scholarly journals Design and experimental performance verification of a thermal property test-bed for lunar drilling exploration

2016 ◽  
Vol 29 (5) ◽  
pp. 1455-1468 ◽  
Author(s):  
Tao Zhang ◽  
Zeng Zhao ◽  
Shuting Liu ◽  
Jinglin Li ◽  
Xilun Ding ◽  
...  
2001 ◽  
Vol 123 (3) ◽  
pp. 194-199 ◽  
Author(s):  
A. Hunter Fanney ◽  
Brian P. Dougherty

The widespread use of building integrated photovoltaics appears likely as a result of the continuing decline in photovoltaic manufacturing costs, the relative ease in which photovoltaics can be incorporated within the building envelope, and the fact that buildings account for over 40% of the U.S. energy consumption. However, designers, architects, installers, and consumers need more information and analysis tools in order to judge the merits of building-integrated solar photovoltaic products. In an effort to add to the knowledge base, the National Institute of Standards and Technology (NIST) has undertaken a multiple-year project to collect high quality experimental performance data. The data will be used to validate computer models for building integrated photovoltaics and, where necessary, to develop algorithms that may be incorporated within these models. This paper describes the facilities that have been constructed to assist in this effort. The facilities include a mobile tracking photovoltaic test facility, a building integrated photovoltaic test bed, an outdoor aging rack, and a meteorological station.


Author(s):  
Brooks P. Byam ◽  
Clark J. Radcliffe

Abstract Computer modeling of engineering systems with a large number of interconnected multi degree of freedom (DOF) subsystems requires flexible modeling tools. Flexible modeling tools with arbitrary input-output structure formulate equations to fit the input-output structure of specific engineering systems at the cost of globally reformulating equations with every model change. Each equation formulation requires experimental performance verification. This can be particularly cumbersome in the design, development, and refinement of large models. In previous work Byam and Radcliffe designed modular modeling, a flexible modeling method that eliminates equation reformulation and enhances model experimental performance verification in large models. A fixed input-output structure for all multi DOF modular modeling elements eliminates equation reformulation. The cost is a connector constraint to assemble elements, thereby adding complexity to the global model. Solving linear modular models is a systematic realization of compatible standardized modular elements and connectors. In this work, a modular solution to linear models of engineering systems is defined. Structural and automotive examples are given.


2002 ◽  
Vol 38 (23) ◽  
pp. 1460 ◽  
Author(s):  
M.L. Rocha ◽  
S.M. Rossi ◽  
M.R.X. Barros ◽  
L. Pezzolo ◽  
J.B. Rosolem ◽  
...  

2009 ◽  
Vol 390-391 ◽  
pp. 1070-1073 ◽  
Author(s):  
R. Daviot ◽  
E. Gauthier ◽  
S. Carpentier ◽  
Y. Corre ◽  
J.L. Gardarein

2013 ◽  
Vol 135 (6) ◽  
Author(s):  
Jeunghwan Choi ◽  
Michael Morrissey ◽  
John C. Bischof

Biothermal engineering applications impose thermal excursions on tissues with an ensuing biological outcome (i.e., life or death) that is tied to the molecular state of water and protein in the system. The accuracy of heat transfer models used to predict these important processes in turn depends on the kinetics and energy absorption of molecular transitions for both water and protein and the underlying temperature dependence of the tissue thermal properties. Unfortunately, a lack of tissue thermal property data in the literature results in an overreliance on property estimates. This work addresses these thermal property limitations in liver, a platform tissue upon which hyperthermic engineering applications are routinely performed and a test bed that will allow extension to further tissue property measurement in the future. Specifically, we report on the thermal properties of cadaveric human and porcine liver in the suprazero range between 25 °C to 80 °C for thermal conductivity and 25 °C to 85 °C for apparent specific heat. Denaturation and water vaporization are shown to reduce thermal conductivity and apparent specific heat within the samples by up to 20% during heating. These changes in thermal properties significantly altered thermal histories during heating compared to conditions when properties were assumed to remain constant. These differences are expected to alter the biological outcome from heating as well.


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