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Statistical Process Control Method Based on Weight Percent of Al-Si Alloy for Melting and Holding Process in Die Casting

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Signal Processing and Information Technology (SPIT 2011)

Abstract

We proposed a conceptual method of how to control liquid state of Al-Sialloys in holding process of the die casting. Given that, we determine the characteristic of the holding furnace based on weight percent (wt %) of the certain alloys and their elements. An Experimental case study deals with the application of the proposed method in company that produces castings by the die-casting technology.

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References

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Author information

Authors and Affiliations

  1. Faculty of Manufacturing Technologies, Technical University of Kosice, Bayerova 1, 080 01, Presov Slovakia, Slovak Republic

    Marcel Fedak, Pavol Semanco & Milan Micko

Authors
  1. Marcel Fedak
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  2. Pavol Semanco
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  3. Milan Micko
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Editor information

Editors and Affiliations

  1. Institute of Doctors Engineering and Scientists, Ouderkerk aan de Amstel, 1191 GT, Amsterdam,, The Netherlands

    Vinu V. Das

  2. London Metropolitan University, Tower Building 166-220 Holloway Road, N7 8DB, London, UK

    Ezendu Ariwa

  3. Block F, FTSM, Faculty of Information Scienceand Technology, Universiti Kebangsaan Malaysia UKM, 43600, Bangi, Selangor, Malaysia

    Syarifah Bahiyah Rahayu

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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Fedak, M., Semanco, P., Micko, M. (2012). Statistical Process Control Method Based on Weight Percent of Al-Si Alloy for Melting and Holding Process in Die Casting. In: Das, V.V., Ariwa, E., Rahayu, S.B. (eds) Signal Processing and Information Technology. SPIT 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32573-1_30

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  • DOI: https://doi.org/10.1007/978-3-642-32573-1_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32572-4

  • Online ISBN: 978-3-642-32573-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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