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Journals / Bayburt Üniversitesi Fen Bilimleri Dergisi / 2022 / Cilt: 5 Sayı: 2

Part Design of a Humanoid Robot Arm with Generative Design Perspective

Yenilikçi Tasarım Bakış Açısıyla İnsansı Robot Kol Parçası Tasarımı

Safer Çokatar(MARMARA UNIVERSITY)0000-0001-5111-8429
Muhammet Tarık Yıldırım(MARMARA ÜNİVERSİTESİ, FEN BİLİMLERİ ENSTİTÜSÜ)0000-0002-6146-7144
Hüseyin Hakkı Bulduk(MARMARA ÜNİVERSİTESİ, FEN BİLİMLERİ ENSTİTÜSÜ)0000-0001-7827-1060
Oğuzhan Sefa Güner(MARMARA ÜNİVERSİTESİ, FEN BİLİMLERİ ENSTİTÜSÜ)0000-0001-7827-1060
Ersin Toptaş(MARMARA ÜNİVERSİTESİ)0000-0001-6667-0638
Pages
189–197
Publication Date
2022-12-31
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Comparison of the innovative design and the parts obtained as a result of traditional design in terms of cost, weight and safety coefficient will be made.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:With the developing technology, the structural analysis of the parts can be done with simulation in the computer environment.
📊
Key Findings & Data:With the increase in the use of artificial intelligence systems, the number of things that can be done in these simulation environments is increasing day by day.
💡
Conclusion & Impact:Comparison of the innovative design and the parts obtained as a result of traditional design in terms of cost, weight and safety coefficient will be made.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Yenilikçi tasarım · Robot kol tasarımı · Optimizasyon

Abstract

With the developing technology, the structural analysis of the parts can be done with simulation in the computer environment. These developed softwares have become even more useful today because it is desired to avoid the cost of testing a part or system in a real environment. With the increase in the use of artificial intelligence systems, the number of things that can be done in these simulation environments is increasing day by day. As it is known, durability is an important factor in the design process of the robot arm, but asking for more durability can cause extra weight in the traditional design approach. With the use of generative design instead of traditional design, it is possible to reduce weight and keep durability constant. In this study, structural simulations of a cable-driven robot arm joint will be made using Fusion360, and innovative design will be made using artificial intelligence add-ons. Comparison of the innovative design and the parts obtained as a result of traditional design in terms of cost, weight and safety coefficient will be made.

Özet

Gelişen teknoloji ile birlikte parçaların yapısal analizleri bilgisayar ortamında simülasyon ile yapılabilmektedir. Bir parçanın veya sistemin testlerinin gerçek ortamda yapılmasının maliyetinden kaçınmak istenildiği için gelişmiş olan bu ortamlar günümüzde daha da kullanışlı hale gelmiştir. Yapay zeka sistemlerinin kullanımının artması ile birlikte bu simülasyon ortamlarında yapılabileceklerin sayısı da gün geçtikçe artmaktadır. Robot kolun tasarım sürecinde dayanıklılık önemli bir faktördür fakat daha fazla dayanıklılık istemek gelenekçi tasarım yaklaşımında fazladan ağırlıklara sebebiyet verebilmektedir. Gelenekçi tasarım yerine yenilikçi tasarımın kullanılması ile birlikte ağırlığın azaltılıp dayanıklılığın sabit tutulması mümkün olmaktadır. Bu çalışmada Fusion360 kullanılarak, kablo ile sürülen bir robot kol ekleminin yapısal simülasyonları, yapay zekâ eklentileri kullanılarak yenilikçi tasarımı yapılacaktır. Yenilikçi tasarım ile geleneksel tasarım sonucu elde edilen parçaların maliyet, ağırlık ve güvenlik katsayısı bakımından karşılaştırılması yapılacaktır.

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Cite This Article

Çokatar, S., Yıldırım, M. T., Bulduk, H. H., Güner, O. S., Toptaş, E. (2022). Part Design of a Humanoid Robot Arm with Generative Design Perspective. Bayburt Üniversitesi Fen Bilimleri Dergisi, Cilt: 5 Sayı: 2, 189–197. https://doi.org/10.55117/bufbd.1127822

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References (16)

  1. J. Osmond, "The Threshold of Uncertainty in Teaching Design," p. 8.
  2. H. J. G. Diersch, FEFLOW, Berlin, Heidelberg: Springer Berlin Heidelberg, 2014.
  3. Y. Horiba, "Proposal of Method for Estimating Clothing Pressure of Tight-Fitting Garment Made from Highly Elastic Materials: Hybrid Method Using Apparel CAD and Finite Element Analysis Software," Journal of Fiber Science and Technology, vol. 77, no. 2, pp. 76-87, 2021.
  4. A. P. G. Milla, "Expertise, playfulness and analogical reasoning: three strategies to train Artificial Intelligence for design applications," Architecture, Structures and Construction, 2022.
  5. N. Kallioras, "MLGen: Generative Design Framework Based on Machine Learning and Topology Optimization," Applied Sciences, vol. 11, no. 24, p. 12044, 2021.
  6. T. Laughlin, "nTopology," 25 04 2019. [Çevrimiçi]. Available: https://ntopology.com/blog/2019/04/25/topology-optimization-in-a-world-of-fields-and-implicit-geometry/. [Erişildi: 07 04 2022].
  7. H. M. Al-Qahtani, "Dynamics and Control of a Robotic Arm Having Four Links," Arabian Journal for Science and Engineering, vol. 42, no. 5, pp. 1841-1852, 2017.
  8. F. D. Crescenzio, Generative design of 3D printed hands-free door handles for reduction of contagion risk in public buildings," International Journal on Interactive Design and Manufacturing (IJIDeM), vol. 16, no. 1, pp. 253-261, 2022.
  9. C. P. J. P. C. L. S. L. Taeyoon Lee, "A hybrid dynamic model for the AMBIDEX tendon-driven manipulator," Mechatronics, p. 102398, 2020.
  10. Y. J. Kim, "Anthropomorphic Low-Inertia High-Stiffness Manipulator for High-Speed Safe Interaction," IEEE Transactions on Robotics, vol. 33, no. 6, pp. 1358-1374, 2017.
  11. R. Wu, "DeepCAD: A Deep Generative Network for Computer-Aided Design Models," arXiv:2105.09492 [cs], 2021.
  12. G. L. S. S. Lopez, "A finite element approach to statical and dynamical analysis of geometrically nonlinear structures," Finite Elements in Analysis and Design, vol. 46, no. 12, pp. 1093-1105, 2010.
  13. R. F. M. C. L. G. Francesco Buonamici, "Generative Design: An Explorative Study," Computer-Aided Design and Applications, vol. 18, no. 1, pp. 144-155, 2020.
  14. B. Aman, "Generative Design for Performance Enhancement, Weight Reduction, and its IndustrialImplications," p. 21.
  15. "Koç üniversitesi hastanesi," [Çevrimiçi]. Available: https://www.kuh.ku.edu.tr/fizik-tedavi-verehabilitasyon/omuz-egzersizleri. [Erişildi: 03 06 2022].
  16. B. Ma, "Design of Surgical machine manipulator based on TOPOLOGY OPTIMIZATION method," 20213rd International Symposium on Robotics & Intelligent Manufacturing Technology (ISRIMT), Changzhou,China, 2021.