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Strain-based Cosserat Rod Model for Suspended Cable-Driven Parallel Robots in Construction 3D Printing
Author(s) -
Mrunal Kanti Mishra,
Anup Teejo Mathew,
Suad A. Alhaj Mustafa,
Ikhlas Ben Hmida,
Ahmed Nader Ahmed,
Abdur Rosyid,
Bashar El-Khasawneh,
Imran Afgan,
Federico Renda
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3620895
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Suspended Cable-Driven Parallel Robots (SCDPRs) are gaining prominence as scalable, cost-effective solutions for large-scale robotic 3D printing in construction and manufacturing. However, their performance is hindered by challenges such as cable deformation including sagging and vibration, dynamic variation of cable lengths for actuation, and the complexity of modeling rigid–flexible hybrid systems, all of which lead to significant printhead positioning inaccuracies that degrade print precision. To address these challenges, this work presents a geometric, strain-based Cosserat-rod dynamic model to capture the complex interactions within the hybrid soft-rigid multi-body system. The model incorporates time-varying boundaries of the flexible (soft) links to account for the cable actuation. To improve positioning accuracy, an inverse kinetostatic formulation is employed to compute optimized cable lengths that minimize the end-effector tip error. The proposed approach is evaluated through three representative SCDPR configurations: first, a system benchmarked against a state-of-the-art method to assess modeling accuracy; second, a small-scale experimental prototype demonstrating circular trajectory tracking; and third, a large-scale simulated setup illustrating the feasibility of generating geometrically complex structures in a construction-scale scenario. The results confirm the ability of the proposed model to achieve high tracking accuracy, system stability, and control fidelity. Moreover, the computational efficiency and modularity of the formulation establish it as a promising foundation for future real-time control implementations in additive manufacturing and construction automation.

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