Experimental Characterization and Random Forest-Based Prediction of Drilling Forces in Multi-Layered AA6061 Sheets Processed by Accumulative Roll Bonding

Key Points

• Drilling forces in AA6061 sheets are successfully predicted using a random forest approach, optimizing manufacturing efficiency.
• The prediction model demonstrated an accuracy rate of 85% based on experimental data across various drilling conditions.
• Assessment involved experimental characterization to understand drilling forces during the accumulative roll bonding of multi-layered sheets.
• The findings highlight potential improvements in resource management during manufacturing processes for multi-layered materials.