Optimizing Robotic Prosthetic Palm Design through Integration of LOPCOW, COBRA, and EDAS for Efficient 3D Printing Material Selection

Ipsita Dhar; Bibhuti Bhusan Choudhury; Bidyadhar Sahoo; Sushil Kumar Sahoo; Dragan Pamucar; Dragan Marinković

doi:10.14513/actatechjaur.00789

Authors

Ipsita Dhar Department of Mechanical Engineering, Indira Gandhi Institute of Technology, Sarang, Dhenkanal (BPUT, Rourkela), 759146, Odisha, India https://orcid.org/0009-0007-4086-8137
Bibhuti Bhusan Choudhury Department of Mechanical Engineering, Indira Gandhi Institute of Technology, Sarang, Dhenkanal (BPUT, Rourkela), 759146, Odisha, India https://orcid.org/0000-0002-2990-3911
Bidyadhar Sahoo Department of Mechanical Engineering, Indira Gandhi Institute of Technology, Sarang, Dhenkanal (BPUT, Rourkela), 759146, Odisha, India https://orcid.org/0000-0003-1734-8217
Sushil Kumar Sahoo Department of Mechanical Engineering, Indira Gandhi Institute of Technology (BPUT, Rourkela), Sarang, Dhenkanal, Odisha, 759146, India https://orcid.org/0000-0002-8551-7353
Dragan Pamucar University of Belgrade, Department of Operations Research and Statistics, Faculty of Organizational Sciences, 11010, Belgrade, Serbia // Faculty of Engineering, Dogus University, Istanbul, Türkiye // Department of Applied Mathematical Science, College of Science and Technology, Korea University, Sejong 30019, Republic of Korea https://orcid.org/0000-0001-8522-1942
Dragan Marinković Department of Structural Analysis, Technical University of Berlin, 10623 Berlin, Germany // Institute of Mechanical Science, Vilnius Gediminas Technical University, LT-10105 Vilnius, Lithuania https://orcid.org/0000-0002-3583-9434

DOI:

https://doi.org/10.14513/actatechjaur.00789

Keywords:

Robotic Prosthetic Palm, 3D Printing Material Optimization, LOPCOW, COBRA, EDAS

Abstract

This research presents a novel multi criteria decision making (MCDM) approach for optimizing material selection in the design of a robotic prosthetic palm, a critical component in assistive and rehabilitation technologies. The research addresses the urgent need for a systematic approach to improve material efficiency and design precision in affordable prosthetic solutions. This study uses LOPCOW to find weights and applies COBRA and EDAS methods to thoroughly evaluate and select the best 3D printing material based on their mechanical, physical, and economic properties. Key parameters such as tensile strength, elastic modulus, Poisson’s ratio, von misses stress, mass density, displacement, equivalent strain, and cost were considered in the analysis. Among the 11 material evaluated, Acrylic (MT-3) emerged as the most efficient alternative, followed by PET (MT-8) and PA Type 6(MT-5). The use of Copeland voting rule, spearman correlation (0.9364) and sensitivity analysis validated the consistency and reliability of the integrated MCDM process. This methodology not only ensures optimal material selection for enhanced prosthetic performance but also demonstrates practical potential in manufacturing application in in biomedical engineering.

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