Simulation Tests of the Accuracy of Fitting Two Freeform Surfaces

Damian Groch , Małgorzata Poniatowska

Abstract

The presented method is introduced to simulate and predict the accuracy of ftting two freeform surfaces. For this purpose, the CAD models of both actual surfaces should be determined on the basis of coordinate measurement data obtained in measurements along regular grids of points in the UV space. The NURBS regression surfaces are modeled on the measurement data. Adequate regression models are sought with the iterative procedure. In the following steps of the procedure, the number of control points and/or the degree of the surface is/are changed, and the autocorrelation of residuals from the models is tested using the spatial statistics methods. The designated models are optimal CAD representations of the actual surfaces. Tests of the accuracy of ftting the surfaces are carried out virtually by ftting together both models in the CAD software. The outcome of the study is a spatial model of the gap between the studied surfaces. The obtained model was verifed experimentally by measuring the dimensions of the actual gap between the surfaces, applying a measuring microscope. The proposed method is a useful tool in analyzing and improving the accuracy of injection molds machining.
Author Damian Groch (FME)
Damian Groch,,
- Faculty of Mechanical Engineering
, Małgorzata Poniatowska (FME / DMPE)
Małgorzata Poniatowska,,
- Department of Material and Production Engineering
Journal seriesInternational Journal of Precision Engineering and Manufacturing, ISSN 2234-7593, e-ISSN 2005-4602, [1229-8557], (N/A 70 pkt)
Issue year2020
Vol21
No1
Pages23-30
Publication size in sheets0.5
Keywords in EnglishAccuracy of ftting, CAD model of the gap , Freeform closing surfaces, Injection mold
ASJC Classification2208 Electrical and Electronic Engineering; 2209 Industrial and Manufacturing Engineering; 2210 Mechanical Engineering
DOIDOI:10.1007/s12541-019-00252-4
URL https://link.springer.com/content/pdf/10.1007%2Fs12541-019-00252-4.pdf
Internal identifierROC 19-20
Languageen angielski
LicenseJournal (articles only); published final; Uznanie Autorstwa (CC-BY); with publication
Score (nominal)70
Score sourcejournalList
ScoreMinisterial score = 70.0, 12-03-2020, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2018 = 1.133; WoS Impact Factor: 2018 = 1.779 (2) - 2018=1.512 (5)
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