Publication Type
Conference Paper
Book Title
17th CIRP Conference on Intelligent Computation in Manufacturing Engineering
Publication Date
Page Numbers
1 to 6
Issue
00
Publisher Location
California, United States of America
Conference Name
17th CIRP Conference on Intelligent Computation in Manufacturing Engineering
Conference Location
Naples, Italy
Conference Sponsor
CIRP
Conference Date
-
Abstract
Monitoring cutting forces for process control may be challenging because force measurements typically require invasive instrumentation. To remedy this situation, two new methods were recently developed to estimate cutting forces in real time based on the use of on-machine accelerometer measurements. One method uses machine learning, while another uses a physics-inspired data-driven approach, to generate a model that estimates cutting forces from on-machine accelerations. The estimated forces from both approaches were compared against cutting force data collected during various milling operations on several machine tools. The results reveal the advantages and disadvantages of each model to estimate real-time cutting forces.
