Support for Ingate Design by Analysing the Geometry of High Pressure Die Cast Geometries Using Dijkstra’s Shortest Path Algorithm

2016 ◽  
Vol 1140 ◽  
pp. 400-407
Author(s):  
Florian Heilmeier ◽  
Daniel Goller ◽  
Daniel Opritescu ◽  
Christopher Thoma ◽  
Frank Rieg ◽  
...  

A new approach for the analysis of high pressure die casting geometries concerning form filling is introduced. It enables the reduction of simulation cycles needed in the product development process, as they are highly time and cost intensive. Therefore, we developed an analysis tool, which uses shortest paths from each part of the geometry to the chosen ingate surfaces. This way, and by evaluating the information given by basic filling simulations, we can evaluate the usability of a given geometry for a high pressure die casting process and are able to suggest useful strategies to place ingates and to design a filling system.

Author(s):  
M. Imad Khan ◽  
Saeid Nahavandi ◽  
Yakov Frayman

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.


2019 ◽  
Vol 104 ◽  
pp. 177-188 ◽  
Author(s):  
Dorra Abid ◽  
Ahmed Ktari ◽  
Dhouha Mellouli ◽  
Nedia Gafsi ◽  
Nader Haddar

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