Abstract
This article proposes an on-chip optical temperature sensor based on a cascaded microring resonator, which is composed of a reference ring and a sensing ring cascaded with different temperature sensitivities and free spectral ranges. By changing the temperature of the sensing window environment, the thermal optical effect of the waveguide causes a change in the refractive index of the waveguide, which affects the temperature sensitivity and free spectrum changes of the sensor. The output spectral response of the sensor shifts, achieving temperature sensing detection. The experimental results show that the temperature sensitivity of this microring cascaded temperature sensor is 303.6 pm/°C, which is 3.65 times the limit of a single microring temperature sensitivity of 83 pm/°C. The temperature-sensing range of the sensor is 100°C, which can well meet the temperature-monitoring requirements of ultra-large-scale integrated circuits.
1 Introduction
In the current very-large-scale integration (VLSI) system, temperature monitoring of the integrated circuit (IC) is an important step to ensure the normal and stable operation of the circuit system [1]. How to monitor and control the temperature of ICs has become a hot spot in the design of ICs. In recent years, temperature sensors based on silicon photonics have received extensive attention. The application of silicon photonics temperature sensors to the temperature detection of ICs is an important direction of temperature measurement of ICs. Compared with traditional on-chip temperature sensors, silicon photonics temperature sensors have better anti-electromagnetic interference ability, higher compatibility, and lower energy consumption, and have excellent performance in many application scenarios [2,3]. Various integrated optical temperature sensors based on different structures and mechanisms have been developed, such as microring resonators [4,5,6], Bragg gratings [7], and Mach–Zehnder interferometer (MZI) [8,9]. However, because the thermo-optical coefficient of silicon is about 1.86 × 10−4/°C, the sensitivity of most temperature sensors is limited to 83 pm/°C [10,11]. How to improve the sensitivity of the sensor is an important direction in the current research field of silicon photonics sensors, and it is also the main work of this article.
In order to obtain better sensor performance, many scholars have studied temperature sensors based on silicon-on-insulator (SOI) platform in different ways and structures and obtained good results. Kim and Yu used cascade ring resonators to improve the sensitivity of the sensor, and the sensitivity of the temperature sensor was increased to 293.9 pm/°C under the effect of the vernier [12]. Zhang et al. proposed a temperature sensor based on a cascade silicon photonic crystal (PhC) nanobeam cavity. Two PhC nanobeam cavities with superimposed width modulation structure and parabolic beam structure were used to improve the sensitivity. When the temperature increased, the wavelengths of the two cavities were red-shifted and blue-shifted, respectively. Thus, the sensitivity of the temperature sensor is increased to 162.9 pm/°C [13]. Zhang et al. used the MZI structure to study temperature sensors and cut the waveguides of the two MZI arms into a structure with different sensitivity widths but almost the same refractive index to obtain a sensing sensitivity of 438 pm/°C [14]. Although the aforementioned sensor structures have achieved relatively large sensitivity, compared with the single microring resonator, temperature sensor has a great improvement, but at the same time, these sensor structures also occupy relatively large chip space. For example, Kim’s cascade microring resonator temperature sensor achieves 293.9 pm/°C, but the radii of the two microring waveguides reach 271.94 and 232.23 μm. Different from the research carried out by the aforementioned scholars, the reflective Fabry–Perot cavity and microring resonator cascaded temperature sensor studied by Xie et al. [15] increased the contrast of the spectrum through the fiber reflector and Fabry–Perot cascaded, increased the sensitivity of the sensor to 1.9434 dB/°C, and achieved a high sensitivity, while the sensor has a relatively small size.
According to the development trend of high integration and small size of ICs, this study proposed a new structure of double microring cascaded temperature sensor based on the vernier effect. The sensitivity of the traditional single microring resonator temperature sensor is limited to 83 pm/°C. The double-ring cascade resonator sensor structure that forms the vernier effect can greatly improve the sensitivity of the sensor. Different from the sensor structure designed by Kim, the reference ring and the sensing ring are set on the same side of the sensor structure designed in this study, which can greatly reduce the volume of the sensor waveguide structure while ensuring that the sensor has a good sensitivity (303.6 pm/°C). The radii of the two microring waveguides are only 38.17 and 39.52 μm. The novel sensor waveguide structure proposed in this study achieves the coexistence of small volume and high sensitivity to a certain extent, which has certain research significance and can provide reference for subsequent research.
2 Design principle and structure
The sensor detection of microring resonator sensors is mainly divided into light intensity detection and spectral detection [16,17]. Light intensity detection refers to the detection power within the same wavelength range. Spectral detection is to detect the offset of the resonant peak of the output projection spectrum. In this study, the temperature sensor of the cascade microring resonator based on the vernier effect is designed to measure the environmental temperature change by means of spectral detection, i.e., the temperature in the environment is obtained by detecting the resonance wavelength drift caused by the temperature change of the output spectrum at a fixed wavelength.
Microring resonator working principle of temperature sensor is due to the waveguide surface evanescent field [18], when the environment temperature changes, because the thermo-optic effect of polymer waveguide effective refractive index changes, leading to model the spread of the annular resonator in phase change and influence the resonant condition of the sensor, changing the microring resonator output spectrum. The change of ambient temperature is transformed into the drift of resonant wavelength, and the ambient temperature can be detected by detecting the change of output spectral line at the output end. The temperature detection of the temperature sensor of the microring resonator is mainly affected by the thermo-optical effect and thermal expansion effect. When the temperature changes, the refractive index of the waveguide is affected by the thermo-optical effect, and the perimeter of the microring waveguide is changed by the thermal expansion effect [19]. Therefore, the overall shift of the microring resonant wavelength caused by temperature is as follows:
where
Where
where
The sensitivity of the temperature sensor designed by the traditional single microring resonator is limited to 83 pm/°C. In order to break through the sensitivity limit of the single microring temperature sensor, the vernier effect is adopted to cascade multiple microring resonators to expand the sensitivity of the sensor [22]. As mentioned earlier, a novel cascade microring sensor structure is designed in this study. The waveguide plane of the sensor is shown in Figure 1(a), and the waveguide structure diagram of the sensor is shown in Figure 1(b). The cascaded microring temperature sensor designed in this study is composed of input and output waveguides, cascaded transmission waveguides, and two ring resonators. The reference ring and sensing ring are arranged on the left side of the cascaded transmission waveguide in an upper and lower structure. The sensor structure is designed with SOI material. In order to prevent thermal crosstalk in the sensor waveguide, a TiO2 coating with negative thermal and optical coefficient is covered on the waveguide except the sensing ring 2. The exposed ring 2 is used as the sensing window, and the temperature change of the sensing window affects the waveguide mode characteristics through the evanescent field and then affects the characteristics of the whole sensor.

Structure diagram of sensor: (a) sensor waveguide plan and (b) structure diagram of sensor waveguide.
The light source is projected into the sensor structure from the input port of the waveguide structure and is coupled with ring 1 in the middle of the incident waveguide. The light beam is coupled into ring 1 from the incident waveguide and transmitted in the ring. When the beam propagates in ring 1, the optical path around the ring is equal to an integer multiple of the wavelength, i.e., when it satisfies:
The interference enhancement will occur with the light newly coupled into the microring, and the beam will output a spike in the transmission waveguide when it is coupled to the transmission waveguide. In the aforementioned equation, R is the radius of the microring,
According to the microring resonator theory, it can be deduced that the output spectrum of a single microring resonator of this temperature sensor at the output end is as follows:
where
Because the cascade microring resonator temperature sensor designed in this study is realized by cascade of two microring resonators, and the transmission spectrum form of the microring resonator is the same, according to the output spectrum of a single microring resonator, the output spectrum of the sensor is as follows:
where

Output spectra of the microring resonator: (a) output spectra of the reference ring and the sensing ring and (b) total output spectrum of the sensor.
Since the reference ring is covered with TiO2 cladding with negative thermo-optical coefficient, the reference ring is almost not affected by the external temperature. In contrast, a bare window is designed on the sensing ring to fully feel the temperature change and serve as the sensing window of the sensor. When the temperature in the window changes, it can be seen from Eqs. (4) and (5) that the refractive index of the waveguide changes, and the free spectral range formula is as follows:
which shows that the free spectral range of the sensing ring changes with the temperature in the sensing window. Because the sensor is composed of two ring resonators in cascade, and the output spectrum of the sensor is the product of the output spectrum of the reference ring and the sensing ring, when the free spectral range of the sensing ring changes, the resonant peak of the output spectrum of the sensing ring will also change. Under this change, the total output spectrum of the sensor will be separated to form two spectral peaks, and the range between the two spectral peaks is the free spectral range of the cascaded double-ring sensor. When the temperature of the sensing window changes, the transmission spectrum of the sensing ring produces a small change
3 Experimental results and analysis
The temperature sensor of the cascade microring resonator is realized on the silicon material of SOI. The sensor waveguide structure with a height of 0.22 μm and a width of 0.5 μm is designed on the buried oxide layer. The radius of the reference ring waveguide structure is 38.17 μm, and the radius of the sensing ring waveguide structure is 39.52 μm. The distance between the reference ring and the sensing ring is 12 μm. In the experiment, the refractive index of Si material is 3.48 and that of SiO2 material is 1.44. When the temperature is 300 K, a light source with a wavelength of 1.5–1.6 μm is radiated from the input end of the sensor waveguide. After transmission and coupling by the sensor, the output spectrum detected at the output end of the sensor is shown in Figure 3. After passing through the sensing ring, the output spectrum of the reference ring forms a new sensing spectrum, and a new spectral peak appears on the spectrum. Due to the change of the effective refractive index of the sensing ring waveguide at different temperatures, the peak value of the output spectrum will drift along with the change of temperature.

Sensor output spectrum at 300 K temperature.
The traditional cascaded double-ring sensor will have a large spectral peak shift when detecting small refractive index changes, but it does not actually enlarge the measurement range of the sensor, i.e., the phenomenon that the free spectrum range does not enlarge. This study referred to the solution of Su et al. [23] in the research of cascaded double-ring sensor and adopted the envelope-fitting method to improve the sensing sensitivity and sensing measurement range of the temperature sensor. The output spectrum of the sensor in an environment of 26.85°C after envelope fitting is shown in Figure 4. After envelope fitting, the fitted curve can be used to measure the perceived variation of the sensor, which can significantly enlarge the measuring range of the sensor and optimize the sensing performance of the temperature sensor.

Spectrum waveform after envelope fitting.
In order to verify the sensing performance of the cascaded microring resonator temperature sensor, including the sensitivity, measurement range, and other performance parameters, this study conducted simulation experiments on the temperature sensor under different temperature conditions. Experimental results show that the cascaded microring resonator temperature sensor designed in this study has good performance parameters and can measure the temperature parameters well. The curve shown in Figure 5 is the output spectrum-fitting curve of the sensor when the wavelength range is from 1.515 to 1.555 μm and the temperature is from 26.85 to 126.85°C. Figure 6 shows the spectral offset of the sensor in sensor output. As can be seen from the figure, this sensor has good sensing sensitivity and measurement range and has good linearity within the measurement range, and the linear relationship follows the formula

Spectral envelope curve of sensor output at 26.85–126.85°C.

Sensor output spectrum offset at 26.85–126.85°C.
Compared with the sensors reported in other studies, this study has obvious advantages in terms of temperature-sensing sensitivity and sensor structure size. The temperature sensor designed by Kim and Yu [12] also adopted a double-ring cascade to design the sensor structure, but the size of their reference ring and sensing ring was much larger than that of our designed structure. And it is slightly less sensitive than our sensors in terms of temperature sensing. Although the temperature sensor designed by Zhang et al. [14] has achieved relatively high sensing sensitivity – up to 438 pm/°C, in terms of the sensor structure, they adopted the MZI structure, which has a large size. This study is different from the research of Xie et al. [15]: they detect the temperature change by the method of light intensity detection, while this study detects the temperature by the way of spectral migration. Both methods have their own advantages. Under the background of high-speed, low power consumption, and small size, VLSI design is obviously not suitable for use on ICs. The sensor designed in this study not only has a high sensing sensitivity, but also greatly reduces the size of the sensor structure, in line with the current development direction of IC design.
4 Conclusion
In this study, an on-chip temperature sensor based on a cascade microring resonator is presented, which is composed of two reference rings and sensing rings with different temperature sensitivities and free spectral ranges. The sensing sensitivity of the temperature sensor is improved, and the structure size of the sensor is reduced. The temperature sensitivity of the microring cascade temperature sensor reaches 303.6 pm/°C, which well breaks through the limit of 83 pm/°C of the single microring temperature sensitivity, and reaches 3.65 times of the single microring sensitivity. At the same time, the temperature sensing range of the sensor is 100°C, which can well meet the demand of VLSI temperature monitoring. In addition, the structure size of the temperature sensor designed in this study has been well improved. The radius of the reference ring and the sensing ring is only 38.17 and 39.52 μm, which is greatly reduced compared with the cascade microring temperature sensor designed and reported by other researchers. The size of the sensing ring is only 15% of the 271.94 μm radius of the sensing ring designed by Kim and Yu [12]. In summary, the cascade microring temperature sensor designed in this study has high sensing sensitivity, compact structure and size, and easy integration, and is suitable for VLSI, which has good research value and application potential in the field of system-on-chip temperature monitoring.
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Funding information: This work was supported by Guangxi Natural Science Foundation Project (2020GXNSFAA159172, 2021GXNSFBA220023), Research Basic Ability Improvement Project for Young and Middle-aged Teachers of Guangxi Universities (2023KY0633, 2022KY0606, 2021KY0604), Shanxi Key Laboratory of Advanced Semiconductor Optoelectronic Devices and System Integration Open Fund (2023SZKF10), and Guangxi Key Laboratory of Automatic Detection Technology and Instrument Foundation (YQ23210), in part by the Special Project of Guangxi Collaborative Innovation Center of Modern Sericulture and Silk (2023GXCSSC01).
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Conflict of interest: The authors state no conflict of interest.
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Data availability statement: All data generated or analyzed during this study are included in this published article.
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© 2023 the author(s), published by De Gruyter
This work is licensed under the Creative Commons Attribution 4.0 International License.
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- Weighted survival functional entropy and its properties
- Bioconvection effect in the Carreau nanofluid with Cattaneo–Christov heat flux using stagnation point flow in the entropy generation: Micromachines level study
- Study on the impulse mechanism of optical films formed by laser plasma shock waves
- Analysis of sweeping jet and film composite cooling using the decoupled model
- Research on the influence of trapezoidal magnetization of bonded magnetic ring on cogging torque
- Tripartite entanglement and entanglement transfer in a hybrid cavity magnomechanical system
- Compounded Bell-G class of statistical models with applications to COVID-19 and actuarial data
- Degradation of Vibrio cholerae from drinking water by the underwater capillary discharge
- Multiple Lie symmetry solutions for effects of viscous on magnetohydrodynamic flow and heat transfer in non-Newtonian thin film
- Thermal characterization of heat source (sink) on hybridized (Cu–Ag/EG) nanofluid flow via solid stretchable sheet
- Optimizing condition monitoring of ball bearings: An integrated approach using decision tree and extreme learning machine for effective decision-making
- Study on the inter-porosity transfer rate and producing degree of matrix in fractured-porous gas reservoirs
- Interstellar radiation as a Maxwell field: Improved numerical scheme and application to the spectral energy density
- Numerical study of hybridized Williamson nanofluid flow with TC4 and Nichrome over an extending surface
- Controlling the physical field using the shape function technique
- Significance of heat and mass transport in peristaltic flow of Jeffrey material subject to chemical reaction and radiation phenomenon through a tapered channel
- Complex dynamics of a sub-quadratic Lorenz-like system
- Stability control in a helicoidal spin–orbit-coupled open Bose–Bose mixture
- Research on WPD and DBSCAN-L-ISOMAP for circuit fault feature extraction
- Simulation for formation process of atomic orbitals by the finite difference time domain method based on the eight-element Dirac equation
- A modified power-law model: Properties, estimation, and applications
- Bayesian and non-Bayesian estimation of dynamic cumulative residual Tsallis entropy for moment exponential distribution under progressive censored type II
- Computational analysis and biomechanical study of Oldroyd-B fluid with homogeneous and heterogeneous reactions through a vertical non-uniform channel
- Predictability of machine learning framework in cross-section data
- Chaotic characteristics and mixing performance of pseudoplastic fluids in a stirred tank
- Isomorphic shut form valuation for quantum field theory and biological population models
- Vibration sensitivity minimization of an ultra-stable optical reference cavity based on orthogonal experimental design
- Effect of dysprosium on the radiation-shielding features of SiO2–PbO–B2O3 glasses
- Asymptotic formulations of anti-plane problems in pre-stressed compressible elastic laminates
- A study on soliton, lump solutions to a generalized (3+1)-dimensional Hirota--Satsuma--Ito equation
- Tangential electrostatic field at metal surfaces
- Bioconvective gyrotactic microorganisms in third-grade nanofluid flow over a Riga surface with stratification: An approach to entropy minimization
- Infrared spectroscopy for ageing assessment of insulating oils via dielectric loss factor and interfacial tension
- Influence of cationic surfactants on the growth of gypsum crystals
- Study on instability mechanism of KCl/PHPA drilling waste fluid
- Analytical solutions of the extended Kadomtsev–Petviashvili equation in nonlinear media
- A novel compact highly sensitive non-invasive microwave antenna sensor for blood glucose monitoring
- Inspection of Couette and pressure-driven Poiseuille entropy-optimized dissipated flow in a suction/injection horizontal channel: Analytical solutions
- Conserved vectors and solutions of the two-dimensional potential KP equation
- The reciprocal linear effect, a new optical effect of the Sagnac type
- Optimal interatomic potentials using modified method of least squares: Optimal form of interatomic potentials
- The soliton solutions for stochastic Calogero–Bogoyavlenskii Schiff equation in plasma physics/fluid mechanics
- Research on absolute ranging technology of resampling phase comparison method based on FMCW
- Analysis of Cu and Zn contents in aluminum alloys by femtosecond laser-ablation spark-induced breakdown spectroscopy
- Nonsequential double ionization channels control of CO2 molecules with counter-rotating two-color circularly polarized laser field by laser wavelength
- Fractional-order modeling: Analysis of foam drainage and Fisher's equations
- Thermo-solutal Marangoni convective Darcy-Forchheimer bio-hybrid nanofluid flow over a permeable disk with activation energy: Analysis of interfacial nanolayer thickness
- Investigation on topology-optimized compressor piston by metal additive manufacturing technique: Analytical and numeric computational modeling using finite element analysis in ANSYS
- Breast cancer segmentation using a hybrid AttendSeg architecture combined with a gravitational clustering optimization algorithm using mathematical modelling
- On the localized and periodic solutions to the time-fractional Klein-Gordan equations: Optimal additive function method and new iterative method
- 3D thin-film nanofluid flow with heat transfer on an inclined disc by using HWCM
- Numerical study of static pressure on the sonochemistry characteristics of the gas bubble under acoustic excitation
- Optimal auxiliary function method for analyzing nonlinear system of coupled Schrödinger–KdV equation with Caputo operator
- Analysis of magnetized micropolar fluid subjected to generalized heat-mass transfer theories
- Does the Mott problem extend to Geiger counters?
- Stability analysis, phase plane analysis, and isolated soliton solution to the LGH equation in mathematical physics
- Effects of Joule heating and reaction mechanisms on couple stress fluid flow with peristalsis in the presence of a porous material through an inclined channel
- Bayesian and E-Bayesian estimation based on constant-stress partially accelerated life testing for inverted Topp–Leone distribution
- Dynamical and physical characteristics of soliton solutions to the (2+1)-dimensional Konopelchenko–Dubrovsky system
- Study of fractional variable order COVID-19 environmental transformation model
- Sisko nanofluid flow through exponential stretching sheet with swimming of motile gyrotactic microorganisms: An application to nanoengineering
- Influence of the regularization scheme in the QCD phase diagram in the PNJL model
- Fixed-point theory and numerical analysis of an epidemic model with fractional calculus: Exploring dynamical behavior
- Computational analysis of reconstructing current and sag of three-phase overhead line based on the TMR sensor array
- Investigation of tripled sine-Gordon equation: Localized modes in multi-stacked long Josephson junctions
- High-sensitivity on-chip temperature sensor based on cascaded microring resonators
- Pathological study on uncertain numbers and proposed solutions for discrete fuzzy fractional order calculus
- Bifurcation, chaotic behavior, and traveling wave solution of stochastic coupled Konno–Oono equation with multiplicative noise in the Stratonovich sense
- Thermal radiation and heat generation on three-dimensional Casson fluid motion via porous stretching surface with variable thermal conductivity
- Numerical simulation and analysis of Airy's-type equation
- A homotopy perturbation method with Elzaki transformation for solving the fractional Biswas–Milovic model
- Heat transfer performance of magnetohydrodynamic multiphase nanofluid flow of Cu–Al2O3/H2O over a stretching cylinder
- ΛCDM and the principle of equivalence
- Axisymmetric stagnation-point flow of non-Newtonian nanomaterial and heat transport over a lubricated surface: Hybrid homotopy analysis method simulations
- HAM simulation for bioconvective magnetohydrodynamic flow of Walters-B fluid containing nanoparticles and microorganisms past a stretching sheet with velocity slip and convective conditions
- Coupled heat and mass transfer mathematical study for lubricated non-Newtonian nanomaterial conveying oblique stagnation point flow: A comparison of viscous and viscoelastic nanofluid model
- Power Topp–Leone exponential negative family of distributions with numerical illustrations to engineering and biological data
- Extracting solitary solutions of the nonlinear Kaup–Kupershmidt (KK) equation by analytical method
- A case study on the environmental and economic impact of photovoltaic systems in wastewater treatment plants
- Application of IoT network for marine wildlife surveillance
- Non-similar modeling and numerical simulations of microploar hybrid nanofluid adjacent to isothermal sphere
- Joint optimization of two-dimensional warranty period and maintenance strategy considering availability and cost constraints
- Numerical investigation of the flow characteristics involving dissipation and slip effects in a convectively nanofluid within a porous medium
- Spectral uncertainty analysis of grassland and its camouflage materials based on land-based hyperspectral images
- Application of low-altitude wind shear recognition algorithm and laser wind radar in aviation meteorological services
- Investigation of different structures of screw extruders on the flow in direct ink writing SiC slurry based on LBM
- Harmonic current suppression method of virtual DC motor based on fuzzy sliding mode
- Micropolar flow and heat transfer within a permeable channel using the successive linearization method
- Different lump k-soliton solutions to (2+1)-dimensional KdV system using Hirota binary Bell polynomials
- Investigation of nanomaterials in flow of non-Newtonian liquid toward a stretchable surface
- Weak beat frequency extraction method for photon Doppler signal with low signal-to-noise ratio
- Electrokinetic energy conversion of nanofluids in porous microtubes with Green’s function
- Examining the role of activation energy and convective boundary conditions in nanofluid behavior of Couette-Poiseuille flow
- Review Article
- Effects of stretching on phase transformation of PVDF and its copolymers: A review
- Special Issue on Transport phenomena and thermal analysis in micro/nano-scale structure surfaces - Part IV
- Prediction and monitoring model for farmland environmental system using soil sensor and neural network algorithm
- Special Issue on Advanced Topics on the Modelling and Assessment of Complicated Physical Phenomena - Part III
- Some standard and nonstandard finite difference schemes for a reaction–diffusion–chemotaxis model
- Special Issue on Advanced Energy Materials - Part II
- Rapid productivity prediction method for frac hits affected wells based on gas reservoir numerical simulation and probability method
- Special Issue on Novel Numerical and Analytical Techniques for Fractional Nonlinear Schrodinger Type - Part III
- Adomian decomposition method for solution of fourteenth order boundary value problems
- New soliton solutions of modified (3+1)-D Wazwaz–Benjamin–Bona–Mahony and (2+1)-D cubic Klein–Gordon equations using first integral method
- On traveling wave solutions to Manakov model with variable coefficients
- Rational approximation for solving Fredholm integro-differential equations by new algorithm
- Special Issue on Predicting pattern alterations in nature - Part I
- Modeling the monkeypox infection using the Mittag–Leffler kernel
- Spectral analysis of variable-order multi-terms fractional differential equations
- Special Issue on Nanomaterial utilization and structural optimization - Part I
- Heat treatment and tensile test of 3D-printed parts manufactured at different build orientations