2007 Graduate
Student Technical Conference | March
30-31, 2007 University of Idaho Moscow, ID
Held in conjunction with the annual Student Professional
Development Conference (SPDC) | |
|
GSTC
Home |
| Thermophysical
Properties Measurement and Numerical Modeling of Nanofluids | Praveen
Namburu University of Alaska / Fairbanks
| Advisor:
Dr. Debendra K. Das ffdk@uaf.edu |
| ABSTRACT |
In
the cold regions of the world, a great deal of energy is expended heating industrial
and residential buildings. Due to the severe winter conditions, ethylene glycol
or propylene glycol mixed with water in different volume percentages are typically
used to lower the aqueous freezing point of the heat transfer medium. A 60% ethylene
glycol and 40% water by weight fluid mixture is most commonly used in the sub-arctic
and arctic regions. Nanofluids are new kind of fluids engineered by dispersing
nanoparticles in base fluids such as glycol/water mixture. We have conducted experiments
with 60/40 ethylene glycol and water mixture containing 29nm diameter copper oxide
nanoparticles and silicon dioxide nanoparticles with average diameters of 20 nm,
50 nm, and 100 nm in varying volume percentages in order to determine the viscosity
and specific heat of these nanofluids. Determining
the viscosity of nanofluids is essential to establish pumping power as well as
the convective heat transfer coefficient, as the Prandtl number and Reynolds number
are functions of viscosity. Prandtl number is also a function of specific heat.
Nanofluids of various particle volume percentages (2, 4, 6, 8 and 10 %) were tested.
The viscosity experiments were carried over a wide range of temperature from -35?C
to 50?C to demonstrate their applicability in cold regions. An exponential correlation
for viscosity was derived from experimental data as a function of temperature
and volume percentage. To
ascertain the superior heat transfer capability of nanofluids, analysis in a rectangular
channel with two-phase flow was modeled using Fluent. Eulerian granular phase
model was adopted to simulate different particle diameters and volume concentrations
of micro particle (as nanoparticle models are not available) dispersions in water.
Laminar and Turbulent flows were modeled to predict the convective heat transfer
coefficient and pressure loss in a channel. Praveen
K Namburu1, Devdatta P Kulkarni1, Greg Newby2, Debendra K Das1 1Department
of Mechanical Engineering, 2Arctic Region Supercomputing Center University
of Alaska Fairbanks, Fairbanks, AK 99775, USA *Corresponding Author: Email:ftpkn1@uaf.edu
Ph.907-474-7409 |
| Using
Axiomatic Design Tools to Evaluate Quality in Capstone Projects | Lloyd
Gallup University of Idaho
| Advisor:
Dr. Edwin Odom eodom@uidaho.edu
| | ABSTRACT |
Capstone
design courses balance attention between development of design solutions and management
of project processes. Despite intermediate deliverables, neither high quality
solutions nor on-time completion are guaranteed. This work was undertaken to determine
the extent to which Axiomatic Design tools such as expanded symmetric trees are
effective in tracking project progress, selecting design concepts, and improving
manufacturability. Several capstone projects were selected for studying added
value in using Axiomatic Design methods. Using a spreadsheet template that embodied
Axiomatic Design principles and allocating a portion of instructor/team meeting
time to design evaluation with this tool, students and faculty reported more open
communication of project progress, fewer design changes, and faster solution development.
In the future, we plan to use Axiomatic Design coaching practices with all senior
design teams to inform their design process and to ensure high quality results.
Lloyd
Gallup Steven Beyerlein University of Idaho Mechanical Engineering |
| Element
Sizing in Truss/Beam Structures Containing Shear Panels Using Genetic Optimization
Algorithms | Chris
Huck University of Idaho
| Advisor:
Dr. Edwin Odom eodom@uidaho.edu
| | ABSTRACT |
Shear
panels can be used in a truss structure to reduce the size of truss/beam elements
by carrying a portion of the applied loads. Genetic optimization of truss structures
involves iteratively using section properties of elements possessing the most
desirable properties as the basis for the next design generation. Convergence
occurs when no further modification of the elements will result in a significantly
lighter structure. The same technique can be applied to the thickness of shear
panel elements. As the thickness of a shear panel approaches zero, its effectiveness
within the truss/beam structure is minimized and its presence will not reduce
the size and weight of the truss/beam elements to which it is attached. One of
the objectives of this work is to help designers determine where shear panels
would be of no benefit in a truss/beam structure. Implementation of shear panel
elements into the evolutionary structural optimization program (ESOP) developed
by a previous graduate student provides a new tool to minimize the weight of truss/beam
structures. This technology can guide designers to more effective use of material
in applications including automotive and architectural structural components.
|
| Lightweight
Hybrid Powertrain Design | Jason
Sagen University of Idaho
| Advisor:
Dr. Edwin Odom eodom@uidaho.edu
| | ABSTRACT |
Hybrid
vehicles provide promising research because they combine internal combustion engines
with electric drive systems to create a system that burns less fuel, has lower
emissions, and has as much power as standard vehicle. To get the most efficiency
out a hybrid system, it needs to be lightweight, properly sized and durably designed.
A perfect test bed for these hybrid systems is the Hybrid FSAE competition. Hybrid
FormulaSAE (Hybrid FSAE) is a competition based around high efficiency, lightweight
hybrid drive vehicles. This presentation discusses the design options of a Hybrid
FSAE powertrain. |
| Determination
of Mechanical Properties of Nano-Scale Coil Springs | Matt
Smith University of Idaho
| Advisor:
Dr. Edwin Odom eodom@uidaho.edu
|
| ABSTRACT |
The
University of Idaho Physics Department has developed a groundbreaking technique
for construction of nano scale coil springs (or nanosprings) via a modified vapor-liquid-solid
(VLS) mechanism. These springs can be constructed from boron carbide, silicon
carbide, and silicon dioxide, and are of interest to researchers because of their
potential applications in biological and chemical sensors, biomedical drug delivery,
and micro-scale machinery applications. Springs of regularly spaced uniform dimensions
are routinely batch fabricated, with major diameter and pitch on the order of
100 to 200 nm and wire diameter on the order of tens of nm. One aspect of current
research seeks to characterize the mechanical characteristics of these springs
for use in future mechanical applications. Equipment limitations and the extremely
small scale of the springs preclude testing of force-displacement relations in
the axial direction, and current testing utilizes a scanning electron microscope
for visual determination of spring dimensions plus a completely separate atomic
force microscope to laterally displace the springs while simply supported at each
end across a calibrated span. A comprehensive classical mechanics solution for
the displacement of a coil spring due to a lateral rather than axial force has
been derived, assuming linear-elastic behavior. Current experimentation involves
verification of this theoretical solution with an automotive-scale coil spring.
Future plans to expand this correlation to the nano scale will be discussed. |
|
GSTC
Home |
|
|