Stephen Barthelson has over 30 years of experience in aerothermal/CFD engineering. He holds a PhD in mechanical engineering and has worked for companies such as NASA, GE Aircraft Engines, Hunter Fan, and Capstone Turbine conducting CFD analysis and simulations. His areas of expertise include thermal modeling, combustion modeling, turbomachinery analysis, and providing 3D CFD flow analysis of engine and fan components. Currently he is seeking a position as an aerothermal/CFD engineer where he can improve products and enhance profitability with his skills and experience.
Computational Aerodynamic Prediction for Integration of an Advanced Reconnais...IJERA Editor
In this paper a computational aerodynamic prediction to support the aeromechanical integration of an advanced reconnaissance pod on a 5th generation fighter type aircraft is presented. The aim of the activity was to compare the aerodynamic characteristics of the new pod to a previous one already cleared on the same aircraft fleet, given verified inertial and structural similarity. Verifying the aforementioned aerodynamic similarity without involving extensive flight test activity was a must, to save time and to reduce costs. A two steps approach was required by the Certification Authority to verify, initially, the performance data compatibility in terms of aerodynamic coefficients of the old pod with the new one, in order to allow performance flight manual data interchangeability (a quantitative comparison was required); afterwards, a qualitative assessment was conducted to verify the absence of unsteadiness induced by the introduction in the external structure of the new pod of an auxiliary antenna case. Computational results are presented both for Straight and Level Un-accelerated Flight and Steady-Sideslip flight conditions at different Angles of Attack.
Solution to AERMOD/PRIME PM10 Overpredictions for Extremely Short, Long and W...Sergio A. Guerra
The current formulation in AERMOD/PRIME is prone to downwash overestimations as documented by Petersen et al. Some of these overpredictions can be minimized by conducting a wind tunnel study to refine the building inputs used in AERMOD/PRIME for critical stacks and wind directions. Most of the wind tunnel studies conducted to date involve taller building structures of at least 20 meters in height. However, a recent wind tunnel study was conducted for the Basic American Foods, Blackfoot, Idaho facility, which has extremely short buildings (7 to 12 meters in height) with very long and wide footprints and many exhaust stacks which are less than 25 meters above ground
The wind tunnel study confirmed that AERMOD was vastly overstating downwash effects for certain critical wind directions. In some cases, AERMOD-predicted concentrations were almost four times higher without the wind tunnel refinements. This study indicates that the previously identified tendency of AERMOD to overpredict downwash using the traditional BPIP-derived building inputs also applies to sites with shorter buildings. Because shorter buildings with shorter stacks are common in many sources subject to the minor New Source Review program (such as most food and beverage and manufacturing facilities), AERMOD’s overpredictions may be causing significantly higher predicted concentrations for many industrial sources.
This paper describes the wind tunnel study performed for this site, presents the benefits obtained from these building input refinements, and reviews comments received on the project from regulatory agencies.
Computational Aerodynamic Prediction for Integration of an Advanced Reconnais...IJERA Editor
In this paper a computational aerodynamic prediction to support the aeromechanical integration of an advanced reconnaissance pod on a 5th generation fighter type aircraft is presented. The aim of the activity was to compare the aerodynamic characteristics of the new pod to a previous one already cleared on the same aircraft fleet, given verified inertial and structural similarity. Verifying the aforementioned aerodynamic similarity without involving extensive flight test activity was a must, to save time and to reduce costs. A two steps approach was required by the Certification Authority to verify, initially, the performance data compatibility in terms of aerodynamic coefficients of the old pod with the new one, in order to allow performance flight manual data interchangeability (a quantitative comparison was required); afterwards, a qualitative assessment was conducted to verify the absence of unsteadiness induced by the introduction in the external structure of the new pod of an auxiliary antenna case. Computational results are presented both for Straight and Level Un-accelerated Flight and Steady-Sideslip flight conditions at different Angles of Attack.
Solution to AERMOD/PRIME PM10 Overpredictions for Extremely Short, Long and W...Sergio A. Guerra
The current formulation in AERMOD/PRIME is prone to downwash overestimations as documented by Petersen et al. Some of these overpredictions can be minimized by conducting a wind tunnel study to refine the building inputs used in AERMOD/PRIME for critical stacks and wind directions. Most of the wind tunnel studies conducted to date involve taller building structures of at least 20 meters in height. However, a recent wind tunnel study was conducted for the Basic American Foods, Blackfoot, Idaho facility, which has extremely short buildings (7 to 12 meters in height) with very long and wide footprints and many exhaust stacks which are less than 25 meters above ground
The wind tunnel study confirmed that AERMOD was vastly overstating downwash effects for certain critical wind directions. In some cases, AERMOD-predicted concentrations were almost four times higher without the wind tunnel refinements. This study indicates that the previously identified tendency of AERMOD to overpredict downwash using the traditional BPIP-derived building inputs also applies to sites with shorter buildings. Because shorter buildings with shorter stacks are common in many sources subject to the minor New Source Review program (such as most food and beverage and manufacturing facilities), AERMOD’s overpredictions may be causing significantly higher predicted concentrations for many industrial sources.
This paper describes the wind tunnel study performed for this site, presents the benefits obtained from these building input refinements, and reviews comments received on the project from regulatory agencies.
A renewed interest and scrutiny of downwash shortcomings has fueled a parallel, yet complementary effort, led by industry and EPA. Industrial groups funded the update to the Plume Rise Model Enhancements (PRIME) formulation in AERMOD based on new equations derived from wind tunnel measurements. Concurrently, EPA’s Office of Research and Development (ORD) conducted research that led to new enhancements to the downwash formulation.2 The new PRIME equations (PRIME2), along with EPA-ORD’s building downwash improvements, have been included as alpha options in an upcoming new EPA version of AERMOD.
As part of the renewed interest in building downwash, the PRIME2 subcommittee under the A&WMA APM committee was formed to: (1) establish a mechanism to review, approve and implement new science into the model for this and future improvements; and (2) provide a technical review forum to improve the PRIME building downwash algorithms. Collaboration and cooperation from EPA’s ORD and OAQPS have been on-going during this research project. These efforts included a downwash summit at EPA’s RTP facilities on February 16, 2018 where representatives of the PRIME2 committee and research funders met with EPA’s ORD and OAQPS staff to discuss the newly developed building downwash improvements. During that meeting it was decided that these enhancements would be included as new alpha options in AERMOD. The intent is that these experimental options will be tested by the user community to create enough justification to transition them to a beta status (approved on a case-by-case basis) and eventually to default options in AERMOD. An evaluation of some of these new downwash options is presented.
Use of Wind Tunnel Refinements in the Dispersion Modeling Analysis of the Ala...Sergio A. Guerra
The proposed Alaska LNG GTP project includes the construction of a natural gas treatment plant on the Alaska North Slope. The Gas Treatment Plant (GTP) is proposed to be located on the west coast of Prudhoe Bay and would treat natural gas produced on the North Slope.
Initial dispersion modeling of the Alaska LNG Gas Treatment Plant (GTP) found results inconsistent with local and regional measurements when evaluating compliance with the 1-hour NO2 National Ambient Air Quality Standard (NAAQS) due in part to two adjacent nearby sources. These existing sources include the Central Gas Facility (CGF) and Central Compression Plant (CCP) located immediately east of the GTP. The prevailing winds at the site are east-northeast and west-southwest which align with the arrangement of the facilities.
The building downwash inputs generated by the Building Profile Input Program for PRIME (BPIPPRM) were evaluated for the CGF and CCP facilities. This analysis confirmed that the building dimension inputs for numerous wind directions were outside of the tested theory used to develop the building downwash algorithms in AERMOD. Previous studies2,8,11,12,13 suggest that AERMOD predictions are biased to overstate downwash effects for certain building input ratios.
Wind tunnel determined equivalent building dimensions (EBD) were conducted for the most critical stacks and wind directions to refine AERMOD-derived predicted concentrations. The current paper covers the EBD method used to refine the building inputs for the CGF and CCP facilities. The regulatory process and benefits from this physical modeling method is also discussed.
PRIME2: Consequence Analysis and Model EvaluationSergio A. Guerra
This presentation will cover a preliminary consequence analysis and field evaluation related to the updates to the Plume Rise Model Enhancements updates (PRIME2). Additional research needs uncovered through this research project will also be discussed.
This presentation investigates the hypersonic high enthalpy flow in a leading edge configuration using computational techniques, specifically using computational fluid dynamics.
Flow separation in/over a hypersonic space vehicle is an important phenomenon which occurs due to flow interaction with various geometric elements of the vehicle. This however can lead to adverse pressure gradient and localised intense heating resulting in detrimental consequences for the successful performance of the vehicle. It is therefore critical and necessary to understand the separation phenomenon and its characteristics. In the last several decades, experimental, analytical and computational techniques have been used to investigate flow separation in hypersonic flow. Despite these efforts, large gaps still remain in our understanding of the aerothermodynamics of flow separation. Typically, flow separation can be examined with simple geometric configurations representing a generic region of separated flow over a vehicle. These could range from geometries such as compression corners, flat plate with steps to blunt bodies such as cylinders and spheres. However, most of these configurations exhibit a pre-existing boundary layer prior to separation thus increasing the complexity of the interaction. A simple geometry capable of producing separation at the leading-edge without any pre-existing boundary layer is therefore considered here. This geometry was originally proposed by Chapman in 1958 for supersonic flows at high Reynolds numbers and is investigated here numerically under laminar low density hypersonic conditions using N-S and DSMC methods.
The Plume Rise Model Enhancements (PRIME) formulation in AERMOD has been updated based new equations developed from wind tunnel measurements taken downwind of various solid and streamlined structures. These new equations, along with other building downwash improvements have been included as alpha options in the upcoming new version of AERMOD. The PRIME2 options include: • PRIME2UTurb which enables enhanced calculations of turbulence and wind speed • PRIME2Ueff which defines the height used to compute effective parameters Ueff, Sweff, Sveff and Tgeff at plume height and at 30 m • Streamline defines the set of constants for modeling all structures as streamlined. If omitted, rectangular building constants are used. The ORD Options include: • PRIMEUeff which controls the heights for which the wind speed is calculated for the main plume concentrations. • Average between plume height and receptor height recommended in ORD version • Default is current method in AERMOD, stack height wind speed. • PRIMETurb which adjusts the vertical turbulence intensity, wiz0 from 0.6 to 0.7. • PRIMECav modifies the cavity calculations These improvements aim to address important theoretical issues that significantly affect the accuracy of predicted concentrations subject to downwash effects. This research effort was funded in part by the American Petroleum Institute, the Electric Power Research Institute, the Corn Refiners Association and the American Forest & Paper Association. As part of it, the PRIME2 subcommittee under the A&WMA APM committee was formed to: (1) establish a mechanism to review, approve and implement new science into the model for this and future improvements; and (2) provide a technical review forum to improve the PRIME building downwash algorithms. Collaboration and cooperation from the EPA Office of Research and Development (ORD) has been on-going during the research project resulting in new alpha options aimed at solving known issues with the treatment of building downwash effects in AERMOD. The intent is that these experimental options will be tested by the user community to create enough justification to make these beta (approved on a case-by-case basis) and eventually default options in AERMOD. A preliminary evaluation for the following four cases will be presented: • Arconic- Davenport, IA (formerly Alcoa) • Mirant Potomac River Generating Station- Alexandria, VA • Basic American Foods- Blackfoot, ID • Oakley Generating Station- Oakley, CA The evaluation includes comparing 1-hr, 24-hr and annual averages along with Q-Q plots and isopleths. A discussion related to the results obtained will also be presented.
A renewed interest and scrutiny of downwash shortcomings has fueled a parallel, yet complementary effort, led by industry and EPA. Industrial groups funded the update to the Plume Rise Model Enhancements (PRIME) formulation in AERMOD based on new equations derived from wind tunnel measurements. Concurrently, EPA’s Office of Research and Development (ORD) conducted research that led to new enhancements to the downwash formulation.2 The new PRIME equations (PRIME2), along with EPA-ORD’s building downwash improvements, have been included as alpha options in an upcoming new EPA version of AERMOD.
As part of the renewed interest in building downwash, the PRIME2 subcommittee under the A&WMA APM committee was formed to: (1) establish a mechanism to review, approve and implement new science into the model for this and future improvements; and (2) provide a technical review forum to improve the PRIME building downwash algorithms. Collaboration and cooperation from EPA’s ORD and OAQPS have been on-going during this research project. These efforts included a downwash summit at EPA’s RTP facilities on February 16, 2018 where representatives of the PRIME2 committee and research funders met with EPA’s ORD and OAQPS staff to discuss the newly developed building downwash improvements. During that meeting it was decided that these enhancements would be included as new alpha options in AERMOD. The intent is that these experimental options will be tested by the user community to create enough justification to transition them to a beta status (approved on a case-by-case basis) and eventually to default options in AERMOD. An evaluation of some of these new downwash options is presented.
Use of Wind Tunnel Refinements in the Dispersion Modeling Analysis of the Ala...Sergio A. Guerra
The proposed Alaska LNG GTP project includes the construction of a natural gas treatment plant on the Alaska North Slope. The Gas Treatment Plant (GTP) is proposed to be located on the west coast of Prudhoe Bay and would treat natural gas produced on the North Slope.
Initial dispersion modeling of the Alaska LNG Gas Treatment Plant (GTP) found results inconsistent with local and regional measurements when evaluating compliance with the 1-hour NO2 National Ambient Air Quality Standard (NAAQS) due in part to two adjacent nearby sources. These existing sources include the Central Gas Facility (CGF) and Central Compression Plant (CCP) located immediately east of the GTP. The prevailing winds at the site are east-northeast and west-southwest which align with the arrangement of the facilities.
The building downwash inputs generated by the Building Profile Input Program for PRIME (BPIPPRM) were evaluated for the CGF and CCP facilities. This analysis confirmed that the building dimension inputs for numerous wind directions were outside of the tested theory used to develop the building downwash algorithms in AERMOD. Previous studies2,8,11,12,13 suggest that AERMOD predictions are biased to overstate downwash effects for certain building input ratios.
Wind tunnel determined equivalent building dimensions (EBD) were conducted for the most critical stacks and wind directions to refine AERMOD-derived predicted concentrations. The current paper covers the EBD method used to refine the building inputs for the CGF and CCP facilities. The regulatory process and benefits from this physical modeling method is also discussed.
PRIME2: Consequence Analysis and Model EvaluationSergio A. Guerra
This presentation will cover a preliminary consequence analysis and field evaluation related to the updates to the Plume Rise Model Enhancements updates (PRIME2). Additional research needs uncovered through this research project will also be discussed.
This presentation investigates the hypersonic high enthalpy flow in a leading edge configuration using computational techniques, specifically using computational fluid dynamics.
Flow separation in/over a hypersonic space vehicle is an important phenomenon which occurs due to flow interaction with various geometric elements of the vehicle. This however can lead to adverse pressure gradient and localised intense heating resulting in detrimental consequences for the successful performance of the vehicle. It is therefore critical and necessary to understand the separation phenomenon and its characteristics. In the last several decades, experimental, analytical and computational techniques have been used to investigate flow separation in hypersonic flow. Despite these efforts, large gaps still remain in our understanding of the aerothermodynamics of flow separation. Typically, flow separation can be examined with simple geometric configurations representing a generic region of separated flow over a vehicle. These could range from geometries such as compression corners, flat plate with steps to blunt bodies such as cylinders and spheres. However, most of these configurations exhibit a pre-existing boundary layer prior to separation thus increasing the complexity of the interaction. A simple geometry capable of producing separation at the leading-edge without any pre-existing boundary layer is therefore considered here. This geometry was originally proposed by Chapman in 1958 for supersonic flows at high Reynolds numbers and is investigated here numerically under laminar low density hypersonic conditions using N-S and DSMC methods.
The Plume Rise Model Enhancements (PRIME) formulation in AERMOD has been updated based new equations developed from wind tunnel measurements taken downwind of various solid and streamlined structures. These new equations, along with other building downwash improvements have been included as alpha options in the upcoming new version of AERMOD. The PRIME2 options include: • PRIME2UTurb which enables enhanced calculations of turbulence and wind speed • PRIME2Ueff which defines the height used to compute effective parameters Ueff, Sweff, Sveff and Tgeff at plume height and at 30 m • Streamline defines the set of constants for modeling all structures as streamlined. If omitted, rectangular building constants are used. The ORD Options include: • PRIMEUeff which controls the heights for which the wind speed is calculated for the main plume concentrations. • Average between plume height and receptor height recommended in ORD version • Default is current method in AERMOD, stack height wind speed. • PRIMETurb which adjusts the vertical turbulence intensity, wiz0 from 0.6 to 0.7. • PRIMECav modifies the cavity calculations These improvements aim to address important theoretical issues that significantly affect the accuracy of predicted concentrations subject to downwash effects. This research effort was funded in part by the American Petroleum Institute, the Electric Power Research Institute, the Corn Refiners Association and the American Forest & Paper Association. As part of it, the PRIME2 subcommittee under the A&WMA APM committee was formed to: (1) establish a mechanism to review, approve and implement new science into the model for this and future improvements; and (2) provide a technical review forum to improve the PRIME building downwash algorithms. Collaboration and cooperation from the EPA Office of Research and Development (ORD) has been on-going during the research project resulting in new alpha options aimed at solving known issues with the treatment of building downwash effects in AERMOD. The intent is that these experimental options will be tested by the user community to create enough justification to make these beta (approved on a case-by-case basis) and eventually default options in AERMOD. A preliminary evaluation for the following four cases will be presented: • Arconic- Davenport, IA (formerly Alcoa) • Mirant Potomac River Generating Station- Alexandria, VA • Basic American Foods- Blackfoot, ID • Oakley Generating Station- Oakley, CA The evaluation includes comparing 1-hr, 24-hr and annual averages along with Q-Q plots and isopleths. A discussion related to the results obtained will also be presented.
1. STEPHEN H. BARTHELSON AEROTHERMAL/CFD ENGINEER
2540 Ogden Avenue, Downers Grove, IL 60515 • sbarthelson@cox.net• 256-479-0548 cell
OBJECTIVE
Aerothermal/CFD analysis position with a company that would benefit from an experienced and
versatile individual that could improve products and enhance profitability.
EDUCATION
University of Toledo, PhD ME, 1988 (G.P.A. 3.6/4.0)
University of Virginia, ME ME, 1976
Vassar College, BA Physics, 1974
Brigham Young University, Postdoc ME, 1990–1993
Purdue University, Postdoc ME, 1988
PROFESSIONAL EXPERIENCE:
Zero Chaos at Sun Coke, Lisle, IL
CFD Analyst
Fluent modeling of duct flow in coke plant
Combustion modeling in coke ovens
Belcan at Rolls Royce, Indianapolis, IN
Thermal Analyst
SC03 thermal modeling of aircraft turbines & gearbox oil spray analysis
Static stress analysis using Ansys (classic & workbench) & Nastran; help w IUPUI senior projects
Analytical Services & Materials, Hampton, VA
Analyst for NASA Langley 2008-12
Thermal Desktop modeling of NASA Constellation components
CFD Analysis for aircraft & trucks using NASA Langley’s usm3d code & CFX
Capstone Turbine Corporation, Chatsworth, CA 2007
AeroPerformance Engineer
Provide cycle deck & turbomachinery analysis & testing of microturbines
Provide 3-d CFX flow analysis of engine components such as compressors & turbines
Cycle deck analysis & development
Support for existing Capstone C30 & C65 engines-& Development of C200 engine
Test Cell & Compressor rig experience
CatiaV & SAP experience
Hunter Fan Company, Memphis, TN 2004-2006
Project Engineer
Provide flow analysis/design for Hunter’s fans and home comfort products
Provided 3-d CFX flow analysis of axial, centrifugal, or mixed flow fans or blowers
Lab tested such components in Hunter’s lab
Designed new padless humidifier with lower power consumption & new air purifier
2. Developed high cfm/watt ceiling fans & assisted w industrial/portable fan designs
ProE & ICEM experience
Belcan at GE Aircraft Engines, Evendale, OH 2001 – 2004
Senior Engineer
Provided support-especially for GE Aircraft Engine Engineering Tools Group
Performed 3-d heat transfer, STAR-CD solution, analysis of cooled turbine stages to eliminate
turbine design flaws stemming from the use of inferior 2-d analysis.
Provided detailed 3-d heat transfer inputs to hot gas path lifing study directed specifically at
durability problems with a GE CFM56 engine single stage high turbine.
Involved with compressor and turbine map generation program revision and documentation (code
used 1-d blade row analysis to enhance or replace rig test data in generating maps).
Performed 3-d numerical heat transfer (combustion included) modeling of a CFM Taps combustor
(new GE low NOx combustor design-interchangeable with older CFM designs) using FLUENT.
CSC & PRC, Wallops Flight Facility, Wallops Island, VA 1996 - 2000
Mission Analyst (sounding rockets and high altitude balloons)
Performed aero analysis using GEM 3-DOF & 6-DOF trajectory coding, with drag tables from
Wallops code and fin & body lift tables from TAD code) of suborbital sounding rockets for
performance and flight worthiness, prior to their launch.
Used CFD to study missile viscous flows (around drag plates) and balloon thermodynamics.
Interacted with experimenters external to WFF to insure that their sponsored rockets met
expectations.
Published reports for over a dozen missions supported.
Served on review panels to help scrutinize other mission analysts’ upcoming launches.
Defended launch analysis and assisted with launch support operations.
Louisiana Compressor Maintenance, Houma, LA 1995 - 1996
Research Associate
Studied gas engine emissions with an eye toward retrofit cleanup devices that could allow older
engines to operate and meet emission compliance without extensive redesign.
Performed turbocharger matching to assure engines were fit with the right size turbocharger.
Developed computer programs to size compressor rig components (pulsation bottles, cylinder
bores, scrubbers, pipes).
Used CFD to find pressure drops in pulsation bottles and other components.
Lehigh University, Bethlehem, PA 1994
Research Associate, Energy Research Center:
Performed 3-d CFD utility furnace modeling used in NOx sensitivity studies.
Gained power plant experience by gathering furnace dimensions at Alexandria, VA power plant
and working with spreadsheet data from other facilities.
Performed stack flow analysis by writing program for determining pressure drops in power plant
stacks in response to a stack venting problem.
Brigham Young University, Provo, UT 1990 - 1993
Research Associate, ACERC
Responsible for CFD coal combustion code development.
Upgraded existing 3-d gaseous combustion code to model all types of furnace inlets.
Compared simulations to experimental data for code verification.
Developed a fast & robust new turbulence model (typically several times faster than a standard k-
3. epsilon model).
Fleck Aerospace, Tucson, AZ 1988 - 1990
Research and Development Engineer
Responsibility for CFD simulation (1-d, 2-d and 3-d) of test article related to non-pulsating,
stationary jet thrust w/o moving parts for new NASP jet engine prototype. NASA SBIR grant-
and private funding provided salary.
Assisted with instrumentation design for measuring test article performance.
Purdue post doctoral modeling project, including development of fast, innovative, supersonic
marching algorithm as part of job training.
Provided development code for test article, derived from Purdue modeling experience.
Performed test article simulation and comparison to Wyle Lab test data.
Assisted with project final report.
University of Toledo, Toledo, OH 1982 - 1987
Teaching and Research Assistant
Provided money for graduate study consisting of dissertation related research on applying
multigrid methods to turbulent flows for NASA Lewis (CFD project carried out on university’s
IBM mainframe)
Research support
Graded thermodynamics homework & supervised energy lab (including small wind tunnel)
Teledyne CAE, Toledo, OH 1980 - 1982
Performance Engineer
Provided small jet engine performance support of JTDE, ATEGG & Harpoon cruise missile
engines.
1-d performance simulation & test cell testing of jet engines..
Simulated aircraft performance (engine-airframe interaction study).
Pratt & Whitney, East Hartford, CT 1978 - 1979
Performance & Stability and Control Engineer
Large Turbofan Engine Performance/ Stability & Control Support.
1-d performance simulation (using PWA’s SOAP code) of JT8D-209 &-217 turbofans
Conducted stability & control analysis and outdoor test stand testing for JT9D-7Q fans & nozzles
to eliminate stalls (included purposely induced fan & core stalls).
SKILLS
FORTRAN, Matlab, Microsoft-Word, Power Point, & Excel, UG, STAR, ICEM, Fluent, ProE,
Catia, Nastran, Ansys Classic & Workbench, CFX, Thermal Desktop.
AFFILIATIONS
ASME, National Merit Scholar as undergraduate
PUBLICATIONS
"Model Comparisons with Drop Tube Combustion Data for Various Devolatilization Submodels", Energy and Fuels,
Vol. 9, Issue No. 5, pp. 870-879 (Brewster, Smoot, Thornock coauthors),1994.
"A Partial Slip, Constant Eddy Diffusivity Turbulence Model", ASME Forum on Turbulent Flows, FED-Vol. 155, June
4. 1993.
"Acceleration of a Two-dimensional Combustion Code Using MOSI to Solve the Pressure and Pressure Correction
Fields for a SIMPLER Based Algorithm", Applied Mathematics and Computation, Dec. 1991.
NAS3-25461 "Proof of Concept Tests of Fleck Engine Concept", 1991. (Neil Hartman coauthor)
"The Modified Operator Strongly Implicit Scheme, MOSI, as a Fast Elliptic Solver", Applied Mathematics and
Computation, Oct. 1989.
"Applications of Multigrid Methods to Turbulent Incompressible Flows", PhD Dissertation, June 1988.