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Preference selection index approach for optimization of V down perforated baffled roughened rectangular channel

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  • Chamoli, Sunil

Abstract

The research work analyzed the impact of insertion of the V down perforated baffles in the performance of the channel flow. The test apparatus is created, and all experimentation completed in the test rig and the information gathered for Nusselt number and friction factor for distinctive arrangement of roughness parameters. The test results demonstrate the critical improvement in both the Nusselt number and friction factor of the roughened channel over the smooth conduit. The open area ratio has a significant effect on the performance parameters, and it was found that there is a significant decrement in the pressure drop with an increase in the open area ratio. Preference selection method implied on performance prediction of roughened channel with a distinctive arrangement of roughness parameters, configurations using different PDCs including Nusselt number ratio, friction factor ratio, thermo hydraulic performance factor, thermal efficiency, effective efficiency and exergetic efficiency, respectively. The results of PSI (Preference selection index) show that the optimal formulation among all the configurations is with an open area ratio (β): 12%, relative roughness pitch (P/e): 2 and relative roughness height (e/H): 0.4.

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  • Chamoli, Sunil, 2015. "Preference selection index approach for optimization of V down perforated baffled roughened rectangular channel," Energy, Elsevier, vol. 93(P2), pages 1418-1425.
    • Handle: RePEc:eee:energy:v:93:y:2015:i:p2:p:1418-1425
    DOI: 10.1016/j.energy.2015.09.125
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    1. R.V. Rao & D. Singh & F. Bleicher & C. Dorn, 2012. "Weighted Euclidean distance-based approach as a multiple attribute decision making method for manufacturing situations," International Journal of Multicriteria Decision Making, Inderscience Enterprises Ltd, vol. 2(3), pages 225-240.
    2. Chamoli, Sunil & Thakur, N.S. & Saini, J.S., 2012. "A review of turbulence promoters used in solar thermal systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3154-3175.
    3. Choudhary, Devendra & Shankar, Ravi, 2012. "An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India," Energy, Elsevier, vol. 42(1), pages 510-521.
    4. Sachin K. Patil & Ravi Kant, 2014. "Ranking the barriers of knowledge management adoption in supply chain using fuzzy AHP method," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 8(1), pages 52-75.
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