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Št. zadetkov: 2
Optimizing abrasive water jet milling of alumina ceramics with RBF neural networks
Y.T. Feng, Z.R. Shi, X. Yang, W. Huang, X. Luo, Y.H. Li, L. Yu
Izvirni znanstveni članek
Oznake: abrazivni vodni curek;rezkanje;natančna obdelava;abrasive water jet;AWJ;milling;alumina ceramic;precisio machining;material removal rate;single-factor experiment;orthogonal array;RFB neural network;
Abrasive water jet technology is an advanced machining method that combines high-pressure water jet with solid abrasives. Owing to its unique coldprocessing characteristics, high flexibility, and environmental bebefits, it has been widely applied in aerospace, medical devices, microelectronics, defe ...
Leto: 2025 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Precision blade manufacturing
Lian Zhang, Q. Wang., Y. T. Xia, Y. L. Xia
Izvirni znanstveni članek
Oznake: natančna izdelava;strojno učenje;optimizacija;precise manufacturing;optimization;meta-learning optimization;machine learning;small sample learning;Particle Swarm Optimization;PSO;
Accurately predicting blade manufacturing deviations from limited experimental data remains challenging due to the complex nonlinear relationship between process parameters and resulting profile deviations in precision casting. To overcome the limitations inherent in traditional approaches and conve ...
Leto: 2025 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Št. zadetkov: 2
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