A Tool for Predicting the Effect of the Plunger Motion Profile on the Static Properties of Aluminium High Pressure Die Cast Components
The availability of tools for predicting quality in high pressure die casting is a challenging issue since a large amount of defects is detected in components with a consequent worsening of the mechanical behavior. In this paper, a tool for predicting the effect of the plunger motion on the properti...
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doaj-ff353e9be1ae48e4966767aa72d124172020-11-24T21:46:26ZengMDPI AGMetals2075-47012018-10-0181079810.3390/met8100798met8100798A Tool for Predicting the Effect of the Plunger Motion Profile on the Static Properties of Aluminium High Pressure Die Cast ComponentsElena Fiorese0Franco Bonollo1Eleonora Battaglia2Department of Management and Engineering (DTG), University of Padova, Vicenza 36100, ItalyDepartment of Management and Engineering (DTG), University of Padova, Vicenza 36100, ItalyDepartment of Management and Engineering (DTG), University of Padova, Vicenza 36100, ItalyThe availability of tools for predicting quality in high pressure die casting is a challenging issue since a large amount of defects is detected in components with a consequent worsening of the mechanical behavior. In this paper, a tool for predicting the effect of the plunger motion on the properties of high pressure die cast aluminum alloys is explained and applied, by demonstrating its effectiveness. A comparison between two experiments executed through different cold chamber machines and the same geometry of the die and slightly different chemical compositions of the alloy is described. The effectiveness of the model is proved by showing the agreement between the prediction bounds and the measured data. The prediction model proposed is a general methodology independent of the machine and accounts for the effects of geometry and alloy through its coefficients.http://www.mdpi.com/2075-4701/8/10/798high pressure die castingaluminum alloyprediction modelprocess monitoringstatic mechanical behaviorfracture surfacemicrostructure. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Elena Fiorese Franco Bonollo Eleonora Battaglia |
spellingShingle |
Elena Fiorese Franco Bonollo Eleonora Battaglia A Tool for Predicting the Effect of the Plunger Motion Profile on the Static Properties of Aluminium High Pressure Die Cast Components Metals high pressure die casting aluminum alloy prediction model process monitoring static mechanical behavior fracture surface microstructure. |
author_facet |
Elena Fiorese Franco Bonollo Eleonora Battaglia |
author_sort |
Elena Fiorese |
title |
A Tool for Predicting the Effect of the Plunger Motion Profile on the Static Properties of Aluminium High Pressure Die Cast Components |
title_short |
A Tool for Predicting the Effect of the Plunger Motion Profile on the Static Properties of Aluminium High Pressure Die Cast Components |
title_full |
A Tool for Predicting the Effect of the Plunger Motion Profile on the Static Properties of Aluminium High Pressure Die Cast Components |
title_fullStr |
A Tool for Predicting the Effect of the Plunger Motion Profile on the Static Properties of Aluminium High Pressure Die Cast Components |
title_full_unstemmed |
A Tool for Predicting the Effect of the Plunger Motion Profile on the Static Properties of Aluminium High Pressure Die Cast Components |
title_sort |
tool for predicting the effect of the plunger motion profile on the static properties of aluminium high pressure die cast components |
publisher |
MDPI AG |
series |
Metals |
issn |
2075-4701 |
publishDate |
2018-10-01 |
description |
The availability of tools for predicting quality in high pressure die casting is a challenging issue since a large amount of defects is detected in components with a consequent worsening of the mechanical behavior. In this paper, a tool for predicting the effect of the plunger motion on the properties of high pressure die cast aluminum alloys is explained and applied, by demonstrating its effectiveness. A comparison between two experiments executed through different cold chamber machines and the same geometry of the die and slightly different chemical compositions of the alloy is described. The effectiveness of the model is proved by showing the agreement between the prediction bounds and the measured data. The prediction model proposed is a general methodology independent of the machine and accounts for the effects of geometry and alloy through its coefficients. |
topic |
high pressure die casting aluminum alloy prediction model process monitoring static mechanical behavior fracture surface microstructure. |
url |
http://www.mdpi.com/2075-4701/8/10/798 |
work_keys_str_mv |
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