Uncertainty evaluation for twist drilling stability model

Tony Schmitz; Michael Gomez; Andrew Honeycutt; Jaydeep Karandikar; Jongyoup Shim; Seung Kook Ro; Jooho Hwang

doi:10.1016/j.precisioneng.2020.08.007

Uncertainty evaluation for twist drilling stability model

Tony Schmitz, Michael Gomez, Andrew Honeycutt, Jaydeep Karandikar, Jongyoup Shim, Seung Kook Ro, Jooho Hwang

Advanced Machining and Machine Tools Res

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	324-332
Number of pages	9
Journal	Precision Engineering
Volume	66
DOIs	https://doi.org/10.1016/j.precisioneng.2020.08.007
State	Published - Nov 2020

Funding

Notice: This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ). This research was supported by the Korea Institute of Machinery & Materials , DOE Office of Energy Efficiency and Renewable Energy (EERE) , Energy and Transportation Science Division , and used resources at the Manufacturing Demonstration Facility, a DOE-EERE User Facility at Oak Ridge National Laboratory. The authors gratefully acknowledge contributions by E. Betters, ORNL, to the force modeling.

Keywords

Chatter
Drilling
Monte Carlo
Uncertainty

Access to Document

10.1016/j.precisioneng.2020.08.007

Cite this

@article{35e36dbe496043c8ae835a5bc518084d,

title = "Uncertainty evaluation for twist drilling stability model",

abstract = "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.",

keywords = "Chatter, Drilling, Monte Carlo, Uncertainty",

author = "Tony Schmitz and Michael Gomez and Andrew Honeycutt and Jaydeep Karandikar and Jongyoup Shim and Ro, {Seung Kook} and Jooho Hwang",

note = "Publisher Copyright: {\textcopyright} 2020 Elsevier Inc.",

year = "2020",

month = nov,

doi = "10.1016/j.precisioneng.2020.08.007",

language = "English",

volume = "66",

pages = "324--332",

journal = "Precision Engineering",

issn = "0141-6359",

publisher = "Elsevier",

}

TY - JOUR

T1 - Uncertainty evaluation for twist drilling stability model

AU - Schmitz, Tony

AU - Gomez, Michael

AU - Honeycutt, Andrew

AU - Karandikar, Jaydeep

AU - Shim, Jongyoup

AU - Ro, Seung Kook

AU - Hwang, Jooho

PY - 2020/11

Y1 - 2020/11

N2 - 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.

AB - 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.

KW - Chatter

KW - Drilling

KW - Monte Carlo

KW - Uncertainty

UR - http://www.scopus.com/inward/record.url?scp=85089730766&partnerID=8YFLogxK

U2 - 10.1016/j.precisioneng.2020.08.007

DO - 10.1016/j.precisioneng.2020.08.007

M3 - Article

AN - SCOPUS:85089730766

SN - 0141-6359

VL - 66

SP - 324

EP - 332

JO - Precision Engineering

JF - Precision Engineering

ER -

Uncertainty evaluation for twist drilling stability model

Abstract

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this