NTC calibration and multiple temperature sensors: Difference between revisions
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can be approximated (exercise: when) as Maxwell-Boltzmann exponential | can be approximated (exercise: when) as Maxwell-Boltzmann exponential | ||
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e^{-\beta(\epsilon-\mu)} | f_{M-B}(\epsilon)=e^{-\beta(\epsilon-\mu)} | ||
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Revision as of 19:40, 20 September 2023
Introduction
Calibration of NTC sensors and different
NTC
Note that the temperature of the sensor rises when the current supplies through the resistor. The NTC is nonlinear; see below Calibration.
Negative Temperature Coefficient, NTCLE100E3101JB0 or similar (MF52B NTC Thermistor). The NTC is connected in series with a "shunt" resistor , see Measurement of resistors: voltage divider. Usually is used. The total resistance of the circuit is , which gives
or
depending on the circuit. So check the circuit.
Calibrating: Steinhart-Hart Equation
A nonlinear Steinhart-Hart equation is widely used
The parameters , and can be obtained, if the resistance of three (3) temperatures is known.
Calibrating using known datapoints
Though the NTC sensor is nonlinear, locally it will be linear. Thus by using some known datapoints the temperature can be estimated.
Some known datapoints:
- boiling water 100 deg
- room temperature
- freezing point of water
= LM35DZ
GY-91
Semiconductor Physics
Resistivity: where is the density or number of charge carriers, . Electrons are spin-1/2 particles and thus they obey Fermi-Dirac statistics. The electron current through a perpendicular semiconductor sample is
and the total current is the sum of electrons and holes; . The proportionality constant is called conductivity, and its inverse is the resistivity:
Usually only other ( or ) is dominant.
Obs! The term is called electron mobility and is defined by Newton II law:
The Fermi energy is the highest energy of the collection of electrons at T=0 Kelvin is the "primitive" approximation. Fermi-Dirac distribution can be approximated (exercise: when) as Maxwell-Boltzmann exponential