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Energy-efficient design of propeller-type climbing robots using glass fiber reinforced polymer and topology optimization
Abstract
Propeller-type climbing robots often face significant energy consumption challenges due to their heavy structures. This study investigates various optimization techniques aimed at reducing the weight and improving the efficiency of such robots. Specifically, the research explores the use of Glass Fiber Reinforced Polymer (GFRP) laminates optimized for the robot’s application, alongside topology optimization applied to the robot's chassis. Three lamination schemes—Symmetric Cross-Ply (SC), Antisymmetric Cross-Ply (AC), and Antisymmetric Angle-Ply (AA)—were considered to determine the most effective material configuration for weight reduction while maintaining structural integrity. Additionally, the robot chassis was optimized through topology optimization to eliminate unnecessary material, further enhancing the design. The results highlight the synergistic benefits of combining material optimization and shape optimization in reducing weight and improving the overall energy efficiency of propeller-type climbing robots.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
