Keywords and Phrases
Analytical model; Convection; One-dimensional; Parameter estimation; Thermal conductivity
“In thermal applications, thermal conductivity is used to predict how well a material conducts heat. The accuracy of the magnitude of the thermal conductivity becomes increasingly essential to optimize part geometry. Thermal conductivity can vary significantly from the nominal value due to post-processing. The ASTM standards available to measure thermal conductivity are challenging to reproduce because of the insulated and prescribed temperature boundary conditions that are needed. The research introduces two new methods for estimating thermal conductivity that deliver the same accuracy as the existing ASTM standards and are easier to implement. The methods account for losses in the heating to enable a better estimation of thermal conductivity. This research is directly applicable to estimating the thermal conductivity of additively manufactured materials. Additive manufacturing (AM) is being increasingly used for thermal applications; However, additive manufacturing can significantly affect thermal conductivity”--Abstract, page iv.
Stutts, Daniel S.
Beetner, Daryl G.
Dharani, Lokeswarappa R.
Mechanical and Aerospace Engineering
Ph. D. in Mechanical Engineering
Intelligent Systems Center
Missouri University of Science and Technology
Journal article titles appearing in thesis/dissertation
- Material thermal properties estimation via a one-dimensional transient convection model
- Influence of porosity on the thermal, electrical, and mechanical performance of selective laser melted stainless steel
- Data on the validation to determine the material thermal properties estimation via a one-dimensional transient convection model
- Thermal conductivity estimation via a multi-point harmonic one-dimensional convection model
xvi, 127 pages
© 2022 Lauren Bryce Tomanek, All rights reserved.
Dissertation - Open Access
Tomanek, Lauren B., "Determining thermal properties via parameter estimation of a one-dimensional, analytical model" (2022). Doctoral Dissertations. 3161.