2 edition of Analysis of uncertainities in turbine metal temperature predictions found in the catalog.
Analysis of uncertainities in turbine metal temperature predictions
Francis S Stepka
by National Aeronautics and Space Administration, Scientific and Technical Information Office, For sale by the National Technical Information Service] in Washington, D.C, [Springfield, Va
Written in English
|Statement||Francis S. Stepka|
|Series||NASA technical paper -- 1593|
|Contributions||United States. National Aeronautics and Space Administration. Scientific and Technical Information Office|
|The Physical Object|
|Pagination||16 p. ;|
|Number of Pages||16|
temperature T. Ignoring e ects that are nonlinear in temperature, the expansion coe cient satis es13 L t = TL; (1) where L t is the change in length of the wire due to an increase in its temperature by T. For lengths and temperatures that are easy to achieve in a classroom, L t is very Size: KB. An exploratory data analysis of the temperature ﬂuctuations in a spreading ﬁre David R. Brillingera* and Mark A. Finneyb A series of ﬁre experiments were carried out in a wind tunnel at the United States Forest Service’s Fire Science Laboratory in Missoula, Montana. The experiments involved tines cut out of pieces of cardboard.
Fast Calculation Methods for the Modelling of Transient Temperature Fields in a Steam Turbine in Pre-warming Operation— 3 model, the flow and the heat transfer in the solid state are assumed to be of periodic nature in the circumferential direction. With this assumption, a single blade passageFile Size: KB. F. Klocke et al.: Analytical model of temperature distribution 91 Figure 1. Basic functions and combined modell approach. Figure 2. Variation of parameter A. Transferring the physical interpretations to temperature lines for the metal cutting process, detailed analysis of more basic functions revealed that the superposition of these threeCited by: 6.
In the temperature range to "C, a stable fine structure with a close relationship between the gamma prime volume fraction and the temperature forms within 30 seconds. Accordingly, overheating of turbine blades can be determined qualitat- ively above "C, and quantitatively above "C. reduce material temperatures, (3) advanced structural design concepts to reduce stresses, and (4) more accurate analytical models and computer codes in the design analysis process to identify hot spots, high stresses, etc. based superalloys. Certain elements of these alloys, such as cobalt, are in short supply and are expensive.. Recently researchers completed a studyCited by: 2.
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Analysis of uncertainities in turbine metal temperature predictions. Washington, D.C.: National Aeronautics and Space Administration, Scientific and Technical Information Office ; [Springfield, Va.: For sale by the National Technical Information Service], cally predicting and verifying local turbine-blade surface metal temperature in an aver- age instrumented engine is 98 kelvins ( deg F), or percent of the reference metal absolute temperature, for uncoated blades and 62 kelvins ( deg F), or percent, for ceramic-thermal-barrier-coated Size: KB.
Until recently, leveraging high fidelity simulation in the turbine blade design process was tedious and costly. In this On-Demand Webinar, we will demonstrate how leading gas turbine manufacturers are: Obtaining better metal temperature predictions with Conjugate Heat Transfer (CHT). Increasing turbine inlet temperature is a means of improving efficiency, but this temperature exceeds allowable temperature of metal parts.
In addition, the gas turbine hot parts operate in a harmful condition of centrifugal and gas pressure forces and thermal cycling. Subsequently, most of the life problems are encountered in this by: ORIGINAL ARTICLE Turbine blade temperature calculation and life estimation - a sensitivity analysis Majid Rezazadeh Reyhania,n, Mohammad Alizadehb, Alireza Fathic, Hiwa Khaledid aAmirkabir.
The temperature at which the turbine operates (firing temperature) also impacts efficiency, with higher temperatures leading to higher efficiency. However, turbine inlet temperature is limited by the thermal conditions that can be tolerated by the turbine blade metal alloy.
Gas temperatures at the turbine inlet between ºC toFile Size: KB. Key Words: Turbine blade, Thermal analysis, Structural analysis, FEM 1. Introduction: The gas turbine obtains its power by utilizing the energy of burnt gases and the air which is at high temperature and pressure by expanding through the several rings of fixed and moving blades, to get a high pressure of order of 4 to 10 bar of working fluid.
Francis S Stepka has written: 'Analysis of uncertainities in turbine metal temperature predictions' -- subject(s): Cooling, Airplanes, Turbine-propeller engines Asked in Cars & Vehicles, Technology. Uncertainty analysis of adiabatic wall temperature measurements in turbine tests. • Convective heat transfer coefficient in function of gas-to-wall temperature ratio.
• Methodology to measure the heat transfer parameters in short-duration wind tunnels. • Impact of facility repeatability and instrumentation errors on measurement accuracy.
•Cited by: predictions up to –5%; (2) modifythe surface temperature predictions by –8% near the trailing edge of the vane suction side; (3) increase the overall pressure losses by roughly 1%.
FAILURE ANALYSIS OF GAS TURBINE BLADE USING FINITE ELEMENT ANALYSIS turbine inlet temperature is limited by the thermal conditions that can be tolerated by the turbine blade metal alloy. Gas temperatures at the turbine inlet between ºC to ºC, but some due to un expectable condition and over loading have boosted inlet temperatures.
Analysis of the Uncertainty of Wind Power Predictions This work is concerned with assessing the uncertainty of these wind power predictions. The uncertainty is the typical range in which deviations between what was predicted and the real sit-uation are likely to occur.
The majority of today’s wind power forecasting systems is based on. Improving the temperature predictions of subsurface thermal models by using high-quality input data. Part 1: Uncertainty analysis of the thermal-conductivity parameterization“-Final version (post print)- Sven Fuchs1,2, Niels Balling1 1Department of Geosciences, Aarhus University, Høegh-Guldbergs Gade 2, Aarhus C, : Sven Fuchs, Niels Balling, Høegh-Guldbergs Gade.
This paper presents an uncertainty propagation analysis method using the Convex Model Theory (CM) for turbine cooling blade multidisciplinary design. Convex Model is used to describe the design variables’ uncertainty, and it’s propagation equation is derived.
Monte-Carlo(MC) method and Convex Model Theory (CM) are all employed to calculate target variable’s : Kua Hai Yu, Jun Ni, Xi Yang, Zhu Feng Yue. temperature distribution in the rotor blade has been evaluated using this software.
From different materials nitinol alloy, structural steel that has been considered for the purpose analysis. The turbine blade along with the groove is connatural steesidered for the static, thermal analysis.
The. and introduces stall and ﬁnite-span corrections. The present predictions of the lift curve are reported for the NREL S airfoil in Fig II.B. Structural analysis Fluid structure interactions play an important role in the determination of the structural integrity of the turbine.
Machining processes of Inconel turbine disk including turning and broaching processes are, respectively, analyzed using the theorem of minimum potential energy. First, in order to provide the initial condition in terms of elastic strain energy for the machining processes, two-dimensional, axial symmetry assumptions are adopted and the simulation of multi-stage forging of disk is conducted Cited by: 8.
Fault Tree Analysis for Reliability Prediction of Gas Turbine Type Power Plants: Final Report, JuneVolume 2 Sciences Applications, inc Electric Power Research Institute, - Accelerated life testing. Statistical analysis and prediction of the heat-resistance characteristics of cast alloys for gas-turbine engines (GTD) I.
Bulygin, L. Timofeeva, E. Golubovskii, I. Trunin, R. Sizova & I. Boromolova Strength of Materials volume 9, pages – ()Cite this articleCited by: 9. Finite element method is widely used in steam turbine impeller blade subsystem strength analysis aspect, but because of the complicated working environment, the steam turbine has taken different handling of loads and boundary conditions when using finite element analysis method.
In this paper, Static strength of the "mm" of MW steam turbine standard blade was calculated by using Author: Yu Feng Ding, Wei Fang, De Gang Wang, Bu Yun Sheng. Analysis of two modeling approaches for fatigue estimation and remaining useful life predictions of wind turbine blades Hector Sanchez, Shankar Sankararaman, Teresa Escobet, Vicenç Puig, Susan Frost, and Kai Goebel.Numerical analysis of the influence of turbulators constructive features on heat transfer in gas turbine blade cooling channels I.V.
Shevchenko, N.D. Rogalev, V.O. Kindra1, S.K. Osipov and D.M. Rostova National Research University “Moscow Power Engineering Instuitute” Krasnokazarmennaya str.
14,Moscow, Russian Federation.Uncertainty Analysis in Wind Resource Assessment and Wind Energy Production Estimation Matthew A. Lackner1, Anthony L. Rogers2, and James.F. Manwell3 Renewable Energy Research Laboratory, University of Massachusetts, Amherst, MA, This paper presents a mathematical approach to properly account for uncertainty inCited by: