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Record W3196332344

A Study on the Interactions between Water Droplets and Solid Targets to Understand Water Droplet Erosion

2021· dissertation· en· W3196332344 on OpenAlexfundno aff
Ming Jing

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2021
Typedissertation
Languageen
FieldEnvironmental Science
TopicErosion and Abrasive Machining
Canadian institutionsnot available
FundersConcordia University
KeywordsMaterials scienceErosionGas compressorWork (physics)Computational fluid dynamicsEnvironmental scienceMechanicsMechanical engineeringGeologyEngineeringPhysics
DOInot available

Abstract

fetched live from OpenAlex

Water droplet erosion (WDE) has always been a serious issue in the power generation industry. WDE is the continuous loss of material from a solid surface due to the accumulated impacts by water droplets. In gas turbines, ultra-fine droplets are purposely sprayed into the incoming air of the compressor in order to decrease the ambient temperature and increase the efficiency of the turbine. Unfortunately, this process involving water droplets, severely damages the leading edge of the compressor blades. Erosion, such as WDE, is not constant with time. It has been classified into early stages and advanced stages. Most studies on erosion have primarily focused on the early stages of erosion. Very few researchers focused on water droplets and solid interactions at the early stages of erosion, which is important in understanding WDE damage. Knowing where and how the droplets impact the target can contribute to understanding the WDE phenomenon further and propose a way to reduce WDE or even find a potential solution for WDE altogether. The purpose of our work is to explore several approaches in understanding this interaction.
\nOne part of this work will study the effects of airflow on the trajectories of water droplets with the use of ink coated samples and computational fluid dynamics (CFD) simulation. A secondary part will investigate and compare how different solid target samples react to the impact of water droplets. The selection of samples is as follows: flat (as-received unaltered material), grooved, and metallic foam. The grooved and metallic foam samples are employed in this work in order to stabilize a water film and dissipate the energy caused by multiple droplets impacts. The erosion tests were conducted in a rotating disc rig in accordance to the ASTM-G73 standard. The size of the droplets was 460 μm and the impact speeds were set to 150 m/s, 200 m/s, and 250 m/s. Ti-6Al-4V alloy was chosen as a sample material because it is typically used in turbine compressor blades.
\nDuring the WDE tests, it was observed that the airflow had a significant influence to drift the water streak away from the rotation center. Moreover, it can affect the trajectories and the impact position of the droplets. The airflow causes the upper half of the sample to erode faster than the bottom half. This was obvious upon observing the eroded samples after WDE tests. Furthermore, the formation and distribution of secondary droplets after the initial impact could also be influenced by the airflow within the rig. This is attributable to the lower mass of the secondary smaller droplets that are easily affected by the airflow.
\nMetal samples having grooves of either 0.5 mm or 1 mm depth were employed in this work along with other samples having blocked grooves to prevent water flowing downward. Incubation period and maximum erosion rate are the two main erosion resistance parameters of interest in this research. The results showed that the 0.5 mm groove had a longer incubation period than the reference sample. It also fared better than the 1 mm and bottom blocked grooved samples. This was studied by CFD simulation and is concluded as the influence of water film formation in the groove by dampening the impacts of subsequent water droplets. The 0.5 mm groove had a more suitable airflow environment to stabilize the water film in the groove than the 1 mm groove. However, at the maximum erosion rate stage, the reference sample and both sizes of grooves showed similar erosion behavior. This indicates that the maximum erosion rate stage is not affected significantly by introducing grooves and the formation of water films in them.
\nPorous and polyurethane-blocked samples were used as both test and reference samples respectively in the current work. Their purpose is to stabilize the water film, dissipate the impact energy, and study the interactions between water droplets and porous structure further. The
\nresults show that the porous structure can dissipate more impact energy than the solid substrate and mitigate the WDE damage to some extent.

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How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
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 score0.271
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.044
GPT teacher head0.309
Teacher spread0.266 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

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