Uncertainty evaluation for twist drilling stability model
| Autor: | Michael Gomez, Jooho Hwang, Seung-Kook Ro, Tony L. Schmitz, Jongyoup Shim, Jaydeep Karandikar, Andrew Honeycutt |
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| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Frequency response Monte Carlo method General Engineering Thrust 02 engineering and technology Stability (probability) Vibration 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Control theory Torque Uncertainty analysis Stability Model Mathematics |
| Zdroj: | Precision Engineering. 66:324-332 |
| ISSN: | 0141-6359 |
| DOI: | 10.1016/j.precisioneng.2020.08.007 |
| Popis: | This paper describes the first uncertainty analysis for drilling stability using a frequency-domain drilling stability model. The stability model inputs include: the modal parameters for the torsional-axial vibration mode from the twist drill-holder-spindle axial frequency response function; and the mechanistic coefficients that relate the torque and thrust force to chip area for the selected drill-workpiece material combination. Monte Carlo simulation is applied to propagate the input uncertainties to output uncertainty in the predicted stability map, which separates stable from unstable (chatter) zones in the spindle speed-chip width parameter space. The mean stability boundary and its 95% confidence intervals are determined for five cases: varying all four inputs simultaneously and varying them individually. This enables the individual sensitivities to be compared. Experimental results from drilling tests are included for comparison to the prediction. Additionally, Matlab code is provided to implement the stability model and Monte Carlo uncertainty analysis. |
| Databáze: | OpenAIRE |
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