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Author Gamage, P. ♦ Xie, S.Q.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2007
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Real time systems ♦ Visualization ♦ Polypropylene Thin Film ♦ Humans ♦ Inspection ♦ Raw materials ♦ Manufacturing processes ♦ Machine vision ♦ Image Processing ♦ Packaging ♦ Sampling methods ♦ Machine Intelligence ♦ Machine Vision ♦ Transistors
Abstract The cast extrusion manufacturing process is the initial step which enables the creation of the raw materials, such as clear polypropylene film, needed for the flexible packaging manufacturing process. The current methodology of controlling extrusion related defect occurrences is attempted by a combination of statistical sampling and human inspection. However, the defects are small in size and hard to visualise in a clear thin film 3 m in width moving at a speed of 50 m/min. This resulted in poor product quality and high return ratio from customers. To the best of our knowledge, there is no system available that can automatically and accurately detect such defects. This research investigates possible defect detection methodologies and has subsequently proposed a system that is capable of real time monitoring of defects on the cast extrusion manufacturing process.
Description Author affiliation: Auckland Univ., Auckland (Gamage, P.; Xie, S.Q.)
ISBN 9781424413577
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2007-12-04
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 959.00 kB
Page Count 6
Starting Page 240
Ending Page 245

Source: IEEE Xplore Digital Library