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A three-dimensional triangular vision-based contouring error detection system and method for machine tools

Release Time:2019-03-11  Hits:

Indexed by: Journal Papers

Date of Publication: 2017-10-01

Journal: PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY

Included Journals: EI、SCIE、Scopus

Volume: 50

Page Number: 85-98

ISSN: 0141-6359

Key Words: Machine tools; Contouring error; Machine tool accuracy; Triangular vision; Image analysis; 3D measurement

Abstract: Contouring error detection for machine tools can be used to effectively evaluate their dynamic performances. A triangular vision-based contouring error detection system and method is proposed in this paper, realizing the three-dimensional error measurement of an arbitrary trajectory in conditions of a high feed rate and wide motion range. First, a high-precision measurement fixture, which consists of high-precision circular coded markers and a highly uniform light source, is designed to accurately characterize the motion trajectory of a machine tool and realize the high-quality collection of an image sequence. Then, to improve the contouring error detection accuracy, a coded marker decoding and center location method for the automatic recognition and high-precision center positioning of the circular coded markers are applied. Using image preprocessing and matching, the markers' three-dimensional coordinates in the camera coordinate system can be constructed. Moreover a data transformation method induced by the orthogonal motion of machine tools is proposed to obtain the three-dimensional trajectory in the machine tool coordinate frame and the contouring error can be calculated. Finally, a three-dimensional contouring error detection study of an equiangular spiral interpolation at different feed rates is performed in the laboratory. It is shown that the average contouring error for a feed rate of 1000 min/min is about 3 mu m, which verifies the vision measurement accuracy and feasibility. (C) 2017 Elsevier Inc. All rights reserved.

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