Microstructure and mechanical properties of AM50 alloy according to thickness and forming condition of the products by a high pressure die-casting process

2013 ◽  
Vol 27 (10) ◽  
pp. 2955-2960 ◽  
Author(s):  
Joonhong Park ◽  
Chunggil Kang
Keyword(s):  
Mechanical Properties ◽  
High Pressure ◽  
Die Casting ◽  
Casting Process ◽  
High Pressure Die Casting ◽  
Microstructure And Mechanical Properties ◽  
Forming Condition ◽  
Die Casting Process ◽  
Am50 Alloy ◽  
Pressure Die Casting

Mechanical Properties of Al-10 Mass % Si-Mg High-Pressure Die-Casting Alloy with Different Mg Content

2014 ◽  
Vol 783-786 ◽  
pp. 307-312 ◽  
Author(s):  
Emi Yanagihara ◽  
Shin Orii ◽  
Suguru Takeda ◽  
Takuya Iketani ◽  
Seiji Saikawa ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
High Pressure ◽  
Die Casting ◽  
Casting Process ◽  
High Pressure Die Casting ◽  
Microstructure Observation ◽  
Last Stage ◽  
Die Casting Process ◽  
Pressure Die Casting ◽  
Mg Content

The influence of Mg content on Al-10 mass % Si-0.05, 0.30 and 0.60 mass % Mg alloys castings were produced by high-pressure die-casting process, used by microstructure observation and evaluation of mechanical properties. With increasing Mg content, the main constituent phases (primary α-Al phase and eutectic phase) were not changed, but a small amount of phases crystallized at last stage of solidification (β-Al5FeSi, π-Al8Si6Mg3Fe and Mg2Si) were changed in the kind and the volume. In the mechanical property, 0.2%PS and UTS were increased, elongation and absorbed energy were decreased with increasing Mg content or difference of heat treatment. Because the fracture mode in primary α-Al phase was changed from ductile to brittle by precipitation strengthening.

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.

scholarly journals Failure analysis of shot–sleeves used in brass high pressure die–casting process

2019 ◽  
Vol 104 ◽  
pp. 177-188 ◽  
Author(s):  
Dorra Abid ◽  
Ahmed Ktari ◽  
Dhouha Mellouli ◽  
Nedia Gafsi ◽  
Nader Haddar
Keyword(s):  
High Pressure ◽  
Failure Analysis ◽  
Die Casting ◽  
Casting Process ◽  
High Pressure Die Casting ◽  
Die Casting Process ◽  
Pressure Die Casting
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