Topology Optimization for Flexible Robotic Gripper Using Ansys

Abstract

This study investigates the application of topology optimization techniques to enhance the structural design of a flexible robot gripper, with a specific focus on utilizing PLA (Polylactic Acid) material. Through iterative processes of static analysis and topology optimization, the primary objective is to develop a gripper design that strikes a balance between lightweight construction and structural robustness. The research employs SolidWorks for model creation and Ansys for static analysis, meshing, and optimization. Key optimization strategies include volume optimization, mass optimization, and remodeling. The findings demonstrate significant achievements in mass reduction, with post-optimization models showcasing a remarkable 34.35% decrease. This reduction in mass not only contributes to the overall efficiency of the gripper but also aligns with sustainability goals by minimizing material usage. Moreover, the study highlights the importance of volume optimization in enhancing structural efficiency and performance. These advancements underscore the effectiveness of topology optimization methodologies in achieving lightweight yet robust designs, particularly in the context of flexible robot grippers. The findings contribute to the broader discourse on sustainable engineering practices and pave the way for further advancements in the field of robotics. Additionally, the study emphasizes the need for continued exploration into alternative material options and further refinement of optimization techniques to meet evolving design challenges in robotics and beyond.