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Subsurface Corrosion Imaging System Based on LASER Generated Acoustic (LGA)

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@article{IJASEIT2816,
   author = {Andreas Setiawan and Gede Bayu Suparta and Mitrayana Mitrayana and Waskito Nugroho},
   title = {Subsurface Corrosion Imaging System  Based on LASER Generated Acoustic (LGA)},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {7},
   number = {6},
   year = {2017},
   pages = {2189--2196},
   keywords = {laser-generated acoustic; photoacoustic imaging; subsurface corrosion},
   abstract = {Corrosion process might occur over or beneath the surface of a material. Under-the-surface corrosion is more dangerous than other types as it is visually hidden. This research develops an imaging system to detect crevices resulting from subsurface corrosion. The system is built with a laser-generated acoustic (LGA) method, – using photoacoustic phenomena to generate acoustic waves from a laser and material interaction process, to construct a subsurface image of a metal. Though optical actuator is used, deeper penetration is achieved in the acoustic wave sensing, causing a change of intensity of the waves as they pass corrosion crevices. Measurement of the acoustic wave’s intensity is used to construct LGA image illustrating the subsurface condition of an object. There are three main components of the device, which are a laser, a microphone and a data processor. The laser beam is modulated and exposed to an object to create thermal contraction. The microphone records acoustic waves generated in the process and the data processor analyses the result. Comprehensive measurement is done over the entire surface of the object to create 2-dimensional  images. This research reports an experimental result of the imaging system on an object with subsurface corrosion crevices. LGA’s images produced showed reasonably clear evolution process of the corrosion. In the experiment, the crevices emerge at 230µm depth were detected in the first 5 hours of the corrosion process. An advance analysis showed that the LGA images produced were able to show the evolution process of the shape of the crevices during corrosion. A mathematical model, based on acoustic transmission intensity equation, is designed to further examine the LGA image resulting in a curve which fits the measurement result with MAPE 12% difference.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2816},
   doi = {10.18517/ijaseit.7.6.2816}
}

EndNote

%A Setiawan, Andreas
%A Suparta, Gede Bayu
%A Mitrayana, Mitrayana
%A Nugroho, Waskito
%D 2017
%T Subsurface Corrosion Imaging System  Based on LASER Generated Acoustic (LGA)
%B 2017
%9 laser-generated acoustic; photoacoustic imaging; subsurface corrosion
%! Subsurface Corrosion Imaging System  Based on LASER Generated Acoustic (LGA)
%K laser-generated acoustic; photoacoustic imaging; subsurface corrosion
%X Corrosion process might occur over or beneath the surface of a material. Under-the-surface corrosion is more dangerous than other types as it is visually hidden. This research develops an imaging system to detect crevices resulting from subsurface corrosion. The system is built with a laser-generated acoustic (LGA) method, – using photoacoustic phenomena to generate acoustic waves from a laser and material interaction process, to construct a subsurface image of a metal. Though optical actuator is used, deeper penetration is achieved in the acoustic wave sensing, causing a change of intensity of the waves as they pass corrosion crevices. Measurement of the acoustic wave’s intensity is used to construct LGA image illustrating the subsurface condition of an object. There are three main components of the device, which are a laser, a microphone and a data processor. The laser beam is modulated and exposed to an object to create thermal contraction. The microphone records acoustic waves generated in the process and the data processor analyses the result. Comprehensive measurement is done over the entire surface of the object to create 2-dimensional  images. This research reports an experimental result of the imaging system on an object with subsurface corrosion crevices. LGA’s images produced showed reasonably clear evolution process of the corrosion. In the experiment, the crevices emerge at 230µm depth were detected in the first 5 hours of the corrosion process. An advance analysis showed that the LGA images produced were able to show the evolution process of the shape of the crevices during corrosion. A mathematical model, based on acoustic transmission intensity equation, is designed to further examine the LGA image resulting in a curve which fits the measurement result with MAPE 12% difference.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2816
%R doi:10.18517/ijaseit.7.6.2816
%J International Journal on Advanced Science, Engineering and Information Technology
%V 7
%N 6
%@ 2088-5334

IEEE

Andreas Setiawan,Gede Bayu Suparta,Mitrayana Mitrayana and Waskito Nugroho,"Subsurface Corrosion Imaging System  Based on LASER Generated Acoustic (LGA)," International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 6, pp. 2189-2196, 2017. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.7.6.2816.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Setiawan, Andreas
AU  - Suparta, Gede Bayu
AU  - Mitrayana, Mitrayana
AU  - Nugroho, Waskito
PY  - 2017
TI  - Subsurface Corrosion Imaging System  Based on LASER Generated Acoustic (LGA)
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 7 (2017) No. 6
Y2  - 2017
SP  - 2189
EP  - 2196
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - laser-generated acoustic; photoacoustic imaging; subsurface corrosion
N2  - Corrosion process might occur over or beneath the surface of a material. Under-the-surface corrosion is more dangerous than other types as it is visually hidden. This research develops an imaging system to detect crevices resulting from subsurface corrosion. The system is built with a laser-generated acoustic (LGA) method, – using photoacoustic phenomena to generate acoustic waves from a laser and material interaction process, to construct a subsurface image of a metal. Though optical actuator is used, deeper penetration is achieved in the acoustic wave sensing, causing a change of intensity of the waves as they pass corrosion crevices. Measurement of the acoustic wave’s intensity is used to construct LGA image illustrating the subsurface condition of an object. There are three main components of the device, which are a laser, a microphone and a data processor. The laser beam is modulated and exposed to an object to create thermal contraction. The microphone records acoustic waves generated in the process and the data processor analyses the result. Comprehensive measurement is done over the entire surface of the object to create 2-dimensional  images. This research reports an experimental result of the imaging system on an object with subsurface corrosion crevices. LGA’s images produced showed reasonably clear evolution process of the corrosion. In the experiment, the crevices emerge at 230µm depth were detected in the first 5 hours of the corrosion process. An advance analysis showed that the LGA images produced were able to show the evolution process of the shape of the crevices during corrosion. A mathematical model, based on acoustic transmission intensity equation, is designed to further examine the LGA image resulting in a curve which fits the measurement result with MAPE 12% difference.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2816
DO  - 10.18517/ijaseit.7.6.2816

RefWorks

RT Journal Article
ID 2816
A1 Setiawan, Andreas
A1 Suparta, Gede Bayu
A1 Mitrayana, Mitrayana
A1 Nugroho, Waskito
T1 Subsurface Corrosion Imaging System  Based on LASER Generated Acoustic (LGA)
JF International Journal on Advanced Science, Engineering and Information Technology
VO 7
IS 6
YR 2017
SP 2189
OP 2196
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 laser-generated acoustic; photoacoustic imaging; subsurface corrosion
AB Corrosion process might occur over or beneath the surface of a material. Under-the-surface corrosion is more dangerous than other types as it is visually hidden. This research develops an imaging system to detect crevices resulting from subsurface corrosion. The system is built with a laser-generated acoustic (LGA) method, – using photoacoustic phenomena to generate acoustic waves from a laser and material interaction process, to construct a subsurface image of a metal. Though optical actuator is used, deeper penetration is achieved in the acoustic wave sensing, causing a change of intensity of the waves as they pass corrosion crevices. Measurement of the acoustic wave’s intensity is used to construct LGA image illustrating the subsurface condition of an object. There are three main components of the device, which are a laser, a microphone and a data processor. The laser beam is modulated and exposed to an object to create thermal contraction. The microphone records acoustic waves generated in the process and the data processor analyses the result. Comprehensive measurement is done over the entire surface of the object to create 2-dimensional  images. This research reports an experimental result of the imaging system on an object with subsurface corrosion crevices. LGA’s images produced showed reasonably clear evolution process of the corrosion. In the experiment, the crevices emerge at 230µm depth were detected in the first 5 hours of the corrosion process. An advance analysis showed that the LGA images produced were able to show the evolution process of the shape of the crevices during corrosion. A mathematical model, based on acoustic transmission intensity equation, is designed to further examine the LGA image resulting in a curve which fits the measurement result with MAPE 12% difference.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2816
DO  - 10.18517/ijaseit.7.6.2816