Design and Development of a High Pressure Die Casting Technique for Manufacturing Heavy Vehicle Engine Components

Abstract:

High pressure die casting is the best suitable method for the manufacturing of Heavy Vehicle Engine Components. The design of feed system was done by Pro E wildfire 4.0 and the movement of molten metal inside the cavity was analyzed using the Magma software for an injection pressure of 600 kgf/cm^2. The die for the Heavy Vehicle Engine Components was designed and manufactured. The engine components were manufactured with the help of 250 T locking force capacity high pressure die casting machine. The radiographic inspections for some of the sample components were carried. The hardness of the Heavy Vehicle Engine Components and the porosity levels were evaluated. The component’s dimensions were checked by a co-ordinate measuring machine.

• Periodical: Advanced Materials Research (Volumes 984-985)
• Pages: 641-647
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.984-985.641
• Online since: July 2014
• Authors: Ravindran Mohan*, Krishnan Padmanabhan
• Keywords: High Pressure Die Casting (HPDC), Numerical Simulation of Metal Flow, Solidification

References

[1] M.S. Dargusch, G. Dour, N. Schauer, C.M. Dinnis, G. Savage, The influence of pressure during solidification of high pressure die cast aluminium telecommunications components, J. Mater. Process. Technol. 180 (2006) 37–43.

DOI: 10.1016/j.jmatprotec.2006.05.001

[2] G. Kumar, S. Hegde, K.N. Prabhu, Heat transfer and solidification behaviour of modified A357 alloy, J. Mater. Process. Technol. 182 (1–3) (2007) 152–156.

DOI: 10.1016/j.jmatprotec.2006.07.024

[3] P.W. Cleary, J. Ha, M. Prakash, T. Nguyen, Short shots and industrial case studies: understanding fluid flow and solidification in high pressure die casting, Appl. Math. Modell. 34-8 (2010) 2018–(2033).

DOI: 10.1016/j.apm.2009.10.015

[4] V.D. Tsoukalas, Optimization of porosity formation in AlSi9Cu3 pressure die castings using genetic algorithm analysis, Mater. Des. 29 (2008) 2027–(2033).

DOI: 10.1016/j.matdes.2008.04.016

[5] Changyu S, Lixia W, Qian L. Optimization of injection molding process parameters using combination of artificial neural network and genetic algorithm method. J Mater Process Technol 2007; 183: 412–8.

DOI: 10.1016/j.jmatprotec.2006.10.036

[6] Tsoukalas VD. A study of porosity formation in pressure die casting using the Taguchi approach. J Eng Manufact 2004; 218: 77–86.

[7] Vinarcik EJ. High inteigrity die casting process. New York: John Wiley & Sons; (2003).

[8] Patrick H. Quantification of defects in pressure die casting Part 1. Analysis on micrograph and fractal dimension of shrinkage cavities. Fonderie Fondeur Aujour'hui 2007; 265: 12–25.

[9] Cocks DL. Assessment and control of die-casting defects. Die Casting Eng1989; 33(1): 26–8.