Wireless in-mold melt front detection for injection molding: A long-term evaluation

ABSTRACT Wireless sensing technology for injection molding is of increasing interest in literature. Recently, a purely mechanical in‐mold sensor for melt front detection was introduced. The sensor system is based on building resonant structures into the mold which are excited by the passing melt fro...

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Bibliographic Details
Published inJournal of applied polymer science Vol. 131; no. 11; pp. np - n/a
Main Authors Müller, Florian, Kukla, Christian, Lucyshyn, Thomas, Harker, Matthew, Rath, Gerhard, Holzer, Clemens
Format Journal Article
LanguageEnglish
Published Hoboken, NJ Blackwell Publishing Ltd 05.06.2014
Wiley
Wiley Subscription Services, Inc
Subjects
Applied sciences
Construction
Exact sciences and technology
Holes
Injection molding
Injection moulding
Machinery and processing
Materials science
Melts
molding
Molds
Moulding
Plastics
Polymer industry, paints, wood
Polymers
Receivers
Sensors
sensors and actuators
Sound
Technology of polymers
thermoplastics
Performance evaluation
Thermoplastics
Molten state
Process control
sensors and actuators
Position sensor
Flow control
Injection molding
molding
Experimental study
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Summary:ABSTRACT Wireless sensing technology for injection molding is of increasing interest in literature. Recently, a purely mechanical in‐mold sensor for melt front detection was introduced. The sensor system is based on building resonant structures into the mold which are excited by the passing melt front generating structure‐borne sound, from which the melt front position is derived. A big advantage of this system is the possibility to implement a plurality of resonant structures while just having one receiver. One important aspect is the need to separate and assign the recorded impinging sounds. A novel algebraic approach was introduced separating the resonant structures by reference to their oscillatory behavior. In this article, measurement results for over 450 injection molding cycles are given proving functionality of the separation process. In addition, it is shown that the melt front detection is reliable and robust when comparing it with results obtained by cavity temperature sensors. © 2014 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2014, 131, 40346.
Bibliography:istex:19E8D51FF581937F2FECAC73A836C3360106037A
ArticleID:APP40346
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content type line 23
ISSN:0021-8995
1097-4628
DOI:10.1002/app.40346