תמונות העטיפה

Springback Control of Profile by Multi-Point Stretch-Bending and Torsion Automatic Forming Based on FE-BPNN

שמור ב:
הוצא לאור ב:Metals vol. 15, no. 5 (2025), p. 544
מחבר ראשי: Yu, Wen
מחברים אחרים: Liang Jicai, Li, Yi, Liang Ce
יצא לאור:
MDPI AG
נושאים:
Aluminum
Deformation effects
Accuracy
Forming machines
Back propagation
Algorithms
Control methods
Sensors
Neural networks
Symmetry
Back propagation networks
Controllers
Springback
גישה מקוונת:Citation/Abstract
Full Text + Graphics
Full Text - PDF
תגים: הוספת תג
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
Resumen:Springback control is a critical factor in profile stretch-bending-torsion forming. A new stretch-bending-torsion automatic forming method based on the mixture of finite element and BP neural network (FE-BPNN) is proposed. The method enhances the shape accuracy of profiles after single-step forming. Initially, the study introduces the 3D multi-point stretch-bending and torsion (3D MPSBT) forming machine and its forming principles. Subsequently, it details the springback prediction method and automatic forming control approach based on BPNN. A springback control model is established through numerical simulation and experiments. The proposed springback control method is compared with a springback factor-based approach from other researchers using hollow rectangular profiles undergoing combined bending and torsion deformation as the research object. The results validate the effectiveness and advantages of the proposed method.
ISSN:2075-4701
DOI:10.3390/met15050544
Fuente:Materials Science Database