Research on Process Similarity Matching Method for Aircraft Skin Parts
Wenxin Qian
Huazhong University of Science and Technology, State Key Laboratory for Material Processing and Die & Mould Technology
Junwei Long
Huazhong University of Science and Technology, State Key Laboratory for Material Processing and Die & Mould Technology
Xilei Zhang
Huazhong University of Science and Technology, State Key Laboratory for Material Processing and Die & Mould Technology
Yuqi Liu
Huazhong University of Science and Technology, State Key Laboratory for Material Processing and Die & Mould Technology
Zhibing Zhang
Huazhong University of Science and Technology, State Key Laboratory for Material Processing and Die & Mould Technology
DOI: https://doi.org/10.59429/esta.v11i3.7343
Keywords: Aircraft Skin; Feature Recognition; Instance Retrieval; Nearest Neighbor Strategy
Abstract
Aim: Based on aircraft skin processing technology and aircraft skin part similarity matching algorithm, a similarity matching system of aircraft skin part has been developed. Method: Key feature parameters of aircraft skin parts forming process are accurately extracted by the cross-sectional method. The nearest neighbor strategy is adopted to quickly search all process design cases in the knowledge lib. The process feature matrix is standardized by interpolation method, effectively dealing with the problem of inconsistent process feature parameter. The stability and reliability of traditional TOPSIS algorithm are improved by a robust standardization algorithm to eliminate the influence of extreme values. Results: A system of aircraft skin process feature recognition and matching system was developed based on CAA technology. Conclusion: The system has achieved an accuracy rate of 85% on searching for typical aircraft skin parts processes in typical enterprises of aircraft. The developed system can effectively improve the efficiency of aircraft skin part process design.
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