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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Analysis of stamping production data with view towards quality management
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
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