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Wavelet packet decomposition to characterize injection molding tool damage
Kek, Tomaž (Avtor), Kusić, Dragan (Avtor), Grum, Janez (Avtor)

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Izvleček
This paper presents measurements of acoustic emission (AE) signals during the injection molding of polypropylene with new and damaged mold. The damaged injection mold has cracks induced by laser surface heat treatment. Standard test specimens were injection molded, commonly used for examining the shrinkage behavior of various thermoplastic materials. The measured AE burst signals during injection molding cycle are presented. For injection molding tool integrity prediction, different AE burst signals descriptors are defined. To lower computational complexity and increase performance, the feature selection method was implemented to define a feature subset in an appropriate multidimensional space to characterize the integrity of the injection molding tool and the injection molding process steps. The feature subset was used for neural network pattern recognition of AE signals during the full time of the injection molding cycle. The results confirm that acoustic emission measurement during injection molding of polymer materials is a promising technique for characterizing the integrity of molds with respect to damage, even with resonant sensors.

Jezik:Angleški jezik
Ključne besede:acoustic emission, injection molding, cracks, feature vector, pattern recognition
Vrsta gradiva:Članek v reviji (dk_c)
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Leto izida:2016
Št. strani:13 str.
Številčenje:Vol. 6, iss. 2, art. 45
UDK:620.179.17(045)
ISSN pri članku:2076-3417
DOI:10.3390/app6020045 Povezava se odpre v novem oknu
COBISS.SI-ID:14587419 Povezava se odpre v novem oknu
Število ogledov:84
Število prenosov:21
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Gradivo je del revije

Naslov:Applied sciences
Skrajšan naslov:Appl. sci.
Založnik:MDPI
ISSN:2076-3417
COBISS.SI-ID:522979353 Povezava se odpre v novem oknu

Gradivo je financirano iz projekta

Financer:EC - European Commission
Program financ.:European Social Fund

Financer:Drugi - Drug financer ali več financerjev
Program financ.:Slovenian Ministry for Higher Education, Science and Technology

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:04.02.2016

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:akustične emisije, injekcijsko brizganje, razpoke, vektorske funkcije, razpoznavanje vzorcev

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