Document Type : Original Article


1 Department of Mechanical Engineering, National Institute of Technology, Kurukshetra, Haryana 136119, India

2 School of Mechanical Engineering, Lovely Professional University, Phagwara-14441


The paper deals with falling film heat transfer across horizontal copper tubes at different tube surface geometries, mass flow rates, heat fluxes and weight percentage of salt in water salt solution at atmospheric pressure. The falling film heat transfer coefficient is significantly affected by heat flux, film Reynolds number and water salt solution for three types of augmented tubes viz. spiral, splined and smooth. This paper considers the influence of operating parameters on heat transfer coefficient using Fuzzy-Topsis applications. The experimental results reveal that falling film heat transfer has been greatly enhanced in case of spiral tube when compared with splined and smooth tubes. The spiral tube shows significant heat transfer performance than other two tubes for a given heat flux and Reynolds number as heat flux increases surface temperature also increases and increment in surface temperature of smooth tube is greater than spiral and spline tube for given heat flux and Reynolds number. As mass flow rate increases, surface temperature of all three tubes decreases but for a given heat flux and Reynolds number smooth tube has more surface temperature than other two tubes.


Main Subjects

[1] Gorgy, E.I., 2008. Pool boiling of R-134a and R-123 0n smooth and enhanced tubes. Master`s thesis. Kanass
University, Department of Mechanical and Nuclear Engineering.
[2] Habert, M., 2009. Falling Film Evaporation on a Tube Bundle with Plain and enhanced tubes. Ph.D. Thesis. Ecole Polytechnique Federale de Lausanne, Laboratory of Heat and Mass Transfer, Lausanne, Switzerland.
[3] Moeykens, S.A., Huebsch, W.W., Pate, M.B., 1995. Heat transfer of R-134a in single tube spray evaporation including lubrificant effect and enhanced surface results. ASHRAE Trans. 101, 111-123.
[4] Chien, L.H., Webb, R.L., 1998a. A parametric study of nucleate boiling on structured surfaces, part 1: effect of tunnel dimensions. J. Heat Transfer 120, 1042-1048.
[5] Y. Fujita, M. Tsutsui, Experimental and analytical study of evaporation heat transfer in falling films on horizontal tubes, Proceedings of the 10th international heat transfer conference, Brighton, vol. 6 1994, p. 175-80.
[6] Y. Fujita, M. Tsutsui, Evaporation heat transfer of falling films on horizontal tube. Part 2.Experimental study, Heat Transfer –Jpn Res 24 (1995) 17-31.
[7] X. Hu, A.M. Jacobi, The intertube falling film. Part 1. Flow characteristics, mode transitions, and hysteresis, J Heat Transfer 118 (1996) 616-625.
[8] Z.H. Liu, J. Yi, Enhanced evaporation heat transfer of water and R-11  falling film with the roll-worked enhanced tube bundlie, Exp Thermal Fluid Science 25 (2001) 447-455.
[9] G. Wang, Y. Tan, S. Wang, N. Cui, A study of spray falling film boiling on horizontal mechanically made porous surface tubes, Proceedings of the international symposium of heat and mass transfer enhancement and energy conservation(ISHTEEC), Guangzhou, 1988, p. 425-32.
[10] X. Zeng, M. C. Chyu, Z. H. Ayub, Ammonia spray evaporation heat transfer performance of single long-fin and corrugated tubes, ASHRAE Trans 104 (1A) (1998) 185-196.
[11] H. Kuwahara, A. Yasukawa, W. Nakayama, T. Yanagida, Evaporative heat transfer from horizontal enhanced tubes in thin film flow, Heat Transfer-Jpn Res 19 (1990) 83-97.
[12] Vats, Gaurav, and Rahul Vaish. Piezoelectric material selection for transducers under fuzzy environment. Journal of Advanced Ceramics 2.2 (2013): 141-148.
[13] Vats, Gaurav, and Rahul Vaish. Phase Change Materials Selection for Latent Heat Thermal Energy Storage Systems (LHTESS): An Industrial Engineering Initiative Towards Materials Science. Advanced Science Focus 2.2 (2014): 140-147.
[14] Vats, G., & Vaish, R. (2014b). Selection of Lead-Free Piezoelectric Ceramics. International Journal of Applied Ceramic Technology,11(5): 883-893.
[15] Vats, G., & Vaish, R. (2014c). Selection of optimal sintering temperature of K0.5Na0.5NbO3 ceramics for electromechanical
applications. Journal of Asian Ceramic Societies. 2(1): 5-10.
[16] Vats, G., Vaish, R., & Bowen, C. R. (2013). Selection of Ferroelectric Ceramics forTransducers and Electrical Energy Storage Devices. International Journal of Applied Ceramic Technology.
[17] Vats, S., Vats, G., Vaish, R., & Kumar, V. (2014). Selection of optimal electronic toll collection system for India: A subjective-fuzzy decision making approach. Applied Soft Computing, 21(0), 444-452.
[18] Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. European Journal of Operational Research, 48(1), 9-26.
[19] Rao, R. V. (2006). A material selection model using graph theory and matrix approach. Materials Science and Engineering: A, 431(1), 248-255.
[20] Azimi, M., Taghizadeh, H., Farahmand, N., & Pourmahmoud, J. (2014). Selection of industrial robots using the Polygons area method. International Journal of Industrial Engineering Computations, 5(4), 631-646.
[21] Deng H, Y. C., Willis RJ. (2000). Inter-company comparison using TOPSIS with objective weights. Comput Oper Res 27, 963–973.
[22] Opricovic, S., & Tzeng, G.-H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445-455.
[23] Azar, A., Olfat, L., Khosravani, F., & Jalali, R. (2011). A BSC method for supplier selection strategy using TOPSIS and VIKOR: A case study of part maker industry. Management Science Letters, 1(4), 559-568.
[24] Sanayei, A., Farid Mousavi, S., & Yazdankhah, A. (2010). Group decision making process for supplier selection with VIKOR under fuzzy environment. Expert Systems with Applications, 37(1), 24-30.
[25] Shanian, A., & Savadogo, O. (2006). TOPSIS multiple-criteria decision support analysis for material selection of metallic bipolar plates for polymer electrolyte fuel cell. Journal of Power Sources, 159(2), 1095-1104.
[26] Shemshadi, A., Shirazi, H., Toreihi, M., & Tarokh, M. J. (2011). A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Systems with Applications, 38(10), 12160-12167.
[27] Ayağ, Z., & Özdemir, R. G. (2006). A fuzzy AHP approach to evaluating machine tool alternatives. Journal of Intelligent Manufacturing, 17(2), 179-190.
[28] San Cristóbal, J. (2011). Multi-criteria decision-making in the selection of a renewable energy project in spain: The Vikor method. Renewable energy, 36(2), 498-502.
[29] Peide, L., & Minghe, W. (2011). An extended VIKOR method for multiple attribute group decision making based on generalized interval-valued trapezoidal fuzzy numbers. Scientific Research and Essays, 6(4), 765-776.
[30]  Lai, Y.-J., T.-Y. Liu, and C.-L. Hwang, TOPSIS for MODM. European Journal of Operational Research, 1994.76(3): 486-500.
[31] Wang, Y.-M. and T.M.S. Elhag, Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Systems with Applications, 2006.31(2): 309-319.
[32] Jahanshahloo, G.R., F.H. Lotfi, and M. Izadikhah, Extension of the TOPSIS method for decision-making problems with fuzzy data. Applied Mathematics and Computation, 2006.181(2): 1544-1551.
[33] Heydar Maddah , Reza Aghayari , Mojtaba Mirzaee, Mohammad Hossein Ahmadi, Milad Sadeghzadeh , Ali J. Chamkha, Factorial experimental design for the thermal performance of a double pipe heat exchanger using Al2O3-TiO2 hybrid nanofluid. International Communications in Heat and Mass Transfer, 2018. 97: 92-102.
[34] Milad Sadeghzadeh, Mohammad Hossein Ahmadi, Mostafa Kahani, Hossein Sakhaeinia, Hossein Chaji, Smart modeling by using artificial intelligent techniques on thermal performance of flat‐plate solar collector using nanofluid. Energy Science and Engineering, 2019,