Effect of Manufacturing Processes on Blade Throat Size and Position in a Steam Turbine Diaphragm
1
Dept. of Power System Engineering, Faculty of Mechanical Engineering, University of West Bohemia, Czech Republic
2
Experimental Research of Flow, Doosan Skoda Power, Czech Republic
Submission date: 2022-05-03
Acceptance date: 2022-06-09
Online publication date: 2022-06-13
Corresponding author
Petr Eret
Dept. of Power System Engineering, Faculty of Mechanical Engineering, University of West Bohemia, Univerzitni 22, 306 14, Pilsen, Czech Republic
Dept. of Power System Engineering, Faculty of Mechanical Engineering, University of West Bohemia, Univerzitni 22, 306 14, Pilsen, Czech Republic
Journal of Machine Engineering 2022;22(3):148-160
KEYWORDS
steam turbine diaphragmmanufacturing processesblade throat3D optical scanning and geometric deviation
TOPICS
ABSTRACT
Despite a sustainable energy future, steam turbines are requisite for the reliability and security of the electric power supply in many countries. Accurate and precise manufacturing of the steam path is crucial to turbine efficiency. Before entering the rotor blades, the steam must be correctly guided using stationary blading in a diaphragm. Steam turbine diaphragms are complicated components to manufacture, and welding is the most common fabrication method. A case study presented in this paper employs data from a 3D optical scanner for a geometric deviation analysis of the upper half of the diaphragm at two production steps, after complete welding and after final machining. Unrolled cylinder cross-sections at different diameters are used to evaluate the blade throat sizes and positions compared to the nominal geometry. The results indicate significant geometric changes between the two fabrication steps, and several suggestions are put forward for targeted future work.
REFERENCES (32)
1.
KOBER T., SCHIFFER H.W, DENSING M., et al., 2019, Global Energy Perspectives to 2060 – WEC’s World Energy Scenarios, Energy Strategy Reviews, 2020, 31, 100523.
2.
BROOK B.W., ALONSO A., MENELEY D.A., et al., 2014, Why Nuclear Energy is sustainable and Has to be Part of the Energy Mix, Sustainable Materials and Technologies, 1/2, 8–16.
3.
MO J., CUI L., DUAN H., 2021, Quantifying the Implied Risk for Newly-Built Coal Plant to Become Stranded Asset by Carbon Pricing, Energy Economic, 99, 105286.
5.
GIELEN D., BOSHELL F., SAYGIN D., et al., 2019, The Role of Renewable Energy in the Global Energy Transformation, Energy Strategy Reviews, 24, 38–50.
6.
FUNAHASHI N., 2017, 22 – Steam Turbine Roles and Necessary Technologies for Stabilization of the Electricity Grid in the Renewable Energy Era, Tanuma T (ed.) Advances in Steam Turbines for Modern Power Plants, Woodhead Publishing,. 521–537, ISBN 978-0-08-100314-5.
7.
TOPEL M., LAUMERT B., 2018, Improving Concentrating Solar Power Plant Performance by Increasing Steam Turbine Flexibility at Start-Up, Solar Energy, 165, 10–18.
9.
NAWAZ Z., ALI U., 2020, Techno-Economic Evaluation of Different Operating Scenarios for Indigenous and Imported Coal Blends and Biomass Co-Firing on Supercritical Coal Fired Power Plant Performance, Energy, 212, 118721.
10.
CLARK R., ZUCKER N., URPELAINEN J., 2020, The Future of Coalfired Power Generation in Southeast Asia, Renewable and Sustainable Energy Reviews, 121, 109650.
11.
ZHAO Y., WANG C., LIU M., et al. 2018, Improving Operational Flexibility by Regulating Extraction Steam of High-Pressure Heaters on a 660 MW Supercritical Coal-Fired Power Plant: A Dynamic Simulation, Applied Energy, 212, 1295–1309.
12.
RICHTER M., OELJEKLAUS G., GORNER K., 2019, Improving the Load Flexibility of Coal-Fired Power Plants by the Integration of a Thermal Energy Storage, Applied Energy, 236, 607–621.
13.
STEVANOVIC V.D., PETROVIC M.M, MILIVOJEVIC S., et al., 2020, Upgrade of the Thermal Power Plant Flexibility by the Steam Accumulator, Energy Conversion and Management, 223, 113271.
14.
NOWAK G., RUSIN A., ŁUKOWICZ H., et al., 2020, Improving the Power Unit Operation Flexibility by the Turbine Startup Optimization. Energy, 198, 117303.
15.
YAN H., LI X., LIU M., et al., 2020, Performance Analysis of a Solar-Aided Coal-Fired Power Plant in off-Design Working Conditions and Dynamic Process, Energy Conversion and Management, 220, 113059.
16.
WANG Z., LIU M., ZHAO Y., et al., 2020, Flexibility and Efficiency Enhancement for Double-Reheat Coal-Fired Power Plants by Control Optimization Considering Boiler Heat Storage, Energy, 201, 117594.
17.
RUSIN A., NOWAK G., ŁUKOWICZ H., et al., 2021, Selecting Optimal Conditions for the Turbine Warm and Hot Start-Up, Energy, 214, 118836.
18.
GOLINKIN S., LIPSKI M., LUKER J., et al., 2013, Modernization of Steam Turbine Diaphragms for the Saudi Aramco Gas Plant, Proceedings of Middle Eastern Turbomachinery Symposium, 7–20 March, Doha, Qatar.
19.
MCBEAN I., 2017, 16 - Manufacturing Technologies for Key Steam Turbine Parts, Tanuma T (ed.) Advances in Steam Turbines for Modern Power Plants, Woodhead Publishing, 381–393, ISBN 978-0-08-100314-5.
20.
TSARYUK A., SKULSKY V., NIMKO M., et al., 2016, Improvement of the Technology of Welding High-Temperature Diaphragms in Steam Turbine Flow Section, The Paton Welding Journal, 3, 24–27.
21.
BERGLUND D., ALBERG H., RUNNEMALM H., 2003, Simulation of Welding and Stress Relief Heat Treatment of an Aero Engine Component, Finite Elements in Analysis and Design, 39/9, 865–881.
22.
BENDEICH P., ALAM N., BRANDT M., et al., 2006, Residual Stress Measurements in Laser Clad Repaired Low Pressure Turbine Blades for the Power Industry, Materials Science and Engineering, A 437/1, 70–74.
23.
BONAKDAR A., MOLAVI-ZARANDI M., CHAMANFAR A., et al., 2017, Finite Element Modeling of the Electron Beam Welding of Inconel-713LC Gas Turbine Blades, Journal of Manufacturing Processes, 26, 339–354.
24.
GARCIA-GARCIA V., CAMACHO-ARRIAGA J., REYES-CALDERON F., et al., 2018, Fluid Structure Interaction Modeling of Expansion Contraction Deformation During Welding in a Spacer-Band-Blade Assembly of a HP Steam Turbine Diaphragm, Journal of Manufacturing Processes, 33, 203–218.
25.
TAN L., ZHAO L., ZHAO P., et al., 2020, Effect of Welding Residual Stress on Operating Stress of Nuclear Turbine Low Pressure Rotor, Nuclear Engineering and Technology, 5/8, 1862–1870.
26.
ALCANTAR-MONDRAGON N., REYES-CALDERON F., GARCIA-GARCIA V., et al., 2021, Effect of PWHT on the Dissolution of δ-Ferrite in the Welded Joint of 12Cr–1Mo Steels for Steam Turbines, Journal of Materials Research and Technology, 10, 1262–1279.
27.
EMONTS D., SANDERS M.P., MONTAVON B., SCHMITT R.H., 2022, Model-Based, Experimental Thermoelastic Analysis of a Large Scale Turbine Housing, Journal of Machine Engineering, 22/1, 84–95.
28.
CHEN L., LI B., JIANG Z., 2017, Inspection of Assembly Error with Effect on Throat and Incidence for turbine Blades, Journal of Manufacturing Systems, 43, 366–374.
29.
GAO J., GINDY N., CHEN X., 2006, An Automated GD&T Inspection System Based on Non-Contact 3D Digitization, International Journal of Production Research, 44/1, 117–134.
30.
BAUER F., SCHRAPP M., SZIJARTO J., 2019, Accuracy Analysis of a Piece-to-Piece Reverse Engineering Workflow for a Turbine Foil Based on Multi-Modal Computed Tomography and Additive Manufacturing, Precision Engineering, 60, 63–75.
31.
SHIMAZAKI H., SHINOMOTO S., 2007, A Method for Selecting the Bin Size of a Time Histogram, Neural Computation, 19/6, 1503–1527.
32.
KIM Y., KIM T.H., ERGUN T., 2015, The Instability of the Pearson Correlation Coefficient in the Presence of Coincidental Outliers, Finance Research Letters, 13, 243–257.
CITATIONS (1):
1.
Flutter Measurement of a Linear Turbine Blade Cascade with an Angular Position Deviation of One Blade
Petr Eret, Volodymyr Tsymbalyuk, Markus Eckert
Strojnícky časopis - Journal of Mechanical Engineering
Petr Eret, Volodymyr Tsymbalyuk, Markus Eckert
Strojnícky časopis - Journal of Mechanical Engineering
| eISSN: | 2391-8071 |
| ISSN: | 1895-7595 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
