Evaluation Turbine Blade Design and Materials Steam Power Plant : Literature Review

Doni Fajar Ramadhan; Dani Rusirawan

doi:10.26760/JREM.v5i1.8

Evaluation Turbine Blade Design and Materials Steam Power Plant : Literature Review

Doni Fajar Ramadhan, Dani Rusirawan

Sari

Turbine blades are critical components in a steam power plant that directly affect the thermal efficiency and reliability of the system. This study aims to conduct a systematic review of turbine blade design and failure using a systematic literature review (SLR) approach that covers four main classifications, namely Design and Optimization, Materials and Structural Analysis, Failure Analysis and Prediction, and Aerodynamics and Steam Flow. The results of the study show that blade design optimization using numerical methods such as Computational Fluid Dynamics (CFD), genetic algorithms, and the Taguchi method can significantly reduce energy losses, such as reducing condensation losses by up to 28.5% and reducing erosion rates by up to 58%. High-strength materials, such as Waspaloy, have proven effective for high-pressure applications, while surface hardening technologies such as laser hardening and shot peening increase the hardness and fatigue resistance of the blades. In addition, failure analysis using vibration techniques and the Metal Magnetic Memory (MMM) method allows early detection of damage to prevent major failures. This study concludes that the combination of multi-objective optimization techniques, real-time monitoring, and advanced material development can improve the energy efficiency and sustainability of steam power plants.

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Referensi

Zainuddin, NS, Zamri, WFHW, Omar, MZ and bin Md Din, MF, 2024. Comprehensive Insight into the Failure Mechanisms, Modes, and Material Selection of Steam Turbine Blades. Journal of Current Science and Technology , 14 (3), pp.47-47.

Kumar, S. and Pandey, SM, 2022. Effects of performance parameters, surface failure and mitigation techniques on steam turbine blades. In Surface Engineering (pp. 205-218). CRC Press.

Lakzian, E., Yazdani, S. and Lee, BJ, 2023. Passive control optimization of condensation flow in steam turbine blades. International Journal of Mechanical Sciences , 237 , p.107804.

Chen, K., Seo, D. and Canteenwalla, P., 2021. The effect of high-temperature water vapor on degradation and failure of hot section components of gas turbine engines. Coatings , 11 (9), p.1061.

Elmenshawy, AAAE, Alomar, I., Arshad, A. and Medvedevs, A., 2024. Computational Fluid Dynamics Analysis of Flow Characteristics and Heat Transfer Variabilities in Multiple Turbine Blade Cooling Channels. Transport and Telecommunications Journal , 25 (1), pp.77-96.

Fathyunes, L. and Mohtadi-Bonab, MA, 2023. A review on the corrosion and fatigue failure of gas turbines. Metals , 13 (4), p.701.

Katsaprakakis, D.A., Papadakis, N. and Ntintakis, I., 2021. A comprehensive analysis of wind turbine blade damage. Energies , 14 (18), p. 5974.

Gao, J., Tang, Z., Guo, B., Xu, Z., Liu, M., Sun, W. and Zhao, Z., 2024. Study of cracks in the last-stage rotor blade of a steam turbine and the corrosion fatigue properties of its materials. Heliyon , 10 (17).

Rivaz, A., Anijdan, SM, Moazami-Goudarzi, M., Ghohroudi, AN and Jafarian, HR, 2022. Damage causes and failure analysis of a steam turbine blade made of martensitic stainless steel after 72,000 h of working. Engineering Failure Analysis , 131 , p. 105801.

Chowdhury, TS, Mohsin, FT, Tonni, MM, Mita, MNH and Ehsan, MM, 2023. A critical review on gas turbine cooling performance and failure analysis of turbine blades. International Journal of Thermofluids , 18 , p.100329.

Puspitasari, P., Andoko, A. and Kurniawan, P., 2021, February. Failure analysis of a gas turbine blade: A review. In IOP Conference Series: Materials Science and Engineering (Vol. 1034, No. 1, p. 012156). IOP Publishing.

Zivkovic, VB, Grkovic, VR and Kljajic, MV, 2024. The instigating factors behind the occurrence of vibration in steam turbines: A review analysis. Thermal Science , (00), pp.98-98.

Omojogberun, Y ., K areem, B . and A deyeri, M . , 2024. Steam Turbine: A Review of Some Critical Parts.

Hosseini, S.A., Lakzian, E., Zarei, D. & Zare, M., 2024. Design and optimization of slot number in supercooled vapor suction in steam turbine blades for reducing the wetness. Applied Thermal Engineering, 221, pp. 113861.

Liang, D., Li, N., Zhou, Z. and Li, Y., 2025. Effect of the water erosion on the non-equilibrium condensation in steam turbine cascade. International Journal of Heat and Mass Transfer , 236 , p.126326.

Ghodrati, M., Lakzian, E., Kafaei, A., Yan, WM and Kim, HD, 2023. Numerical analysis of hot steam injection through an embedded channel inside a 3D steam turbine blade. Applied Thermal Engineering , 225 , p.120229.

Liaw, KL, Kurnia, JC, Lai, WK, Ong, KC, Zar, MABMA and Muhammad, MFB, 2023. Optimization of a novel impulse gas turbine nozzle and blades design using Taguchi method for micro-scale power generation. Energy, 282, p. 129018.

Prabha, KA, Reddy, CN, Rao, LS, Reddy, SS and Kumar, GY, 2023. Structural and thermal analysis on high-pressure steam turbine blade to determine the optimum material for its manufacturing. Materials Today: Proceedings, 92, pp. 1193-1199.

Pavan, AHV, Nandi, S., Kumar, A. and Swamy, M., 2024. Effect of laser hardening and post hardening shot peening on residual stress evolution in X5CrNiCuNb16-4 steel for steam turbine blade applications. Procedia Structural Integrity, 60, pp.277-285.

He, Q., Xue, S., He, H., Hu, F., Gao, H. and Hu, W., 2023. Fatigue fracture failure analysis of 12Cr12Mo steam turbine blade. Engineering Failure Analysis, 150, p.107356.

Graciano, DM, Rodríguez, JA, Urquiza, G. and Tecpoyotl-Torres, M., 2023. Damage evaluation and life assessment of steam turbine blades. Theoretical and Applied Fracture Mechanics, 124, p.103782.

Rokicki, E., Gradzki, R., Kulesza, Z., Cecotka, P. and Dec, K., 2023. Frequency and mode shape evaluation of steam turbine blades using the metal magnetic memory method and vibration wave propagation. Mechanical Systems and Signal Processing, 192, p.110218.

Hu, P., Meng, Q., Fan, W., Gu, W., Wan, J. and Li, Q., 2024. Vibration characteristics and life prediction of last stage blade in steam turbine Based on wet steam model. Engineering Failure Analysis, 159, p.108127.

Hu, P., Meng, Q., Fan, T., Cao, L. and Li, Q., 2023. Dynamic response of turbine blade considering a droplet-wall interaction in wet steam region. Energy, 265, p. 126323.

Sadrian, V., Lakzian, E., Hoseinzade, D., Haghighi, B., Rashidi, MM and Kim, HD, 2023. Optimization of operating conditions in the steam turbine blade cascade using the black-box method. Propulsion and Power Research, 12(4), pp.467-485.

Hosseini, SA, Lakzian, E. and Nakisa, M., 2023. Multi-objective optimization of supercooled vapor suction for reducing the nano-water droplets in the steam turbine blade. International Communications in Heat and Mass Transfer, 142, p.106613.

Li, B., Xie, H., Sun, L., Wang, J., Liu, B., Gao, T., Xia, E., Ma, J. and Long, X., 2024. Optimization design of radial inflow turbine combined with mean-line model and CFD analysis for geothermal power generation. Energy , 291 , p. 130452.

Baddegamage, BHBPD, Bae, SJ, Jang, SH, Gunawardane, SDGSP, Lee, YH, Kim, K. and Yoon, M., 2025. Performance improvement of a cross-flow air turbine for oscillating water column wave energy converter by nozzle and blade optimization. Ocean Engineering, 316, p.119986.

DOI: https://doi.org/10.26760/JREM.v5i1.8