Youngmin Kim

Youngmin Kim


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 September 2022 in Applied Sciences
Verified
Journal Article
Open access
PDF file
Quang Dao Vuong QuangQuang Dao Vuong Quang
Quang Dao Vuong Quang
Jiwoong LeeJiwoong Lee
Jiwoong Lee
WLWon-Ju Lee
Won-Ju Lee
HCHyejin Choi
Hyejin Choi
KSKanghyun Seo
Kanghyun Seo
Jae-ung LeeJae-ung Lee
Jae-ung Lee
The measurement of shaft bending (whirling) moment can be performed via a telemetry system including strain gauges which can obtain the bending stress. By using a single bridge of strain gauge, it was possible to obtain only the nominal bending moment. However, in case of the propeller shaft vibration measurement, the true dynamic bending moment is needed to evaluate the effect of propeller forces on the stability of the bearings. To deal with this, typically two bridges of strain gauge at 90 degrees are needed. This research presents a novel reliability assessment method in establishing the true dynamic bending moment using only one bridge of strain gauge. This is achieved by using the actual bending stress measured by strain gauge combined with its own phase lag stress at an angle of 90 degrees. To validate this technique, the experiments were performed under the rapid turning transient states during a sea trial of a 50,000 DWT oil/chemical tanker. As a result, great fluctuations in propeller force were detected, resulting in a non-uniform oil film in the bearings. The displacement sensor was also installed and confirmed the established true dynamic bending moment.

22 August 2024 in Applied Sciences
Verified
Journal Article
Open access
PDF file
Quang Dao Vuong QuangQuang Dao Vuong Quang
Quang Dao Vuong Quang
KSKanghyun Seo
Kanghyun Seo
HCHyejin Choi
Hyejin Choi
YKYoungmin Kim
Youngmin Kim
Jiwoong LeeJiwoong Lee
Jiwoong Lee
Jae-ung LeeJae-ung Lee
Jae-ung Lee
This study aimed to enhance the data write performance in measurements with exceptionally high sampling rates, such as acoustic emission measurements. This is particularly crucial when employing conventional hard disk drives to store data. This study introduced algorithms for handling binary formats, thereby reducing the data file size, increasing write rates, and ultimately shortening data write times during measurements. The suggested approaches included utilizing specialized binary formats and implementing self-created buffers. These approaches resulted in a remarkable write time reduction of up to 40×. Furthermore, employing multiple drives for writing significantly enhanced performance compared with that of using a single drive. Therefore, the proposed algorithms offer promising results for managing large amounts of data in real time.