Orthogonal machining experiments to calibrate thermal process signature predictions due to the effects of tool wear, feed, and cutting speed effects were conducted. Two flank wear conditions of 0 and 300 microns, three feeds of 0.005, 0.05, and 0.1 mm/rev, and cutting speeds from 10 to 200 m/min were evaluated. Cutting forces and infrared thermal fields were leveraged to evaluate thermal process signatures in terms of thermal layer depth. Correlation between the proposed model and experimental data was within 10%, suggesting that a hybrid approach of physics-based and data-driven modeling may help to reliably avoid thermal damage.
|Number of pages||5|
|State||Published - 2022|
|Event||6th CIRP Conference on Surface Integrity, CSI 2022 - Lyon, France|
Duration: Jun 8 2022 → Jun 10 2022
Bibliographical notePublisher Copyright:
© 2022 The Authors.
- Surface Integrity
- Thermal Damage Model
- Thermal Process Signature
ASJC Scopus subject areas
- Control and Systems Engineering
- Industrial and Manufacturing Engineering