+++ title = "Temperature Sensors" author = ["Dehaeze Thomas"] draft = false +++ Tags : ## Temperature sensors types {#temperature-sensors-types} There are mainly three main types of temperature sensors: - [Thermocouples](#org-target--sec-temperature-sensor-thermocouple) with are based on the Seebeck effect - [RTD](#org-target--sec-temperature-sensor-rtd) (Resistance Temperature Detectors): made of pure metals (Pt, Ni or Cu) They are all PTC (Positive Temperature Coefficient): PT100, PT1000, Ni100, Ni1000, ... - [Thermistor](#org-target--sec-temperature-sensor-thermistor): made of metal oxide mixtures (semiconductor materials). They typically have a NTC (Negative Temperature Coefficient). ### Thermocouple {#thermocouple} #### Working Principle {#working-principle} Based on Seebeck effect: in a conductor, a temperature difference \\(\Delta T\\) creates an electric field \\(V\\) defined by the Seebeck coefficient \\(\epsilon\\). Consider a material with a Seebeck coefficient \\(\epsilon\_A\\), the voltage difference at its send is: \begin{equation} V\_A = \int\_{T\_1}^{T\_2} \epsilon\_A dT = \epsilon\_A (T\_2 - T\_1) \end{equation} {{< figure src="/ox-hugo/temperature_seebeck_material_A.png" caption="Figure 1: Seebeck effect in a material" >}} Now if two materials are "chained", the overall voltage will be: \begin{equation} V = (\epsilon\_{A} - \epsilon\_{B})(T\_{2} - T\_{1}) \end{equation} {{< figure src="/ox-hugo/temperature_thermocouple_two_materiasl.png" caption="Figure 2: Combination of two materials" >}} Several materials can be combined: {{< figure src="/ox-hugo/temperature_termocouples_sensitivities.png" caption="Figure 3: Some types of thermocouples and associated sensitivities" >}} #### Measurement of the temperature {#measurement-of-the-temperature} The output voltage of a thermocouple is given by \\(\Delta T\\) (between \\(T\_1\\), the temperature at the measured voltage side, and \\(T\_2\\) at the thermocouple side). Therefore, typically \\(T\_1\\) is measured with an RTD (typically what is done inside the Agilent 34970A) and \\(T\_2\\) is therefore estimated from \\(T\_1\\) and \\(\Delta T\\). {{< figure src="/ox-hugo/temperature_thermocouple_meas.png" caption="Figure 4: Thermocouple measured voltage" >}} #### Choice of Thermocouple {#choice-of-thermocouple} - J - Iron / Constantan - \\(55\ \mu V / K\\) - Easy to solder - Can act as galvanic element - K - Chromel / Alumel - \\(40\ \mu V / K\\), almost linear - Difficult to solver, welding is better - Low thermal conductivity of wires - T - Copper / Constantan - \\(40\ \mu V / K\\) - Easy to solder - High thermal conductivity is source of errors #### Summary {#summary} Advantages: - Simple to use - Standard acquisition systems - Small (thin wires down to 0.08mm) - Fast response - Suitable for high and low temperatures - Can be used in vacuum systems - No self heating Disadvantages: - Relative expensive - Uncertainty about 0.1K, not feasible to reach mK ### RTD {#rtd} Sensitivity of PT100 is typically around . Advantages: - Very high stability (better than 1mK per year) - Very high linearity (0.1% over -40 to 125 degrees) - This makes them very useful as calibration reference sensor, which is linked to the international standard Disadvantages: - Expensive - Low sensitivity (typically 0.004 Ohm/Ohm/deg) - The measurement is sensitivity to lead wire resistance, but four-wire technique may be used - Self heating due to electrical dissipation. Typically, for a Pt100, \\(P = 0.1 mW\\) (the source voltage is typically 0.1 V) This corresponds to approximately 0.1 degree of self heating in "still" air ### Thermistor {#thermistor} Sensitivity of NTC is . Advantages: - Highest sensitivity (typically around -0.05 Ohm/Ohm/deg) - Because the resistance is typically high (100k Ohm), no Four wire configuration is necessary, and long wires may be used - Lower heat dissipation than Pt100 - Very high stability, especially for glass encapsulated - Very small, and available in all kinds of shapes Disadvantages: - Non-linear, so compensation is necessary (but not really an issue with software compensation) - Self-heating if mK accuracy is wanted - Cover is necessary for use in vacuum ### Comparison of sensor types {#comparison-of-sensor-types} | | RTD | Thermistor | Thermocouple | | |---------------|-------------------------|------------|--------------|---| | Accuracy | Good | Non-Linear | | A | | Linearity | 0.1% over -40..125 degC | | | | | Stability | better than 1mK/year | | | | | Sensitivity | 0.4%/K | 5%/K | 50uV/K | | | Response time | | | | | | Self heating | | | None | | ## Accuracy of Temperature measurement {#accuracy-of-temperature-measurement} ### Accuracy of the resistance measurement {#accuracy-of-the-resistance-measurement} #### Resistor measurement principle and associated errors {#resistor-measurement-principle-and-associated-errors} Measurement is typically performed using a [wheatstone bridge]({{< relref "wheatstone_bridge.md" >}}), and the accuracy depends on: - the quality of the ADC measuring the voltage in the bridge - the values of the resistors in the bridge For measuring ranges from \\(200\\,\Omega\\) to \\(5\\,k\Omega\\), the measurement accuracy can be in the order of +/-50ppm to +/-100ppm (here based on the [ELM3704](https://www.beckhoff.com/en-en/products/i-o/ethercat-terminals/elmxxxx-measurement-technology/elm3704-0001.html)). For a Pt100 at \\(0^oC\\), this corresponds to an accuracy of \\(< \pm 0.04\\,K\\). #### 2, 3 and 4 wires sensors {#2-3-and-4-wires-sensors} The measured resistance is the sum of the resistance of the sensitive element and the resistance of the wires. This corresponds to the 2-wire measurement ([Figure 5](#figure--fig:temperature-sensor-rtd-2-wires)). The errors associated with this effect are large when the resistance of the sensitive element is small and then the resistance of all cables and connectors are large. For instance, the effect of contact/wire resistance less important for the PT1000 than for the PT100. The use of 2 wire PT1000 is possible (whereas for PT100, 4 wire is more accurate). {{< figure src="/ox-hugo/temperature_sensor_rtd_2_wires.png" caption="Figure 5: 2-wire measurement" >}} The effect of the resistance of the wires (cables, connectors, etc..) can be mitigated by using the 4-wire configuration ([Figure 6](#figure--fig:temperature-sensor-rtd-4-wires)). {{< figure src="/ox-hugo/temperature_sensor_rtd_4_wires.png" caption="Figure 6: 4-wire measurement" >}} ### Temperature {#temperature} #### Effect of conductivity through the wires {#effect-of-conductivity-through-the-wires} It is better to use thin wires, of the fix the wires to the part that is to be measured. {{< figure src="/ox-hugo/temperature_effect_wires.png" caption="Figure 7: Measured effect of wires. When in \"air\", it conducts the heat from the air to the sensor which can lead to measurement errors." >}} #### Thermal contact and response time {#thermal-contact-and-response-time} The measured temperature is the temperature of the sensitive element. It may not be equal to the temperature of the element on which the sensor is fixed. It depends on the thermal contact and the response time in play. The sensor contact may be improved by using "soft" (i.e. plastically deformable) metals at the contact interface such as indium. However, it seems that having too much pressure in the sensor may induce stress in the NTC that can induce measurement errors. #### Self heating effect {#self-heating-effect} (Ebrahimi-Darkhaneh 2019) In order to measure the resistance, some current through the resistance. This leads to heat generation (known as "self heating") according to "Joule effect": \\[ P = I V = V^2/R \\] Typically, a constant voltage is applied, such that the generated current is lower when the resistance is larger.
The applied voltage is typically in the order of 0.1V to 1V. For a Pt100 (\\(R \approx 100\\,\Omega\\)), this would lead a heat generation of \\(P \approx 1 \text{ to } 10\\,mW\\). For a NTC with \\(R\approx 10\\,k\Omega\\), the heat generation will me much lower \\(P\approx 10 \text{ to } 100\\,\mu W\\).
In order to lower the self heating effect, _intermitted_ currents may be used as is the case with the Agilent 34970A. ### Converting Resistance to Temperature {#converting-resistance-to-temperature} #### First order approximation {#first-order-approximation} \\[ \Delta R = k \cdot \Delta T \\] #### Beta formula {#beta-formula} \\[ R(T) = R(T\_0) \cdot e^{\beta(\frac{1}{T} - \frac{1}{T\_0})} \\] #### Steinhart-Hart equation {#steinhart-hart-equation} \\[ T = \frac{1}{A + B \cdot \ln( R) + C \cdot (\ln( R))^3} \\] #### Lookup table {#lookup-table} Manufacturers usually provides a lookup table that links the resistance and the temperature. ## Typical Temperature/Resistance graphs {#typical-temperature-resistance-graphs} ### PT100 {#pt100} A PT100 resistance is quite linear with respect to the temperature as shown in [Figure 8](#figure--fig:temperature-sensor-pt100-resistance). {{< figure src="/ox-hugo/temperature_sensor_pt100_resistance.png" caption="Figure 8: Resistance of a PT100 as a function of the temperature" >}} The coefficient of resistance \\(\alpha\\) is defined as the ratio of the rate of change of resistance with temperature to the resistance of the thermistor at a specified temperature: \\[ \alpha(T) = \frac{1}{R(T)}\frac{dR(T)}{dT} \\] For a PT100, it is displayed in [Figure 9](#figure--fig:temperature-sensor-pt100-sensitivity). At \\(0^oC\\), \\(\alpha(0^oC) \approx 0.004\\,\Omega/\Omega/{}^oC\\). {{< figure src="/ox-hugo/temperature_sensor_pt100_sensitivity.png" caption="Figure 9: Sensitivity of a PT100 as a function of the temperature" >}} ### NTC {#ntc} A NTC is much more non-linear than a PT100 as shown in [Figure 10](#figure--fig:temperature-sensor-rtd-resistance). The NTC used here is "Type F" from Amphenol Thermometrics. ```matlab T_rtd = [-50:5:150]; R_rtd = 1e4*[68.60 48.16 34.23 24.62 17.91 13.17 9.782 7.339 5.558 4.247 3.274 2.544 1.992 1.572 1.250 1.000 0.8056 0.6530 0.5326 0.4369 0.3604 0.2989 0.2491 0.2087 0.1756 0.1485 0.1261 0.1075 0.09209 0.07916 0.06831 0.05916 0.05141 0.04483 0.03922 0.03442 0.03030 0.02675 0.02369 0.02103 0.01872]; ``` {{< figure src="/ox-hugo/temperature_sensor_rtd_resistance.png" caption="Figure 10: Resistance of a RTD as a function of the temperature" >}} The huge advantage of RTD compared to PT100 is that the sensitivity is much larger than Pt100 as shown in [Figure 11](#figure--fig:temperature-sensor-rtd-sensitivity). {{< figure src="/ox-hugo/temperature_sensor_rtd_sensitivity.png" caption="Figure 11: Sensitivity of a RTD as a function of the temperature" >}} ## Compute temperature from the measured resistance {#compute-temperature-from-the-measured-resistance} ### Pt100 and Pt1000 {#pt100-and-pt1000} The resistance as a function of temperature is approximated by the Callendar–Van Dusen equation: \\[ R(T) = \begin{cases} R\_0 (1 + A \cdot T + B \cdot T^2), & \text{for } T>0^oC \\\\ R\_0 (1 + A\cdot T + B \cdot T^2 + C \cdot (T - 100) \cdot T^3), & \text{for } T<0^oC \end{cases} \\] with \\(R\_0\\) the resistance value at 0 degrees (\\(100\\,\Omega\\) for a Pt100 and \\(1000\\,\Omega\\) for a Pt1000). Values for A, B, C and D are depending on the exact model (summarized in [Table 1](#table--tab:pt100-values)).
Table 1: Values of the Callendar-Van Dusen equations
| TCR | A | B | C | |------------|----------------------------|------------------------------|------------------------------| | 3850 ppm/K | \\(3.9083 \cdot 10^{-3}\\) | \\(-5.775 \cdot 10^{-7}\\) | \\(-4.183 \cdot 10^{-12}\\) | | 3911 ppm/K | \\(3.9692 \cdot 10^{-3}\\) | \\(-5.829 \cdot 10^{-7}\\) | \\(-4.3303 \cdot 10^{-12}\\) | | 3750 ppm/K | \\(3.8102 \cdot 10^{-3}\\) | \\(-6.01888 \cdot 10^{-7}\\) | \\(-6 \cdot 10^{-12}\\) | | 3770 ppm/K | \\(3.8285 \cdot 10^{-3}\\) | \\(-5.85 \cdot 10^{-7}\\) | | ```matlab %% Pt100 (3850 ppm/K) R0 = 100; % [Ohm] A = 3.9083e-3; % [degC^-1] B = -5.775e-7; % [degC^-2] C = -4.183e-12; % [degC^-4] T1 = -200:0; % [degC] T2 = 0:850; % [degC] T = [T1,T2]; % [degC] R = [R0*(1 + A*T1 + B*T1.^2 + C*(T1-100).*T1.^3), R0*(1 + A*T2 + B*T2.^2)]; % [Ohm] ``` {{< figure src="/ox-hugo/temperature_sensor_pt100_curve.png" caption="Figure 12: Resistance as a function of the temperature for a Pt100" >}} For temperatures above 0 degrees, the temperature \\(T\\) can be easily computed from the measured resistance \\(R\\) using: \\[ T = \frac{-A + \sqrt{A^2 - 4 B ( 1 - R/R\_0 )}}{2 B} \\] For temperatures below 0 degrees, the equation is harder to solve analytically, and a lookup table is more appropriate. Let's compare the temperature given by a Loopup table and the temperature given by the analytical formula in two cases: - linear interpolation with one point every degree - cubic interpolation with one point every 10 degrees The error is less than 0.1mK over the full range, validating the use of a lookup table to convert the resistance to temperature ([Figure 14](#figure--fig:temperature-sensor-lut-errors)). ### NTC thermistor {#ntc-thermistor} The resistance of the NTC thermistor as a function of the temperature can be well approximated with the following equation: \\[ R\_t = R\_{25} \cdot e^{A + B/T + C/T^2 + D/T^3 \\] where \\(T\\) is the temperature in kelvins, \\(R\_{25}\\) the nominal resistance at \\(25^oC\\), \\(A\\), \\(B\\), \\(C\\) and \\(D\\) are coefficients which are specific for a given thermistor. Typically, coefficients A, B, C and D are varying with temperature as shown in [Table 2](#table--tab:temperature-sensor-ntc-coefs).
Table 2: Example of A, B, C and D coeficients for an NTC thermistor (DC95F202VN)
| | A | B | C | D | |------------|----------------|---------------|----------------|----------------| | -50 to 0 | -1.4122478E+01 | 4.4136033E+03 | -2.9034189E+04 | -9.3875035E+06 | | 0 to 50 | -1.4141963E+01 | 4.4307830E+03 | -3.4078983E+04 | -8.8941929E+06 | | 50 to 100 | -1.4202172E+01 | 4.4975256E+03 | -5.8421357E+04 | -5.9658796E+06 | | 100 to 150 | -1.6154078E+01 | 6.8483992E+03 | -1.0004049E+06 | 1.1961431E+08 | ```matlab %% Compute the resistance as a function of the temperature for a given NTC (DC95F202VN) R0 = 2e3; % Resistance at 25deg T1 = 273.15+[-50:0]; % [degK] T2 = 273.15+[1:50]; % [degK] T3 = 273.15+[51:100]; % [degK] T4 = 273.15+[101:150]; % [degK] R = R0*exp([[-1.4122478E+01 + 4.4136033E+03./T1 - 2.9034189E+04./T1.^2 - 9.3875035E+06./T1.^3]'; [-1.4141963E+01 + 4.4307830E+03./T2 - 3.4078983E+04./T2.^2 - 8.8941929E+06./T2.^3]'; [-1.4202172E+01 + 4.4975256E+03./T3 - 5.8421357E+04./T3.^2 - 5.9658796E+06./T3.^3]'; [-1.6154078E+01 + 6.8483992E+03./T4 - 1.0004049E+06./T4.^2 + 1.1961431E+08./T4.^3]'])'; % [Ohm] T = -273.15+[T1,T2,T3,T4]; % [degC] ``` {{< figure src="/ox-hugo/temperature_sensor_ntc_curve.png" caption="Figure 13: Resistance as a function of the temperature for a given NTC" >}} To calculate the actual thermistor temperature as a function of the measured thermistor resistance, use the following equation: \\[ T = \frac{1}{a + b \ln(R\_t/R\_{25}) + c (Ln Rt/R25)^2 + d (Ln Rt/R25)^3) \\]
Table 3: Coefficients used to compute the temperature as a function of the resistance
| Rt/R25 range | a | b | c | d | |--------------------|---------------|---------------|----------------|----------------| | 68.600 to 3.274 | 3.3538646E-03 | 2.5654090E-04 | 1.9243889E-06 | 1.0969244E-07 | | 3.274 to 0.36036 | 3.3540154E-03 | 2.5627725E-04 | 2.0829210E-06 | 7.3003206E-08 | | 0.36036 to 0.06831 | 3.3539264E-03 | 2.5609446E-04 | 1.9621987E-06 | 4.6045930E-08 | | 0.06831 to 0.01872 | 3.3368620E-03 | 2.4057263E-04 | -2.6687093E-06 | -4.0719355E-07 | ### Approximation of formulas using lookup tables {#approximation-of-formulas-using-lookup-tables} First, let's compare the analytical formula with a LUT for a Pt100 ([Figure 14](#figure--fig:temperature-sensor-lut-errors)). The error (accuracy) is bellow 0.1mK for relatively small LUT. ```matlab %% "Perfect" temperature and resistance R0 = 100; % [Ohm] A = 3.9083e-3; % [degC^-1] B = -5.775e-7; % [degC^-2] C = -4.183e-12; % [degC^-4] T1 = -200:0.1:0; % [degC] T2 = 0.1:0.1:850; % [degC] T_true = [T1,T2]; % [degC] R_true = [R0*(1 + A*T1 + B*T1.^2 + C*(T1-100).*T1.^3), R0*(1 + A*T2 + B*T2.^2)]; % [Ohm] %% Lookup table for Pt100 (3850 ppm/K) - Linear dT = 1; interp_method = 'linear'; T1 = -200:dT:0; % [degC] T2 = dT:dT:850; % [degC] T_lut_linear = [T1,T2]; % [degC] R_lut_linear = [R0*(1 + A*T1 + B*T1.^2 + C*(T1-100).*T1.^3), R0*(1 + A*T2 + B*T2.^2)]; % [Ohm] T_meas_linear = interp1(R_lut_linear,T_lut_linear,R_true,interp_method); % interpolate the resistance using the LUT to find the corresponding temperature %% Lookup table for Pt100 (3850 ppm/K) - Makima dT = 10; interp_method = 'makima'; T1 = -200:dT:0; % [degC] T2 = dT:dT:850; % [degC] T_lut_makima = [T1,T2]; % [degC] R_lut_makima = [R0*(1 + A*T1 + B*T1.^2 + C*(T1-100).*T1.^3), R0*(1 + A*T2 + B*T2.^2)]; % [Ohm] T_meas_makima = interp1(R_lut_makima,T_lut_makima,R_true,interp_method); % interpolate the resistance using the LUT to find the corresponding temperature ``` {{< figure src="/ox-hugo/temperature_sensor_lut_errors.png" caption="Figure 14: Interpolation errors in two cases when using a LUT for a Pt100" >}} NTC thermistors are more non-linear and therefore require finer LUT to have low accuracy errors. In order to have less than 0.1mK of accuracy, a LUT with linear interpolation requires approximately one point every 0.1 degree ([Figure 15](#figure--fig:temperature-sensor-lut-errors-ntc)). ```matlab %% "Perfect" temperature and resistance of NTC (DC95F202VN) R0 = 2e3; % Resistance at 25deg dT_true = 0.01; T1 = 273.15+[-50:dT_true:0]; % [degK] T2 = 273.15+[0+dT_true:dT_true:50]; % [degK] T3 = 273.15+[50+dT_true:dT_true:100]; % [degK] T4 = 273.15+[100+dT_true:dT_true:150]; % [degK] R_true = R0*exp([[-1.4122478E+01 + 4.4136033E+03./T1 - 2.9034189E+04./T1.^2 - 9.3875035E+06./T1.^3]'; [-1.4141963E+01 + 4.4307830E+03./T2 - 3.4078983E+04./T2.^2 - 8.8941929E+06./T2.^3]'; [-1.4202172E+01 + 4.4975256E+03./T3 - 5.8421357E+04./T3.^2 - 5.9658796E+06./T3.^3]'; [-1.6154078E+01 + 6.8483992E+03./T4 - 1.0004049E+06./T4.^2 + 1.1961431E+08./T4.^3]'])'; % [Ohm] T_true = -273.15+[T1,T2,T3,T4]; % [degC] %% Lookup table for NTC (DC95F202VN) - Linear dT = 0.1; interp_method = 'linear'; T1 = 273.15+[-50:dT:0]; % [degK] T2 = 273.15+[0+dT:dT:50]; % [degK] T3 = 273.15+[50+dT:dT:100]; % [degK] T4 = 273.15+[100+dT:dT:150]; % [degK] T_lut_linear = -273.15+[T1,T2,T3,T4]; % [degC] R_lut_linear = R0*exp([[-1.4122478E+01 + 4.4136033E+03./T1 - 2.9034189E+04./T1.^2 - 9.3875035E+06./T1.^3]'; [-1.4141963E+01 + 4.4307830E+03./T2 - 3.4078983E+04./T2.^2 - 8.8941929E+06./T2.^3]'; [-1.4202172E+01 + 4.4975256E+03./T3 - 5.8421357E+04./T3.^2 - 5.9658796E+06./T3.^3]'; [-1.6154078E+01 + 6.8483992E+03./T4 - 1.0004049E+06./T4.^2 + 1.1961431E+08./T4.^3]'])'; % [Ohm] T_meas_linear = interp1(R_lut_linear,T_lut_linear,R_true,interp_method); % interpolate the resistance using the LUT to find the corresponding temperature %% Lookup table for Pt100 (3850 ppm/K) - Makima dT = 1; interp_method = 'makima'; T1 = 273.15+[-50:dT:0]; % [degK] T2 = 273.15+[0+dT:dT:50]; % [degK] T3 = 273.15+[50+dT:dT:100]; % [degK] T4 = 273.15+[100+dT:dT:150]; % [degK] T_lut_makima = -273.15+[T1,T2,T3,T4]; % [degC] R_lut_makima = R0*exp([[-1.4122478E+01 + 4.4136033E+03./T1 - 2.9034189E+04./T1.^2 - 9.3875035E+06./T1.^3]'; [-1.4141963E+01 + 4.4307830E+03./T2 - 3.4078983E+04./T2.^2 - 8.8941929E+06./T2.^3]'; [-1.4202172E+01 + 4.4975256E+03./T3 - 5.8421357E+04./T3.^2 - 5.9658796E+06./T3.^3]'; [-1.6154078E+01 + 6.8483992E+03./T4 - 1.0004049E+06./T4.^2 + 1.1961431E+08./T4.^3]'])'; % [Ohm] T_meas_makima = interp1(R_lut_makima,T_lut_makima,R_true,interp_method); % interpolate the resistance using the LUT to find the corresponding temperature ``` {{< figure src="/ox-hugo/temperature_sensor_lut_errors_ntc.png" caption="Figure 15: Interpolation errors in two cases when using a LUT for a NTC" >}} ## Commercial Temperature Sensors {#commercial-temperature-sensors} ### 20 degC {#20-degc} ### 20 degC, Vacuum compatible {#20-degc-vacuum-compatible} From (Neto et al. 2022), UHV compatible: > **Ceramic Amphenol DC95F202WN negative temperature coefficient (NTC)** sensors were used above 270 K, usually at room temperature components equal to 297 K. > The part-though-hole (PTH) sensors were soldered to thin, 30 AWG, varnish insulated copper wires with small amounts of tin-lead (70/30) alloy. ### Cryogenic temperatures (77K / -200degC) {#cryogenic-temperatures--77k-200degc} - - From (Neto et al. 2022) > The temperature sensors also had design iteration since the beginning of the commissioning of the first cryogenic beamline instrumentation.Initially, **10k Ohm (0°C nominal) Platinum thin-film RTD sensors from IST (P10K.520.6W.B.010.D)** were used for parts in operating temperature below 123 K, whereas ceramic Amphenol DC95F202WN negative temperature coefficient (NTC) sensors were used above 270 K, usually at room temperature components equal to 297 K. The part-though-hole (PTH) sensors were soldered to thin, 30 AWG, varnish insulated copper wires with small amounts of tin-lead (70/30) alloy. > The set was then encapsulated with the same Stycast resin into small aluminium cases for thermal conductivity and mounting features. > > [...] > > Furthermore, the thin platinum wire of the 10 kΩ RTDs presented bad solderability and its assembly process was too laborious, resulting in unreliable mechanical bonds and a failure rate beyond acceptable for a robust beamline instrumentation. > The alternative was to use **2 kΩ IST RTDs (P2K0.232.3FW.B.007)** with custom-made flat gold-platted terminals, resulting in a full range sensor with better solderability and temperature **resolution below 0.4 mK** over the entire measurable range **NTC, Amphenol DC95F**, measured with an Agilent 34970A at 10K: - leads to 0.2mK resolution (22 bits) - High interchangeability: offset of 0.01K and sensitivity of 3mK/K {{< figure src="/ox-hugo/temperature_ntc_dc95f_results.png" caption="Figure 16: 6 (un-calibrated) DC95F sensors fixed to the same mass with homogeneous temperature" >}} **NTC, Betatherm 10K3A1**, measured at 10K: - Resolution of 0.2mK - Low noise and high repeatability {{< figure src="/ox-hugo/temperature_betatherm_10K3A1_results.png" caption="Figure 17: Measured temperature of two BetaTherm 10K3A1 compared to a reference sensor, at 10K" >}} ## Bibliography {#bibliography}
Ebrahimi-Darkhaneh, Hadi. 2019. “Measurement Error Caused by Self-Heating in Ntc and Ptc Thermistors.” Tex. Instrum. Analog. Des. J. Q 3: 001–7.
Neto, Joao Brito, Renan Geraldes, Francesco Lena, Marcelo Moraes, Antonio Piccino Neto, Marlon Saveri Silva, and Lucas Volpe. 2022. “Temperature Control for Beamline Precision Systems of Sirius/Lnls.” Proceedings of the 18th International Conference on Accelerator and Large Experimental Physics Control Systems ICALEPCS2021: China. doi:10.18429/JACOW-ICALEPCS2021-WEPV001.