17 May 2012 High-precision automatic online measurement system of engine block top surface holes
Yongqiang Shi, Changku Sun, Yukun Ma, Hongxu Duan, Peng Wang
Author Affiliations +
Funded by: National Science & Technology Specific Project, Major Science and Technology
Abstract
The measurement of holes in the engine block top surface determines the general coupling effect of the engine. All of these holes are strictly restricted by the requirements of the dimensional tolerance and the geometrical tolerance, which determines the final engine quality. At present, these holes are measured mostly by the coordinate measuring machine (CMM) in the production line, and meeting the industry demands of automation, rapidity, and online testing with the method is difficult. A new rapid solution measuring the holes in the engine block top surface is proposed, which is based on the combination of multiple visual sensors. The flexible location method of the block is designed, and the global data fusion model based on multiple visual sensors is studied. Finally, the unified correction model of the lens distortion and the system inclination is proposed, and a revised system model with more precision is researched. The CMM measures the holes sizes and the spatial relationship between holes, and the data obtained are substituted into the global data fusion model to complete the system on-site rapid calibration. The experimental results show that the scheme is feasible. The measurement system can meet the production line needs of intelligence, rapidity, and high precision.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
Yongqiang Shi, Changku Sun, Yukun Ma, Hongxu Duan, and Peng Wang "High-precision automatic online measurement system of engine block top surface holes," Optical Engineering 51(5), 053604 (17 May 2012). https://doi.org/10.1117/1.OE.51.5.053604
Published: 17 May 2012
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Data modeling

Calibration

Distortion

Imaging systems

Data fusion

Sensors

Cameras

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