Abstract— In this work, a novel pseudorandom algorithm for generating in-silico biomimetic models of caudal fins for additive manufacturing for flexible materials is presented. The methodology provides a tool to develop caudal fin models for different morphologies (within rounded, truncated, forked and lunated), geometrical features and, considering randomness to improve the lifelikeness of the model. The algorithm’s capability to generate designs with customized hydrodynamic features was evaluated in-silico using computational fluid dynamics comparing the maximum velocity and the angle of attack. Numerical data shows that customization of key dimensional can be integrated into a flexible and dynamic design process. This capability is a step forward to emulate the robustness and adaptative nature of evolution.  
 
Index Terms—generative design, parametric design, biomimetic, underwater vehicle, visual programming language, additive manufacturing

Cite: Biali F. Lima Rodríguez, Edisson A. Naula, Ciro A. Rodríguez, and J. Israel Martínez López, "Parametric Modelling of Biomimetic Propulsion Systems for Underwater Vehicles," International Journal of Mechanical Engineering and Robotics Research, Vol. 11, No. 3, pp. 174-180, March 2022. DOI: 10.18178/ijmerr.11.3.174-180

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.