Use of image recognition techniques in the analysis of sheet metal forming force signature curves

Matthew Doolan; Shankar Kalyanasundaram; Michael Cardew-Hall; Peter Hodgson

doi:10.1115/1.1559164

Use of image recognition techniques in the analysis of sheet metal forming force signature curves

Matthew Doolan^*
, Shankar Kalyanasundaram
, Michael Cardew-Hall
, Peter Hodgson

^*Corresponding author for this work

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

7 Citations (Scopus)

Abstract

A new method of metal stamping force signature analysis is presented, based on the image recognition technique Point Distribution Models (PDMs). The approach is shown to be an effective method for analyzing force signatures, able to identify not only the occurrence of part failures, but also changes in lubrication, material and process settings.

Original language	English
Pages (from-to)	363-368
Number of pages	6
Journal	Journal of Manufacturing Science and Engineering
Volume	125
Issue number	2
DOIs	https://doi.org/10.1115/1.1559164
Publication status	Published - May 2003

Access to Document

10.1115/1.1559164

Cite this

@article{c2572607018044ae800450bd26259393,

title = "Use of image recognition techniques in the analysis of sheet metal forming force signature curves",

abstract = "A new method of metal stamping force signature analysis is presented, based on the image recognition technique Point Distribution Models (PDMs). The approach is shown to be an effective method for analyzing force signatures, able to identify not only the occurrence of part failures, but also changes in lubrication, material and process settings.",

author = "Matthew Doolan and Shankar Kalyanasundaram and Michael Cardew-Hall and Peter Hodgson",

year = "2003",

month = may,

doi = "10.1115/1.1559164",

language = "English",

volume = "125",

pages = "363--368",

journal = "Journal of Manufacturing Science and Engineering",

issn = "1087-1357",

publisher = "American Society of Mechanical Engineers (ASME)",

number = "2",

}

TY - JOUR

T1 - Use of image recognition techniques in the analysis of sheet metal forming force signature curves

AU - Doolan, Matthew

AU - Kalyanasundaram, Shankar

AU - Cardew-Hall, Michael

AU - Hodgson, Peter

PY - 2003/5

Y1 - 2003/5

N2 - A new method of metal stamping force signature analysis is presented, based on the image recognition technique Point Distribution Models (PDMs). The approach is shown to be an effective method for analyzing force signatures, able to identify not only the occurrence of part failures, but also changes in lubrication, material and process settings.

AB - A new method of metal stamping force signature analysis is presented, based on the image recognition technique Point Distribution Models (PDMs). The approach is shown to be an effective method for analyzing force signatures, able to identify not only the occurrence of part failures, but also changes in lubrication, material and process settings.

UR - https://www.scopus.com/pages/publications/0038399845

U2 - 10.1115/1.1559164

DO - 10.1115/1.1559164

M3 - Article

SN - 1087-1357

VL - 125

SP - 363

EP - 368

JO - Journal of Manufacturing Science and Engineering

JF - Journal of Manufacturing Science and Engineering

IS - 2

ER -

Use of image recognition techniques in the analysis of sheet metal forming force signature curves

Abstract

Access to Document

Other files and links

Fingerprint

Cite this