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Modeling of Systematic Errors and Precision Optimization Methods for Workpiece Clamping and Alignment System in Aeroengine Gearbox Automated Line Machining
Received date: 2023-10-10
Revised date: 2023-11-30
Accepted date: 2023-12-04
Online published: 2023-12-12
In the upgrading and automation of aeroengine gearbox assembly line, the introduction of new equipment such as zero-point positioning systems and auxiliary alignment systems has significantly improved production efficiency. However, it has also brought about an increase in systematic errors during multi-process machining. To mitigate the adverse impact of these new systematic errors on machining accuracy, this paper investigates error modeling and precision optimization methods for the alignment system under uncertainty. First, it develops an assembly deviation analysis model, considering the differences between the master and sub-discs in the zero-point positioning system. It then designs a Kolmogorov-Smirnov (K-S) test to verify the accuracy of the model, based on which, the accuracy loss patterns during multi-sub-master disc to master disc interchange processes is analyzed. Afterwards, it defines a precision loss quantification function, incorporating both output distribution deviations and tolerance violation rates. By optimizing the bases structure of the alignment system, the precision loss is reduced from 11.53% to 2.33%. Additionally, the difference in radial runout distribution caused by misalignment between machining and positioning references is reduced from 0.117 to 0.039. These improvements significantly improve the performance of the zero-point clamping and alignment system, providing essential theoretical support for the analysis and optimization of clamping and positioning precision in automated production lines.
DU Xueming , XIANG Yang , LIU Shun , JIN Sun . Modeling of Systematic Errors and Precision Optimization Methods for Workpiece Clamping and Alignment System in Aeroengine Gearbox Automated Line Machining[J]. Journal of Shanghai Jiaotong University, 2025 , 59(8) : 1156 -1168 . DOI: 10.16183/j.cnki.jsjtu.2023.511
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