Predicted Torque Model in Low-Frequency-Assisted Boring (LFAB) Operations
Author/s
Veiga, Fernando; Gil Del Val, Alain; Penalva, Mari Luz; Pereira, Octavio; Suárez, Alfredo; [et al.]Date
2021-06-24Keywords
Chip segmentation
ST52 cast steel
Torque analysis
Roughness
Machining of low-frequency processes
Abstract
A low-frequency-assisted boring operation is a key cutting process in the aircraft manufacturing
sector when drilling deep holes to avoid chip clogging based on chip breakage and,
consequently, to reduce the temperature level in the cutting process. This paper proposes a predicted
force model based on a commercial control-supported chip breaking function without external vibration
devices in the boring operations. The model was fitted by conventional boring measurements
and was validated by vibration boring experiments with different ranges of amplitude and frequency.
The average prediction error is around 10%. The use of a commercial function makes the model
more attractive for the industry because there is no need for intrusive vibration sensors. The low-frequency
assisted boring (LFAB) operations foster the chip breakage. Finally, the model is generic
and can be used for different cutting materials and conditions. Roughness is improved by 33% when
vibration conditions are ...
Type
article