Development of a circumferential-scanning tomography system for the measurement of 3-D plume distribution of the spacecraft plasma thrusters

Wang, Yan-Fei; Zhu, Xi-Ming; Jia, Jun-Wei; Zhang, Yuan-He; Liu, Chenguang; Ning, Zhiliang; Yu, Daren

doi:10.1016/j.measurement.2023.112966

Cited by 3 publications

(3 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, it is often necessary to use a regularization method to smooth the inversion space. The inversion method based on Radon transform has strict mathematical proof and the algebraic solution space is closed [19]. Radon transform can obtain more refined turbulence physics [19], but it has higher requirements on the number of cameras collected.…”

Section: Three-dimensional Reconstructionmentioning

confidence: 99%

“…The inversion method based on Radon transform has strict mathematical proof and the algebraic solution space is closed [19]. Radon transform can obtain more refined turbulence physics [19], but it has higher requirements on the number of cameras collected. Overall, these two types of methods need to involve four steps: a ray tracing algorithm in the flow field, a coordinate system transformation, inversion boundary conditions, and an algebraic solution model.…”

Section: Three-dimensional Reconstructionmentioning

confidence: 99%

“…However, a physical model for investigating the uncertainties of flame reconstruction induced by the time asynchrony is still lacking. This mainly originated from the vast computational consumption of forward ray tracing processes in the current 3D reconstruction algorithms, including the algebraic reconstruction technology [2,5,13] and Radon transform [19]. For example, a single 3D reconstruction calculation requires around 60 min [5].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Reconstruction Method of 3D Turbulent Flames by Background-Oriented Schlieren Tomography and Analysis of Time Asynchrony

Gao,

Zhang,

et al. 2023

Fire

View full text Add to dashboard Cite

Background-oriented Schlieren tomography (BOST) is widely used for 3D reconstruction of turbulent flames. Two major concerns are associated with 3D reconstruction. One is the time asynchrony within the data acquisition of the high-speed camera. The other is that the ray tracing process requires significant computational consumption. This study proposes a ray tracing optimization method based on the k-d tree. The study results show that the average search nodes for each ray are only 0.018% of 3D flame with 3.07 million grid nodes. In addition, a parameter estimation method of the unknown azimuth power spectrum function is proposed. First, a typical Sandia turbulent jet diffusion flame dataset was built and validated accordingly, with experiments. The algorithm’s applicability to the 3D reconstruction of temperature and density fields is discussed on this basis. The root-mean-square error (RMSE) of the cross-section density for 3D reconstruction is below 0.1 kg/m3. In addition, the RMSE of the cross-section temperature is below 270 K. Finally, an uncertainty analysis of the flame reconstruction based on a physical model is performed by optimizing the ray tracing method. For the time asynchronous variance of 1 ms, the density uncertainty of the 3D reconstruction is below 1.6 × 10−2 kg/m3, and the temperature uncertainty is below 70 K. The method can provide an essential basis for the design of BOST systems and the 3D reconstruction of turbulent flames.

show abstract

Section: Three-dimensional Reconstructionmentioning

confidence: 99%

Section: Three-dimensional Reconstructionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Reconstruction Method of 3D Turbulent Flames by Background-Oriented Schlieren Tomography and Analysis of Time Asynchrony

Gao,

Zhang,

et al. 2023

Fire

View full text Add to dashboard Cite

show abstract

Three-dimensional light intensity distribution reconstruction of argon ion in Helicon plasma source

Han,

Sun,

Gao

et al. 2024

Measurement

View full text Add to dashboard Cite

A xenon collisional-radiative model applicable to electric propulsion devices: III. Determination of the ionization fraction in low-temperature xenon plasma by using ionic and atomic 6p lines

Zhu,

Wang,

Meng

et al. 2023

Plasma Sources Sci. Technol.

Self Cite

View full text Add to dashboard Cite

The ionization fraction is a key figure of merit for optimizing the performance of plasma device. This work presents an optical emission spectroscopy (OES) method to determine the ionization fraction in low-temperature xenon plasma. The emission line-ratio of xenon ionic and atomic 6p-6s transitions is used in this method. A comprehensive collisional-radiative model developed in our previous work is employed to describe the relationship between the line-ratios and the plasma parameters. It is found that some special line-ratios have a sensitive relationship to the ionization fraction, e.g., the ratio of the 460.30-nm line and 828.01-nm lines. These line-ratios are selected for the diagnostic method. The method is demonstrated in a magnetized discharge chamber. The axially-resolved emission spectra of the ionization chamber are measured, and from those the ionization fraction along the chamber axis is determined via the OES method. The axially-resolved ionization fraction is found to be dependent on the magnetic field and agrees well with those obtained from a Langmuir probe. In the experiment, the probe is overheated under some conditions, possibly due to the bombardment by energetic particles. In this case, no results can be obtained from the probe, while the OES method can still obtain reasonable results. Combined with optical tomography and spectral imaging technology, the OES method can also provide the spatial distribution of the ionization fraction, which is needed for revealing the discharge mechanisms of plasma devices.

show abstract

Development of a circumferential-scanning tomography system for the measurement of 3-D plume distribution of the spacecraft plasma thrusters

Cited by 3 publications

References 71 publications

Reconstruction Method of 3D Turbulent Flames by Background-Oriented Schlieren Tomography and Analysis of Time Asynchrony

Reconstruction Method of 3D Turbulent Flames by Background-Oriented Schlieren Tomography and Analysis of Time Asynchrony

Three-dimensional light intensity distribution reconstruction of argon ion in Helicon plasma source

A xenon collisional-radiative model applicable to electric propulsion devices: III. Determination of the ionization fraction in low-temperature xenon plasma by using ionic and atomic 6p lines

Contact Info

Product

Resources

About