objects. © 2018 Chinese Society of Aeronautics and Astronautics

ISSN号：1000-9361

是否译文：否

发表时间：2019-06-01

合写作者：TU, Junchao,WANG, Mingang

通讯作者：张丽艳