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Erschienen in:
Rotary Forging of Hollow Components with Flanges Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

9. Remote Monitoring Systems for Quality Management Metal Pouring

verfasst von : Vladimir F. Minakov, Tatyana E. Minakova

Erschienen in: Advances in Mechanical Engineering

Verlag: Springer International Publishing

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Abstract

In this chapter we reveal the most influential quality on processes of production of details of car production at the technological stage to be molding of cast iron in forms, A scheme of remote monitoring of provision of a filling ladle is developed for ensuring quality of filling of metal during production of metal products. The device of remote control of positioning of a ladle with the melted metal is developed. The method of decomposition of linear optical spectral characteristics of objects offers a harmonious row. The characteristics of reflection of objects of the spectrophotometer created by the Swiss firm X-Rite are investigated. Comparison of experimental data and results of submission of characteristics by Fourier’s ranks and linearity allows a harmonious row to be executed. An increase of accuracy of decomposition in comparison with Fourier’s number is proved. For metrological levels of errors the required number of members of a number of decompositions is defined.

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Vorheriges Kapitel New Modelling and Calculation Methods for Vibrating Screens and Separators
Nächstes Kapitel Acoustic Emission Monitoring of Leaks
Literatur
1.
Arustamyan AI, Minakov VF (2006) Device for control of provision of a ladle with the melted metal. The patent for the useful model, RUS 69233. 25 April 2006 (in Russian)
2.
Arustamyan AI, Minakov VF, Minakova TE (2006) Automation of control of provision of a ladle when pouring cast iron. In: Materials XXXV of scientific and technical conference on results of work of the faculty, graduate students and students of NCSTU, vol 1. Stavropol: NCSTU, pp 55–56 (in Russian)
3.
Arustamyan AI, Minakov VF (2006) Synthesis of a spectral characteristic of sensitivity of sensors. Materials X of the regional scientific and technical conference “High School Science—to the North Caucasian Region”. Stavropol: NCSTU, pp 100–101 (in Russian)
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Astel A, Małek S (2008) Multivariate modeling and exploration of environmental n-way data from bulk precipitation quality control. J Chemometr 22(11–12):738–746CrossRef
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Fujiwara K, Kano M, Hasebe S, Takinami A (2009) Soft-sensor development using correlation-based just-in-time modeling. AIChE J 55(7):1754–1765CrossRef
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Jämsä-Jounela SL (2001) Current status and future trends in the automation of mineral and metal processing. Control Eng Pract T9(9):1021–1035
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Kano M, Nakagawa Y (2008) Data-based process monitoring, process control, and quality improvement: recent developments and applications in steel industry. Comput Chem Eng 32:12–24CrossRef
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Maslov VI, Arustamyan AI, Minakov VF (2012) Optical control in a control system of quality of production of piston rings. Scientific and technical messenger of information technologies, mechanics and optics. 2(78):16–20 (in Russian)
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Maslov VI, Arustamyan AI (2012) Improvement of quality of production of piston rings. Scientific and technical sheets of the St. Petersburg state polytechnical university. Sci Educ 1(142):132–136 (in Russian)
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Maslov VI, Arustamyan AI, Minakov VF (2012) Mathematical model of spectral characteristics of radiations and sensors. In: Materials of the 12th international scientific and methodical conference “Informatics: problems, methodology, technologies”, The Voronezh state university, on February 8–10, 2012 Voronezh: publishing and printing center of the Voronezh state university. pp 241–242 (in Russian)
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Maslov VI, Arustamyan AI, Minakov VF (2013) Remote control in a control system of quality of filling of metal. Mod Eng: Sci Educ 3:450–459 (in Russian)
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Maslov VI, Arustamyan AI, Minakov VF (2012) WEB services in a control system of quality machine-building пpoдyкции. Mod Mech Eng Sci Educ 2:472–478 (in Russian)
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Maslov VI, Minakov VF (2012) E elasticity of quality at the price and expenses. Stan Qual 9(903):88–90 (in Russian)
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Maslov VI, Minakov VF (2012) Kritery of efficiency in a control system of quality of production of the enterprise. Scientific and technical sheets of the St. Petersburg state polytechnical university. Inform Telecommun Manage 6(162):179–184 (in Russian)
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Mikkelsen Ø, Skogvold SM, Schrøder KH (2005) Continouos heavy metal monitoring system for application in river and seawater. Electroanalysis 17(5–6):431–439CrossRef
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Minakov VF, Arustamyan AI (2010) Technology of control of provision of a ladle when pouring metal. Mater Sci Questions 4(64):72–78 (in Russian)
17.
Minakov VF, Makarchuk TA, Shchugoreva VA (2014) The WEB technologies 2.0 in a control system of quality. Res J Int Stud 1–1(20):70–72 (in Russian)
18.
Minakov VF, Minakova TE (2014) Linearly—the harmonious analysis of optical spectra. In: Materials of the 3rd scientific and practical internet-conference interdisciplinary researches in the field of mathematical modeling and informatics. Ulyanovsk. pp 288–294 (in Russian)
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Pelleg J (2013) Mechanical properties of materials. Series: solid mechanics and its applications, vol 190. Springer, Berlin, 634 p
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Wang H et al (2009) Data driven fault diagnosis and fault tolerant control: some advances and possible new directions. Acta Automatica Sin 35(6):739–747
Metadaten
Titel
Remote Monitoring Systems for Quality Management Metal Pouring
verfasst von
Vladimir F. Minakov
Tatyana E. Minakova
Copyright-Jahr
2015
Buch
Advances in Mechanical Engineering

Print ISBN: 978-3-319-15683-5

Electronic ISBN: 978-3-319-15684-2

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-15684-2_9

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