In-process identification of the milling operation

D. W. Cho; K. F. Eman

doi:10.1016/0890-6955(90)90179-M

In-process identification of the milling operation

D. W. Cho^*, K. F. Eman

^*Corresponding author for this work

Mechanical Engineering

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

3 Scopus citations

Abstract

The three dimensional milling operation was formulated in terms of multi-variate stochastic time series models. It was shown, both theoretically and experimentally, that this formulation can be effectively used for the identification of the cutting and structural dynamics properties directly from measured operating data.

Original language	English (US)
Pages (from-to)	325-337
Number of pages	13
Journal	International Journal of Machine Tools and Manufacture
Volume	30
Issue number	3
DOIs	https://doi.org/10.1016/0890-6955(90)90179-M
State	Published - 1990

ASJC Scopus subject areas

Mechanical Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1016/0890-6955(90)90179-M

Cite this

@article{dbcb037a588448ab90d0c2c42b12c97c,

title = "In-process identification of the milling operation",

abstract = "The three dimensional milling operation was formulated in terms of multi-variate stochastic time series models. It was shown, both theoretically and experimentally, that this formulation can be effectively used for the identification of the cutting and structural dynamics properties directly from measured operating data.",

author = "Cho, {D. W.} and Eman, {K. F.}",

year = "1990",

doi = "10.1016/0890-6955(90)90179-M",

language = "English (US)",

volume = "30",

pages = "325--337",

journal = "International Journal of Machine Tools and Manufacture",

issn = "0890-6955",

publisher = "Elsevier Ltd",

number = "3",

}

TY - JOUR

T1 - In-process identification of the milling operation

AU - Cho, D. W.

AU - Eman, K. F.

PY - 1990

Y1 - 1990

N2 - The three dimensional milling operation was formulated in terms of multi-variate stochastic time series models. It was shown, both theoretically and experimentally, that this formulation can be effectively used for the identification of the cutting and structural dynamics properties directly from measured operating data.

AB - The three dimensional milling operation was formulated in terms of multi-variate stochastic time series models. It was shown, both theoretically and experimentally, that this formulation can be effectively used for the identification of the cutting and structural dynamics properties directly from measured operating data.

UR - http://www.scopus.com/inward/record.url?scp=0025665972&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0025665972&partnerID=8YFLogxK

U2 - 10.1016/0890-6955(90)90179-M

DO - 10.1016/0890-6955(90)90179-M

M3 - Article

AN - SCOPUS:0025665972

SN - 0890-6955

VL - 30

SP - 325

EP - 337

JO - International Journal of Machine Tools and Manufacture

JF - International Journal of Machine Tools and Manufacture

IS - 3

ER -

In-process identification of the milling operation

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this