In situ three-dimensional laser machining system integrating in situ measurement, reconstruction, parameterization, and
- PDF / 3,665,080 Bytes
- 12 Pages / 595.276 x 790.866 pts Page_size
- 23 Downloads / 151 Views
ORIGINAL ARTICLE
In situ three-dimensional laser machining system integrating in situ measurement, reconstruction, parameterization, and texture mapping Xiao Li 1,2 & Xiaoying Ren 1,2 & Xuesong Mei 1,2 & Bin Liu 1,2 & Wenjun Wang 1,2 & Xiaodong Wang 1,2 Received: 11 January 2020 / Accepted: 28 August 2020 / Published online: 2 October 2020 # Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract This paper proposes a novel in situ three-dimensional (3D) laser machining system that combines 3D projection algorithms with in situ measurement and 3D modeling. This system forms a complete “scanning-modeling-projection-machining” integrated processing system for rapid pattern machining on the free-form surfaces. In situ measurement was conducted by self-scanning of the 3D galvanometer scanner. A high-efficiency Delaunay triangulation algorithm was employed for the 3D reconstruction to generate a quality-controlled 3D model. The Least-Squares Conformal Mapping (LSCM) and As-Rigid-As-Possible (ARAP) algorithms were employed for model parameterization. Local parameterization and bitmap vectorization methods were proposed to improve the accuracy and speed of parameterization and texture mapping. In situ machining software was developed, and the algorithms were verified by in situ machining experiments. The LSCM algorithm achieves fast processing speed but suffers from a large distortion if the model is complex. The ARAP algorithm can further ensure the accuracy of the parameterization through iterative calculation. The developed model can better guarantee the model quality for parameterization. The 3D projection algorithm can transfer the two-dimensional (2D) pattern on a 3D surface, and the in situ method eliminates the necessity for assembly and clamping of parts. The local parameterization and bitmap vectorization methods improve both the accuracy and efficiency of 3D projections. Therefore, the proposed in situ machining system has practical application value for the rapid processing of patterns on curved surfaces. Keywords In situ 3D laser machining . In situ measurement . 3D reconstruction . Parameterization . Texture mapping
1 Introduction With the continuing development of the modern manufacturing industry, the application of laser processing technology needs to be expanded to meet the growing demand for threedimensional (3D) processing. A galvanometer scanner can quickly and accurately change the laser focus position and is Electronic supplementary material The online version of this article (https://doi.org/10.1007/s00170-020-06016-z) contains supplementary material, which is available to authorized users. * Bin Liu [email protected] 1
State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China
2
Shaanxi Key Laboratory of Intelligent Robots, Xi’an Jiaotong University, Xi’an 710049, China
therefore widely used in laser drilling [1, 2], welding [3–6], cutting [7–9], microstructure processing [10, 11], and texture marking [12, 13]. A dynamic focusing
Data Loading...
