Autor: Gajdoš, V. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Research on the content and filler type on injection shrinkage
Autorzy:: Jachowicz, T.
Gajdoš, I.
Krasinskyi, V.
Powiązania:: https://bibliotekanauki.pl/articles/102398.pdf
Data publikacji:: 2014
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:: polymer processing
injection molding
shrinkage
filler
composite injection-molded part
Opis:: The paper presents the phenomenon of injection shrinkage. The definition of shrinkage and shrinkage types are presented. The main factors affecting shrinkage value of injection-molded part are discussed. Based on the experimental tests conducted using injection-molded parts made from polypropylene filled with glass fiber and talc, the dependence of injection-molded part shrinkage on filler content and selected parameters of the injection molding process has been determined.
Źródło:: Advances in Science and Technology. Research Journal; 2014, 8, 23; 6-13
2299-8624
Pojawia się w:: Advances in Science and Technology. Research Journal
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: FEM Simulation of Deep Drawing Process of Aluminium Alloys
Autorzy:: Slota, J.
Gajdos, I.
Jachowicz, T.
Siser, M
Krasinskyi, V.
Powiązania:: https://bibliotekanauki.pl/articles/117816.pdf
Data publikacji:: 2015
Wydawca:: Polskie Towarzystwo Promocji Wiedzy
Tematy:: deep drawing
Al alloys
sheet metal
numerical simulation
Opis:: This paper presents results of research with FEM simulation of sheet metal forming process. The two types of aluminium alloys from 5XXX and 6XXX series, which are used in automotive industry, were compared. The computer simulation and numerical analysis of deep drawing cup test were used to predict the ability of the forming of these alloys. The plasticity model Hill'90 was used for stamping simulations. The results of numerical simulation were validated by real experiment using sheet metal testing machine Erichsen 145-60. Both results were compared with regard to prediction accuracy in changes of thickness and ear profile.
Źródło:: Applied Computer Science; 2015, 11, 4; 7-19
1895-3735
Pojawia się w:: Applied Computer Science
Dostawca treści:: Biblioteka Nauki

Artykuł

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