Analysis of stamping production data with view towards quality management

Rolfe, Bernard, Frayman, Yakov, Webb, Geoff and Hodgson, Peter 2003, Analysis of stamping production data with view towards quality management, in ICME 2003 Conference proceedings, 13-15 Oct., 2003, Carlton Crest Hotel, Melbourne Australia., the Conference, Melbourne, Vic, pp. 1-15.

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Title Analysis of stamping production data with view towards quality management
Author(s) Rolfe, BernardORCID iD for Rolfe, Bernard orcid.org/0000-0001-8516-6170
Frayman, Yakov
Webb, Geoff
Hodgson, Peter
Conference name International Conference on Manufacturing Engineering (9th : 2003 : Melbourne, Australia)
Conference location Melbourne, Victoria, Australia
Conference dates 13-15 October 2003
Title of proceedings ICME 2003 Conference proceedings, 13-15 Oct., 2003, Carlton Crest Hotel, Melbourne Australia.
Editor(s) Brown, R. H
Publication date 2003
Start page 1
End page 15
Publisher the Conference
Place of publication Melbourne, Vic
Keyword(s) signature analysis
feature extraction
quality control
Summary A quality analysis trial was undertaken at Ford Geelong Stamping Plant on a press line that was fitted with standard press sensors to measure press and binder force over the stamping cycle for each panel. The quality of randomly sampled panels was measured by obtaining the panel thicknesses at five points, for 135 panels in total. These points were chosen such that they exhibited different forming modes. This paper analyses the input force data and the output quality data from the trial to determine any potential relationships. The analysis of the production data was performed using statistical correlation techniques to determine initial potential relationships between input and output variables. An Active Shape Model was used to extract features when identifying the major sources of variation within the input data. However, the initial analysis of the data elicited no direct relationship between the input variables measured and the panel thicknesses. This result is significant as the data collected is from a standard sensor configuration found in many press lines through-out the world. The reason for the lack of a direct relationship is believed to come from the lack of sensitivity in the force measurements which are not able to identify small changes in the process, whereas gross geometric variations have in previous studies shown an obvious relationship with changes in the force press profile. This means that existing force sensors require augmentation by additional sensors if a detailed automatic quality control system for the press lines based on input sensors alone.
ISBN 1877040177
9781877040177
Language eng
Field of Research 091099 Manufacturing Engineering not elsewhere classified
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2005, Monash University
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005223

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