Characterization, generative design, and fabrication of a carbon fiber-reinforced industrial robot gripper via additive manufacturing
Robot grippers are crucial components across various industrial applications, requiring special design and production for obtaining the optimal performance. Conventional plastic injection moulding techniques fall short in achieving the specificity needed for these grippers. To address this challenge...
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Elsevier
2024-11-01
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| Series: | Journal of Materials Research and Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785424023342 |
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| author | Selim Hartomacıoğlu Ersin Kaya Beril Eker Salih Dağlı Murat Sarıkaya |
| author_facet | Selim Hartomacıoğlu Ersin Kaya Beril Eker Salih Dağlı Murat Sarıkaya |
| author_sort | Selim Hartomacıoğlu |
| collection | DOAJ |
| description | Robot grippers are crucial components across various industrial applications, requiring special design and production for obtaining the optimal performance. Conventional plastic injection moulding techniques fall short in achieving the specificity needed for these grippers. To address this challenge, current paper focuses on developing a robot gripper using carbon fiber-reinforced polyamide with a next-generation composite filament and employing the innovative Generative Design technique. In the work, we began by characterizing and optimizing the composite material specifications. Then, the tensile strength and fracture mechanics of standard samples based on printing parameters, applying Taguchi experimental design for optimization were evaluated. Analysis of Variance (ANOVA) was used for factor analysis to fine-tune the process. Using the Generative Design technique, we determined optimal geometries, which were then fabricated through Fused Deposition Modeling (FDM). As a result, the optimization efforts led to significant improvements i.e., tensile strength increased from 103.2 to 116 MPa, and the elasticity modulus from 8386 to 8990 MPa. In practical industrial applications, we achieved a reduction in material weight from 14 to 4 g, lowered production costs from $5.16 to $1.50, and cut production time from 58 to 28 min. This study presents a validated method for developing industrial products with reduced material usage and costs, promoting sustainable production practices. |
| format | Article |
| id | doaj-art-2a0fb7a9c8b04809b7b71789e6f68bbb |
| institution | OA Journals |
| issn | 2238-7854 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Materials Research and Technology |
| spelling | doaj-art-2a0fb7a9c8b04809b7b71789e6f68bbb2025-08-20T01:57:20ZengElsevierJournal of Materials Research and Technology2238-78542024-11-01333714372710.1016/j.jmrt.2024.10.064Characterization, generative design, and fabrication of a carbon fiber-reinforced industrial robot gripper via additive manufacturingSelim Hartomacıoğlu0Ersin Kaya1Beril Eker2Salih Dağlı3Murat Sarıkaya4Department of Mechanical Engineering, Marmara University, 34722, Istanbul, Türkiye; Department of Mechanical Engineering, Recep Tayyip Erdoğan University, Rize 53100, Türkiye; Corresponding author. Department of Mechanical Engineering, Recep Tayyip Erdoğan University, Rize 53100, TürkiyeDepartment of Mechanical Engineering, Marmara University, 34722, Istanbul, TürkiyeYildiz Technical University Science and Technology Application and Research Center, Davutpasa, Istanbul, TürkiyeDepartment of Mechanical Engineering, Sinop University, Sinop, TürkiyeDepartment of Mechanical Engineering, Sinop University, Sinop, Türkiye; Faculty of Mechanical Engineering, Opole University of Technology, 45-758, Opole, PolandRobot grippers are crucial components across various industrial applications, requiring special design and production for obtaining the optimal performance. Conventional plastic injection moulding techniques fall short in achieving the specificity needed for these grippers. To address this challenge, current paper focuses on developing a robot gripper using carbon fiber-reinforced polyamide with a next-generation composite filament and employing the innovative Generative Design technique. In the work, we began by characterizing and optimizing the composite material specifications. Then, the tensile strength and fracture mechanics of standard samples based on printing parameters, applying Taguchi experimental design for optimization were evaluated. Analysis of Variance (ANOVA) was used for factor analysis to fine-tune the process. Using the Generative Design technique, we determined optimal geometries, which were then fabricated through Fused Deposition Modeling (FDM). As a result, the optimization efforts led to significant improvements i.e., tensile strength increased from 103.2 to 116 MPa, and the elasticity modulus from 8386 to 8990 MPa. In practical industrial applications, we achieved a reduction in material weight from 14 to 4 g, lowered production costs from $5.16 to $1.50, and cut production time from 58 to 28 min. This study presents a validated method for developing industrial products with reduced material usage and costs, promoting sustainable production practices.http://www.sciencedirect.com/science/article/pii/S2238785424023342FDMMechanical testingGenerative designAdditive manufacturingIndustrial robot gripperOptimization |
| spellingShingle | Selim Hartomacıoğlu Ersin Kaya Beril Eker Salih Dağlı Murat Sarıkaya Characterization, generative design, and fabrication of a carbon fiber-reinforced industrial robot gripper via additive manufacturing Journal of Materials Research and Technology FDM Mechanical testing Generative design Additive manufacturing Industrial robot gripper Optimization |
| title | Characterization, generative design, and fabrication of a carbon fiber-reinforced industrial robot gripper via additive manufacturing |
| title_full | Characterization, generative design, and fabrication of a carbon fiber-reinforced industrial robot gripper via additive manufacturing |
| title_fullStr | Characterization, generative design, and fabrication of a carbon fiber-reinforced industrial robot gripper via additive manufacturing |
| title_full_unstemmed | Characterization, generative design, and fabrication of a carbon fiber-reinforced industrial robot gripper via additive manufacturing |
| title_short | Characterization, generative design, and fabrication of a carbon fiber-reinforced industrial robot gripper via additive manufacturing |
| title_sort | characterization generative design and fabrication of a carbon fiber reinforced industrial robot gripper via additive manufacturing |
| topic | FDM Mechanical testing Generative design Additive manufacturing Industrial robot gripper Optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2238785424023342 |
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