Abstract
Customized mechanical products based on orders have characteristics such as small batch sizes and multi-variety in production, which results in less availability of sample data related to assembly. Therefore, a problem of prediction of assembly precision exists due to the small number of samples. This paper studies the prediction method of mechanical product assembly precision based on the fusion of measured samples and feature fidelity samples. First, an assembly-feature fidelity sample (AFFS) generation method based on measured data is proposed, which expands the amount of mechanical product assembly feature samples through the meta-model concept. Then, a fusion method of measured samples and AFFS of mechanical products based on a double-layer learning network is proposed, which improves the under-fitting of a few samples and enhances the generalization ability of the model. Finally, case studies of gear-shaft assembly structure that are common in mechanical products, such as engines, gearboxes, and traction machines, were examined to verify the method we proposed and compare them with a tolerance analysis method and a machine learning method. The average errors of the assembly precision predicted by the method in this paper are 1.2% and 5.0%, respectively, which are better than the outcomes of SVR and NNs. The average errors of SVR and NNs are 3.2% and 2.8% in case 1 and 19% and 17% in case 2, respectively. The results show that the method in this paper has advantages of smaller error fluctuations and the best accuracy stability.
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The authors disclosed receipt of the following financial support for the research, authorship, and publication of this article: the National Key R&D Program of China (Grant No. 2018YFB1700700) and the National Natural Science Foundation of China (51875516).
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Appendices
Appendix 1
The corresponding Jacobian matrix JFE0 of FE0 is
The corresponding Jacobian matrixes JFE1 − JFE4 of FE1 − FE4 are
The corresponding Jacobian matrix \({J^{\prime }_{FE0}}\) of \(FE^{\prime }_0\) is
The corresponding Jacobian matrixes \({J^{\prime }_{FE1}} - {J^{\prime }_{FE4}}\) of \(FE^{\prime }_1 - FE^{\prime }_4\) are
The corresponding Jacobian matrix JFE5 of FE5 is
T1 − T4 are
\(T^{\prime }_1-T^{\prime }_4\) are
T5 is
Appendix : 2
The corresponding Jacobian matrixes JFE0 − JFE2 of FE0 − FE2 are
T0 − T2 are
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Li, H., Qiu, L., Wang, Z. et al. A prediction method of mechanical product assembly precision based on the fusion of measured samples and assembly feature fidelity samples. Int J Adv Manuf Technol 111, 2877–2890 (2020). https://doi.org/10.1007/s00170-020-06289-4
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DOI: https://doi.org/10.1007/s00170-020-06289-4