Cutting force and stability prediction for inserted cutters

Michael Gomez; Timothy No; Scott Smith; Tony Schmitz

doi:10.1016/j.promfg.2020.05.067

Cutting force and stability prediction for inserted cutters

Michael Gomez, Timothy No, Scott Smith, Tony Schmitz

Advanced Machining and Machine Tools Res

Research output: Contribution to journal › Conference article › peer-review

5 Scopus citations

Abstract

This paper presents an approach for inserted end/face mill force and stability predictions using a reverse engineering approach. Structured light scanning is implemented to identify the spatial coordinates of the points that define the multiple insert cutting edges. These points are analyzed to extract the cutting edge radius and angle values, which are then incorporated in a time domain simulation that predicts cutting force and tool/workpiece deflection for user-selected operating parameters. Good agreement between predicted and measured cutting forces is first demonstrated. The process stability is then predicted using the validated force model and measured structural dynamics. Observations about the stability dependence on insert geometry are finally presented for a selected end mill.

Original language	English
Pages (from-to)	443-451
Number of pages	9
Journal	Procedia Manufacturing
Volume	48
DOIs	https://doi.org/10.1016/j.promfg.2020.05.067
State	Published - 2020
Event	48th SME North American Manufacturing Research Conference, NAMRC 48 - Cincinnati, United States Duration: Jun 22 2020 → Jun 26 2020

Funding

The authors gratefully acnk oledw ge financial support from the National Science Foundation (CMMI -1561221) and Oak idR ge National abL oratory. The authors gratefully acknowledge financial support from the National Science Foundation (CMMI-1561221) and Oak Ridge National Laboratory.

Keywords

Force
Inserted end mill
Machining
Stability
Structured light

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10.1016/j.promfg.2020.05.067

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@article{38019a52804f4aa2a10b5f9c0e6831e3,

title = "Cutting force and stability prediction for inserted cutters",

abstract = "This paper presents an approach for inserted end/face mill force and stability predictions using a reverse engineering approach. Structured light scanning is implemented to identify the spatial coordinates of the points that define the multiple insert cutting edges. These points are analyzed to extract the cutting edge radius and angle values, which are then incorporated in a time domain simulation that predicts cutting force and tool/workpiece deflection for user-selected operating parameters. Good agreement between predicted and measured cutting forces is first demonstrated. The process stability is then predicted using the validated force model and measured structural dynamics. Observations about the stability dependence on insert geometry are finally presented for a selected end mill.",

keywords = "Force, Inserted end mill, Machining, Stability, Structured light",

author = "Michael Gomez and Timothy No and Scott Smith and Tony Schmitz",

note = "Publisher Copyright: {\textcopyright} 2020 The Authors. Published by Elsevier B.V.; 48th SME North American Manufacturing Research Conference, NAMRC 48 ; Conference date: 22-06-2020 Through 26-06-2020",

year = "2020",

doi = "10.1016/j.promfg.2020.05.067",

language = "English",

volume = "48",

pages = "443--451",

journal = "Procedia Manufacturing",

issn = "2351-9789",

}

TY - JOUR

T1 - Cutting force and stability prediction for inserted cutters

AU - Gomez, Michael

AU - No, Timothy

AU - Smith, Scott

AU - Schmitz, Tony

PY - 2020

Y1 - 2020

N2 - This paper presents an approach for inserted end/face mill force and stability predictions using a reverse engineering approach. Structured light scanning is implemented to identify the spatial coordinates of the points that define the multiple insert cutting edges. These points are analyzed to extract the cutting edge radius and angle values, which are then incorporated in a time domain simulation that predicts cutting force and tool/workpiece deflection for user-selected operating parameters. Good agreement between predicted and measured cutting forces is first demonstrated. The process stability is then predicted using the validated force model and measured structural dynamics. Observations about the stability dependence on insert geometry are finally presented for a selected end mill.

AB - This paper presents an approach for inserted end/face mill force and stability predictions using a reverse engineering approach. Structured light scanning is implemented to identify the spatial coordinates of the points that define the multiple insert cutting edges. These points are analyzed to extract the cutting edge radius and angle values, which are then incorporated in a time domain simulation that predicts cutting force and tool/workpiece deflection for user-selected operating parameters. Good agreement between predicted and measured cutting forces is first demonstrated. The process stability is then predicted using the validated force model and measured structural dynamics. Observations about the stability dependence on insert geometry are finally presented for a selected end mill.

KW - Force

KW - Inserted end mill

KW - Machining

KW - Stability

KW - Structured light

UR - http://www.scopus.com/inward/record.url?scp=85094884708&partnerID=8YFLogxK

U2 - 10.1016/j.promfg.2020.05.067

DO - 10.1016/j.promfg.2020.05.067

M3 - Conference article

AN - SCOPUS:85094884708

SN - 2351-9789

VL - 48

SP - 443

EP - 451

JO - Procedia Manufacturing

JF - Procedia Manufacturing

T2 - 48th SME North American Manufacturing Research Conference, NAMRC 48

Y2 - 22 June 2020 through 26 June 2020

ER -

Cutting force and stability prediction for inserted cutters

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Keywords

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