Experimental study of heat exchangers and mixing machines operation optimisation methods

Viktor Zavodyannyi, Mykola Voloshyn, Volodymyr Kravchenko, Valentina Zubenko, Roman Zhesan
Abstract

The study aimed to optimise the operation of heat exchangers and mixing machines to improve the efficiency of production processes. An experimental approach with models that describe the processes of heat transfer, hydraulic resistance and mixture homogeneity was used to determine the optimal equipment parameters. The study showed that optimisation of the operation of heat exchangers can lead to a significant increase in energy efficiency and a reduction in operating costs. The best results were achieved at a coolant temperature of 90°C and a pressure of 5 bar, which resulted in a maximum heat transfer of 350,000 W. The study determined that reducing the hydraulic resistance to the optimum level can reduce energy costs for pumping coolant by 15%. The study also showed that to achieve maximum homogeneity of the mixture in mixing machines, the optimal rotation speed is 400 rpm. This resulted in a mixture homogeneity index of 16. The study determined that the temperature of the components fed into the mixing machines has a significant impact on the final product quality. For example, the optimum temperature for certain components had reduced mixing time by 10%, which had contributed to an increase in overall productivity. The integration of automatic control systems, such as the automatic control system, allowed for real-time monitoring and adjustment of equipment parameters, which further increased the efficiency of production processes. In addition, the study determined that comprehensive optimisation of the parameters of the devices’ operation allows for an increase in the duration of their life cycle, reducing the frequency of maintenance by 20%. Optimisation of the operation of heat exchangers and mixing machines significantly increases production efficiency and the quality of final products, contributing to cost reduction and increasing equipment reliability

Keywords

materials, temperature, pressure, optimum parameters, efficiency improvement

Suggested citation
Zavodyannyi, V., Voloshyn, M., Kravchenko, V., Zubenko, V., & Zhesan, R. (2024). Experimental study of heat exchangers and mixing machines operation optimisation methods. Machinery & Energetics, 15(4), 82-93. https://doi.org/10.31548/machinery/4.2024.82
References

[1] Abeykoon, C. (2020). Compact heat exchangers – design and optimization with CFD. International Journal of Heat and Mass Transfer, 146, article number 118766. doi: 10.1016/j.ijheatmasstransfer.2019.118766.

[2] Aresti, L., Christodoulides, P., & Florides, G. (2020). A review of the design aspects of ground heat exchangers. Renewable and Sustainable Energy Reviews, 92, 757-773. doi: 10.1016/j.rser.2018.04.053.

[3] Babak, V.P., & Kovtun, S.I. (2019). Calibration thermoelectric heat flux sensor in the diagnostic system of thermal state of electric machines. Technical Electrodynamics, 2019(1), 89-92. doi: 10.15407/techned2019.01.089.

[4] Bahiraei, M., Foong, L.K., Hosseini, S., & Mazaheri, N. (2021). Predicting heat transfer rate of a ribbed triple-tube heat exchanger working with nanofluid using neural network enhanced by advanced optimization algorithms. Powder Technology, 381, 459-476. doi: 10.1016/j.powtec.2020.12.003.

[5] Biçer, N., Engin, T., Yaşar, H., Büyükkaya, E., Aydın, A., & Topuz, A. (2020). Design optimization of a shell-and-tube heat exchanger with novel three-zonal baffle by using CFD and Taguchi method. International Journal of Thermal Sciences, 155, 106-118. doi: 10.1016/j.ijthermalsci.2020.106417.

[6] Dong, X., Liao, Z., Sun, J., Huang, Z., Jiang, B., Wang, J., & Yang, Y. (2020). Simultaneous optimization of a heat exchanger network and operating conditions of organic Rankine cycle. Process Systems Engineering, 59(25), 11596-11609. doi: 10.1021/acs.iecr.0c01708.

[7] Elsido, C., Martelli, E., & Grossmann, I.E. (2021). Multiperiod optimization of heat exchanger networks with integrated thermodynamic cycles and thermal storages. Computers & Chemical Engineering, 149, article number 107293. doi: 10.1016/j.compchemeng.2021.107293.

[8] Fawaz, A., Hua, Y., Le Corre, S., Fan, Y., & Luo, L. (2022). Topology optimization of heat exchangers: A review. Energy, 252, article number 124053. doi: 10.1016/j.energy.2022.124053.

[9] Filimonov, S., & Yashchenko, S. (2023). Improved design of vibratory plow with piezoceramic actuator. Bulletin of Cherkasy State Technological University, 28(1), 23-31. doi: 10.24025/2306-4412.1.2023.268433.

[10] Ghalandari, M., Shahrestani, M.I., Maleki, A., Shadloo, M.S., & Assad, M.E. (2021). Applications of intelligent methods in various types of heat exchangers: A review. Journal of Thermal Analysis and Calorimetry, 145, 1837-1848. doi: 10.1007/s10973-020-10425-3.

[11] Gürses, D., Mehta, P., Sait, S.M., Kumar, S., & Yildiz, A.R. (2023). A multi-strategy boosted prairie dog optimization algorithm for global optimization of heat exchangers. Materials Testing, 65(9), 1396-1404. doi: 10.1515/mt-2023-0082.

[12] Hachem, H., & Gheith, R. (2018). Technological challenges and optimization efforts of the Stirling machine: A review. Energy Conversion and Management, 171, 1365-1387. doi: 10.1016/j.enconman.2018.06.042.

[13] Hatskyi, A., & Hatskyi, І. (2023). Synthesis of microclimate control in the emergency air supply chamberMining Journal of Kryvyi Rih National University, 21(1), 163-169.

[14] Havrylenko, Y., Kholodniak, Y., Halko, S., Vershkov, O., Miroshnyk, O., Suprun, O., Dereza, O., Shchur, T., & Śrutek, M. (2021). Representation of a monotone curve by a contour with regular change in curvature. Entropy, 23(7), article number 923. doi: 10.3390/e23070923.

[15] Jamil, M.A, Goraya, T.S., Shahzad, M.W., & Zubair, S.M. (2020). Exergoeconomic optimization of a shell-and-tube heat exchanger. Energy Conversion and Management, 226, article number 113462. doi: 10.1016/j.enconman.2020.113462.

[16] Klemeš, J.J., Wang, Q.-W., Varbanov, P.S., Zeng, M., Chin, H.H., Lal, N.S., Li, N.-Q., Wang, B., Wang, X.-C., & Walmsley, T.G. (2020). Heat transfer enhancement, intensification and optimisation in heat exchanger network retrofit and operation. Renewable and Sustainable Energy Reviews, 120, article number 109644. doi: 10.1016/j.rser.2019.109644.

[17] Kola, P.V., Pisipaty, S.K., Mendu, S.S., & Ghosh, R. (2021). Optimization of performance parameters of a double pipe heat exchanger with cut twisted tapes using CFD and RSM. Chemical Engineering and Processing – Process Intensification, 163, article number 108362. doi: 10.1016/j.cep.2021.108362.

[18] Krzywanski, J. (2022). A general approach in optimization of heat exchangers by bio-inspired artificial intelligence methods. Energies, 12(33), article number 4741. doi: 10.3390/en12234441.

[19] Lerou, P.P., Veenstra, T.T., Burger, J.F., Brake, H.J., & Rogalla, H. (2005). Optimization of counterflow heat exchanger geometry through minimization of entropy generation. Cryogenics, 45(10-11), 659-669. doi: 10.1016/j.cryogenics.2005.08.002.

[20] Liang, X., Li, A., Rollett, A.D., & Zhang, Y.J. (2022). An isogeometric analysis-based topology optimization framework for 2D cross-flow heat exchangers with manufacturability constraints. Engineering with Computers, 34, 4829-4852. doi: 10.1007/s00366-022-01716-4.

[21] Lodhi, S.K., Hussain, H.K., & Hussain, I. (2024). Using AI to increase heat exchanger efficiency: An extensive analysis of innovations and uses. International Journal of Multidisciplinary Sciences and Arts, 3(4). doi: 10.47709/ijmdsa.v3i4.4617.

[22] Martinelli, M., Elsido, C., Grossmann, I.E., & Martelli, Е. (2022). Simultaneous synthesis and optimization of refrigeration cycles and heat exchangers networks. Applied Thermal Engineering, 206, article number 118052. doi: 10.1016/j.applthermaleng.2022.118052.

[23] Mohammadi, M.H., Abbasi, H.R., Yavarinasab, A., & Pourrahmani, H. (2020). Thermal optimization of shell and tube heat exchanger using porous baffles. Applied Thermal Engineering, 170, article number 115005. doi: 10.1016/j.applthermaleng.2020.115005.

[24] Orumbayev, R.K., Bakhtiyar, B.T., Umyshev, D.R., Kumargazina, M.B., Otynchiyeva, M.T., & Akimbek, G.A. (2021). Experimental study of ash wear of heat exchange surfaces of the boiler. Energy, 215, article number 119119. doi: 10.1016/j.energy.2020.119119.

[25] Pordanjani, A.H., Vahedi, S.M., Aghakhani, S., & Afrand, M., Mahian, O., & Wang, L.-P. (2020). Multivariate optimization and sensitivity analyses of relevant parameters on efficiency of scraped surface heat exchanger. Applied Thermal Engineering, 178, article number 115445. doi: 10.1016/j.applthermaleng.2020.115445.

[26] Rao, R.V., Saroj, A., Ocloń, P., & Taler, J. (2020). Design optimization of heat exchangers with advanced optimization techniques: A review. Archives of Computational Methods in Engineering, 27, 517-548. doi: 10.1007/s11831-019-09318-y.

[27] Saeed, M., Berrouk, A.S., Wahedi, Y.F., & Singh, M.P. (2022). Performance enhancement of a C-shaped printed circuit heat exchanger in supercritical CO2 Brayton cycle: A machine learning-based optimization study. Case Studies in Thermal Engineering, 38, article number 102276. doi: 10.1016/j.csite.2022.102276.

[28] Son, H., Austbø, B., Gundersen, T., Hwang, J., & Lim, Y. (2022). Techno-economic versus energy optimization of natural gas liquefaction processes with different heat exchanger technologies. Energy, 245, article number 123232. doi: 10.1016/j.energy.2022.123232.

[29] Spivak, O., Rezydent, N., Rezydent, D., & Tkach, N. (2024). Influence of geometric characteristics of the French on heat transfer heat exchange surface. Modern Technologies, Materials and Structures in Construction, 21(1), 154-160. doi: 10.31649/2311-1429-2024-1-154-160.

[30] Wang, S., Tian, Y., & Li, S. (2021). A simultaneous optimization of a flexible heat exchanger network under uncertain conditions. Applied Thermal Engineering, 183, article number 116230. doi: 10.1016/j.applthermaleng.2020.116230.

[31] Wildi-Tremblay, Ph., & Gosselin, L. (2006). Minimizing shell-and-tube heat exchanger cost with genetic algorithms and considering maintenance. International Journal of Energy Research, 31, 867-885. doi: 10.1002/er.1272.

[32] Xu, G., Zhuang, L., Dong, B., Liu, Q., & Wen, J. (2020). Optimization design with an advanced genetic algorithm for a compact air-air heat exchanger applied in aero engine. International Journal of Heat and Mass Transfer, 158, article number 119952. doi: 10.1016/j.ijheatmasstransfer.2020.119952.

[33] Zamora, J.M., Hidalgo-Muñoz, M.G., Pedroza-Robles, L.E., & Núñez-Serna, R.I. (2020). Optimization and utilities relocation approach for the improvement of heat exchanger network designs. Chemical Engineering Research and Design, 156, 209-225. doi: 10.1016/j.cherd.2020.01.024.

[34] Zhang, J., Zhu, X., Mondejar, M.E., & Haglind, F. (2019). A review of heat transfer enhancement techniques in plate heat exchangers. Renewable and Sustainable Energy Reviews, 101, 305-328. doi: 10.1016/j.rser.2018.11.017.

[35] Zhou, K., Mao, J., Zhang, H., Li, Y., Yu, X., Chen, F., & Li, M. (2022). Design strategy and techno-economic optimization for hybrid ground heat exchangers of ground source heat pump system. Sustainable Energy Technologies and Assessments, 52, article number 102140. doi: 10.1016/j.seta.2022.102140.