文章基本信息

标题：Predicting machined surface topography based on high definition metrology
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作者：Meng Wang ; Meng Wang ; Shichang Du 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：3
页码：1013-1017
DOI：10.1016/j.ifacol.2015.06.216
语种：English
出版社：Elsevier
摘要：Abstract This paper aims to predict the three-dimensional surface topography for future machined parts based on high definition metrology (HDM). HDM can measure the 3D topography of previously machined surfaces with high resolution and large field of view, containing rich spatial-temporal information of the machined surfaces. Therefore, a space-time autoregressive integrated moving average (STARIMA) model is adopted to describe the spatial-temporal characteristics and predict the future surface. The model was validated by an experiment on the engine block face milling process. The results show a good agreement between the predicted surface and the real surface with an average forecast error of 0.181 micrometer for an area with 80×80 sites. The proposed surface topography prediction method can be used for the early warning of surface quality deterioration and pre-control of the manufacturing process.
关键词：KeywordsPrediction methods3D surface topographySTARIMABig dataPre-control