scholarly journals On-Chip Thermal Insulation Using Porous GaN

Proceedings ◽  
2018 ◽  
Vol 2 (13) ◽  
pp. 776 ◽  
Author(s):  
Bogdan F. Spiridon ◽  
Peter H. Griffin ◽  
John C. Jarman ◽  
Yingjun Liu ◽  
Tongtong Zhu ◽  
...  
Keyword(s):  
Thermal Insulation ◽  
High Speed ◽  
Thermal Characterization ◽  
Semiconductor Materials ◽  
3Ω Method ◽  
Theoretical Predictions ◽  
Order Of Magnitude ◽  
On Chip ◽  
Fundamental Requirement

This study focuses on the thermal characterization of porous gallium nitride (GaN) usingan extended 3ω method. Porous semiconductor materials provide a solution to the need for on-chipthermal insulation, a fundamental requirement for low-power, high-speed and high-accuracythermal sensors. Thermal insulation is especially important in GaN devices, due to the intrinsicallyhigh thermal conductivity of the material. The results show one order of magnitude reduction inthermal conductivity, from 130 W/mK to 10 W/mK, in line with theoretical predictions for porousmaterials. This achievement is encouraging in the quest for integrating sensors with opto-, powerandRF-electronics on a single GaN chip.

Precise Thermal Characterization of Confined Nanocrystalline Silicon by a 3ω Method

2005 ◽  
Vol 44 (6A) ◽  
pp. 4084-4087 ◽  
Author(s):  
Takashi Kihara ◽  
Toshihiro Harada ◽  
Nobuyoshi Koshida
Keyword(s):  
Thermal Characterization ◽  
Nanocrystalline Silicon ◽  
3Ω Method

scholarly journals Processing and Characterization of Silicon Nitride Nanofiber Paper

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Kei-Peng Jen ◽  
Ronald Warzoha ◽  
Ji Guo ◽  
Michael Tang ◽  
Sridhar Santhanam
Keyword(s):  
Silicon Nitride ◽  
Thermal Insulation ◽  
Reduction Process ◽  
Thermal Characterization ◽  
Nitride Phase ◽  
Mechanical Stiffness ◽  
Precursor Material ◽  
Processing Step

Papers of silicon nitride nanofibers were synthesized by a carbothermal reduction process. These nanofiber papers were synthesized in situ and did not require a secondary processing step. The process utilized silica nanopowders and silica gel as the precursor material. Processing geometry played a crucial role in regulating the growth of the nanofiber papers. Characterization of the nanofiber papers indicated that the nanofibers were of the alpha silicon nitride phase. Both mechanical stiffness and strength of the nanofiber papers were measured. Thermal conductivity and specific heat of the papers were also measured and were found to be lower than many common thermal insulation materials at much smaller thicknesses and were comparable to those values that are typically reported for carbon-nanotube-based buckypaper. Results of the mechanical and thermal characterization indicate that these silicon nitride nanofiber papers can be utilized for specialized thermal insulation applications.

scholarly journals Microstructural and Thermo-Physical Characterization of a Water Hyacinth Petiole for Thermal Insulation Particle Board Manufacture

Materials ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 560 ◽  
Author(s):  
Adela Salas-Ruiz ◽  
María del Mar Barbero-Barrera ◽  
Trinidad Ruiz-Téllez
Keyword(s):  
Particle Size ◽  
Thermal Insulation ◽  
Water Hyacinth ◽  
Eichhornia Crassipes ◽  
Construction Material ◽  
Chemical Characterization ◽  
Thermal Characterization ◽  
Particle Board ◽  
Global Concern

Water Hyacinth (Eichhornia crassipes) is a dangerous and invasive aquatic species, of which global concern has sharply risen due to its rapid growth. Despite ample research on its possible applications in the construction field, there are no clear references on the optimal use of the plant in finding the most efficient-use building material. In this paper, a microstructural and chemical characterization of the Water Hyacinth petiole was performed, in order to find the most efficient use as a construction material. Subsequently, two types of binder-less insulation panels were developed, with two types of particle size (pulp and staple). A physical, mechanical, and thermal characterization of the boards was performed. These results demonstrated that it is possible to manufacture self-supporting Water Hyacinth petiole panels without an artificial polymer matrix for thermal insulation. The boards showed good thermal conductivity values, ranging from 0.047–0.065 W/mK. In addition, clear differences were found in the properties of the boards, depending on the type of Water Hyacinth petiole particle size, due to the differences in the microstructure.

scholarly journals Thermal characterization of fibrous aerogel blanket

2019 ◽  
Vol 282 ◽  
pp. 01001 ◽  
Author(s):  
Ákos Lakatos ◽  
Anton Trnik
Keyword(s):  
Thermal Annealing ◽  
Thermal Insulation ◽  
Thermal Characterization ◽  
Insulation Material ◽  
Scanning Calorimetry ◽  
Solid Materials ◽  
Plastic Foams ◽  
Isothermal Heat Treatments ◽  
New Buildings

Nowadays, the application of thermal insulation materials both by the existing and by new buildings is one of the most important actions in order to reduce the energy loss of buildings. Besides the use of the conventional insulations (plastic foams and wool materials) aerogel is one of the most promising thermal insulation material. Aerogels, one of the lightest solid materials available today, are manufactured through the combination of a polymer with a solvent forming a gel. For buildings the fibre reinforced ones are the mainly used types. It is produced by adding the liquid-solid solution to the fibrous batting. In this paper changes in the thermal performance of the aerogel blanket will be followed after thermal annealing. The samples will be put under isothermal heat treatments at 70 °C for 6 weeks, as well as they will be put under thermal treatment at higher temperatures (from 70 °C till 210 °C) for 1 day. The changes in the thermal conductivity will be followed by Holometrix Lambda heat flow meter, as well as, Differential Scanning Calorimetry results will be presented. From the measured values, thermal properties will be calculated. In this paper we will try to clarify the role played by thermal annealing in thermal diffusivity.

Thermal characterization of thin film heater for lab-on-chip application

2015 ◽  
Author(s):  
Giulia Petrucci ◽  
Domenico Caputo ◽  
Augusto Nascetti ◽  
Nicola Lovecchio ◽  
Emanuele Parisi ◽  
...  
Keyword(s):  
Thin Film ◽  
Thermal Characterization ◽  
Lab On Chip ◽  
On Chip

Thermal characterization of coal using piezoelectric photoacoustic microscopy

1986 ◽  
Vol 64 (9) ◽  
pp. 1184-1189 ◽  
Author(s):  
A. Biswas ◽  
T. Ahmed ◽  
K. W. Johnson ◽  
K. L. Telschow ◽  
J. C. Crelling ◽  
...  
Keyword(s):  
Elastic Properties ◽  
Coefficient Of Thermal Expansion ◽  
Thermal Characterization ◽  
Photoacoustic Signal ◽  
Photoacoustic Microscopy ◽  
Piezoelectric Detection ◽  
Theoretical Predictions ◽  
Coal Macerals

The organic constituents that make up the heterogeneous coal mass are called macerals. Vitrinite and pseudovitrinite are two of the most abundantly occurring macerals in North American coals. Photoacoustic microscopy using piezoelectric detection offers a useful technique for probing the thermal-elastic properties of these coal macerals. The experimental and theoretical conditions under which photoacoustic microscopy can be used to characterize the in situ thermal-elastic properties of macerals, as a function of the percentage of carbon or "rank" of coal, are investigated in this paper. Existing piezoelectric photoacoustic theory has been applied to our sample–transducer configuration to arrive at an expression for the voltage measured from the piezoelectric transducer. The theory indicates that the photoacoustic signal is related to the following sample properties: coefficient of thermal expansion a, bulk modulus B, density ρ, and specific heat c. These properties are coupled together into a dimensionless parameter given by aB/ρc, to which the measured voltage is proportional. Some experimental results used to test the validity of the theoretical predictions are presented. Photoacoustic data gathered on 10 Appalachian Basin coals are plotted as a function of the coal rank. These results are shown to compare favourably with a calculated curve, constructed using independently measured values of a, B, ρ, and c.

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