Modeling of Heat Treatment of Randomly Distributed Loads in Multi-Zone Continuous Furnaces

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Abstract:

A model for the heat treatment of randomly distributed metal parts processed in multi-zone continuous mesh-belt furnaces has been developed. The model accounts for the heat transfer by convection and radiation to the load and the belt. The effect of gas radiation due to the presence of CO2 and/or H2O gases in the furnace atmosphere has been accounted for. The effect of conduction, convection, and radiation within the parts has been considered. The effective thermal properties of the load have been calculated using a new model developed for randomly distributed parts. The effective thermal properties model has been developed using experimental data obtained from transient experiments carried out at the Thermal Processing Laboratory (TPL) of McMaster University. The continuous furnace model is capable of predicting temperature distribution within the load and the belt. It has been validated using real-life data obtained from test runs carried out at two heat treatment facilities in Ontario, Canada. The effects of load density, load emissivity and belt speed on furnace productivity have been investigated using the present continuous furnace model.

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Materials Science Forum (Volumes 706-709)

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289-294

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January 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] G.E. Totten, http: /www. getottenassociates. com/pdf_files/Heat%20Treating%202020. pdf.

Google Scholar

[2] J. Kabata, A. Skorek and V. Rajagopalan, Proceedings of the Canadian Conference on Electrical and Computer Engineering 1 (1994), pp.89-92, Halifax, NS, Canada.

Google Scholar

[3] J. Harish and P. Dutta, Ironmaking Steelmaking 32 (2005), p.151–158.

Google Scholar

[4] K.S. Chapman, S. Ramadhyani and R. Viskanta, Metall. Trans. 22B (1991), p.513–521.

Google Scholar

[5] P. Marino, A. Pignotti and D. Solis, Lat. Am. Appl. Res., Vol. 32, no. 3 (2002), pp.257-261.

Google Scholar

[6] S.H. Jeong, J.J. Yi, J.K. Kim and M.Y. Ha, KSME Journal, Vol. 5 (1991), pp.16-21.

Google Scholar

[7] S.S. Sahay and P.C. Kapur, Ironmaking & Steelmaking, Vol. 34, No. 3 (2007), pp.262-268.

Google Scholar

[8] J. Kang, T. Huang, R. Purushothaman, W. Wang and Y. Rong, Transactions of Materials and Heat Treatment 25 (2004), p.764–768.

Google Scholar

[9] A.A. Hassan and M.S. Hamed, Journal of ASTM International 5-1 (2008), pp.1-17.

Google Scholar

[10] C. Li and G.P. Peterson, Int. J. Heat Mass transfer 49 (2006), pp.4095-4105.

Google Scholar

[11] A.A. Hassan, and M.S. Hamed, A New Model for the Effective Thermal Properties of Randomly Packed Load of Metal Parts of Arbitrary Geometries, submitted to the Journal of Material Processing Technology.

Google Scholar