Abstract
The assembly process cannot meet the increasing demands with the conventional method. To obtain an optimal assembly performance, the machined surface should be reconstructed, and further analysis should be conducted to provide a direct guidance for the assembling process. Surface topography can be represented by a sufficient number of points; however, the measurement of dense points would be time-consuming. In this study, the measured points are arranged in a nonuniform manner, and processed by interpolation for the reconstruction of the actual surface and the prediction of the assembly performance. Point clouds processed by 4 interpolation methods were used to verify the proposed method. The sampling strategy and data processing was concluded to be accurate; measurement time was significantly decreased compared to the dense points. It is proposed that the three indexes should be taken into consideration when the method is used to process the measurement data of different machined surfaces.
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Acknowledgments
The authors would like to acknowledge the support of the National Natural Science Foundation (U1937603 and U1737207), and the Ministry of Industry and Information Technology (JSZL2016204B102) of the People’s Republic of China.
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Recommended by Editor Hyung Wook Park
Huan Guo received the M.S. degree in Material Processing Engineering from Yanshan University in 2012. He was a Finite Element Analysis Engineer in Shenzhen. He is pursuing the Ph.D. degree in Aerospace Science and Technology in Beijing Institute of Technology, Beijing, People’s Republic of China (e]ghbj2016@qq.com). His research interests include error surface establishment, 3D visualization, finite element method, CMM measurement, etc.
Muzheng Xiao received the M.S. degree in Mechanical Engineering from Beijing Institute of Technology and Ph.D. degree in Engineering from University of Tokyo in Japan in 2012. He is with the School of Mechanical Engineering, Beijing Institute of Technology. He is currently an Associate Professor. He is a member of Chinese Mechanical Engineering Society. His research fields include precision measurement technology, precision assembly research and hybrid additive manufacturing technology, etc.
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Guo, H., Zhang, Z., Xiao, M. et al. Measurement and data processing method of machined surface for assembly performance prediction. J Mech Sci Technol 35, 1689–1698 (2021). https://doi.org/10.1007/s12206-021-0332-7
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DOI: https://doi.org/10.1007/s12206-021-0332-7