Analysis and Optimization of Steam Duct for Improving Performance of Steam Cleaner

Article Preview

Abstract:

Not only the price of a steam cleaner but also the performance of it should be considered to improve the competitive power of the products. In this study, a steam duct was optimized by changing the length of guide line for compensating the drawback of the unbalanced mass flow rate of steam from each outlet. For evaluating the mass flow rate of each outlet, a commercial CFD(computational fluid dynamics) code was used. In the process of the optimization, SQP(sequential quadratic programming) optimization algorithm was applied. The numerical method in this study can be widely used to develop a high performance domestic steam cleaner.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

52-55

Citation:

Online since:

August 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] S. Y. Seol, K. S. Heo, Z. Z. Li and J. H. Choi, A Study on Improving the Performance of Steam Generator of Vacuum Cleaner, Project Final Report of SAMSUNG Gwangju Electronic Ltd., Gwangju, Korea, (2007).

Google Scholar

[2] Z. Z. Li, K. S. Heo, J. H. Choi and S. Y. Seol, A study on improving the performance of steam generator using thermal analysis, Proceeding of KSME Annual Spring Conference: Manufacturing and Design Part, pp.252-253, (2008).

Google Scholar

[3] Z. Z. Li, K. S. Heo, J. H. Choi and S. Y. Seol, Design of steam generator using cartridge heater, Proceeding of KSME Annual Spring Conference: Manufacturing and Design Part, pp.250-251, (2008).

Google Scholar

[4] Z. Z. Li, K. S. Heo, J. H. Choi and S. Y. Seol, A study on steam generator for domestic steam cleaner with cartridge heater, The 2nd International Workshop on Education Technology and Computer Science, pp.69-73, (2010).

DOI: 10.1109/etcs.2010.225

Google Scholar

[5] H. K. Versteeg and W. Malasekera, An Introduction to Computational Fluid Dynamic, Longman Science & Technical., New York, USA, (1995).

Google Scholar

[6] M. N. Ozisik, Heat Conduction, 2nd Edition, John Wiley & Sons, INC., New York, USA, (1993).

Google Scholar

[7] B. Adrian, Convection Heat Transfer, John Wiley & Sons, INC., New York, USA, (1995).

Google Scholar

[8] Y. S. Lee, T. J. Kang and J. K. Lee, A study on heat transfer through plain woven fabric. An approach through finite difference method, Journal of the Korean Fiber Society, Vol. 28, No. 9, pp.707-714, (1991).

Google Scholar

[9] J. E. Oh, C. H. Lee, H. J. Sim, H. J. Lee, S. H. Kim and J. Y. Lee, Development of a system for diagnosing faults in rotating machinery using vibration signals, International Journal of Precision Engineering and Manufacturing, Vol. 8, No. 3, pp.54-59, (2007).

Google Scholar

[10] M. Sahin and H. J. Wilson, A semi-staggered dilation-free finite volume method for the numerical solution of viscoelastic fluid flows on all-hexahedral elements, Journal of Non-Newtonian Fluid Mechanics, Vol. 147, No. 1-2, pp.79-91, (2007).

DOI: 10.1016/j.jnnfm.2007.06.008

Google Scholar

[11] J. S. Arora, Introduction to Optimum Design, McGraw-Hill, 2nd Edition, (2001).

Google Scholar

[12] Z. Z. Li, K. S. Heo and S. Y. Seol, Time-dependent optimal heater control in thermoforming preheating using dual optimization steps, International Journal of Precision Engineering and Manufacturing, Vol. 9, No. 4, pp.51-56, (2008).

Google Scholar

[13] Z. Z. Li, Y. D. Shen, K. S. Heo, J. W. Lee, S. Y. Seol, Y. H. Byun and C. J. Lee, Feasible optimal design of high temperature vacuum furnace using experiences and thermal analysis database, Journal of Thermal Science and Technology, Vol. 2, No. 1, pp.123-133, (2007).

DOI: 10.1299/jtst.2.123

Google Scholar

[14] Z. Z. Li, M. Y. Park, J. W. Lee, Y. H. Byun and C. J. Lee, Optimal design of high temperature vacuum furnace using thermal analysis database, Transaction of the KSME B, Vol. 30, No. 6, pp.594-601, (2006).

DOI: 10.3795/ksme-b.2006.30.6.594

Google Scholar