An Aircraft Structural Component Process Route Recommendation Engine Based on ANN-LCS Algorithm

A process route recommendation engine for aviation structural components based on ANN-LCS algorithm is introduced. By processing the machining process knowledge of aviation structural components, defining their basic information and process route data, and then constructing and training an ANN (Arti...

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Bibliographic Details
Published in2024 7th International Conference on Computer Information Science and Application Technology (CISAT) pp. 796 - 802
Main Authors Qin, Linhao, Fu, Dewei, Ming, Zhenjun, Zhang, Hongpeng, Lu, Hu, Li, Qiang, Chen, Baoguo, Wen, Qin, Xu, Mengmin, Lyu, Ruiqiang
Format Conference Proceeding
LanguageEnglish
Published IEEE 12.07.2024
Subjects
artificial neural network
Artificial neural networks
Classification algorithms
Dynamic programming
Engines
Heuristic algorithms
Knowledge engineering
longest common sequence
Personnel
Process design
process route recommendation
Testing
Training
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Summary:A process route recommendation engine for aviation structural components based on ANN-LCS algorithm is introduced. By processing the machining process knowledge of aviation structural components, defining their basic information and process route data, and then constructing and training an ANN (Artificial Neural Network) to classify parts. Based on part classification, the LCS (Longest Common Substring) algorithm based on dynamic programming is used to generate process routes. Through the testing of process route recommendation examples, the results show that this method can effectively obtain and select feasible process routes in the process design stage.
DOI:10.1109/CISAT62382.2024.10695249