Uncertainty evaluation for twist drilling stability model

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...

Full description

Saved in:
Bibliographic Details
Published in:Precision engineering Vol. 66; pp. 324 - 332
Main Authors: Schmitz, Tony, Gomez, Michael, Honeycutt, Andrew, Karandikar, Jaydeep, Shim, Jongyoup, Ro, Seung-Kook, Hwang, Jooho
Format: Journal Article
Language:English
Published: United States Elsevier Inc 01-11-2020
Elsevier
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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. •A first uncertainty analysis for drilling stability is presented.•Inputs for the drilling stability model include the torsional-axial frequency response and force model coefficients.•Uncertainties are assigned to inputs and are propagated through the stability model to evaluate the stability uncertainty.•Experiments are completed and results presented for comparison to the predicted stability boundary.
Bibliography:USDOE Office of Energy Efficiency and Renewable Energy (EERE)
AC05-00OR22725
ISSN:0141-6359
1873-2372
DOI:10.1016/j.precisioneng.2020.08.007