Form Error Estimation Using Spatial Statistics
Author(s) -
Tai-Hung Yang,
John Jackman
Publication year - 1999
Publication title -
journal of manufacturing science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.366
H-Index - 98
eISSN - 1528-8935
pISSN - 1087-1357
DOI - 10.1115/1.538903
Subject(s) - statistics , estimation , mathematics , sample (material) , computer science , product (mathematics) , algorithm , geometry , engineering , chemistry , systems engineering , chromatography
Form error estimation is an essential step in the assessment of product geometry created through one or more manufacturing processes. We present a new method using spatial statistics to estimate form error. Using large sets of uniform sample points measured from five common machined surfaces, we compare the form error estimates using individual points and fitted surfaces obtained through spatial statistical methods. The results show that spatial statistics can provide more accurate estimates of form error under certain conditions.
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