Short Title: Int. J. Mech. Eng. Robot. Res.
Frequency: Bimonthly
Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
2025-05-16
2025-04-27
2025-04-02
Manuscript received September 24, 2024; revised November 11, 2024; accepted December 26, 2024; published May 9, 2025
Abstract—Robotic grippers play a vital role in enabling robots to efficiently manipulate objects. This study primarily focuses on the design and optimization of an adaptive gripper using response surface optimization techniques. A new design based on response surface optimization utilizing ANSYS software is suggested in place of the original design based on complaint mechanism topology optimization. The study aims to develop a lightweight gripper with the best flexibility for gripping items. When determining the optimal set of input parameters, the response surface optimization technique is used to consider objectives such as maximizing deformation and decreasing mass. The considerable impact of specific factors on deformation, stress, and mass is highlighted through sensitivity analysis. The relationship between mass and deformation is depicted in the trade-off curve, demonstrating a significant exponential decrease in mass as deformation increases. Response surface analysis guides the selection of potential locations, leading to the identification of the optimal design parameters. Surface response optimization indicates that the adaptive finger can achieve a substantial 37 mm deformation, highlighting its remarkable flexibility relative to its weight and stress tolerance. The proposed design has a final mass of 10 grams, which is relatively lightweight in comparison to other designs documented in the literature.Keywords—gripper, design, optimization, simulation Cite: Mohammad Al Mashagbeh, Saleh K. Elayyan, and Migdad Tamimi, "Implementation of Surface Response Optimization in the Design of Adaptive Lightweight Gripper," International Journal of Mechanical Engineering and Robotics Research, Vol. 14, No. 3, pp. 229-237, 2025. doi: 10.18178/ijmerr.14.3.229-237Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
