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dc.contributor.advisorDennis, Brian
dc.creatorFabela, Oscar Javier II
dc.date.accessioned2018-02-15T20:15:29Z
dc.date.available2018-02-15T20:15:29Z
dc.date.created2017-12
dc.date.issued2017-12-07
dc.date.submittedDecember 2017
dc.identifier.urihttp://hdl.handle.net/10106/27169
dc.description.abstractThis research describes the application of inverse analysis to estimate the thermal conductivity of a porous material using temperature measurements at the surfaces. Finite volume analysis code is implemented in MATLAB and it is utilized to solve the steady state, axisymmetric heat transfer governing energy equation. The analysis code is coupled with a numerical optimization method and utilized to predict thermal conductivity using the measurements. An experimental setup was developed to test a porous media composed of a mixture of small pellets and air. In experiments, temperature is measured at outer surface of copper tube. These data, serves as input for the inverse analysis. Inside this copper tube, an electric heater is placed at center along with porous mixture at annular gap. Location of the heater is affirmed centrally by special manufactured fixtures and by being attaching at both ends. In addition, thermocouples were installed on the surface of the heater to measure the temperature. Validation of the finite volume code was carried out with ANSYS® and with experimental data. Here, Semi Analytic Complex Variable Method (SACVM) is used to determine the sensitivity of the predicted material properties on error in temperature measurements. This information is used to determine the locations on the surface of the copper tube to take temperature measurements, so as to reduce the effect of measurement errors on the inversely determined parameter. Temperature data at our equidistant locations on copper tube are used as input to the inverse analysis code. The objective function id minimization of least squares error between measured experimental and predicted temperatures. Conjugate Gradient Method (CGM) is used to solve the resulting problem. Accurate sensitivities for the CGM were computed by SACVM. A heater with diameter of 0.0128 m, and a copper tube with a diameter of 0.0296 m are used for these experiments. Top and bottom of heater and copper tube are insulated to force radial direction heat transfer. Convective heat transfer coefficient is assumed as 8 W/m^2 K and ambient temperature is 295 K.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.subjectPorous
dc.subjectThermal conductivity
dc.subjectInverse analysis
dc.titleEFFECTIVE THERMAL CONDUCTIVITY OF POROUS MEDIA BY INVERSE HEAT TRANSFER ANALYSIS
dc.typeThesis
dc.degree.departmentMechanical and Aerospace Engineering
dc.degree.nameMaster of Science in Aerospace Engineering
dc.date.updated2018-02-15T20:17:36Z
thesis.degree.departmentMechanical and Aerospace Engineering
thesis.degree.grantorThe University of Texas at Arlington
thesis.degree.levelMasters
thesis.degree.nameMaster of Science in Aerospace Engineering
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