Pre-Rolling Forming-Quality Prediction in 2219 Aluminum Alloy Ring Rolling Using Physics-Informed Heterogeneous Stacking
Industrial 2219 aluminum alloy ring production requires quality assessment before a prescribed rolling plan is executed. At the investigated site, independent geometric inspection is incomplete and forming-quality feedback is not used for in-process plan adjustment. This study establishes a pre-rolling prediction framework by separating quality supervision derived from historical process signals from information available for a new workpiece. A terminal radial-fluctuation root-mean-square (TRF-RMS) indicator is constructed from the follower-roll terminal response and mapped to three enterprise-defined grades. Physics-informed heterogeneous stacking (PI-HStack) predicts these process-based grades using blank and target geometry, derived geometric relationships, initial temperature, and prescribed rolling time. Engineering descriptors represent the planned transformation; out-of-fold probability fusion combines learners, and class-specific decision adjustment addresses three-grade assignment. Five stratified 80/20 hold-out tests on 2224 industrial records yielded mean accuracy of 0.6769, macro-averaged F1-score (Macro-F1) of 0.6436, and macro-averaged one-vs-rest area under the receiver operating characteristic curve (Macro-AUC) of 0.8316. Basic geometry already provides substantial predictive information, and additional descriptors do not improve all objectives. PI-HStack has the highest reported mean overall metrics, whereas extreme gradient boosting (XGBoost) performs better on poor-grade screening measures. Ranking by the PI-HStack poor-grade score captures 56.28% of poor-grade records within the highest-ranked 20% of test records. The findings support objective-specific feature and model selection for pre-rolling plan review. The evaluation is retrospective and limited to the observed production distribution; independent geometric-tolerance validation and generalization to unseen specifications remain unestablished.
Authors
- Xiaojie Jia (ORCID: https://orcid.org/0009-0002-8629-1189)
- Jianping Tan (ORCID: https://orcid.org/0009-0000-4021-5346)
- Ruining Xie
- Zehui Li (ORCID: https://orcid.org/0009-0000-3105-3293)
- Jianqiao Liu (ORCID: https://orcid.org/0009-0007-0258-6083)
- Xiaoxuan Huang
- Jie Hou
- Liang Zhou
- Li Li
Institutions
- Central South University (CN)
- Yueyang Changling Equipment Research Institute (China) (CN)
- Institute of New Materials (CN)
Publication Details
- Journal
- Symmetry
- Published
- 2026-10-16
- DOI
- https://doi.org/10.3390/sym18101725
- Primary Topic
- Fault Detection and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China