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Structural Design and Performance Analysis of Lightweight Manipulator Based on Multi-objective Optimization

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DOI: 10.23977/jemm.2025.100209 | Downloads: 1 | Views: 73

Author(s)

Xiangyu Wang 1

Affiliation(s)

1 Cardiff University, Cardiff, United Kingdom

Corresponding Author

Xiangyu Wang

ABSTRACT

To address the multi-performance conflict in lightweight robotic arm design, this study establishes a systematic design framework integrating multi-objective optimization. By combining topology optimization with parametric modeling to develop lightweight structural solutions, and applying advanced optimization algorithms to resolve multi-objective coordination issues involving mass, stiffness, and dynamic characteristics, the framework generates a Pareto solution set that characterizes performance trade-offs. A comprehensive performance evaluation system is further developed to assess the synergy between static-dynamic characteristics and energy efficiency precision, validating the optimization outcomes. The research demonstrates that this framework effectively guides designers in achieving optimal balance between structural lightweighting and overall performance under multiple constraints, providing a methodological basis for high-performance robotic arm development that combines theoretical rigor with engineering applicability.

KEYWORDS

Lightweight Design; Multi-Objective Optimization; Structural Design; Performance Analysis; Pareto Solution Set

CITE THIS PAPER

Xiangyu Wang, Structural Design and Performance Analysis of Lightweight Manipulator Based on Multi-objective Optimization. Journal of Engineering Mechanics and Machinery (2025) Vol. 10: 78-84. DOI: http://dx.doi.org/10.23977/jemm.2025.100209.

REFERENCES

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