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Inline observation of tool wear in deep drawing with thermoelectric and optical measurements

Groche, Peter and Wu, Yutian (2019):
Inline observation of tool wear in deep drawing with thermoelectric and optical measurements.
In: CIRP Annals - Manufacturing Technology, Elsevier, Manchester, 68 (1), Elsevier, pp. 567-570, ISSN 0007-8506,
[Online-Edition: https://doi.org/10.1016/j.cirp.2019.04.034],
[Article]

Abstract

Wear is an industrially relevant process limit in sheet metal forming. So far, detection of wear in these processes is based on offline analyses of tool surfaces. This procedure leads to wear data with a limited resolution in time. Since the restricted data acquisition increases the probability of scrap production and limits the building of improved wear models, higher resolutions of wear data are needed. Results derived in strip drawing tests reveal that wear data from thermoelectric current and sheet topography measurements can serve as appropriate basis for condition monitoring of forming tools and wear model set-up.

Item Type: Article
Erschienen: 2019
Creators: Groche, Peter and Wu, Yutian
Title: Inline observation of tool wear in deep drawing with thermoelectric and optical measurements
Language: English
Abstract:

Wear is an industrially relevant process limit in sheet metal forming. So far, detection of wear in these processes is based on offline analyses of tool surfaces. This procedure leads to wear data with a limited resolution in time. Since the restricted data acquisition increases the probability of scrap production and limits the building of improved wear models, higher resolutions of wear data are needed. Results derived in strip drawing tests reveal that wear data from thermoelectric current and sheet topography measurements can serve as appropriate basis for condition monitoring of forming tools and wear model set-up.

Journal or Publication Title: CIRP Annals - Manufacturing Technology, Elsevier, Manchester
Volume: 68
Number: 1
Publisher: Elsevier
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institut für Produktionstechnik und Umformmaschinen (PtU)
Date Deposited: 26 Jul 2019 07:43
Official URL: https://doi.org/10.1016/j.cirp.2019.04.034
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