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Article

Design and Computational Analyses of Nature Inspired Unmanned Amphibious Vehicle for Deep Sea Mining

by
Vijayanandh Raja
1,
Senthil Kumar Solaiappan
1,
Lokeshkumar Kumar
1,
Arishwaran Marimuthu
1,
Raj Kumar Gnanasekaran
1 and
Yosoon Choi
2,*
1
Department of Aeronautical Engineering, Kumaraguru College of Technology, Coimbatore 641049, Tamil Nadu, India
2
Department of Energy Resources Engineering, Pukyong National University, Busan 48513, Korea
*
Author to whom correspondence should be addressed.
Minerals 2022, 12(3), 342; https://doi.org/10.3390/min12030342
Submission received: 22 January 2022 / Revised: 6 March 2022 / Accepted: 7 March 2022 / Published: 10 March 2022

Abstract

This paper presents the design calculations, implementations, and multi-engineering based computational constructions of an unmanned amphibious vehicle (UAmV) which efficiently travels underwater to detect and collect deep-sea minerals for investigations, as well as creative usage purposes. The UAmV is expected to operate at a 300 m depth from the water surface. The UAmV is deployed above the water surface near to the approximate target location and swims underwater, checking the presence of various mining, then extracts them using a unique mechanism and stores them in an inimitable fuselage location. Since this proposed UAmV survives in deep-sea regions, the design construction of this UAmV is inspired by hydrodynamic efficient design-based fish, i.e., Rhinaancylostoma. Additionally, standard analytical approaches are followed and, subsequently, the inimitable components such as wing, stabilizers, propellers, and mining storage focused fuselage are calculated. The computational analyses such as hydrodynamic investigations and vibrational investigations were carried out with the help of ANSYS Workbench. The hydrodynamic pressures at various deployment regions were estimated and thereafter the vibrational outcomes of UAmVs were captured for various lightweight materials. The computed outcomes were imposed in the analytical approach and thereby the electrical energy generations by the UAmV’s components were calculated. Finally, the hydrodynamic efficient design and best material were picked, which provided a path to further works on the execution of the focused mission. Based on the low drag generating design profile and high electrical energy induction factors, the optimizations were executed on this work, and thus the needful, as well as suitable UAmV, was finalized for targeted real-time applications.
Keywords: CFD; flexible fuselage; oceanic environments; piezoelectric; polymetallic nodules; Rhinaancylostoma; seabed; unmanned amphibious vehicles; vibrations CFD; flexible fuselage; oceanic environments; piezoelectric; polymetallic nodules; Rhinaancylostoma; seabed; unmanned amphibious vehicles; vibrations

Share and Cite

MDPI and ACS Style

Raja, V.; Solaiappan, S.K.; Kumar, L.; Marimuthu, A.; Gnanasekaran, R.K.; Choi, Y. Design and Computational Analyses of Nature Inspired Unmanned Amphibious Vehicle for Deep Sea Mining. Minerals 2022, 12, 342. https://doi.org/10.3390/min12030342

AMA Style

Raja V, Solaiappan SK, Kumar L, Marimuthu A, Gnanasekaran RK, Choi Y. Design and Computational Analyses of Nature Inspired Unmanned Amphibious Vehicle for Deep Sea Mining. Minerals. 2022; 12(3):342. https://doi.org/10.3390/min12030342

Chicago/Turabian Style

Raja, Vijayanandh, Senthil Kumar Solaiappan, Lokeshkumar Kumar, Arishwaran Marimuthu, Raj Kumar Gnanasekaran, and Yosoon Choi. 2022. "Design and Computational Analyses of Nature Inspired Unmanned Amphibious Vehicle for Deep Sea Mining" Minerals 12, no. 3: 342. https://doi.org/10.3390/min12030342

APA Style

Raja, V., Solaiappan, S. K., Kumar, L., Marimuthu, A., Gnanasekaran, R. K., & Choi, Y. (2022). Design and Computational Analyses of Nature Inspired Unmanned Amphibious Vehicle for Deep Sea Mining. Minerals, 12(3), 342. https://doi.org/10.3390/min12030342

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