Published on: June 2026
WEIGHT OPTIMIZATION OF ROBOTIC ARM USING FEA: A REVIEW PAPER
Shubham Nagar
Prof. Mansoor Ali, Prof. Abhishek Mahate
Article Status
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Abstract
Weight optimization of robotic arms is a critical aspect in modern automation systems, as it directly influences energy consumption, payload capacity, dynamic performance, and overall efficiency. Finite Element Analysis (FEA) has emerged as a powerful computational tool for structural analysis and optimization of robotic components. This review paper presents a comprehensive analysis of recent research on weight optimization of robotic arms using FEA techniques. The study focuses on stress analysis, topology optimization, material selection, and design modifications to achieve lightweight yet structurally robust robotic arms. Additionally, the paper highlights research gaps and future directions involving integration with artificial intelligence, generative design, and Industry 4.0 technologies.
How to Cite this Paper
Nagar, S. (2026). Weight Optimization of Robotic Arm using FEA: A Review Paper. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(6). https://doi.org/10.55041/ijcope.v2i6.104
Nagar, Shubham. "Weight Optimization of Robotic Arm using FEA: A Review Paper." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i6.104.
Nagar, Shubham. "Weight Optimization of Robotic Arm using FEA: A Review Paper." International Journal of Creative and Open Research in Engineering and Management 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i6.104.
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References
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Ethical Compliance & Review Process
- •All submissions are screened under plagiarism detection.
- •Review follows editorial policy.
- •Authors retain copyright.
- •Peer Review Type: Double-Blind Peer Review
- •Published on: Jun 08 2026
This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.
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