Analysing cutting dynamics and mechanism design for AUVs navigating flexible fishing net hazards

References

• Atkins AG, Mai Y-W. 1985. Elastic and plastic fracture: metals, polymers, ceramics, composites, biological materials. Chichester: Ellis Horwood.
   Google Scholar
• Atkins AG, Xu X, Jeronimidis G. 2004. Cutting, by ‘pressing and slicing,’ of thin floppy slices of materials illustrated by experiments on cheddar cheese and salami. J Mater Sci. 39:2761–2766. doi:10.1023/B:JMSC.0000021451.17182.86.
   Web of Science ®Google Scholar
• Bremer F, Matthiesen S. 2020. A review of research relating to food slicing in industrial applications. J Food Eng. 268. doi:10.1016/j.jfoodeng.2019.109735.
   Web of Science ®Google Scholar
• Chanthasopeephan T, Desai JP, Lau ACW. 2007. Modeling soft-tissue deformation prior to cutting for surgical simulation: finite element analysis and study of cutting parameters. IEEE Trans Biomed Eng. 54:349–359. doi:10.1109/TBME.2006.886937.
   PubMed Web of Science ®Google Scholar
• Cho DO. 2005. Challenges to marine debris management in Korea. Coast Manag. 33:389–409. doi:10.1080/08920750500217559.
   Web of Science ®Google Scholar
• Chu JP, Bönninghoff N, Yu CC, Liu YK, Chiang GH. 2019. Coating needles with metallic glass to overcome fracture toughness and trauma: analysis on porcine tissue and polyurethane rubber. Thin Solid Films. 688:31.
   Web of Science ®Google Scholar
• Chu JP, Diyatmika W, Tseng YJ, Liu YK, Liao WC, Chang SH, Chen MJ, Lee JW, Jang JSC. 2019. Coating cutting blades with thin-film metallic glass to enhance sharpness. Sci Rep. 29:9.
   Google Scholar
• Debao Z, Claffee MR, Kok-Meng L, McMurray GV. 2006. Cutting, ‘by pressing and slicing’, applied to the robotic cut of bio-materials. II. Force during slicing and pressing cuts. Proceedings of the Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006 ICRA 2006; 2006 15–19 May 2006.
   Google Scholar
• Donohue MJ, Boland RC, Sramek CM, Antonelis GA. 2001. Derelict fishing gear in the Northwestern Hawaiian Islands: diving surveys and debris removal in 1999 confirm threat to coral reef ecosystems. Mar Pollut Bull. 42:1301–1312. doi:10.1016/S0025-326X(01)00139-4.
   PubMed Web of Science ®Google Scholar
• Gao LY, Zhang QH, Liu M. 2012. Orthogonal cutting of biological soft tissue with single cutting edge. frontiers of manufacturing and design science II, PTS 1-6.
   Google Scholar
• Heshmati-alamdari S, Karras GC, Kyriakopoulos KJ. 2019. A distributed predictive control approach for cooperative manipulation of multiple underwater vehicle manipulator systems. 2019 International Conference on Robotics and Automation (ICRA). IEEE.
   Google Scholar
• Hong S, Lee J, Lim S. 2017. Navigational threats by derelict fishing gear to navy ships in the Korean seas. Mar Pollut Bull. 119:100–105. doi:10.1016/j.marpolbul.2017.04.006.
   PubMed Web of Science ®Google Scholar
• Hu Z, Lin W, Xu X. 2016. Experimental study on the cutting characteristics of three typical biological soft tissues. J Mech Eng. 52:186–192. doi:10.3901/JME.2016.11.186.
   Google Scholar
• Hu Z, Zhang B. 2011. Modeling of soft tissue cutting process. China Mech Eng. 22:2043–2047, 2060..
   Google Scholar
• Hu ZW, Zhang B, Sun W. 2012. Cutting characteristics of biological soft tissues. Cirp Ann Manuf Technol. 61:135–138. doi:10.1016/j.cirp.2012.03.079.
   Web of Science ®Google Scholar
• Huang H, Tang QR, Li HW, Liang L, Li WP, Pang YJ. 2017. Vehicle-manipulator system dynamic modeling and control for underwater autonomous manipulation. Multibody Syst Dyn. 41:125–147. doi:10.1007/s11044-016-9538-3.
   Web of Science ®Google Scholar
• Huang H, Zhou ZX, Li JY, Tang QR, Zhang WL, Gang W. 2019. Investigation on the mechanical design and manipulation hydrodynamics for a small sized, single body and streamlined I-AUV. Ocean Eng. 186:15.
   Web of Science ®Google Scholar
• Iñiguez ME, Conesa JA, Fullana A. 2016. Marine debris occurrence and treatment: a review. Renew Sustain Energy Rev. 64:394–402. doi:10.1016/j.rser.2016.06.031.
   Web of Science ®Google Scholar
• Kwon WS, Vuong QD, Choi JH, Lee JU, Lee JW, Yoon SH, Nyongesa AJ, Park MH, Yang SK, Lee WJ. 2022. Study on the propeller rope cutter concerning transient torsional vibration due to cutting action. Appl Sci-Basel. 12.
   Web of Science ®Google Scholar
• Lee W-J, Ho KJ, Jang S-h, Lee K-W, Kim B-Y, Lee W-K, Rho B-S, Kim J-S, Hyuk CJ. 2018. A study on safety and performance of rope cutter for ship’s propeller. J Korean Soc Mar Enviro Saf. 24:475–481. doi:10.7837/kosomes.2018.24.4.475.
   Google Scholar
• Li HF, Duan QQ, Zhang P, Qu RT, Zhang ZF. 2019. A new method to estimate the plane strain fracture toughness of materials. Fatigue Fract Eng Mater Struct. 42:415–424. doi:10.1111/ffe.12919.
   Web of Science ®Google Scholar
• Marsavina L, Linul E. 2020. Fracture toughness of rigid polymeric foams: a review. Fatigue Fract Eng Mater Struct. 43:2483–2514. doi:10.1111/ffe.13327.
   Web of Science ®Google Scholar
• McCarthy CT, Hussey M, Gilchrist MD. 2007. On the sharpness of straight edge blades in cutting soft solids: part I – indentation experiments. Eng Fract Mech. 74:2205–2224. doi:10.1016/j.engfracmech.2006.10.015.
   Web of Science ®Google Scholar
• Mohan S, Kim J. 2015. Coordinated motion control in task space of an autonomous underwater vehicle-manipulator system. Ocean Eng. 104:155–167. doi:10.1016/j.oceaneng.2015.05.011.
   Web of Science ®Google Scholar
• Mun D, Tae CY. 2020. A short review on the mechanical and thermal processes for underwater cutting of metal structures. J Korean Soc Manuf Process Eng. 19:121–133.
   Google Scholar
• Paik KJ, Hwang S, Jung J, Lee T, Lee YY, Ahn H, Van SH. 2015. Investigation on the wake evolution of contra-rotating propeller using RANS computation and SPIV measurement. Int J Nav Archit Ocean Eng. 7:595–609. doi:10.1515/ijnaoe-2015-0042.
   Web of Science ®Google Scholar
• Pokhrel S, Alsadoon A, Prasad PWC, Paul M. 2019. A novel augmented reality (AR) scheme for knee replacement surgery by considering cutting error accuracy. Int J Med Robot Comput Assist Surg. 15. doi:10.1002/rcs.1958.
   PubMed Web of Science ®Google Scholar
• Reyssat E, Tallinen T, Le Merrer M, Mahadevan L. 2012. Slicing softly with shear. Phys Rev Lett. 109. doi:10.1103/PhysRevLett.109.244301.
   PubMed Web of Science ®Google Scholar
• Ridao P, Carreras M, Ribas D, Sanz PJ, Oliver G. 2015. Intervention AUVs: the next challenge. Ann Rev Control. 40:227–241. doi:10.1016/j.arcontrol.2015.09.015.
   Web of Science ®Google Scholar
• Simonsen CD, Stern F. 2005. RANS maneuvering simulation of Esso Osaka with rudder and a body-force propeller. J Ship Res. 49:98–120. doi:10.5957/jsr.2005.49.2.98.
   Web of Science ®Google Scholar
• Su N, Wang JB, Zeng C, Zhang H, Lin M, Li GY. 2022. Unmanned-surface-vehicle-aided maritime data collection using deep reinforcement learning. IEEE Internet Things J. 9:19773–19786. doi:10.1109/JIOT.2022.3168589.
   Web of Science ®Google Scholar
• Wang MN, Ma YZ. 2018. A review of virtual cutting methods and technology in deformable objects. Int J Med Robot Compu Assist Surgy. 14.
   Web of Science ®Google Scholar
• Xia GQ, Sun XX, Xia XM. 2021. Multiple task assignment and path planning of a multiple unmanned surface vehicles system based on improved self-organizing mapping and improved genetic algorithm. J Mar Sci Eng. 9.
   Web of Science ®Google Scholar
• Xin JF, Zhong JB, Sheng JL, Li PH, Cui Y. 2019. Improved Genetic algorithms based on data-driven operators for path planning of unmanned surface vehicle. Int J Robot Autom. 34:713–722.
   Web of Science ®Google Scholar
• Xu WD, Wang JY, Deng Y, Li JH, Yan TY, Zhao SA, Yang XL, Xu EB, Wang WJ, Liu DH. 2022. Advanced cutting techniques for solid food: mechanisms, applications, modeling approaches, and future perspectives. Compr Rev Food Sci Food Saf. 21:1568–1597. doi:10.1111/1541-4337.12896.
   PubMed Web of Science ®Google Scholar
• Zhang JX, Li BR, Wu YZ, Yang G, Lei L. 2023. A controllable main wing module design and working strategy for a water-jet hybrid underwater glider. Ocean Eng. 1:287.
   Google Scholar
• Zhang XR, Duan JL, Sun W, Xu T, Jha SK. 2021. A three-stage cutting simulation system based on mass-spring model. CMES-Comput Model Eng Sci. 127:117–133.
   Web of Science ®Google Scholar
• Zhang Y, Wang CY, Zhou SB, Jiang WT, Liu ZH, Xu LL. 2017. A comparison review on orthopedic surgery using piezosurgery and conventional tools. 3rd CIRP Conference On Biomanufacturing.
   Google Scholar
• Zhang YM, Feng L, Zhang LD, Wang LS, Dong SL, Gao QF, Hu XT, Li J. 2024. A study of tension and deformation of flexible net under the action of current. Sh Offshore Struct. 19(2):27–44. doi:10.1080/17445302.2022.2140532.
   Google Scholar
• Zhao L, Bai Y. 2023. Data harvesting in uncharted waters: interactive learning empowered path planning for USV-assisted maritime data collection under fully unknown environments. Ocean Eng. 287:115781. doi:10.1016/j.oceaneng.2023.115781.
   Web of Science ®Google Scholar
• Zhao L, Bai Y. 2024. Unlocking the ocean 6G: a review of path-planning techniques for maritime data harvesting assisted by autonomous marine vehicles. J Mar Sci Eng. 12.
   Web of Science ®Google Scholar
• Zhao L, Bai Y, Paik JK. 2023a. Achieving optimal-dynamic path planning for unmanned surface vehicles: a rational multi-objective approach and a sensory-vector re-planner. Ocean Eng. 286:15.
   Web of Science ®Google Scholar
• Zhao L, Bai Y, Paik JK. 2023b. Global path planning and waypoint following for heterogeneous unmanned surface vehicles assisting inland water monitoring. J Ocean Eng Sci.
   Google Scholar
• Zhao L, Bai Y, Paik JK. 2024. Optimal coverage path planning for USV-assisted coastal bathymetric survey: models, solutions, and lake trials. Ocean Eng. 296:116921. doi:10.1016/j.oceaneng.2024.116921.
   Web of Science ®Google Scholar
• Zhou ZY, Liu JC, Yu JZ. 2022. A survey of underwater multi-robot systems. IEEE/CAA J Autom Sin. 9:1–18. doi:10.1109/JAS.2021.1004269.
   Google Scholar
• Zou DL, Zhang JB, Ta N, Rao ZS. 2017. The hydroelastic analysis of marine propellers with consideration of the effect of the shaft. Ocean Eng. 131:95–106. doi:10.1016/j.oceaneng.2016.12.032.
   Web of Science ®Google Scholar