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Matthew, S., Dargusch, A., Dourb, G., Schauer, C., Dinnis, C.M. and Savaged, G. (2006) The Influence of Pressure during Solidification of High Pressure Die Cast Aluminium Tele-communication Components. Journal of Materials Processing Technology, 180, 37-43.
http://dx.doi.org/10.1016/j.jmatprotec.2006.05.001

has been cited by the following article:

  • TITLE: Comparative Analysis of the Effects of Pressure on the Mechanical Properties and Microstructure of Die Cast Aluminum Alloys

    AUTHORS: Kenneth N. Obiekea, Shekarau Y. Aku, Danjuma S. Yawas

    KEYWORDS: Aluminum Alloys, Die Casting, Microstructure, Pressure

    JOURNAL NAME: Journal of Minerals and Materials Characterization and Engineering, Vol.4 No.6, November 21, 2016

    ABSTRACT: A study of the effects of pressure on the microstructure and mechanical properties of two aluminum alloys (A1350 and A380) was carried out and subsequent analysis made. Pressure was regulated at various levels in the die cast machine. Samples of both alloys were cast under varying regulated applied pressure. The mechanical properties of both alloy casts were tested and microstructure analysis done and the results compared for both alloys. The results obtained show that hardness, tensile strength, yield strength and impact strengths for both alloy cast samples followed similar pattern in the casting process. The hardness values increased with applied pressure but not too significantly in both alloy casts as pressure rose in the casting process. The yield strength of both alloy casts also increased with applied pressure. The impact strength and elongations also increased with applied pressure in both alloy casts. Also the microstructure analysis carried out on both alloy casts showed similar pattern of structural changes in the morphologies of both alloy casts as grains became fine as pressure rose from 350 to 1400 kg/cm2. Models were developed for the results and for all the models developed, a close relationship with the experimental results were underlying in view of the small errors generated by them and can be used to predict the experimental values.