Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Roughness Prediction Method for Precision Magnetic Abrasive Finishing of the Inner Surface of Aeroengine Bent Tubes Based on the Improved Particle Swarm Algorithm Optimized Support Vector Machine (IPSO-SVM) Model. |
| Συγγραφείς: |
Xiao, Chun Fang, Xiao, Jun Jie, Han, Bing |
| Πηγή: |
Tribology Transactions; Aug-Oct2026, Vol. 69 Issue 5, p1242-1251, 10p |
| Θεματικοί όροι: |
Surface roughness, Particle swarm optimization, Surface finishing, Process optimization, Finishes & finishing, Process control systems, Support vector machines, Tube bending |
| Περίληψη: |
Addressing the issues of insufficient parameter coupling characterization, susceptibility to local optima, and slow convergence speed in the existing optimization model for magnetic abrasive finishing (MAF) process parameters of bent pipes, this paper proposes a prediction method for the internal surface roughness of aeroengine bent pipes based on the combination of improved particle swarm optimization (IPSO) and support vector machine (SVM). By deeply analyzing the nonlinear mapping relationship between the multiparameter coupling effect of MAF process and surface quality, a key influencing factor system is established, and the morphology data before and after processing are collected. Subsequently, a normalization operator is introduced to eliminate the influence of dimensions. The optimal MAF process parameters for tube bending are obtained as follows: magnetic field rotational speed of 996.86 r/min, feed rate of 0.98 mm/s, abrasive grain size of 97.32 mesh, and processing time of 57.24 min. The constructed IPSO-SVM model integrates the robustness of SVM in small-sample regression with the efficient global optimization potential of IPSO. By dynamically iterating and optimizing the model weights and process variables, it effectively overcomes the blindness of manual trial and error methods and significantly reduces experimental costs. It provided theoretical basis and technical support for the optimization of MAF process on the inner surface of aeroengine bends. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
Complementary Index |