Chemical Engineering
Expanding Efforts in the Ultrapure Water Group to Address
Resin Chemistry Issues – Phase 2
In Phase 1 of this project, the presence of several
phenomena that affect the resins when exposed to aqueous ethanolamine at
elevated temperature was established. Experimentation is still in progress to
pinpoint more specific ETA/resin reactions. However, we have sufficient
information to proceed with Phase 2. Two directions for Phase 2 are suggested:
(1) define the impact of the hypothesized fouling mechanism on ion exchange
resin performance; and (2) propose an alternative amine to ETA.
Sponsor: Electric
Power Research Institute (EPRI)
PIs: Gary L. Foutch
College of Arts and Sciences: Alan Apblett
Gas Phase Corona Technology for Treatment of VOC Paint
Booth Emissions
This research project has four phases. The first phase will
utilize OSU’s most recent plasma design which is scalable by constructing
many small reactors and packing them like straws in a can. This phase will
focus on assessing the destruction efficiency of the VOCs contained in typical
exhaust from a paint booth by the plasma reactor. The second phase of the
project will size and construct/purchase the requested adsorption technology to
concentrate the VOCs, and investigate the most effective manner (likely steam)
to release these VOCs back into the air phase so they can be directed to the
plasma reactor for destruction. Phase three of the project will involve the
scale-up calculations and actual construction of a plasma reactor to handle the
specified airflow rates. The fourth and final phase will involve testing the
large-scale plasma reactor both with and without the pre-concentrator adsorber
system to assess system performance, and develop detailed operational costs and
maintenance costs.
Sponsor: Altech
Services, Inc.
PIs: Gary L. Foutch,
Arland H. Johannes
School of Civil and Environmental Engineering: John N.
Veenstra
Modeling the Performance of Mixed-Bed Ion Exchange Units
Used to Produce Ultrapure Water
A consortium of companies supports general research in the
area of ultrapure water processing. Funds are used to support graduate students
in chemical engineering. Companies are invited to campus annually to hear presentations
of the work completed and to present information on future industrial interest
in ultrapure water processing. A range of projects have been addressed by this
consortium, including the modeling of ion exchange and membrane systems and the
development of an ion exchange resin database. Specific recent topics include
modeling the boron thermal regeneration system, obtaining ion exchange
selectivity data by chromatography, and obtaining the mass transfer
characteristics of industrial ion exchange resins.
Sponsors: Duke Power
Company, Knolls Atomic Power Laboratory, PECO Energy Company, Pennsylvania
Power and Light, Public Service Electric and Gas
PI: Gary L. Foutch
OSU Ultrapure Water Research Consortium
The overall objective of the UWC is to improve the
fundamental understanding of ultrapure water processing. This objective is
accomplished by developing detailed computer models that accurately predict ion
exchange and membrane technology performance. The precise focus of the project
is continuously refined through consultations with the sponsors at annual
meetings, which has proven to be very successful in expanding dialog among
students and industrial liaisons.
Sponsors: Dow
Chemical Company, Intel, Pennsylvania Power and Light, Knoll’s Atomic
Power Laboratory, British Energy, Arizona Public Service, Virginia Power,
Public Service Electric and Gas
PIs: Gary L. Foutch
College of Arts and Sciences: Allen Apblett
Research Related to the Production of Titanium Dioxide
This project will model the Kerr-McGee Titanium Dioxide
production process using FLUENTTM, a commercial computational fluid dynamics
program, and compare the results with plant data and current Kerr-McGee
simulations performed with CFXTM. Initial efforts will focus on two- and
three-dimensional fluid mechanics and heat transfer simulation, with the
objective of defining nozzle geometry and operating conditions that will
minimize or prevent material buildup on the reactor wall.
Sponsor: Kerr-McGee
Chemical Corporation
PIs: Gary L. Foutch,
Arland H. Johannes
School of Mechanical and Aerospace Engineering: Afshin J.
Ghajar
Integrated Petroleum Environmental Consortium (IPEC)
Research Administrative Services
Dr. Gasem has received the annual allocation as the OSU
Associate Director of IPEC. These funds will be used to assist him in
discharging his duties as described by the IPEC bylaws.
Sponsors: University
of Tulsa, Integrated Petroleum Environmental Consortium
PI: Khaled Gasem
Sequestering Carbon Dioxide in Coalbeds
The specific focus of the proposed research is to
investigate the competitive adsorption behavior of methane, CO2, and nitrogen
on the surface of a variety of coals. Measurements will focus on the adsorption
of the pure gases as well as their mixtures. Data will be taken on coals of various
physical properties at appropriate temperatures, pressures, and gas
compositions to identify the coals and conditions for which the proposed
environmental and energy applications are most attractive.
Sponsor: Department
of Energy
PIs: Khaled Gasem,
Robert L. Robinson, Jr.
Experimental Batch Optimization
The purpose of this collaborative project is to develop new
techniques for experimental optimization of batch recipes in real-time.
Research software, developed at OSU, will be implemented at Eastern Carolina
University (ECU) where it will receive in-situ spectroscopic measurements and
process measurements from the laboratory batch reactor under development at
ECU. The ultimate goal of the project will be to deliver a software program and
demonstrate new techniques for experimental optimization of batch reactions.
Sponsor: University
of Tennessee
PIs: Karen A. High,
R. Russell Rhinehart
Green Technology Process Design and Assessment with
Energy and Sustainability Considerations
Five objectives will be addressed by this research: (1)
Recognize the state-of-the-art development of sustainability research. Assess
and select promising green technologies for process development, (2) Set up a
holistic assessment system for sustainability of processes derived from
potential environmental impact, natural resources consumption, and economic
evaluation, (3) Formulate a mathematical model with data from process
simulation to optimize objective functions, (4) Establish an artificial
intelligent alternative generator to assist engineers to form processes
alternatives, (5) Develop user-friendly software to implement the methodology
for practical uses.
Sponsor:
Environmental Institute’s Energy Research Center
PI: Karen A. High
Measurement and Control Engineering Center
OSU created a Measurement and Control Engineering Center in
affiliation with the National Science Foundation and the University of
Tennessee, Knoxville (UTK). Twenty-five companies are contributing both
financial support and program direction. The Center will bring industrial needs
for improved control into the university for studies and evaluations by faculty
and students. The Center was developed at UTK, where the research emphasis has
been in measurement and analysis. The reputation of OSU faculty in applied
control makes OSU attractive to all of them, and the establishment of an
affiliate site in Stillwater will help broaden the industry support base. For
industry considering joining the OSU control center, becoming a partner with
the MCEC is very attractive because it opens access to prior technology, other
applied researchers, and an established, successful enterprise. Industrial
Sponsorship is $35,000 per year. At semi-annual meetings, faculty presents
progress to industry, industry provides direction for the next six months work,
and industry selects projects for continued and new funding from the
sponsorship pool.
Sponsors: National
Science Foundation, Various Industrial Sponsors
PIs: Karen A. High,
R. Russell Rhinehart
Travel Grant: AIChE Women’s Initiative Committee
Session for “Advancement and Retention of Female Chemical Engineers:
Issues and Strategies”
The purpose of this proposal is to
request travel funds for two speakers (Catherine Didion and Regina Murphy) to
present at the Woman’s Initiative Committee Session entitled
“Advancement and Retention of Female Chemical Engineers: Issues and Strategies” at the
Annual American Institute of Chemical Engineers (AIChE) meeting in Indianapolis.
The biggest impact will be to the AIChE audience that rarely has the
opportunity to attend sessions by the various speakers.
Sponsor: National
Science Foundation
PI: Karen A. High
Travel Grant: AIChE Women’s Initiative Committee
Session for “Women Engineering Success from the Inside Out”
This project will allow four speakers to present at the
Woman’s Initiative Committee Session at the Annual American Institute of
Chemical Engineers (AIChE) meeting. All of the speakers are women and most are
not AIChE members.
Sponsor: National
Science Foundation
PI: Karen A. High
Catalytic Activity of Nafion Solid Acid Catalysts
The purpose of this project is to determine the scope of
catalytic activity of High Surface Area Nafion catalysts in olefin processing.
OSU will be engaged in research activities to determine the usefulness of HAS
Nafion catalysts and other reactions to improve the quality of alkylation feeds
or provide better quality and volume products from olefin feeds versus
currently available technologies.
Sponsor: Conoco,
Inc.
PIs: Martin S. High,
Karen A. High
Prediction of Corrosion Rates and Sites for Gas and Oil
Wells
This project was initiated to predict and mitigate the
effects of corrosion in oil and natural gas wells. The economic viability of
gas and oil production in the United States depends to a large extent on the
life of wells in the highly corrosive environments typically found in the U.S.
This is particularly important for wells in Oklahoma where the natural gas
contains unusually large amounts of corrosive hydrogen sulfide and carbon
dioxide. The models developed in this project are a combination of the
thermodynamic, fluid mechanical, and corrosion mechanisms that are important in
downhole systems.
Sponsors: Amoco
Production Company, Chevron Research and Technology Company, Conoco, Oryx
Energy Company, Phillips Petroleum Company
PIs: Martin S. High,
D. Alan Tree, Jan Wagner
Biomass-based Energy Research
This project is one of the integrated activities by the
Oklahoma/Mississippi Consortium (Oklahoma State University, University of
Oklahoma, and Mississippi State University). These activities will be
accomplished through five primary research projects: Feedstock Development,
Biomass Gasification and Syngas Conditioning, Syngas Fermentation, Microbial
Catalyst Development, and Economics. These projects will be working
synergistically and are aligned to address the most important issues in the
conversion of biomass to liquid fuel.
Sponsor: U.S.
Department of Agriculture
PIs: Randy S. Lewis,
A.J. Johannes
Division of Agricultural Sciences and Natural Resources: Ray
L. Huhnke, Danielle Bellmer, Charles Taliaferro, Francis M. Epplin, Timothy J.
Bowser
Conversion of Low-Cost Biomass to Ethanol
Conversion of underutilized low-cost biomass to liquid fuel
and other useful products at a price competitive with fossil fuel derivatives
is one of the prime objectives of renewable energy research. The primary
mission of our project is to further develop the bioconversion technology,
which uses low-cost biomass for production of ethanol.
Sponsor: U.S.
Department of Agriculture
PI: Randy S. Lewis
Elucidation of Metabolic Pathways of an Acetogenic
Organism Able to Convert Synthesis Gas into Ethanol and Other Byproducts
The immediate objectives of this research are to (1) develop
assays for enzymes from the P7 strain involved with the bioconversion of
H2/CO/CO2 to ethanol, (2) identify enzymes involved in the rate-determining
steps and assess parameters affecting these enzymes, and (3) identify control
strategies to inhibit competing pathways.
Sponsor:
Environmental Institute’s Energy Research Center
PIs: Randy S. Lewis
Division of Agricultural Sciences and Natural Resources:
Jerald A. Lalman
Novel Polymers Designed to Minimize Platelet Adhesion
A polymer has been modified with cysteine such that platelet
deposition is significantly inhibited following exposure to plasma. The overall
objective of this project is to optimize the modified polymer using cysteine
modification to completely inhibit platelet deposition. This objective will be
achieved following the completion of three specific aims, (1) measurement and
modeling of transnitrosation and nitric oxide release, (2) optimize polymer
modification to enhance nitric oxide release, and (3) application of optimized
polymers to plasma and blood.
Sponsor: National
Science Foundation
PI: Randy S. Lewis
Biodegradable Scaffolds for Tissue Regeneration
This project will focus on (1) developing novel blends of
biomaterials that can be tailored to required biomechanical properties, (2)
optimizing macro- and micro-architecture of scaffolds, and (3) design and
development of bioreactors. Project will be emphasized toward developing
optimized scaffolds for applications such as heart valves and vascular grafts.
Sponsor: Oklahoma
Center for the Advancement of Science and Technology (Applied Research)
PI: Sundararajan V.
Madihally
EPSCoR Research Infrastructure Improvement Plan
This project is in support of the College of Arts and
Science’s EPSCoR Research Infrastructure Improvement Plan. Graduate
research assistance is the focal point of the College of Engineering,
Architecture and Technology involvement.
Sponsor: National
Science Foundation
PI: James E. Smay
Formation and Assembly of Complex Nanoparticle Building
Blocks
The research project is developing a methodology for
synthesizing complex nanoscale hetero-clusters with well-defined geometrics and
assembling them into ordered superstructures.
Sponsor: Oklahoma
EPSCoR for Oklahoma State Regents for Higher Education
PI: James E. Smay
Automatic Model Adjustment
Models are used in the process industries for model
predictive control, process optimization, event scheduling, and on-line fault
diagnosis. However, the manufacturing process behavior is always changing, and
therefore the model becomes out of date. When this happens, the effectiveness
of the model-based strategy degrades. The objective of this project is to
develop and analyze automatic methods to identify when process/model mismatch
has increased to the point where the system should initiate model adaptation.
There are two main functions in the approach. The first is to identify when
control performance is bad. The other is to determine whether there is
statistical evidence to justify model adjustment. The work is being conducted
using both simulated and actual plant data.
Sponsor: Measurement
and Control Engineering Center
PIs: James R.
Whiteley, R. Russell Rhinehart
Oklahoma State University Geothermal Smart Bridge
This proposal describes a project aimed at research,
development, and technology transfer associated with a bridge deck heating
system to eliminate preferential icing. The proposed bridge deck-heating system
(1) is hydronic, i.e., a heated fluid is circulated through tubes embedded in
the bridge deck; (2) makes use of a ground source heat pump system, which
recovers energy stored in the earth, and uses it to heat the fluid circulated
through the bridge deck; (3) is automatic, integrates with the available
intelligent transportation systems and makes use of local and remote weather
stations to forecast potential icing conditions; and (4) is expected to enhance
both safety, by eliminating preferential icing conditions, and bridge deck
life, by eliminating the application of salt on the bridge and reducing
corrosion of the reinforcing steel.
Sponsor: Federal
Highway Administration
PIs: James R.
Whiteley
Division of Engineering Technology: Marvin D. Smith
School of Mechanical and Aerospace Engineering: Jeffrey D.
Spitler, Daniel E. Fisher, Ronald
D. Delahoussaye
School of Civil and Environmental Engineering: M. Samir Ahmed
Biosystems and Agricultural Engineering: Ronald L. Elliott
Environmental Institute: Edward T. Knobbe
Development of Process Cause and Effect by Artificial
Intelligence (AI)
Develop an algorithm that
autonomously observes process data and develops linguistic cause-and-effect
relationships in dynamic (time dependent), noisy, continuous processes when
affected by natural events (not intentionally perturbed). Antecedents will
include persistence and variable delays. Initially, genetic algorithms are proposed
to develop neural-fuzzy rules. Quality of rules will be evaluated by goodness
(likelihood of consequent happening), completeness (all events that could
create an outcome are included in the antecedent), complexity (minimal
variables and conjunctions in the antecedent), and sufficiency of data to
evaluate rule. This multi-objective situation will be treated with Pareto
Optimal techniques.
The cause-and-effect relations
might be expressed as, “if the flow rate decreased somewhat a short time
past, and if a catalytic reactor was recently regenerated, then the product
will be slightly yellow.” Or
as, “if the cycle time for the carbon bed absorber is less than 4 hours,
and product X is more than 10% of total production, then the recovered solvent
will contain more than 50% water. If we know these cause-and-effect
relationships, then we can use that knowledge to better manage our processes.
The “intelligent
system” could be used to discover process relationships faster than human
experience would generate their operational expertise, and without human bias.
Once discovered, these cause-and-effect rules could be used to warn operational
staff of pending events so that they can take timely and directed corrective
action. The rules could be used to automatically trigger control action. The
rules could be used to guide process re-engineering that would eliminate the
causes or the process mechanism that leads to the effect.
Sponsor: Measurement
and Control Engineering Center
PIs: Gary G. Yen, R. Russell Rhinehart