Fuel Surface Regression
Fuel Surface Regression - Related Videos
15:08
Probing and Mapping Electrode Surfaces in Solid Oxide Fuel Cells
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Cited by 4 •
2012
We present a unique platform for characterizing electrode surfaces in solid oxide fuel cells (SOFCs) that allows simultaneous performance of multiple characterization techniques (e.g. in situ Raman spectroscopy and scanning probe microscopy alongside electrochemical measurements). Complementary information from these analyses may help to advance toward a more profound understanding of electrode reaction and degradation mechanisms, providing insights into rational design of better materials for...
01:52
Regression Toward the Mean
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2020
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
09:40
Proton Exchange Membrane Fuel Cells
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2023
Source: Laboratories of Margaret Workman and Kimberly Frye - Depaul University The United States consumes a large amount of energy – the current rate is around 97.5 quadrillion BTUs annually. The vast majority (90%) of this energy comes from non-renewable fuel sources. This energy is used for electricity (39%), transportation (28%), industry (22%), and residential/commercial use (11%). As the world has a limited supply of these non-renewable sources, the United States (among others) is...
03:12
Batteries and Fuel Cells
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2020
A battery is a galvanic cell that is used as a source of electrical power for specific applications. Modern batteries exist in a multitude of forms to accommodate various applications, from tiny button batteries such as those that power wristwatches to the very large batteries used to supply backup energy to municipal power grids. Some batteries are designed for single-use applications and cannot be recharged (primary cells), while others are based on conveniently reversible cell reactions that...
08:16
Combustion Characterization and Model Fuel Development for Micro-tubular Flame-assisted Fuel Cells
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Cited by 13 •
2016
A protocol for creating a model fuel-rich combustion exhaust is developed through combustion characterization and is applied for micro-tubular flame-assisted fuel cell testing and research.
FAQs
Heat from the oxidizer flowing over the solid fuel reaches the surface and drives vaporization or decomposition. The resulting gaseous fuel enters the flow above the grain, where it mixes with oxidizer and burns. Because this surface energy exchange supplies fuel to the reaction region, changes in heat transfer directly influence fuel consumption and the thrust-producing combustion process.
Pressure and flow velocity are important conditions that influence how rapidly the fuel surface recedes. Flow determines how oxidizer passes over the grain and participates in heat transfer, while pressure affects the combustion environment. Engineers therefore include both variables when measuring or modeling regression, since changes in either can alter fuel delivery and predicted engine behavior.
Fuel geometry affects the surface available for combustion and changes as the grain burns. Surface recession enlarges the port, the internal flow passage through the fuel grain, which can modify the conditions experienced by the oxidizer. Tracking this geometry change helps engineers predict how fuel consumption, combustion behavior, and engine performance evolve over the burn duration.
As fuel surface regression enlarges the port, the internal geometry of the grain does not remain constant. That changing geometry can influence oxidizer flow conditions and the subsequent production of gaseous fuel above the surface. Accounting for port enlargement is therefore necessary when estimating burn duration, evaluating combustion stability, and predicting performance throughout an engine's operation.
Engineers measure how the fuel surface recedes and use those observations to characterize the regression rate under relevant combustion conditions. Measurements can be examined alongside pressure, flow velocity, heat transfer, and fuel geometry. The resulting information supports models that predict fuel consumption, port enlargement, burn duration, combustion stability, and overall hybrid-engine performance.
Regression measurements and models provide a basis for designing and optimizing hybrid propulsion systems. They help engineers anticipate how quickly fuel is consumed, how the port changes, and how long combustion can continue. These predictions also support assessment of combustion stability and thrust-related performance, linking the behavior of the fuel surface to practical engine design decisions.