Paper

Evaluation of dimensional stability of metering truss structure using built-in laser interferometric dilatometer

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Published 25 November 2020 © 2020 IOP Publishing Ltd
, , Citation Kazuya Kitamoto et al 2020 Eng. Res. Express 2 045023 DOI 10.1088/2631-8695/abc9cf

2631-8695/2/4/045023

Abstract

Dimensional stability in a space telescope is one of the important factors for performing high-resolution observations. The supporting structures between the primary and the secondary mirrors in a space telescope are required to maintain the mirror positions with the proper focus for minimizing the optical alignment error. In orbit, the harsh environment subjects a space telescope to temperature variations that can lead to deformation of those structures and degradation of the telescope's optical performance. Several approaches are available for achieving high dimensional stability. They include minimizing temperature variations with active thermal control, designing the structure with low thermal expansion materials, and correcting the shape and/or position of the structure with actuators. An optimum combination of these measures is determined based on an accurate evaluation of the dimensional stability of the structures. This paper proposes a displacement measuring interferometer system with a simple, robust, and compact sensor that can monitor the dimensional stability of the precise structure by integrating the sensor into the structure. In this technique, a Fabry–Perot displacement sensor was built into the end of a strut that is a component of a metering truss structure. Two types of truss struts were tested to verify the performance of the proposed technique in measuring thermal expansions. The first one was the prototype that was made of stainless steel (SUS304). The other strut was made of a low thermal expansion ceramic (SiAlON) that is one of the most promising materials for a highly thermo-stable satellite structure. The thermal dimensional stability of these struts was evaluated by using the proposed technique and compared with conventional dilatometers for validating this new technique. The results showed that the technique has similar precision to the conventional measurement system and provide a more convenient and stable measurement system.

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1. Introduction

Many aspects such as lightweight, stiffness, strength, and dimensional stability are considered when designing space structures. Especially, the dimensional stability of the structures is essential to realizing high-performance observation missions. Figure 1 shows an example of a typical configuration of space telescopes, typically composed of a precision metering truss and spider arms to support the primary and secondary mirrors. These structures are designed to maintain the position of the optics in precise alignment - if a supporting structure deforms, it would possibly degrade the telescope's optical performance. One example is that a shift in the focus of the Hubble Space Telescope was found on-orbit soon after the start of the observations began [1]. It was caused by a deformation of the metering truss, which supports the secondary mirror; this was due to the temperature variations and moisture desorption in the space environment. Temperature variations, thermal gradients, and moisture desorption are the major causes of structural deformation in space environment [1, 2].

Figure 1.

Figure 1. Example of space telescope system.

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The thermal and moisture desorption induced displacement (${\rm{\Delta }}{L}_{Thermal},$ ${\rm{\Delta }}{L}_{Moisture}$) are related to the material properties (i.e. the coefficient of thermal expansion (CTE, $\alpha \left(T\right)$) and the coefficient of moisture expansion (CME, $\beta \left(M\right)$)), the surrounding environmental change (in temperature and in moisture content), and the initial length (${L}_{0}$) of the structure. These are expressed as in equations (1) and (2):

Equation (1)

Equation (2)

There are several approaches to reducing structural deformation as follows:

  • Environmental control (as related to ${\rm{\Delta }}T,$ ${\rm{\Delta }}M$):Minimizing temperature variations and thermal gradients by using active thermal control [3] and inhibiting moisture absorption/desorption by using a coating and a barrier technique on the material's surface [4, 5].
  • Passive control (as related to $\alpha \left(T\right),$ $\beta \left(M\right)$):Designing with materials having a low CTE and a low CME to decrease response sensitivity to the environmental variations [6, 7].
  • Active control (as related to ${\rm{\Delta }}{L}_{Thermal},$ ${\rm{\Delta }}{L}_{Moisture}$):

Correcting the physical shape and repositioning the optical components by using an actuator in the structure [8].

These methods have been used in combination with satellite design. For example, the metering structure of the Hubble Space Telescope is designed with selected low-CTE graphite/epoxy composites to minimize thermal expansion, and actuators on the primary and secondary mirrors are provided to adjust their mirror positions [1]. In another study, heaters were used as actuators and induced the thermal deformation for pointing control in instruments [9]. In order to optimally combine these methods and to achieve high dimensional stability, it is important to accurately evaluate the stability of structures and materials by incorporating a reliable measurement system in the design [10, 11]. Such a system with robustness and compactness can be applied to real-time displacement monitoring in orbit and provide information on any structural deformation for active shape compensation; it could achieve essentially a zero-deform structure.

Many measurement systems have been proposed for evaluating the dimensional stability of structures and materials [12]. One example is a laser displacement sensor based on a triangulation that is typically used to measure micrometer-order displacements of many applications because of the simple measurement system [13]. However, the measurement accuracy of the laser displacement sensor decreases as the working distance increases [14]. Its accuracy would be inadequate to apply it to the displacement measurement of a large structure that is several meters from the sensor. Another famous laser displacement metrology is laser interferometry. A laser interferometric displacement sensor has a wide working range with high resolution. A simple system based on laser interferometry, such as the Michelson interferometer, measures the relative displacement between a reference reflector and a target reflector [14]. It is typically necessary to align some external optics to deliver the laser beam path to the target reflector in a straight line. Therefore, the alignment of the measurement system becomes complex for large structures and assembled structures. In addition, the measurement system requires a highly stable measurement environment. Another available measurement system is an optical fiber sensor such as the Fiber Bragg Grating (FBG) sensor. An FBG sensor can measure strain and/or temperature by mounting/embedding optical fiber on/in the structures. Because the sensor is simple and compact, the sensor would be suitable for monitoring dimensional stability on the ground and in orbit [1517]. However, since an FBG sensor monitors only the local strain of a structure, it is necessary to use many FBG sensors to determine the deformation behavior of the entire structure.

This research proposes a measurement technique that can detect displacement simply and precisely with no external jigs by using a compact interferometric sensor built into the structure. This technique would be useful not only for the evaluation of dimensional stability in the ground-based testing but also for a life cycle (deformation behavior) monitoring in orbit. The purpose of this paper is to clarify the fundamental performance of this built-in technique by demonstrating the measurement of the thermal deformation of a truss strut for the metering structure of a space telescope. First, the thermal displacement of a stainless-steel truss strut was measured simultaneously with the proposed built-in measuring technique and with a conventional precise displacement measuring technique to clarify the precision and usability in ground test condition. Second, the thermal displacement and CTE of a truss strut made of a low thermal expansion ceramic were measured in a vacuum chamber where the test condition controlled to simulate space environment to validate the evaluation method of dimensional stability of the structure using proposed technique by comparing to analytical value calculated from the material data. In the measurement case of ceramic strut, the uncertainty in the measurement was also analyzed.

2. The displacement measuring technique for precision structures

The displacement measuring interferometer (DMI) based on Michelson's interferometer is the most famous and simplest laser metrology using optical interferometry. It consists of a laser source, a beam splitter, and receivers. A heterodyne type of DMI is often used for sub-fringe detection. The He-Ne dual-mode laser source has two beams with slightly different frequencies which are orthogonally polarized to each other. These beams are split into a reference beam and a measurement beam. Displacement in the heterodyne type of DMI is determined from the phase change in beat frequency generated from these beams when a Doppler shift occurs. Specifically, the relative displacement between a moving mirror attached to an object and a reference mirror fixed to the interferometer is measured.

Some measurement error sources of laser interferometry must be reduced for the high accuracy and stability of many applications. For example, environmental error, which is the dominant error in error budgets of many cases, is caused by the instability of external jigs in an uncontrolled environment and by ground vibrations and unstable air condition (if it used in a clean room instead of a vacuum chamber). In addition, the drawback of the conventional DMI is its large physical size and the difficulty of separating the laser and the detector [12]. Hence, the large measurement system is unsuitable for integration in the measured objects to monitor the structural deformation in situ.

The fiber-optic displacement sensor is based on the Fabry–Perot interferometer (FPS3010, Attocube systems AG), which is highly accurate and has a simple alignment adjustment system [18]. The system is constructed of a laser source, a detector, and a sensor head with an optical fiber. The end of the optical fiber has a flat polished surface that reflects part of the incoming light. The reflected light provides the reference beam for the interferometer. The rest of the incoming light is transmitted to the target mirror, which is attached to the measured object and is reflected as a measurement beam. The sensor head converts the emitted light from the end of the fiber into collimating light for having long working distances. The design of the sensor head concentrated on making it compact and robust. The sensor works in extreme environments such as in ultrahigh vacuum and at cryogenic temperatures. In addition, the fiber-optic is useful directly guiding the laser beam from the laser source to the measured objects without needing any complex alignment apparatus or extra jigs such as many optics mounts.

In this study, this compact interferometric displacement sensor was built into the structure for measuring its displacement. Hence, it is possible to measure accurately the displacement of the structure by directly attaching the compact sensor to the measured objects because it is not affected by the instability of extra jigs (figure 2). In addition, it would provide a stable measurement environment by guiding the beam path within the internal space of the structure [19]. In this paper, the system is referred to as a built-in displacement measuring interferometer (BDMI).

Figure 2.

Figure 2. A comparison of evaluation method of the dimensional stability of the assembled structure with the conventional measuring system (left) and the proposed measuring system (right).

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3. Experiments

3.1. Specimen configurations

The study evaluated the thermal stability of two types of truss struts using the BDMI for axial displacement measuring to demonstrate the basic performance of the proposed technique.

The first one was made of stainless steel (SUS304). The other strut was made of a low thermal expansion ceramic (SiAlON, S110, KROSAKI HARIMA Co.). SiAlON is a solid solution of silicon nitride (Si3N4) with aluminum oxide (Al2O3) [20]. It is well-known for use in the gas turbine engine because it has high-temperature strength, good fracture toughness, and thermal shock resistance. In addition, it also has superior mechanical properties such as a low CTE, high specific modulus, and non-hygroscopic property. Especially, the CTE of SiAlON, which is equivalent to that of invar alloy, is lower than silicon nitride (Si3N4) and silicon carbide (SiC) at room temperature [2123]. For these reasons, SiAlON is one of the most promising materials for a highly thermo-stable satellite structure.

The struts were 300 mm and 200 mm in length, respectively (figure 3). The truss strut (TS) with the BDMI was constructed of a structural module (STM) and a sensing module (SM), as shown in table 1. The structural module was an ordinary pipe-shaped component. The sensing module was the key part of the proposed system. The interferometric sensor head and the target reflector were built into the flange of each end of the strut as shown in figure 4. The sensing module is designed with a flexible adjusting mechanism for easier optical alignment between the sensor head and the target reflector in the BDMI. The flexure hinges provide 4 degrees of freedom (DOFs); they are in-plane (XY) translation and tip/tilt around X/Y. In addition, the flange part of the sensing module was made of the material having the same or nearly the same CTE as that of the structural module (table 2).

Figure 3.

Figure 3. Truss struts with the BDMI, made of SUS304 (upper) and SiAlON (lower).

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Table 1. Truss struts specifications.

Truss Strut (TS)Stainless-steel strutCeramic strut
Material of Structural Module (STM)SUS 304SiAlON
Material of Sensing Module (SM)SUS 304Invar alloy
Flange width, W (Square shape)mm84
Pipe outer diameter, ${D}_{outer}$ mm56
Pipe thickness, tmm2.03.0
Length, ${L}_{0,STM}$ mm300200
STM mass, Mkg1.710.70
Figure 4.

Figure 4. Interferometric displacement sensor head (upper left) and retroreflector (upper right) built into the sensing module. Flexure hinge for tip/tilt adjustment (lower left) and CAD drawing of flange integrated adjustment mechanism (lower right).

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Table 2. Material properties for the truss struts.

Truss strutStainless-steel strutCeramic strut
ModuleStructural moduleSensing moduleStructural moduleSensing module
MaterialSUS 304SiAlONInvar alloy
Material nameS110IC-362A
ManufacturerKROSAKI HARIMASHINHOKOKU STEEL
Mass density, $\sigma $ g cm−3 7.933.248.10
Young's modulus, EGPa193290141
Mean CTE, $\bar{\alpha }$ at room temperature10−6/K17.3≈1.3< 2.0
Thermal conductivity, k at room temperatureW m−1 · K162115

Since the laser optical system, including the sensor head and target reflector, is constructed in the tubular cavity of the truss strut, it is protected from the damage by handling and the fluctuations in the measurement environment (figure 5). Therefore, the BDMI is a far more robust system than a conventional DMI.

Figure 5.

Figure 5. Schematic diagram of the BDMI.

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3.2. Experimental setup of the stainless-steel strut in the clean room

The thermal expansion of the stainless-steel strut was measured simultaneously with the BDMI and with a conventional DMI in a clean room. The DMI needs to assemble some optical components and align them in situ. The DMI used in this experiment consisted of a laser head (5517C, Agilent), a three-axis plane mirror interferometer (Z4399, Agilent), and a laser board with high resolution (N1225, Agilent). The target reflectors had low-distortion kinematic mirror mounts and were attached to the side of the sensing module, one at each end of the strut. The interferometer was installed at a distance from target mirrors and the dimensional change of the strut was determined by the difference in the two measurement beams, which were aligned with both ends of the strut as shown in figure 6. Therefore, the axial displacement of the strut was calculated as in equation (3).

Equation (3)

Where ${\rm{\Delta }}{L}_{DMI}$ is the axial displacement of the strut, ${\rm{\Delta }}{X}_{A}$ is the displacement between the interferometer and top target reflector A, and ${\rm{\Delta }}{X}_{B}$ is the displacement between the interferometer and bottom target reflector B.

Figure 6.

Figure 6. Schematic diagram of the conventional DMI.

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In contrast, since the BDMI is integrated into the strut in advance, it is available by only installing the strut in situ and connecting optical fiber to the end of the structure. Figure 7 shows the optical layout of the BDMI and the DMI.

Figure 7.

Figure 7. Schematic diagram of the thermal expansion test setup for measuring the axial displacement of the truss strut in a comparison test using the BDMI and the DMI.

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These measurement systems were installed in a clean room that had a highly stable air conditioning control system (< ± 0.5 °C, < ± 0.9%RH). The specimen temperature was controlled in steps of 5 °C from 15 °C to 30 °C by the air conditioner of the clean room. Each temperature interval was maintained until the temperature reached the steady-state temperature. The thermal expansion was measured during two ways that were cooling from 30 °C to 15 °C and heating from 15 °C to 30 °C. The specimen temperature was measured with high-precision NTC type thermistors (N550 probe sensor with N820 DAQ system, Nikkiso-Thermo Co.). Besides, the conditions of the test environment in the clean room (such as air temperature, relative humidity, and air pressure) were also monitored to compensate for fluctuations in the air refractive index. The air temperature and humidity were measured with an NTC thermistor and capacitive humidity sensor (testo176P1, Testo Co.). The air pressure was measured using a barometer (F4711, YOKOGAWA Denshikiki Co.). Figure 8 shows the experimental setup. These tests were performed on a thermostable optical bench with a vibration isolation mechanism to reduce the ground vibrations.

Figure 8.

Figure 8. Schematic diagram of the measurement configuration in the clean room.

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3.3. Results of the stainless-steel strut and discussion

The axial displacement of the SUS304 strut due to the temperature changes was measured simultaneously with the BDMI and the DMI as shown in figure 9. Both measurements detected precisely the displacement associated with the set temperature changes. The temperature represents the mean value of the measurement of the thermistors attached to the surface of the strut. These displacements were compensated for the air refractive index fluctuation using Edlen's equation [24]. Figure 10 shows a blow-up of the measured displacement associated with the temperature fluctuation at the steady-state temperature attained during heating. The slight temperature fluctuation was caused by the control period of the air conditioning system. The graph indicates that the displacement behavior measured with the BDMI and DMI matched well at the steady-state condition. Figure 11 shows the difference between the measurements with the BDMI and the DMI. It is assumed that the spike noise was caused by a difference in the stability of the air in each measurement path during the transient-state condition. The evidence that points to this is that the displacement measured with DMI has a significant deviation that is not associated with temperature in the transient state (figure 12). Since the measurement path of the BDMI travels inside the strut, contrasted with the path of the DMI that travels outside the pipe, the influence of measurement error caused by the fluctuation of the air conditioning could be small. It is the advantage of the BDMI as having the measurement path inside the structures, compared with other interferometry systems. Hence, displacement measured with the BDMI matched well with the temperature fluctuation even in transition.

Figure 9.

Figure 9. Typical thermal expansion and temperature of stainless-steel strut as functions of time.

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Figure 10.

Figure 10. A comparison of displacements measured with the BDMI and the DMI during a steady-state temperature.

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Figure 11.

Figure 11. Difference in measurement value between the BDMI and the DMI for cooling (upper) and heating (lower) tests.

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Figure 12.

Figure 12. A comparison of displacement measured with the BDMI and the DMI during a temperature transition.

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Including the transient-state temperature, the RMS (Root-Mean-Square) of the difference between the BDMI and the DMI measurements was 0.20 μm during the cooling condition and 0.14 μm during the heating condition. Therefore, the BDMI had a measurement precision equal to that of the conventional DMI and had good reproducibility.

3.4. Experimental setup of the ceramic strut in the vacuum chamber

The thermal expansion and CTE of the ceramic truss strut were measured with the BDMI and were compared with those of the material sample.

The material sample was manufactured from the same production lots as the strut (figure 13). The temperature-dependent CTE of the sample was measured with a commercial dilatometer (LIX-2, ADVANCED RIKO Inc.), a duplex-passed Michelson interferometric dilatometer, from −50 °C to 100 °C in high-purity He gas under low pressure.

Figure 13.

Figure 13. The material sample, from the same production lot as the truss strut for CTE measurement.

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The thermal displacement of the ceramic strut was measured in the vacuum chamber at less than 2 Pa to reduce the environmental errors due to the air refractive index fluctuation (figure 14). The temperature was changed by a heatsink installed in the chamber. The heatsink was connected by a feed-through to the circulating heater bath unit (PRESTO A80, Julabo) to carry chiller oil. The temperature was controlled in steps from 0 °C to 50 °C in increments of 5 °C or 10 °C, depending in the temperature region. Each temperature interval was maintained until the specimen temperature reached the steady-state temperature. The specimen temperature was measured with high-precision NTC type thermistors (N550 probe sensor with N820 DAQ system, Nikkiso-Thermo Co.). The optical fiber for the BDMI and the thermistors for temperature measurement were connected by using the feed-through to the electronics outside of the vacuum chamber. The vacuum chamber was installed on an optical bench with a vibration isolation mechanism to reduce the ground vibrations.

Figure 14.

Figure 14. Schematic diagram of the measurement configuration in the vacuum chamber.

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3.5. Results of the ceramic strut and discussion

Figure 15 shows the CTE of SiAlON (S110), material sample, measured with the laser interferometric dilatometer, confirming the temperature-dependent CTE. Especially, the CTE in the temperature range from 0 °C to 50 °C appeared to be linear. Thermal expansion of many ceramics is known that it can be approximated by a quadratic function under the limited temperature range except for high temperature [2527]. However, the CTE of these ceramics at around room temperature is a linear approximation for practical applications.

Figure 15.

Figure 15. Temperature-dependent CTE of SiAlON (S110) sample.

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Figure 16 shows the axial displacement of the ceramic strut with the BDMI as a function of time during the temperature cycle. Each temperature interval was maintained until the specimen temperature reached the steady-state temperature. For a long measurement over a week, a temperature change was operated every 24 h, and the 6 h was available as the steady-state condition of each temperature interval. The standard deviations of displacement and temperature at the steady-state temperature are less than 10 nm and 0.03 °C, respectively. Figure 17 shows the measured displacement as a function of temperature. The data points represent the mean value of the experimental data in the steady-state temperature. The dotted curve is a second-order polynomial fit obtained from measurement points with the BDMI. The solid curve is the analytical curve of the thermal expansion that was assumed to be a function of the CTEs of the constituents of the structural module and the sensing module, as shown in figure 18 and following equation (4).

Equation (4)

Where

and

Figure 16.

Figure 16. Thermal expansion of the ceramic strut measured with the BDMI and temperature as functions of time.

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Figure 17.

Figure 17. Thermal expansion of the ceramic strut measured with the BDMI as functions of temperature. The error bars indicate one standard deviation during steady-state temperature. (The error bars are smaller than the data point, where they are not shown).

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Figure 18.

Figure 18. Schematic diagram of constituents of the ceramic truss strut with the BDMI.

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The CTE of the SiAlON was an actual measurement result, but the other CTEs were assumed to be constant over the temperature range, according to manufacture specifications (table 3). The analytical value closely matched with the experimental data points. The RMS of difference between the polynomial fit curve and the analytical curve was 202 nm during the wide temperature range (from 5 °C to 45 °C). The RMS was 100 nm during the limited temperature range (from 15 °C to 30 °C). There is a remarkable difference in the wide temperature range, caused by some constituent parts not having a constant CTE over the temperature. Thus, to identify the thermal behavior of the sensing module, the displacement of the sensing module ${\rm{\Delta }}{L}_{SM1,SM2}$ associated with the temperature change was measured without the structural module. The chained curve is the analytical curve of the thermal expansion with compensation of the thermal behavior of the sensing module. The RMS of difference between the polynomial fit curve and analytical curve with compensation of sensing module was 145 nm during the wide temperature range (from 5 °C to 45 °C). The RMS was 69 nm during the limited temperature range (from 15 °C to 30 °C). Therefore, the analytical value with compensation of the sensing modules matched well with the experimental data points.

Table 3. Specifications of the constituents of the structural module.

Parts nameMaterialMean CTE at room temperature ${\bar{\alpha }}_{i},$ 10−6 K−1 Initial length ${L}_{0,i},$ mm
Sensing module housingInvar alloy1.921
Sensor headTitanium8.83.5
Lens holderSuper invar alloy0.298
RetroreflectorFused silica0.556

Next, the CTE of the SiAlON of the structural module was also evaluated by the BDMI measurement data and was compared with that of the material sample. Figure 18 shows the CTE of SiAlON obtained from the measurements of the truss strut subtracted by the thermal behavior of the sensing modules according to equation (5).

Equation (5)

and

The data points represent the experimental data in the steady-state temperature. The dotted line is a fitting line determined from the polynomial fit curve of displacement as shown in figure 19. The solid curve indicates the measurements of the material sample which is the same production lot as the strut. The uncertainty budgets of the CTE measurement with the BDMI are shown in table 4. The combined standard uncertainty ${u}_{c}$ was calculated from equation (6).

Equation (6)

Where

Figure 19.

Figure 19. A comparison of CTE measurements of the truss strut with the BDMI and the material sample with the laser dilatometer.

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Table 4. Uncertainty budget of the CTE of SiAlON measurement using the BDMI.

TermFactor, ${x}_{i}$ Standard uncertainty, ${\rm{u}}\left({x}_{i}\right)$ Probability distributionDivisor, DSensitivity coefficient, ${C}_{i}$ Type
$u\left({\rm{\Delta }}\lambda \right)$ Wavelength stability50PpbRectangular $\sqrt{3}$ 1B
$u\left({\rm{\Delta }}L\right)$ Sensor resolution1PmRectangular $\sqrt{3}$ $\tfrac{1}{{\rm{\Delta }}L}$ B
 Sensor repeatability Working distance: 200 mm8.3NmRectangular $\sqrt{3}$ $\tfrac{1}{{\rm{\Delta }}L}$ B
 Signal stability $(2\sigma )$ Working distance: 200 mm2.7NmGaussian $2$ $\tfrac{1}{{\rm{\Delta }}L}$ B
$u\left(L\right)$ Length uncertainty0.005MmRectangular $\sqrt{3}$ $\tfrac{1}{L}$ B
$u\left({\rm{\Delta }}T\right)$ Temperature uncertainty0.01KRectangular $\sqrt{3}$ $\tfrac{1}{{\rm{\Delta }}T}$ B

${\rm{\Delta }}T:$ Temperature change in °C

${\rm{\Delta }}L:$ Measured displacement in nm

${x}_{i}:$ Factor (Input value)

$u\left({x}_{i}\right):$ Standard uncertainty

${u}_{c}\left({x}_{i}\right):$ Combined standard uncertainty

The RMS deviation of fitting residual ($u\left({\rm{\Delta }}L\right)=57\,{\rm{nm}}$) is added to the combined measurement uncertainty of the CTE [28]. In addition, the expanded measurement uncertainty ${U}_{95 \% }$ for a level of confidence of approximately 95% is obtained by multiplying the combined standard uncertainty ${u}_{c}\left(\alpha \right)$ by a coverage factor ${k}_{95 \% }=2.$ Therefore, the CTE measured using the BDMI and using the LIX-2 system are $\left(1.213\pm 0.063\right)\times {10}^{-6}$/K and $\left(1.294\pm 0.040\right)\times {10}^{-6}$/K at room temperature, respectively. The errors indicated the measurement uncertainties of the BDMI (for $\lambda =1530\,{\rm{nm}},$ ${\rm{\Delta }}T=5\,^\circ {\rm{C}}$ and $L=199.950\,{\rm{mm}}$) and the LIX-2 (for ${\rm{\Delta }}T=5\,^\circ {\rm{C}}$ and $L=14.191\,{\rm{mm}}$). The CTE of the fitting value of the BDMI measurement agreed with that of the material sample measured within $1.0\times {10}^{-7}$/K. The slight difference in CTE was caused by CTE inhomogeneity (Specimen size dependence), the uncertainty of each measurement system, the residual error of the sensing module compensation, and the data fitting process.

4. Conclusions

The performance of the BDMI, the fiber-based laser interferometric displacement sensor that was built into the structure, was verified by measuring the thermal expansion of two types of truss struts for evaluating dimensional stability. According to the results for the stainless-steel strut with the BDMI, the proposed technique had high precision, equal to that of the conventional DMI. Especially, the displacement measured with the BDMI matched well with the temperature fluctuation even in transition since it provides a stable measurement environment by guiding the beam path within the internal space of the structure. Moreover, thermal expansion and CTE of the truss strut made of the low thermal expansion ceramic (SiAlON) were also measured with the BDMI and were well matched with analytical value calculated from the material sample data, measured by another reliable dilatometer. Therefore, the BDMI could detect nanometer-order displacement of the structural member over several hundred millimeters in length more easily than conventional measuring technique. In addition, the uncertainty evaluation of the measurement was analyzed.

The proposed measurement technique has high precision and the advantage of being simple and robust. If the metering truss can be composed of the strut members having the proposed measurement system, it also provides the high-precision evaluation of the dimensional stability for assembled structures. This study demonstrated a proof-of-concept of built-in measuring system as a fundamental technology for alignment quality verification of integrated optical systems in the assembly process and for monitoring deformation during on-orbit service.

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10.1088/2631-8695/abc9cf