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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
61

Resolving the heat-flow anomaly at the Galapagos Spreading Center

Patterson, Patricia Lynn 08 1900 (has links)
No description available.
62

Energy transport in the harmonic lattice with isotopic impurities

Allen, Kenneth Richard 12 1900 (has links)
No description available.
63

Ignition of initially unmixed gases at stagnation region of a blunt porous body

Phuoc, Tran-Xuan 12 1900 (has links)
No description available.
64

A study of the heat transfer characteristics in a fin type evaporator

Felton, James Newton, Grommet, Clifford Charles 05 1900 (has links)
No description available.
65

A study of heat transfer from oil globules to a water bath

MacPherson, John William 08 1900 (has links)
No description available.
66

An investigation of the Knudsen limiting law of thermal transpiration

Buice, Ralph Lendon 08 1900 (has links)
No description available.
67

Convective and radiative heat transfer of gases flowing in a vertical tube.

Biggs, Ronald Clarke. January 1968 (has links)
No description available.
68

Immersed surface heat transfer in a vibrated fluidized bed

Malhotra, Karun. January 1984 (has links)
No description available.
69

Heat transfer studies of liquidparticle mixtures in cans subjected to end-over-end processing

Sablani, Shyam Swaroop. January 1996 (has links)
Overall heat transfer coefficient (U) and fluid to particle heat transfer coefficient (h$ sb{ rm fp}$) in canned liquid/particle mixtures, subjected to end-over-end processing, were experimentally evaluated. A methodology was developed to measure heat transfer coefficients, while allowing the movement of the particle inside the can, by attaching it to a flexible fine wire thermocouple. Heat transfer coefficients were evaluated under two conditions: (1) with a single particle in the can, (2) with multiple particles in the can. / In the single particle experiments, a spherical particle was used to evaluate the influence of system parameters and product parameters on associated U and h$ sb{ rm fp}$. Increasing values of all four system variables improved the heat transfer coefficients. The effects of rotational speed and headspace were most significant. The particle density had no significant effect, but liquid viscosity and rotational speed had significant effects on U. The h$ sb{ rm fp}$ values were influenced by rotational speed, liquid viscosity and particle density, with particle density most significant. / With multiple particles (Nylon) in cans, the associated convective heat transfer coefficients (U and h$ sb{ rm fp}$) were evaluated. Heat transfer coefficients increased with decreasing particle diameter, increasing particle concentration and increasing sphericity. / Flow visualization studies were carried out. With a single particle, liquid viscosity, particle density and rotational speed influenced particle motion. With multiple particles, motion/mixing was influenced by particle concentration, size, and shape, liquid viscosity and rotational speed. / Dimensionless correlations were developed for the predictive modeling of convective heat transfer coefficients. For U with a single particle, Nusselt number (Nu) was correlated to Reynolds number (Re), Prandtl number (Pr) and relative can headspace while with multiple particles, Re, Pr, ratio of particle to liquid concentration, relative particle diameter and particle sphericity were found to be significant. For h$ sb{ rm fp}$ with a single particle in the can, three different correlations, one each for a sphere, a cylinder and a cube were developed and the Nu was correlated to Re, Pr, density simplex, relative can headspace and the ratio of the sum of the diameter of rotation and diameter of the can to the can diameter. With multiple particles Nu was correlated to Re or Peclet number, ratio of particle to liquid thermal conductivity, particle to liquid concentration and particle sphericity. / A multi-layer artificial neural network (ANN) was used to model heat transfer parameters under conduction and convection heating conditions. The network was found to predict optimal sterilization temperatures with an accuracy of $ pm$0.5$ sp circ$C, and other responses such as process time and integrated heating time for quality attribute with less than 5% associated errors. Multi-layer neural network models were trained based on the experimental values of U and h$ sb{ rm fp}$, was obtained. The trained network was found to predict U and h$ sb{ rm fp}$ with less than 3% and 5% errors, respectively. The neural network models were more accurate than the dimensionless number models, for predicting U and h$ sb{ rm fp}$. (Abstract shortened by UMI.)
70

Natural convection in a horizontal layer of air with internal constraints. / Free convection in constrained horizontal air layers.

Hollands, K. G. T. January 1966 (has links)
No description available.

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