scholarly journals The Influence of the Gate Geometry on Selected Process Parameters in the High Pressure Die Casting Technology

2019 ◽  
Vol 19 (1) ◽  
pp. 101-106 ◽  
Author(s):  
Jan Majernik ◽  
Stefan Gaspar ◽  
Martin Podaril ◽  
Jan Kolinsky
Keyword(s):  
High Pressure ◽  
Process Parameters ◽  
Die Casting ◽  
High Pressure Die Casting ◽  
Casting Technology ◽  
Pressure Die Casting

High-Pressure Die-Casting Process Modelling Using Neural Networks

2006 ◽  
pp. 182-198 ◽  
Author(s):  
M. Imad Khan ◽  
Saeid Nahavandi ◽  
Yakov Frayman
Keyword(s):  
High Pressure ◽  
Process Parameters ◽  
Current Knowledge ◽  
Die Casting ◽  
Process Condition ◽  
Industrial Process ◽  
Casting Process ◽  
High Pressure Die Casting ◽  
Die Casting Process ◽  
Pressure Die Casting

This chapter presents the application of a neural network to the industrial process modeling of high-pressure die casting (HPDC). The large number of inter- and intradependent process parameters makes it difficult to obtain an accurate physical model of the HPDC process that is paramount to understanding the effects of process parameters on casting defects such as porosity. The first stage of the work was to obtain an accurate model of the die-casting process using a feed-forward multilayer perceptron (MLP) from the process condition monitoring data. The second stage of the work was to find out the effect of different process parameters on the level of porosity in castings by performing sensitivity analysis. The results obtained are in agreement with the current knowledge of the effects of different process parameters on porosity defects, demonstrating the ability of the MLP to model the die-casting process accurately.

Greenhouse Gas Emissions Attributable to High Pressure Die Casting

2009 ◽  
Vol 618-619 ◽  
pp. 21-26 ◽  
Author(s):  
Ambavalavanar Tharumarajah ◽  
Dayalan R. Gunasegaram ◽  
Paul Koltun
Keyword(s):  
High Pressure ◽  
Magnesium Alloy ◽  
Greenhouse Gas ◽  
Process Parameters ◽  
Die Casting ◽  
Ghg Emissions ◽  
High Pressure Die Casting ◽  
Cycle Times ◽  
Die Castings ◽  
Pressure Die Casting

In spite of die castings being amongst the highest volume items manufactured by the metalworking industry, the influence of high pressure die casting (HPDC) process parameters on greenhouse gas (GHG) emissions remains largely unreported. In this article, the authors discuss the effect of some HPDC process parameters on GHG emissions using cradle-to-gate life cycle assessment (LCA) for both aluminium and magnesium alloys. Although the impacts reduced with increasing yields in both cases, it was determined that the GHG impact of magnesium alloy HPDC was more sensitive to HPDC yield irrespective of the ratio of primary/secondary alloys in the melt charge. The reasons for this include a greater dependence of magnesium alloy HPDC on high-emitting primary processing and the use of the highly potent GHG SF6 for melting. For magnesium alloy HPDC, a decrease in quality assurance (QA) rejects and cycle times also reduced GHG emissions, although their influences were found to be an order lower than that of yield.

ATM: A Greener Variant of High Pressure Die Casting

2009 ◽  
Vol 618-619 ◽  
pp. 27-31
Author(s):  
Dayalan R. Gunasegaram ◽  
Michel Givord ◽  
Robert G. O'Donnell
Keyword(s):  
High Pressure ◽  
Die Casting ◽  
Ghg Emissions ◽  
Raw Material ◽  
Mass Reduction ◽  
Element Analysis ◽  
High Pressure Die Casting ◽  
Casting Technology ◽  
Pressure Die Casting

ATM high pressure die casting technology (ATM) is a variant of the traditional high pressure die casting (HPDC) process and is distinguishable by its characteristic lean runners that increase process yields. Reduced raw material consumption helps ATM leave a smaller footprint on the environment by lowering greenhouse gas (GHG) emissions during primary processing of the alloys and in their melting and handling in the foundry. Further avenues for reducing GHG emissions are raised by the use of ATM technology which improves the integrity of castings - facilitating the adoption of lighter weight components in automobiles. In the present paper, reductions in GHG emissions achieved by ATM are illustrated with the aid of a commercial case study; potential mass reduction opportunities for the automotive sector are explored with the aid of finite element analysis.

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