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Thermal conductivity and enhanced thermoelectric efficiency of composition-graded $${\hbox {Si}}_c{\hbox {Ge}}_{1-c}$$ alloys
- Source :
- Zeitschrift für angewandte Mathematik und Physik. 71
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- We explore the efficiency of a thermoelectric energy converter constituted by a Si/Ge nanowire of length L. A constitutive equation of thermal conductivity as function of composition and temperature is derived in accordance with experimental data obtained at the constant temperatures $$T=300\,\hbox {K}$$, $$T=400\,\hbox {K}$$, and $$T=500\,\hbox {K}$$ by a nonlinear regression method. A thermodynamic model of thermoelectric energy converter is developed in accordance with second law of thermodynamics. Then, we investigate the thermoelectric efficiency of such system as function of the composition, and of both composition and temperature gradients applied at its ends. For each temperature, we calculate the values of composition and heat conductivity giving the optimal efficiency of the thermoelectric energy conversion. A series of constraints on the material functions entering the model equations, which are necessary and sufficient to guarantee the optimal efficiency of the system, are determined and discussed.
- Subjects :
- Materials science
Applied Mathematics
General Mathematics
media_common.quotation_subject
Constitutive equation
Nanowire
General Physics and Astronomy
Thermodynamics
Second law of thermodynamics
Function (mathematics)
01 natural sciences
010305 fluids & plasmas
Thermal conductivity
Composition-graded materials
Efficiency of thermoelectric energy converters
Figure of merit
Local rate of energy dissipated
0103 physical sciences
Thermoelectric effect
010306 general physics
Nonlinear regression
media_common
Subjects
Details
- ISSN :
- 14209039 and 00442275
- Volume :
- 71
- Database :
- OpenAIRE
- Journal :
- Zeitschrift für angewandte Mathematik und Physik
- Accession number :
- edsair.doi.dedup.....ad1b881231d808811bb744d4371c3afb
- Full Text :
- https://doi.org/10.1007/s00033-020-01311-x