1 Introduction

In the development of modern propulsion and combustion systems, information of the temperature, density, pressure, mass flux, gas species concentration, and velocity during the combustion process is needed to facilitate design advancements, improve efficiency, and reduce pollutant emissions [1]. New diagnostic techniques that can provide fast, sensitive, non-intrusive, and reliable measurements are hence required for in situ monitoring of multiple flow-field parameters during combustion. A remarkable optical spectroscopy technique, tunable diode laser (TDL) absorption spectroscopy (TDLAS), has been actively researched over the past two decades and has been used successfully in many fields, such as environmental monitoring [2, 3], industrial process control [4, 5], and biomedical sensing [6, 7]. The use of tunable diode lasers is attractive since they are compact, robust, and capable of fast tuning. TDLAS has also been used for combustion applications. Many sensors based on TDLAS have been used successfully to provide in situ, time-resolved, line-of-sight measurements of multiple flow-field parameters such as temperature, concentration, pressure, density, mass flux, and velocity in various combustion environments [812].

It is well known that carbon dioxide (CO2) is the most important greenhouse gas and its main anthropomorphic source is the combustion of hydrocarbon fuel. Because it is one of the primary combustion products of hydrocarbon-fueled systems and otherwise occurs at very low levels in the ambient atmosphere, CO2 is an attractive target gas to monitor in hydrocarbon-fueled systems as its concentration can be directly interpreted as an indicator of combustion efficiency. Hence, detection of CO2 is crucial to environmental and energy utilization. Likewise temperature, as a fundamental parameter of combustion systems, determines the overall thermal efficiency. Simultaneous measurements of CO2 concentration and temperature thus hold high potential for combustion diagnosis and control.

CO2 has a rich absorption spectrum throughout the infrared region as shown in Fig. 1, where the absorption line strengths of CO2 are plotted as a function of wavelength from 1 to 3 μm at a temperature of 1,000 K. Limited by the available telecommunication diode lasers and optical fiber technology in the 1.3- to 1.6-μm-wavelength region, previous absorption sensors for CO2 combustion diagnosis used the relatively weak combination bands near 1.55 μm (2ν 1 + 2ν 2 + ν 3) [1315]. Measurements near 1.55 μm suffer from the small absorption transition strengths. This disadvantage led to sensing systems with relatively low signal-to-noise ratios and poor detection limits. With the availability of continuous-wavelength (cw) room-temperature single-mode diode lasers extending the spectral region to 3.5 μm [16], the ν 1 + ν 3 and 2ν 2 + ν 3 bands near 2.7 μm have been used for monitoring CO2 during combustion [1720]. The CO2 transitions in this region are approximately 1,000 times stronger than the transitions near 1.55 μm, and sensors based on these bands can therefore offer greater sensitivity and potential in their system measurements. Unfortunately, the CO2 transitions in this region have substantial overlap with the strong transitions of H2O, which is the other primary combustion product of hydrocarbon fuel, as shown in Fig. 1. The CO2 band near 2.0 μm (ν 1 + 2ν 2 + ν 3) can offer a 50 times improvement in absorption strength over the bands near 1.55 μm, is distant from the strong H2O absorption lines, and remains accessible within telecommunications-grade, fiber-coupled diode laser spectral ranges. Indeed, there are some studies of CO2 combustion diagnosis using the transitions near 2.0 μm. For example, Webber et al. [21] developed an in situ CO2 diagnostic for combustion applications that was based on a distributed-feedback diode laser operating at 1.997 μm. Mihalcea et al. [22] measured the concentration of CO2 in high-temperature environments using an external cavity diode laser operating near 2.0 μm. Rieker et al. [23] measure the absorption spectra of the R46 through R54 transitions of the 20012 ← 00001 band of CO2 near 2.0 μm (5,000 cm−1) at pressures up to 10 atm. employing a TDL. However, all of these previous studies only measure the concentration of CO2 at high temperature or pressure rather than simultaneous measurements of temperature and CO2 concentration using the transitions near 2.0 μm.

Fig. 1
figure 1

Absorption line strengths of CO2 and H2O as a function of wavelength from 1 to 3 μm at a temperature of 1,000 K

The work described herein introduces a sensor for the measurement of gas temperature and CO2 concentration in a flame using diode lasers operating around 2.0 μm. To improve the detection sensitivity of the sensor and eliminate transmission variations of the laser due to beam steering, mechanical misalignments, soot, and window fouling, 1f-normalized wavelength modulation spectroscopy (WMS) with second-harmonic detection, termed 1f-WMS-2f, is used in the measurement. The absorption transitions of CO2 around 2.0 μm are analyzed to select the optimum line pair based on the HITRAN and HITEMP databases [24, 25]. A CO2 line pair at 5,006.140 and 5,010.725 cm−1 is selected for the TDL sensor using line-selection criteria established following design criteria previously reported in references [19] and [26]. The modulation depth for two different lasers used to access the selected CO2 line pair is optimized to maximize the WMS-2f signals and to simplify signal interpretation. The influence of variation of total pressure and CO2 concentration during the measurement is also evaluated. First, the TDL sensor for gas temperature and CO2 concentration measurement is validated in a heated cell containing well-controlled CO2–air mixtures. Then, measurements in a laboratory flame at atmospheric pressure are taken to demonstrate the potential of this sensor for use in combustion applications.

2 Theory

An accurate 1f-normalized WMS-2f model for absorption sensing at elevated temperatures was previously developed [5, 19, 2629]. A brief review of the method is presented here to define the notation and guide the discussion.

For wavelength modulation spectroscopy, the laser is modulated by sinusoidally varying an injection current at angular frequency ω = 2πf to produce laser frequency modulation (FM) and intensity modulation (IM):

$$\nu (t) = \bar{\nu } + a\cos (\omega t),$$
(1)
$$I_{0} (t) = \bar{I}_{0} [1 + i_{0} \cos (\omega t + \psi_{1} ) + i_{2} \cos (2\omega t + \psi_{2} )]$$
(2)

where ν(t) is the instantaneous optical frequency, I 0(t) is the laser emission intensity, and ψ 1 is the phase shift between the intensity and frequency modulation. The quantities \(\bar{\nu }\) and \(\bar{I}_{0}\) are the average optical frequency and intensity of the laser. The two modulation amplitudes a and i 0 are the maximum small-amplitude excursions of ν(t) and I 0(t) around \(\bar{\nu }\) and \(\bar{I}_{0}\), respectively. i 2 is the nonlinear IM amplitude with phase shift ψ 2.

When the laser beam travels through an absorbing medium with uniform distribution of temperature and concentration, the wavelength-dependent transmission τ is described by the Beer–Lambert law:

$$\tau (\nu ) = \left( {\frac{{I_{t} }}{{I_{0} }}} \right) = { \exp }\left[ {Px_{i} L\sum\limits_{j} {S_{j} (T)\phi_{j} } } \right],$$
(3)

where I t and I 0 are the transmitted and incident laser intensities, P [atm.] is the total pressure, x i is the mole fraction of the absorbing species i, S j [cm−2 atm.−1] is the line strength of the transition j, ϕ j [cm] is the line-shape function normalized such that ∫ϕ j (ν) ≡ 1, and T [K] is the gas temperature. For an isolated transition, τ is a periodic even function in ωt and can be expanded in a Fourier cosine series:

$$\tau [\bar{\nu } + a\cos (\omega t)] = \sum\limits_{k = 0}^{\infty } {H_{k} (\bar{\nu },a)\cos (k\omega t)} .$$
(4)

For weak transitions (Px i L j S j (T)ϕ j  ≤ 0.1), the components \(H_{k} (\bar{\nu },a)\) can be described as

$$H_{k} (\bar{\nu },a) = - \frac{{Px_{i} L}}{{(1 + \delta_{k0} )\pi }}\int_{ - \pi }^{\pi } {\sum\limits_{j} {S_{j} \phi_{j} (\bar{\nu } + a\cos \theta )\cos k\theta d\theta } } .$$
(5)

H k is directly proportional to the species concentration x i and path length L when the line-shape functions do not vary over the range of conditions found in the applications [27]. Note that in addition to the absorption parameters, H k also depends on the modulation depth a. This effect can be mitigated by choosing a proper modulation index m, which is defined as

$$m = \frac{a}{{\Delta \nu /2}} ,$$
(6)

where Δν is the full width at half maximum (FWHM) of the absorption line shape. For second-harmonic signal, the peak value occurs at m ~ 2.2.

The harmonics at the modulation frequency of the transmitted laser intensity are extracted by lock-in amplifiers with a bandwidth determined by a low-pass filter. The magnitude of the absorption-based WMS-2f and 1f signal can be described by a commonly used simple model, while the modulation depth is small [27]:

$$S{}_{2f}(\bar{\nu }) = \frac{{G\bar{I}_{0} }}{2}\left| {H_{2} - \frac{{i_{0} }}{2}(H_{1} + H_{3} )} \right|,$$
(7)
$$S{}_{1f}(\bar{\nu }) = \frac{{G\bar{I}_{0} }}{2}\left| {H_{1} - i_{0} (H_{0} + \frac{{H_{2} }}{2})} \right|,$$
(8)

where G is the optical–electrical gain of the detection system.

For an isolated transition acquired in an optically thin sample, it is well known that H 2 is maximal when H 1 and H 3 are zero at the line center. Hence, near the line center, the dominant term of the WMS-2f signal is the second Fourier component H 2, and the dominant term of the WMS-1f signal is H 0, which is close to unity. Thus, the magnitude of the absorption-based WMS-2f signal, \(S{}_{2f}(\bar{\nu })\) and \(S{}_{1f}(\bar{\nu })\), as can be measured by a lock-in amplifier, can be reduced as:

$$S{}_{2f}(\bar{\nu }) \approx \frac{{G\bar{I}_{0} }}{2}H_{2} (\bar{\nu }) = - \frac{{G\bar{I}_{0} }}{2} \cdot \frac{{PS(T)x_{i} L}}{\pi }\int_{ - \pi }^{\pi } {\phi (\bar{\nu } + a\cos \theta )\cos 2\theta d\theta } ,$$
(9)
$$S{}_{1f}(\bar{\nu }) \approx \frac{{G\bar{I}_{0} i_{0} }}{2},$$
(10)

where G is the optical–electrical gain of the detection system.

Because the second harmonics of the WMS-2f signal are proportional to the laser intensity and electro-optical gain, the WMS-1f signal can be used to normalize the second harmonics of the WMS signals:

$$C = \frac{{S_{2f} }}{{S_{1f} }} = \frac{1}{{i_{0} }}H_{2} (\bar{\nu }).$$
(11)

The 1f-normalized WMS-2f signal, C, is a only function of laser parameters (i 0a) and gas parameters (PTx i ). Comparison should be made directly between the WMS-2f simulations and measurements, eliminating the need for scaling between the two, as the laser parameters can be determined before the measurements [27].

Gas temperature can be obtained from the ratio of 1f-normalized WMS-2f signals at two selected wavelengths

$$R = \frac{{C_{2} }}{{C_{1} }} = \frac{{S_{2} (T)}}{{S_{1} (T)}}\frac{{\int_{ - \pi }^{ + \pi } {\phi (\bar{\nu }_{2} + a\cos \theta )\cos 2\theta d\theta } }}{{\int_{ - \pi }^{ + \pi } {\phi (\bar{\nu }_{1} + a\cos \theta )\cos 2\theta d\theta } }} = f(T),$$
(12)

which is closely related to the ratio of absorption line strengths. Hence, the gas temperature can be inferred by comparison of the measured ratio R with the simulation of the ratio as a function of temperature after the gas pressure is known. The species concentration can then be determined from either of the 1f-normalized WMS-2f signal magnitudes at the two selected transitions.

3 Sensor development

3.1 Transition selection

Sensor performance can be greatly improved by selecting the optimum transition. The transition selection procedure must consider the conditions where the sensor will be applied. These conditions may include the expected range of temperature, gas composition and pressure, path length. In this work, the sensor will be intended for demonstration in a heated static cell and on a burner that can produce a uniform flame with a diameter of 12 cm. The tuning temperature ranges are 500–1,000 and 850–1,350 K for the cell and burner, respectively, with pressures of ~1 atm. During the hydrocarbon fuel combustion, the CO2 concentration ranges from 5 to 25 % depending on the C/H ratio of the fuel.

Based on the information above, absorption spectra simulated using the HITRAN and HITEMP databases near 2.0 μm are computed and used to select a proper line pair of CO2. As the transition selection criteria for absorption-based thermometry have been discussed previously [17, 19, 26], here, we succinctly discuss some rules that are used to choose the optimal CO2 line pair for temperature and CO2 concentration measurements in atmospheric experiments.

3.1.1 Line strength of the transitions

To ensure the sensor has a high sensitivity, each transition should have a large line strength. Meanwhile, the “weak transition” assumption associated with wavelength modulation measurements requires that the peak absorption should be less than ~0.1. The value at different conditions can be calculated using the needed parameters listed in the HITRAN and HITEMP databases.

3.1.2 Isolation from interference of other absorptions

The selected transitions must be free from interference by neighboring CO2 and H2O transitions, so as to avoid inaccuracies in the measurement being introduced by the overlap of these different absorbances.

3.1.3 Relation between the ratio of WMS-2f signals and temperature

To obtain the gas temperature through the measurement of the ratio of WMS-2f signals, the relation between them must be monotonic over the measured range of temperatures. It can be seen from Eq. (5) that the ratio of WMS-2f signals is closely related to the ratio of the individual line strengths. This means that the line strength ratio also must be single valued with temperature over the expected range.

3.1.4 Sensitivity of the sensor

Here, the sensitivity is defined as the unit change in the normalized absorption strength ratio. The relation between the ratio and the change in the normalized temperature can be described as

$$\left| {\frac{\partial R/R}{\partial T/T}} \right| = \left( \frac{hc}{k} \right)\frac{{\left| {E_{1}^{''} - E_{2}^{''} } \right|}}{T},$$
(13)

where E″ is the lower state energy (cm−1) [5]. The relation indicates that a larger difference between the lower state energies yields an increase in sensitivity for the temperature measurement. For example, if the 2f peak heights can be determined within 1 %, to obtain a temperature accuracy of 3 % over the temperature range of 850–1,350 K, the constraint on minimum lower state energy difference could be given as follows, where the influence of line-shape function is neglected [28]:

$$\left| {\Delta E^{''} } \right| = \left| {E^{''}_{{_{1} }} - E^{''}_{{_{2} }} } \right| \ge \left| {\frac{{{{dR_{2f} } \mathord{\left/ {\vphantom {{dR_{2f} } R}} \right. \kern-0pt} R}}}{{{{dT} \mathord{\left/ {\vphantom {{dT} T}} \right. \kern-0pt} T}}}} \right| \times T \times \frac{k}{hc} = \frac{0.01\sqrt 2 }{0.03} \times 1,300 \times \frac{1}{1.4388} \approx 400\,{\text{cm}}^{ - 1} .$$
(14)

3.1.5 Line-shape functions of the selected transitions

As shown in Eq. (5), the ratio of the WMS-2f signals peak height also depends on the pressure and species concentration as an effect of the line-shape function. This dependency complicates the measurement and introduces uncertainty. Fortunately, these effects can be overcome by choosing two transitions with similar air-broadened half-widths, self-broadened half-widths, and temperature-dependent coefficients, which are important factors for line-shape function.

Ultimately, based on the above criteria, the two transitions at 5,006.140 and 5,010.725 cm−1 are chosen. Selected spectral parameters of the two transitions at different temperatures are listed in Table 1. Figure 2 shows the simulated CO2 2f signals for the selected line pair using these parameters for P = 1 atm., T = 1,000 K, L = 10 cm, and 10 % CO2, 10 % H2O in air. The simulated H2O signals are multiplied by a factor of 10 for clarity. The line strength and their ratio of the transition pair are plotted in Fig. 3. All the figures and table help validate the selection of the transition pair.

Table 1 Some spectral parameters of the two selected transitions at three different temperatures
Fig. 2
figure 2

Simulated CO2 2f signals for the selected line pair for P = 1 atm., T = 1,000 K, L = 10 cm, 10 % CO2, 10 % H2O in air. The H2O signals are multiplied by a factor of 10 for clarity

Fig. 3
figure 3

Line strength and their ratio of the selected transition pair as a function of temperature in the temperature range of 300–2,000 K

3.2 Modulation depth optimization

It can be seen from Eq. (5) that the magnitudes of the WMS harmonic signals also depend on the modulation depth a. Because the FWHM Δν of the absorption line shape changes as the temperature varies, the modulation depth a under the proper modulation index m (~2.2) is also varied, as seen in Eq. (6). If the modulation depth a is set as 1.1Δν at a certain temperature, the magnitude of the WMS-2f signal cannot be kept at a maximum over the target temperature range. This will influence the sensor performance. To mitigate this influence, an optimal modulation depth can be selected for the two lasers used for the sensor. The optimal modulation depth can be defined as a value at which the peak height of the WMS-2f signal remains relatively strong over the expected temperature range. The best way for selecting the optimal modulation depth is to simulate the 1f-normalized WMS-2f signal at the target gas conditions as a function of modulation depth.

The simulated normalized WMS-2f peak heights are plotted in Fig. 4a, b for the selected CO2 transitions near 5,006.140 and 5,010.725 cm−1 versus modulation depth at three temperatures (T = 500, 1,000, 1,300 K), with P = 1 atm., 10 % CO2 in air, and path length L = 10 cm. The functionality is due entirely to integral in Eq. (9) for \(S{}_{2f}(\bar{\nu })\). The simulation is based on a Voigt profile [30] with the spectral parameters listed in Table 1. As shown in Fig. 4a, the optimum modulation depth a decreases from ~0.11 to ~0.07 cm−1 as temperature increases from 500 to 1,300 K, reinforcing the statement that the optimum modulation depth a occurs where the modulation index m is around 2.2. Here, we selected a opt = 0.081 cm−1 as the optimum modulation depth for the CO2 transition at 5,006.140 cm−1 for all temperatures. With this optimum modulation depth, the WMS-2f peak height has a fairly large value and varies slowly over the target temperature range of 500–1,300 K. In the same way, an optimal modulation depth a opt = 0.078 cm−1 is selected for the other CO2 transition at 5,010.725 cm−1 for the range of expected conditions. By optimizing the modulation depth, the peak heights ratio of the WMS-2f signals will mainly depend on the line strengths of the selected CO2 transitions pair and the gas temperature can be inferred correctly. Here, the modulation depths are chosen for atmospheric measurement of temperature over a range of 850–1,350 K. Of course, the same procedure can also be used to optimize the modulation depth for conditions with different temperatures and pressures.

Fig. 4
figure 4

Simulated normalized WMS-2f peak heights versus modulation depth at three temperatures (T = 500, 1,000, 1,300 K), P = 1 atm., 10 % CO2 in air, and path length L = 10 cm. a and b are for the selected CO2 transitions near 5,006.140 and 5,010.725 cm−1, respectively

3.3 Evaluation of the influence of pressure and species concentration

Because the WMS-2f peak heights ratio is also a function of pressure and gas composition through their effect on the line-shape function as shown in Eq. (5), we evaluate here the influence of pressure and species concentration on the temperature measurement. Figure 5a, b illustrates the simulated WMS-2f peak heights ratio of the selected transition pair (5,006.140/5,010.725 cm−1) as a function of total gas pressure and CO2 concentration at six different temperatures with the selected optimal modulation depths. The relation of the WMS-2f peak heights ratio and the total gas pressure is plotted for a 10 % CO2–air mixture over the pressure range of 0.8–1.2 atm. in Fig. 5a. A 40 % change in the total gas pressure only introduces a maximum change of 1.23 % in the WMS-2f peak heights ratio at the six selected temperatures. The relation of the WMS-2f peak heights ratio and the CO2 concentration is plotted for P = 1 atm. for a CO2 concentration range of 5 to 25 % in Fig. 5b. It can be seen from the figure that a fivefold change in CO2 concentration only produces a maximum change of 1.07 % in the WMS-2f peak heights ratio. These results indicate that the WMS-2f peak heights ratio is a strong function of the ratio of line strengths and is only weakly related to total gas pressure and CO2 concentration. Hence, an accurate gas temperature can be inferred from a reliable 1f-WMS-2f peak heights ratio in combustion diagnosis.

Fig. 5
figure 5

Simulated 2f peak height ratios of the selected transition pair (5,006.140/5,010.725 cm−1) as a function of total pressure (a \(X_{{{\text{CO}}_{2} }} = 10\,\%\)) and CO2 concentration (b P = 1 atm.), respectively

4 Measurement validation in a static cell

To validate the TDL sensor, the measurements of gas temperature and CO2 concentration are first taken in a heated static cell before being used in combustion applications. The static cell can provide a quiet, transient-free environment with well-controlled pressure, species concentration, and gas temperature. Thus, the measurement in a static cell is a useful way to confirm the accuracy and reliability of the sensor.

4.1 Experimental setup

The experimental arrangement used for the simultaneous measurement of gas temperature and CO2 concentration in a heated static cell is illustrated in Fig. 6. The heated static cell is made of stainless steel with a length of 30 cm and an inner diameter of 1.5 cm. Two sapphire windows with 1-cm open aperture are tapered in both ends to ensure the transmission of the light at 2 µm. The surfaces of the window through which the beam passes have a 1.2° wedge to avoid residual etalon fringes. The temperature of the static cell is controlled by a temperature controller (type SKW) which can supply a temperature as high as 1,000 K. Four K-type thermocouples with accuracies of ±1 % and precision of 0.1 K are equally spaced within and attached to the absorption cell to monitor the temperature of the gas in the static cell. In the experiment, the permitted maximum temperature difference along the path length is no more than 5 K. The tested CO2–air mixtures are prepared using CO2 gas with 99.99 % purity, mixed with ambient outdoor air in a stainless steel tank, and delivered into the cell via copper tubing. The ~390-ppm CO2 contained in the air is considered in the preparation of the mixtures. A vacuum system is connected with the cell and the stainless steel tank via a stainless steel manifold. Pressure is determined with a vacuum pressure gauge with an accuracy of ±1 % of reading. Before each measurement, the gas sample was allowed to thermally stabilize.

Fig. 6
figure 6

Scheme of the experimental setup

Two identical commercial cw, thermoelectrically cooled, extended-wavelength distributed-feedback (DFB) tunable diode lasers operating near 2 μm are used in the experiment. The laser power is about 2 mW, and the typical linewidth is ~2 MHz. Frequency turning of the diode laser can be controlled by scanning either the temperature (~0.63 cm−1/°C) or the current (~0.03 cm−1/mA). Here, the two lasers used for the absorption measurement at 5,006.14 and 5,010.725 cm−1 are referred to as laser 1 and laser 2, respectively. The two DFB lasers are placed in commercial laser mounts (ILX Lightwave LDM-4980) and driven with modular diode laser controllers (ILX Lightwave LDC-3724). The wavelengths of the lasers are monitored by a free-space mid-IR wavelength meter (Bristol 621). To perform spectrometric measurements, the wavelengths of the DFB diode lasers are driven by a 0.7-kHz triangle ramp summed in an adder with a 49-kHz sine wave to provide the wavelength modulation. After collimation, the TDL beams are collimated by lenses and sent through the static cell. The transmitted laser beams exiting the heated cell are focused onto two identical room-temperature extended-InGaAs detectors (Thorlabs, PDA10DT-EC). The beam paths are purged by high-purity nitrogen so as to avoid interference from ambient CO2. The detector signals are sent into digital lock-in amplifiers to demodulate the needed 2f and 1f data with the same time constant of 10 μs for each laser. Both signals are sampled by a multifunction data acquisition (DAQ) card (ADLINK DAQ2010) in a desktop PC. A LabView program is used for data acquisition and analysis. Once the acquisition is completed, the signal-processing program transfers the captured data from on-board memory to the PC. Data analysis, including peak finding and ratio calculation, is then performed on the accumulated data.

4.2 Results

A set of static heated cell experiments with well-controlled CO2–air mixtures and temperatures is performed to confirm the sensor accuracy and reliability for the temperature and CO2 concentration inferred from the 1f-normalized WMS-2f signals. All static heated cell experiments are performed at atmospheric pressure and in the temperature range of 500–1,000 K with a step of 50 K. Figure 7 shows the representative 1f and 2f signals obtained at 1,000 K with ~6.3 % CO2 in air for the selected line pair. By normalizing the 2f signal with the 1f signal magnitude, common terms such as laser intensity, lock-in gain, laser transmission variation, and signal amplification can be eliminated.

Fig. 7
figure 7

Representative 1f and 2f signals obtained in the static cell at 1,000 K with ~6.3 % CO2 in air for the selected line pair

The top graph in Fig. 8 is a comparison between the temperatures from the 1f-normalized WMS-2f sensor thermometry and the averages of the four thermocouple readings. The temperatures determined from the TDL sensor agree well with the thermocouple readings in the tested temperature range of 500–1,000 K. Correlation of those measured points has a square of the correlation coefficient R 2 = 0.997, and the average standard deviation is 1.21 %. The error bars are also shown in the graph. The linear-fitted slope is 1.029 ± 0.018, and the average bias between the measured values and the readings (σ T  = |P TDLP TCR|) is ~9 K.

Fig. 8
figure 8

Comparison between the temperatures from the 1f-normalized WMS-2f sensor thermometry and the averages of the four thermocouple readings (top graph); ratio of the CO2 concentrations measured by the TDL sensor (x Measured) and the concentrations recorded when the mixtures were prepared (x Referenced) (bottom graph)

The bottom panel of Fig. 8 shows the ratio of the CO2 concentrations measured by the TDL sensor (x Measured) and the concentrations recorded when the mixtures were prepared (x Referenced). The CO2 concentrations are measured using the CO2 transition at 5,006.140 cm−1 due to its stronger line strength over the other selected transition. Three measurements are taken for the CO2–air mixture at each set temperature. The x Measured is inferred from the average of the three measurements. The standard deviation between the measured and reference values is 2.98 % for the measurements of CO2 concentrations.

Errors in the temperature and concentration measurements primarily arise from uncertainties in the temperatures measured by the thermocouple, analysis of the measured spectroscopic data, and the referenced CO2 concentrations recorded during the preparation of the mixtures (especially for the low concentrations). The excellent agreement between the measured and reference values confirms the accuracy of the TDL sensor for the measurement of temperature and CO2 concentration employing the peak heights of the 1f-normalized WMS-2f signals.

5 Demonstration on a burner

Measurements are also taken on a burner to illustrate the potential of the 1f-normalized WMS-2f sensor for monitoring the gas temperature and CO2 concentration in combustion gases. A burner that can produce an array of short diffusion flames served as the combustion test facility. The uniform flame on the burner has a circular shape with a diameter of 12 cm and a height of 2 cm. The 2.0-μm extended-wavelength TDL sensor is driven by an external modulator, which consists of a 0.7-kHz triangle ramp combined with a faster 49-kHz sinusoidal signal. The two laser beams pass through the flame along its radial direction to probe the burned gases 1 cm above the burner. To avoid interference from ambient CO2, the beam paths are also purged by high-purity nitrogen. The 1f and 2f components of the transmitted laser signals are obtained by digital lock-in amplifiers with the same time constant of 10 μs. During the measurement, a thermocouple is traversed forward and back to confirm stability of the flame temperature using a sliding guide. The readings of the thermocouple are also used to compare with the temperature obtained by the TDL sensor. The combustion flow field studied here should be sufficient to assume as an approximate uniform temperature distribution in reducing the data.

Figure 9 shows the comparison between the temperatures from the TDL sensor and the thermocouple readings measured in the combustion gases. They are also in good agreement over the tuning temperature range of 850–1,350 K. Correlation of those measured points has a square of the correlation coefficient R 2 = 0.995, and the average standard deviation is 1.38 %. Error bars are also shown in the graph. The linear-fitted slope is 0.982 ± 0.025, and the average bias between the measured values and the readings (σ T  = |P TDLP TCR|) is ~13 K.

Fig. 9
figure 9

Comparison between the temperatures from the TDL sensor and the thermocouple readings measured in the combustion gases

Vertical distributions of the gas temperatures and CO2 concentrations are also measured on the burner. In this distribution measurement, the combustion temperature is set at ~1,350 K by adjusting the fuel/air ratio. Measurements are taken across the burner along the radial direction at ten vertical locations with a step length of 1 cm. The distributions of the gas temperatures and CO2 concentrations as a function of vertical position are shown in Fig. 10. It can be seen from the figure that there are large spatial variations for the gas temperature and CO2 concentration along the vertical locations. The maximum values of the temperature and CO2 concentration are in the flame envelope. As the measurement position is gradually moved away from the burner, the temperature and CO2 concentration decrease dramatically owing to the diffusion of heat and combustion products. It is coincident with the combustion phenomena.

Fig. 10
figure 10

Distributions of the gas temperatures and CO2 concentrations as a function of vertical position in the combustion gases

6 Summary

In this work, simultaneous measurements of the gas temperature and CO2 concentration are demonstrated by means of an extended-wavelength diode laser sensor at 2.0 μm. The sensor is based on two CO2 transitions near 5,006.140 and 5,010.725 cm−1, which are chosen as the optimum line pair for the target temperature of 500–1,350 K at atmospheric pressure using previously defined selection criteria. The temperature and CO2 concentration are determined by the peak heights of the 1f-normalized WMS-2f signals. In this way, influences of variation in laser intensity and electro-optical gain can be removed. To enhance the performance of the sensor, the influence of modulation depth, total pressure, and species concentration are also evaluated. Measurements are first taken for a quiet, transient-free environment produced by a heated static cell. The comparison between the measured values and the well-controlled gas temperature and CO2 concentration confirm the accuracy and reliability of the sensor. The sensor is then applied to short diffusion flames on a burner to illustrate the potential of the 1f-normalized WMS-2f sensor for combustion diagnosis. In contrast to the earlier related research here are reported the first simultaneous measurements of gas temperature and CO2 concentration in combustion gas by the CO2 transitions at 2.0 μm.