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Record W4402455245 · doi:10.11159/htff24.118

Analysing The Losses In Wet Steam Flow Through A Turbine's Last Stage

2024· article· en· W4402455245 on OpenAlex
Sima Shabani, Mirosław Majkut, Sławomir Dykas, Krystian Smołka

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicVacuum and Plasma Arcs
Canadian institutionsnot available
Fundersnot available
KeywordsStage (stratigraphy)Steam turbineFlow (mathematics)TurbineEnvironmental sciencePetroleum engineeringNuclear engineeringMechanicsEngineeringMechanical engineeringGeologyPhysics

Abstract

fetched live from OpenAlex

This study is dedicated to a comprehensive exploration of the losses encountered within steam turbine blades, with a specific focus on analysing the ultimate stage of the 13K215 steam turbine [1,2].The primary objective is to employ advanced predictive Computational Fluid Dynamics (CFD) models to intricately simulate the complex conditions of wet steam flow through the steam turbine blades, encompassing the actual geometry of the final stage in a 200MW steam turbine.Our fundamental aim is to establish novel, applicable relationships that allow for the precise quantification and characterization of losses across the 2D blade geometry and the more intricate 3D geometry of the final stage.Employing the ANSYS CFX software, this study engages in numerical simulations of steady-state compressible twophase flow, distinctly considering the governing equations for the continuous phase (steam) and dispersed phase (tiny liquid droplets).To accurately model the condensation phenomenon, we incorporate the classical nucleation theory along with the Kantrowitz correction factor [3,4], coupled with the Gyarmathy droplet growth model [3,4], enabling us to predict both the number and diameter of the tiny liquid droplets formed during the phase transition within the steam.Verification and validation of our numerical results for the 2D blade geometry were performed using the valuable experimental data obtained from the well-equipped laboratory of the SUT [5,6], demonstrating a strong concurrence between the simulations and experimental findings.Furthermore, this study delves into the outcomes derived from the simulation of wet steam flow through the actual 3D geometry of the last stage of the steam turbine, an area that remains largely unexplored due to the inherent complexities involved in modelling and analysing three-dimensional flows.Steam turbines serve as fundamental components within power production systems, emphasizing the critical role they play.It is imperative to grasp the extent of losses occurring in steam turbine blades and the underlying factors influencing them, as this knowledge is pivotal for enhancing efficiency and optimizing performance.In addressing this crucial issue, our research takes a significant stride by calculating losses within the real three-dimensional geometries of turbine blades-an issue that has been relatively underrepresented in recent studies [7][8][9].By conducting loss calculations based on real blade geometry, we aim to yield more dependable and precise results.In bridging this research gap, our study not only fills a critical void but also strives to contribute more reliable insights into the losses incurred within steam turbine blades.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.565

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.216
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it