Determination of the Thermal Conductivity of Metal-Polymers

Abstract:

The use of metal-polymers in the manufacture of mold-forming parts allows for the significant reduction in price and time used in manufacturing of parts. Using data on the thermal conductivity of metal-polymers in calculations of the cooling system of molds allows calculating the optimal cycle of obtaining the product. The authors propose a method of determining the coefficient of heat transfer of metal-polymers based on a die matrix, filled with aluminum. The chosen equipment or measuring tool by them, allows determining the heat transfer coefficient of the material in use. The values of the coefficient of heat transfer of the material in question, obtained in the course of the research can be use in different databases of applications used for modeling production by injection molding. The described method of determining the coefficient of heat transfer may be repeated for samples of metal-polymers.

• Periodical: Materials Science Forum (Volume 973)
• Pages: 9-14
• DOI: https://doi.org/10.4028/www.scientific.net/MSF.973.9
• Online since: November 2019
• Authors: Mikhail S. Chepchurov*, Nikolay S. Lubimyi, Vladimir P. Voronenko, Daniel R. Adeniyi
• Keywords: Heat Flow, Metal-Polymer, Mold, Product, Pyrometer, Schedule, Temperature, Thermal Conductivity

References

[1] M. Bichler, Parts from Plastmass - Cast without defects, Heidelberg: Tsechner, Speyer, 1999, p.112.

[2] N.S. Lubimyi, M.S. Chepchurov, B.S. Chetverikov, N.A. Tabekina, E.I. Evtushenko, The technological heredity in the manufacture of the metal-polymeric build-forming molds, ARPN Journal of Engineering and Applied Sciences 11:20 (2016) 12302-12310.

[3] N.S. Lubimyi, M.S. Chepchurov, E.I. Evtushenko, Thermostating calculation for combined metal-metal polymer press mold for plastic casting, International Journal of Pharmacy & Technology 8:4 (2016) 24889-24899.

[4] Filatov, V.I. Technologicheskaya podgatovka protsessov formovaniya izdeliy' iz plast mass / V.I. Filatov, V.D. Korsakov. - L .: Politechnika, 1991. - 352 p.

[5] M.V. Fabretto, D.R. Evans, M. Mueller, K. Zuber et al., Polymeric Material with Metal-Like Conductivity for Next Generation Organic Electronic Devices, Chemistry of Materials 24 (2012) 3998-4003.

DOI: 10.1021/cm302899v

[6] Y. Xia, K. Sun, J. Ouyang, Solution–processed metallic conducting polymer films as transparent electrode of optoelectronic devices, Adv. Mater 24 (2012) 2436–2440.

DOI: 10.1002/adma.201104795

[7] Pryamye izmereniya s mnogokratnymi nablyudeniyami (Direct measurements with multiple observations), GOST 8.207-76 IGG.

[8] Normiruemye kharakteristiki sredstv izmereniya (Normalized characteristics of measuring instruments), GOST 8.0009-84 IGG.

[9] A.D. Myshkis, Elementy teorii matematicheskikh modeley (The elements of mathematical theory and modeling), M.: KomKniga, 2007, p.192.

[10] A.P. Babichev, N.A. Babushkina, A.M. Bratkovskiy et. al., Fizicheskiye velichiny: spravochnik (Physical Values: Reference Book), in I.S. Grigor'yeva, Ye.Z. Meylikhova (Eds.), M.: Energoatomizdat, 1991, p.1232.

[11] E.F. Dolinskiy, Obrabotka rezul'tatov izmereniy (Calculation and Report), M.: Izd-vo standartov, 1973, p.192.

[12] A.G. Korotkikh, Teploprovodnost' materialov: uchebnoye posobiye (Thermal Conductivity of Material: Student's book), Tomsk Polytechnic University, 2011, p.97.

[13] A.F. Boyko, E.Y. Kudenkov, Tochnyy metod rascheta neobkhodimogo kolichestva povtornykh opytov (Precise technique for calculating a required number of replicated experiments), Vestnik Belgorodskogo gosudarstvennogo tekhnologicheskogo universiteta im. V.G. Shukhova (Bulletin of Belgorod State Technological University named after V.G. Shukhov) 8 (2016) 128–132.

DOI: 10.17277/vestnik.2016.03.pp.420-426

[14] Statisticheskiye metody. Rukovodstvo po primeneniyu v sootvetstvii s GOST R ISO 9001 (Statistical methods: Manual instructions in accordance with GOST R ISO 9001), M.: Standartinform, GOST R ISO/TO 10017-2005. (2005).

DOI: 10.14489/hb.2014.07.pp.057-064

[15] C. Bunks, J.P. Chancelier, F. Delebecque et. al., Engineering and Scientific Computing with Scilab, C. Gomez, Ed. Boston, Basel, Berlin: Birkh¨auser, (1998).

DOI: 10.1007/978-1-4612-1584-4

[16] Scilab Enterprises. Scilab: Free and Open Source software for numerical computation (OS, Version 5.5.2), 2012, Information on http://www.scilab.org.