Computer program for prediction of axial flow turbine performance
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Naval Postgraduate School , Monterey, California
Aerodynamics, Turbines, Computer pro
About the Edition
The report presents a computer program for prediction of performance of single-stage axial turbines of given geometry. The three-dimensional method developed by Vavra is applied, taking account of streamline curvatures and slopes, as well as enthalpy and entropy gradients in the solutions of the equation of motion, and of boundary layer thicknesses in the continuity equation. A choice among five different loss correlation methods and two flow angles correlations is offered. Loss coefficients and flow angles are automatically calculated from blading geometry and actual flow conditions for every streamline, according to the selected correlation method. (Author)
|Statement||by Ennio Macchi|
|Contributions||Naval Postgraduate School (U.S.)|
|The Physical Object|
|Pagination||105 p. :|
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Computer program for prediction of axial flow turbine performance Computer program for prediction of axial flow turbine performance by Macchi, Ennio.
Publication date. Author(s) key words: Analysis, single-stage, axial-flow, turbine, performance, three-dimensional, calculating, methods Includes bibliographical references (p. ) Technical report; The report presents a computer program for prediction of performance of single-stage axial turbines Pages: Dimensional Method Majid Asli, Abolghasem M.
Tousi Abstract — A computer code is presented for off-design performance prediction of axial-flow compressors and fans.
Stage and compressor performance is obtained by a stage-stacking method that uses representative velocity diagrams at rotor inlet and outlet mean line radius. Design And Analysis Of Axial Flow Turbine With Computer Software.
Automated axial flow turbine design with performance prediction. Book. Collection of Translations for Optimum Design of. A Method of Performance Estimation for Axial Flow Turbines Based on Losses Prediction H.
Javaniyan Jouybari 1*, M. Eftari 2, M. Shahhoseini 3, F. Ghadak 4, M. Rad 5 Received: 25 August ; Accepted: 22 February.
Abstract: The main objective in this paper is to create a method for one-dimensional modeling of multi-stage axial flow : H. Javaniyan Jouybari, M. Eftari, M. Shahhoseini, F. Ghadak, M. Rad. •Numerical evaluation of turbine performance using CFD simulation. •Comparison between the results of the two methods.
This design software has the capability to meet the comprehensive design requirements of any axial flow turbine stage with the prediction of its performance. There are four sets of modules available Computer program for prediction of axial flow turbine performance book this code. Analysis of geometry and design point performance of axial flow turbines.
1 - Development of the analysis method and the loss coefficient correlation Stream-filament analysis procedure and correlation of total pressure loss coefficients to form basis of computer program to investigate design point performance of axial turbines.
PDF | Computer-based optimization techniques can be employed to improve the efficiency of energy conversions processes, including reducing the | Find, read and cite all the research you need on. Predicted turbine stage performance using quasi-three-dimensional and boundary-layer analyses: Author and Affiliation.
Part I of this paper presents a method and a computer program for the mean design of multistage axial compressors. This second part describes a method and an additional computer routine that use the basic mean line design to create a fully two-dimensional flow solution and a compressor design.
The 0-D gas turbine model, reported by Panov, enables the prediction of the dynamic gas turbine performance at different operating conditions. The overall modeling architecture is developed in the Simulink environment and allows inter-stage dynamic performance simulation of a multistage axial compressor during engine transient operation.
Abstract. Axial flow gas turbines are used in many important applications including power production, gas transportation and jet propulsion. Computational tools are required to predict the performance of an existing turbine or to design a new one.
The axial compressor, on the other hand, while presenting the expense of its many blade rows, is geometrically ideally suited to the general flow requirements of a modern aircraft gas turbine engine that comprises an axial turbine and an axial bypass fan, in addition to the multi-stage axial compressor.
A reference on both aircraft and industrial turbines, Turbine Design: The Effect on Axial Flow Turbine Performance of Parameter Variation details specific methods for optimization and design. A rotary machinery consultant and design engineer, the author examines how to investigate and fix the initial scantling selections, for input, to analysis.
This paper (part 1 of 2) describes an off-design axial compressor mean-line code, tested in a specialized engineering software for the development and analysis of a whole gas turbine engine, and the various tuning factors used to obtain an off-design performance match.
A companion tool to Glenn Research Center's ACD software (LEW), ACOD is streamline analysis code for predicting the off-design performance of multistage axial-flow compressors.
Flow, blading, and loss are modeled similarly to ACD. A sound prediction of the turbine efficiency variation with the number of stages is therefore useful. In the paper, a computer code capable of optimizing the more significant design variables of a multistage axial-flow turbine is described.
A reference on both aircraft and industrial turbines, Turbine Design: The Effect on Axial Flow Turbine Performance of Parameter Variation details specific methods for optimization and design. A rotary machinery consultant and design engineer, the author examines how to investigate and fix the initial scantling selections, for input, to analysis Reviews: 1.
Vista Software. PCA has developed software for turbomachinery analysis since and has since achieved a worldwide user-base. The software comprises a range of systems for the entire aerothermal design process for all types of turbomachines, including radial and axial machines, and compressible and incompressible flow.
Description Computer program for prediction of axial flow turbine performance FB2
This work reports the use of two specially developed computer programs: AFCC [1, 2] and GTAnalysis [3, 4] for such purpose. An axial flow compressor has been designed, using the AFCC computer program based on the stage-stacking technique.
Major compressor design parameters are optimized at design point, searching for best efficiency and surge. A comparison of the performance of three model axial’ flow turbines tested under both steady and pulse flow conditions, Proc. Inst. Mech. Engrs. Pt.1 (/70) Google Scholar H. Craig and M.
Janota, The potential of turbochargers as applied to highly rated 2-stroke and 4-stroke engines, Proc. CIMAC, paper B. 14 ( A new design method with unequal work along the height of the blade in the axial/mixed-flow compressors, called The Flow-Type Design of Controlled Diffusion Factors (FTDCDF), has been developed in this paper.
Impact of Sinusoidal Tip Gaps on Axial Compressor Rotor Performance: A Flow Field Investigation. Heating, Leakage, Computational fluid dynamics, Clearances (Engineering), Computer simulation, Computer software, Flow (Dynamics), Gas The Study on Effect of the Number of Nozzle Vanes in a Radial Flow Turbine for the Turbocharger.
A set of models and software tools for the simulation of gas turbine engines considering the rotating stall in a compressor is presented.
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A new one-dimensional method (implemented in COMPRESSOR_S software) for the prediction of the performance of axial-flow. A reference on both aircraft and industrial turbines, Turbine Design: The Effect on Axial Flow Turbine Performance of Parameter Variation details specific methods for optimization and design.
A rotary machinery consultant and design engineer, the author examines how to investigate and fix the initial scantling selections, for input, to analysis Author: Leslie Fielding.
TD2 Axial Turbine Design and Performance Code TD2 performs a streamline analysis that can use meridional velocity gradients to control the radial distribution of work and flow for multistage, multishaft, cooled/uncooled axial-flow turbines. For the preliminary design and the off-design performance analysis of axial flow turbines, a pair of intermediate level-of-fidelity computer codes, TD (design; reference 1) and AXOD (off-design; reference 2), are being evaluated for use in turbine design and performance prediction of the modern high performance aircraft engines.
The code is able to calculate flow in axial turbines at subsonic and transonic conditions. The reliability of the method is verified by calculations for several gas and steam turbines.
Results of flow calculation and performance prediction of 4-stage experimental air turbine and LP steam turbine. Axial turbines are the most common turbine configuration for electric power generation and propulsion systems due to their versatility in terms of power capacity and range of operating conditions.
Mean-line models are essential for the preliminary design of axial turbines and, despite being covered to some extent in turbomachinery textbooks, only some scientific publications present a. Performance testing is a key part of the design and development process of advanced axial compressors.
These are widely used in the modern world and can be found in nearly every industry, and include the core compressor for aeropropulsion turbofan engines, as well as aeroderivative gas turbine engines for power generation.
The overall compressor performance prediction is thence highly-dependent on the shock modelling quality. For this reason, a physics-based shock -structure and -loss model was developed and implemented into an existing in-house 2-D SLC compressor performance simulator to enhance the aerodynamic prediction in transonic axial-flow compressors.This work deals with the numerical simulation of axial flow compressors, from design to performance prediction.
The stage performance prediction uses the meanline flow properties. Stage-stacking is used to analyse a multi-stage compressor.
A computer program, written in FORTRAN, was developed and is able to design an axial flow compressor given.A new blade force model is coupled to quasi-one dimensional Euler equations for a variable geometry flowpath.
After analytical inclusion of the blade force, the flow equations take a strictly one-d.
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