Details
| Original language | English |
|---|---|
| Article number | 097001 |
| Journal | Measurement science and technology |
| Volume | 27 |
| Issue number | 9 |
| Publication status | Published - 25 Jul 2016 |
Abstract
Engine component defects along the hot-gas path (HGP) of jet engines influence the density distribution of the flow, and thus result in characteristic patterns in the exhaust jet. These characteristic patterns can be reconstructed with the optical background-oriented schlieren (BOS) method in a tomographic set-up, which in turn allows the identification of defects inside the engine through an exhaust jet analysis. The quality of the tomographic reconstruction strongly influences how easily defects can be detected inside the jet engine. In particular, the presence of high gradients in the reconstruction area has a strong impact on the reconstruction quality. An algebraic reconstruction algorithm (ART) is implemented and compared to a filtered-back projection (FBP) algorithm in terms of the capability of performing high-gradient tomographic BOS reconstructions. A combination of both algorithms is presented which significantly improves the reconstruction quality of high-gradient tomographic BOS in terms of artifact reduction. The combination of both algorithms is applied to both synthetic and real measurement data in this paper, in order to show possible applications and the achievable improvement of high-gradient tomographic BOS reconstructions.
Keywords
- algebraic reconstruction algorithm, background-oriented schlieren, tomography
ASJC Scopus subject areas
- Physics and Astronomy(all)
- Instrumentation
- Engineering(all)
- Engineering (miscellaneous)
- Mathematics(all)
- Applied Mathematics
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In: Measurement science and technology, Vol. 27, No. 9, 097001, 25.07.2016.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Combining ART and FBP for improved fidelity of tomographic BOS
AU - Hartmann, Ulrich
AU - Seume, Joerg R.
N1 - Funding information: The paper presents results of the Collaborative Research Centre 871 'Regeneration of Complex Capital Goods', subproject A3 'Evaluation of the Condition of a Jet Engine through Exhaust Jet Analysis', which is funded by the German Research Foundation (DFG).
PY - 2016/7/25
Y1 - 2016/7/25
N2 - Engine component defects along the hot-gas path (HGP) of jet engines influence the density distribution of the flow, and thus result in characteristic patterns in the exhaust jet. These characteristic patterns can be reconstructed with the optical background-oriented schlieren (BOS) method in a tomographic set-up, which in turn allows the identification of defects inside the engine through an exhaust jet analysis. The quality of the tomographic reconstruction strongly influences how easily defects can be detected inside the jet engine. In particular, the presence of high gradients in the reconstruction area has a strong impact on the reconstruction quality. An algebraic reconstruction algorithm (ART) is implemented and compared to a filtered-back projection (FBP) algorithm in terms of the capability of performing high-gradient tomographic BOS reconstructions. A combination of both algorithms is presented which significantly improves the reconstruction quality of high-gradient tomographic BOS in terms of artifact reduction. The combination of both algorithms is applied to both synthetic and real measurement data in this paper, in order to show possible applications and the achievable improvement of high-gradient tomographic BOS reconstructions.
AB - Engine component defects along the hot-gas path (HGP) of jet engines influence the density distribution of the flow, and thus result in characteristic patterns in the exhaust jet. These characteristic patterns can be reconstructed with the optical background-oriented schlieren (BOS) method in a tomographic set-up, which in turn allows the identification of defects inside the engine through an exhaust jet analysis. The quality of the tomographic reconstruction strongly influences how easily defects can be detected inside the jet engine. In particular, the presence of high gradients in the reconstruction area has a strong impact on the reconstruction quality. An algebraic reconstruction algorithm (ART) is implemented and compared to a filtered-back projection (FBP) algorithm in terms of the capability of performing high-gradient tomographic BOS reconstructions. A combination of both algorithms is presented which significantly improves the reconstruction quality of high-gradient tomographic BOS in terms of artifact reduction. The combination of both algorithms is applied to both synthetic and real measurement data in this paper, in order to show possible applications and the achievable improvement of high-gradient tomographic BOS reconstructions.
KW - algebraic reconstruction algorithm
KW - background-oriented schlieren
KW - tomography
UR - http://www.scopus.com/inward/record.url?scp=84985961566&partnerID=8YFLogxK
U2 - 10.1088/0957-0233/27/9/097001
DO - 10.1088/0957-0233/27/9/097001
M3 - Article
AN - SCOPUS:84985961566
VL - 27
JO - Measurement science and technology
JF - Measurement science and technology
SN - 0957-0233
IS - 9
M1 - 097001
ER -