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Reliability-based design optimization of a pick-up device of a manganese nodule pilot mining robot using the Coandă effect

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Abstract

Design of a pick-up device using the Coandă effect in a deep-sea mining robot is vital to develop a reliable and sustainable deep-sea mining system. One of the crucial performance metrics of this device is the collection efficiency since it affects the mining efficiency of the entire system. However, the collection efficiency is significantly affected by the uncertainties of shape, size and mass of manganese nodules on the seabed. In this study, reliability-based design optimization (RBDO) was performed to improve the reliability of the collection efficiency of the pick-up device under these environmental uncertainties. First, a computational model based on the Coandă effect that predicts the collection efficiency of the pick-up device was developed. Next, RBDO based on the Akaike information criterion method was employed to design the pick-up device by using this model. The results demonstrated that the proposed design methodology significantly improved the design of the pick-up device for the pilot mining robot.

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Acknowledgements

This research was supported by a grant from the national R&D project of “Development of the Sea Test and Evaluation Technology for Marine System” funded by the Ministry of Oceans and Fisheries, Korea (PMS4090).

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Authors and Affiliations

  1. Department of Automotive Engineering, Hanyang University, Seoul, 04763, Korea

    Saekyeol Kim, Jihoon Kim, Tae Hee Lee & Sanghyun Park

  2. Korea Research Institute of Ships and Ocean Engineering, Daejeon, 34103, Korea

    Su-gil Cho, Sanghyun Park, Sup Hong, Hyung-Woo Kim, Cheon-Hong Min & Jong-Su Choi

  3. Strategic Technique Dev. Center, Virtual Motion, Seoul, 06632, Korea

    Minuk Lee

  4. Marine Resources Research Division, Korea Institute of Ocean Science and Technology, Busan, 49111, Korea

    Young-Tak Ko & Sang-Bum Chi

Authors
  1. Saekyeol Kim
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  2. Su-gil Cho
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  3. Minuk Lee
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  4. Jihoon Kim
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  7. Sup Hong
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Corresponding author

Correspondence to Tae Hee Lee.

Additional information

Recommended by Guest Editor Maenghyo Cho.

Saekyeol Kim received B.S. in Mechanical Engineering and M.S. in Automotive Engineering at the Hanyang University, Seoul, Korea, in 2014 and 2016, respectively, where he is currently working toward the Ph.D. degree in Automotive Engineering. His research interests include design optimization, reliability-based design optimization, surrogate modeling, uncertainty quantification, statistical model calibration and validation.

Tae Hee Lee is a Professor at the Department of Automotive Engineering, Hanyang University. He serves as the Executive Vice President of KSCM, General Council of IACM and Executive Committee of ASSMO. He received Awards for Academic Excellence in Mechanical Engineering (2013) and in CAE and Applied Mechanics (2016) from KSME, and KSCM Computational Mechanics Award (2018). He was a plenary lecturer of CJK-OSM 8 (2014), semi-plenary lecturer of WCCM XII (2016), and plenary lecturer of KSCM (2018). His research interests include design optimization, design under uncertainty, surrogate model-based optimization, design and analysis of computer experiments, and data-driven design.

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Kim, S., Cho, Sg., Lee, M. et al. Reliability-based design optimization of a pick-up device of a manganese nodule pilot mining robot using the Coandă effect. J Mech Sci Technol 33, 3665–3672 (2019). https://doi.org/10.1007/s12206-019-0707-1

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  • DOI: https://doi.org/10.1007/s12206-019-0707-1

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