Index Catalog // ScholarsArchive@OSU

Computational Modeling of Smoldering Combustion in Wildland Fuels

Creator:: Jayasuriya, Waduge Jayani A.
Abstract:: Smoldering combustion in wildland fires is a critical phenomenon that needs in-depth study because it can initiate with weaker ignition sources, can persist for long periods, is difficult to suppress, and can transit to flaming combustion. Cellulose, hemicellulose, and lignin are the major organic constituents within biomass, in varying proportions...
Resource Type:: Dissertation

Computational Study of Smoldering Combustion in Cellulose and Hemicellulose Mixtures

Creator:: Mulky, Tejas Chandrashekhar
Abstract:: Due to global warming wildland fires are increasing in frequency and severity. In the case of wildland fires, the major modes of combustion occur include smoldering combustion and flaming combustion. Smoldering combustion occurs most commonly in porous fuels like peat, forest duff, and woody fuels, which are available in abundance...
Resource Type:: Masters Thesis
Full Text:: ://doi.org/10.1016/j.proci.2018.06.164 6 Chapter 2: Computational study of the effects of density, fuel

The Influence of Fuel Characteristics on Smoldering Behavior through Porous Fuels

Creator:: Ross, Andrew H.
Abstract:: Smoldering can play a dangerous role in the ignition and spread of wildfires. Naturally occurring fuels consist of multiple layers of organic materials with varying particle sizes due to differences in decomposition stages with fuel depth, yet the influence of particle size on burning behavior is poorly understood. Previous research...
Resource Type:: Masters Thesis

Simulating Soot Formation and Growth using a Parallel Coupled Monte Carlo Method

Creator:: Peters, Jordan
Abstract:: Small hydrocarbon particles such as soot and soot precursors pose a serious threat to human health and Earth's climate. Understanding the mechanisms by which soot particles form and grow is the first step to reducing the prevalence of these particles. Computational simulations are used to investigate combusting systems which are...
Resource Type:: Masters Thesis

Ignition of Fuel Beds by Firebrands

Creator:: Bean, Derek R.
Abstract:: The severity of wildfires around the globe is increasing. At the same time, urban development is expanding outward into areas where severe fires occur. There is an increased risk of home loss to fires in areas where severe fires and urban expansion meet. Ignition of homes or nearby fuel is...
Resource Type:: Dissertation

Experimental Study of the Impact of Physical and Chemical Properties on Smoldering Combustion in Natural Fuels

Creator:: Smucker, Benjamin
Abstract:: Smoldering combustion in wildland fires is difficult to extinguish, can transition to flaming combustion, and produces a significant amount of pollutants. It is necessary to understand parameters controlling smoldering in order to help predict the smoldering behavior and potentially mitigate these hazards. The wide variety of natural fuels that occur...
Resource Type:: Dissertation

An Improved Chemical Kinetic Model Reduction in pyMARS for Liquid Propellants

Creator:: Moore, Cailin J.
Abstract:: The aerospace industry uses chemical kinetic models when designing propulsion systems to acquire specific details about the rate of chemical reactions, heat release, and combustion stability. These models, however, are too large and stiff to be useful as they can take weeks to run computations on. The pyMARS python package...
Resource Type:: Honors College Thesis
Full Text:: reduc- tion”. In: Proceedings of the Combustion Institute 30.1 (2005), pp. 1333–1341. doi: 10.1016

Effect of Laser Powder Bed Fusion Parameters and Hot Isostatic Pressing on the Microstructure and Mechanical Properties of C22 Alloy

Creator:: Yan, Dongqing
Abstract:: A nickel-based Hastelloy C22 powder with a nominal composition of Ni-21.30Cr-13.36Mo-1.92Co-2.94W-3.85Fe-0.23Mn-0.3V(wt%) and particle size distribution of D₁₀=23.8±0.3 μm, D₅₀=37.5±0.2μm, and D₉₀=59.3±1.1 μm was gas atomized to be used as a feedstock in Laser Powder Bed Fusion (LPBF). In this study, laser power and scanning speed were optimized to manufacture specimens...
Resource Type:: Masters Thesis
Full Text:: ). https://doi.org/10.1016/j.matpr.2021.02.566. [12] B. Graybill, M. Li, D. Malawey, C. Ma, J.M. Alvarado

Predicting Properties of Bio-jet Fuels using Machine Learning and ATR-FTIR Spectroscopy

Creator:: Mayer, Morgan A.
Abstract:: High-potential molecules derived from biomass sources may suitably replace or supplement traditional nonrenewable hydrocarbon fuels to reduce pollution and fuel processing costs. Due to expensive and time-consuming property testing, models that predict key properties from optical data would initially vet potential additives before investment and bench-scale testing. Attenuated Total Reflection...
Resource Type:: Masters Thesis

Design of 3D-Printed Soft Pneunet Actuator for Robotic Fruit Harvesting

Creator:: Wilhelm, Lissette J. H.
Abstract:: This work details the development of 3D printed TPU pneunet actuators for use in apple picking for agricultural soft robotics. These actuators increase the force capabilities of soft pneunets and simplify manufacturing. Grippers based on these actuators are ideal for apple picking because they are compliant, yet exert sufficient force...
Resource Type:: Honors College Thesis
Full Text:: ://doi.org/10.1016/j.biosystemseng. 2011.07.005. [2] Abhisesh Silwal, Joseph R. Davidson, Manoj Karkee

ScholarsArchive@OSU

Computational Modeling of Smoldering Combustion in Wildland Fuels

Computational Study of Smoldering Combustion in Cellulose and Hemicellulose Mixtures

The Influence of Fuel Characteristics on Smoldering Behavior through Porous Fuels

Simulating Soot Formation and Growth using a Parallel Coupled Monte Carlo Method

Ignition of Fuel Beds by Firebrands

Experimental Study of the Impact of Physical and Chemical Properties on Smoldering Combustion in Natural Fuels

An Improved Chemical Kinetic Model Reduction in pyMARS for Liquid Propellants

Effect of Laser Powder Bed Fusion Parameters and Hot Isostatic Pressing on the Microstructure and Mechanical Properties of C22 Alloy

Predicting Properties of Bio-jet Fuels using Machine Learning and ATR-FTIR Spectroscopy

Design of 3D-Printed Soft Pneunet Actuator for Robotic Fruit Harvesting

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