Characterization, generative design, and fabrication of a carbon fiber-reinforced industrial robot gripper via additive manufacturing
Yazarlar (5)
Doç. Dr. Selim Hartomacıoğlu Marmara Üniversitesi, Türkiye
Öğr. Gör. Ersin Kaya Marmara Üniversitesi, Türkiye
Öğr. Gör. Beril Eker Yıldız Teknik Üniversitesi, Türkiye
Doç. Dr. Salih DAĞLI Sinop Üniversitesi, Türkiye
Prof. Dr. Murat SARIKAYA Sinop Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Journal of Materials Research and Technology (Q1)
Dergi ISSN 2238-7854 Dergi Bilgileri (2024)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili Ingilizce Basım Tarihi 11-2024
Kabul Tarihi Yayınlanma Tarihi 01-11-2024
Cilt / Sayı / Sayfa 33 / 1 / 3714–3727 DOI 10.1016/j.jmrt.2024.10.064
Makale Linki http://dx.doi.org/10.1016/j.jmrt.2024.10.064
UAK Araştırma Alanları
Üretim Teknolojileri
Özet
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 …
Anahtar Kelimeler
Additive manufacturing | FDM | Generative design | Industrial robot gripper | Mechanical testing | Optimization