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Journals / Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2026 / Cilt: 16 Sayı: 2

The Effect of Geometric Parameters on Bending in Soft Actuators: FEM Simulation

Yumuşak Aktüatörlerde Geometrik Parametrelerin Bükülmeye Etkisi: FEA Simülasyonu

Ömer Alaca(Bilecik Şeyh Edebali Üniversitesi)0000-0002-6232-5447
Elif Nur Selçuk(SÜLEYMAN DEMİREL ÜNİVERSİTESİ)0000-0003-3799-4304
Hatice Akman(ISPARTA UYGULAMALI BİLİMLER ÜNİVERSİTESİ TEKNOLOJİ FAKÜLTESİ)0000-0002-8906-2122
Reşat Selbaş(ISPARTA UYGULAMALI BİLİMLER ÜNİVERSİTESİ TEKNOLOJİ FAKÜLTESİ)0000-0003-4802-1831
Pages
574–582
Publication Date
2026-06-01
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AI Summary & Key Takeaways

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

In this study, the effects of key design parameters—such as the presence or absence of an internal radius and overall actuator length (105 mm and 139 mm)—on the bending behavior of a hollow-chamber soft pneumatic actuator under different pressure conditions were numerically investigated.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Soft pneumatic actuators have attracted considerable attention in recent years due to their flexibility and adaptive motion capabilities.
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Key Findings & Data:In this study, the effects of key design parameters—such as the presence or absence of an internal radius and overall actuator length (105 mm and 139 mm)—on the bending behavior of a hollow-chamber soft pneumatic actuator under different pressure conditions were numerically investigated.
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Conclusion & Impact:These findings highlight the importance of considering geometric factors in the design and performance optimization of soft pneumatic actuators.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:3 Boyutlu tasarım · Yumuşak esnek aktüatör · Bükülme açısı

Abstract

Soft pneumatic actuators have attracted considerable attention in recent years due to their flexibility and adaptive motion capabilities. However, existing studies examining the influence of geometric design parameters on mechanical behavior remain limited. In this study, the effects of key design parameters—such as the presence or absence of an internal radius and overall actuator length (105 mm and 139 mm)—on the bending behavior of a hollow-chamber soft pneumatic actuator under different pressure conditions were numerically investigated. The actuator geometry was modeled using Fusion 360, and the hyperelastic properties of the silicone material were defined by the Mooney–Rivlin model. Mechanical analyses were conducted in ANSYS using the Finite Element Method (FEM) for internal pressure levels of 5, 10, and 15 kPa. The results indicate that variations in geometric parameters can significantly affect both the magnitude and pattern of actuator bending. These findings highlight the importance of considering geometric factors in the design and performance optimization of soft pneumatic actuators.

Özet

Yumuşak pnömatik aktüatörler, esnek yapıları ve adaptif hareket kabiliyetleri sayesinde son yıllarda geniş bir ilgi alanı oluşturmuştur. Bununla birlikte, geometrik tasarım değişkenlerinin mekanik davranış üzerindeki etkilerine ilişkin mevcut çalışmaların kapsamı sınırlıdır. Bu çalışmada, içi boş odacıklı bir yumuşak pnömatik aktüatörün radius varlığı/yokluğu ve boyut (105 mm ve 139 mm) gibi tasarım parametrelerinin, farklı basınç koşulları altında bükülme davranışı üzerindeki etkileri sayısal olarak incelenmiştir. Aktüatör geometrisi Fusion 360 yazılımında oluşturulmuş, silikon malzemenin hiperelastik özellikleri Mooney–Rivlin modeliyle tanımlanmıştır. Mekanik analizler ANSYS ortamında Sonlu Elemanlar Yöntemi (FEA) kullanılarak gerçekleştirilmiş ve 5, 10 ve 15 kPa iç basınç seviyeleri için tekrarlanmıştır. Analiz sonuçları, geometrik parametrelerdeki farklılıkların aktüatörün bükülme miktarı ve şekli üzerinde belirgin bir etkiye sahip olabileceğini göstermektedir. Bu bulgular, yumuşak pnömatik aktüatörlerin tasarımında geometrik değişkenlerin dikkate alınmasının performans açısından önemli olduğunu ortaya koymaktadır.

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Cite This Article

Alaca, Ö., Selçuk, E. N., Akman, H., Selbaş, R. (2026). The Effect of Geometric Parameters on Bending in Soft Actuators: FEM Simulation. Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Cilt: 16 Sayı: 2, 574–582. https://doi.org/10.21597/jist.1754065

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References (42)

  1. Ariyanto, M., Munadi, M., Setiawan, J. D., Mulyanto, D., & Nugroho, T. (2019). Three-fingered soft robotic gripper based on pneumatic network actuator. In 2019 6th International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE) (pp. 1-5). IEEE.
  2. Awad, L. N., Bae, J., O’donnell, K., De Rossi, S. M., Hendron, K., Sloot, L. H.,. & Walsh, C. J. (2017). A soft robotic exosuit improves walking in patients after stroke. Science translational medicine, 9(400), eaai9084.
  3. Baloch, S. K., Tunio, I. A., Ali, I., & Ahmed, S. (2023). A Nonlinear Finite Element Analysis of a Tapered Soft Actuator for Improved Bending Performance in Soft Robotics. Journal of Computing & Biomedical Informatics, 5(01), 336-344.
  4. Bhatia, A., & Sehgal, A. K. (2023). Additive manufacturing materials, methods and applications: A review. Materials Today: Proceedings, 81, 1060-1067.
  5. Cheng, J., Yu, S., Wang, R., & Ge, Q. (2024). Digital light processing based multimaterial 3D printing: challenges, solutions and perspectives. International Journal of Extreme Manufacturing, 6(4), 042006.
  6. Cianchetti, M., Laschi, C., Menciassi, A., & Dario, P. (2018). Biomedical applications of soft robotics. Nature Reviews Materials, 3(6), 143-153. https://doi.org/10.1038/s41578-018-0022-y.
  7. Davila-Vilchis, J. M., Ávila-Vilchis, J. C., Vilchis-González, A. H., Zúñiga-Avilés, L. A., & Jacinto-Villegas, J. M. (2022). Fabric inflatable soft actuators for soft wearable devices: The mosar case. Machines, 10(10), 871.
  8. Elfferich, J. F., Dodou, D., & Della Santina, C. (2022). Soft robotic grippers for crop handling or harvesting: A review. Ieee Access, 10, 75428-75443
  9. Galloway, K. C., Becker, K. P., Phillips, B., Kirby, J., Licht, S., Tchernov, D.,. & Gruber, D. F. (2016). Soft robotic grippers for biological sampling on deep reefs. Soft robotics, 3(1), 23-33.
  10. Ghanizadeh, A., Ghanbili, F., & Bahrami, A. (2024). Contact force estimation and control in soft fin-ray grippers using FEM and experimental approach. In 2024 12th RSI International Conference on Robotics and Mechatronics (ICRoM) (pp. 076-082). IEEE.
  11. Hasanshahi, B.; Cao, L.; Song, K.-Y.; Zhang, W. (2024). Design of Soft Robots: A Review of Methods and Future Opportunities for Research. Machines, 12, 527. https://doi.org/10.3390/machines12080527.
  12. He, B., Zhang, C., Zhou, Y., & Wang, Z. (2018). A computing method to determine the performance of an ionic liquid gel soft actuator. Applied Bionics and Biomechanics, 2018(1), 8327867.
  13. Hines, L., Petersen, K., Lum, G. Z., & Sitti, M. (2017). Soft actuators for small‐scale robotics. Advanced materials, 29(13), 1603483.
  14. Hu, W., Mutlu, R., Li, W., & Alici, G. (2018). A structural optimisation method for a soft pneumatic actuator. robotics, 7(2), 24.
  15. Huang, W., Xu, Z., Xiao, J., Hu, W., Huang, H., & Zhou, F. (2020). Multimodal soft robot for complex environments using bionic omnidirectional bending actuator. Ieee Access, 8, 193827-193844.
  16. Jang, Y., Nabae, H., Suzumori, K. (2023). Evaluation of Spiral Pneumatic Rubber Actuator Using Finite Element Analysis for Radial Transportation. In Actuators (Vol. 12, No. 5, p. 205). MDPI.
  17. Jiao, Z., Zhang, C., Wang, W., Pan, M., Yang, H., & Zou, J. (2019). Advanced artificial muscle for flexible material‐based reconfigurable soft robots. Advanced Science, 6(21), 1901371.
  18. Majidi, C. (2019).Soft‐matter engineering for soft robotics. Advanced Materials Technologies, 4(2), 1800477. Meng, J., Gerez, L., Chapman, J., & Liarokapis, M. (2020). A tendon-driven, preloaded, pneumatically actuated, soft robotic gripper with a telescopic palm. In 2020 3rd IEEE International Conference on Soft Robotics (RoboSoft) (pp. 476-481). IEEE.
  19. Moutousi, M., Polygerinos, P. (2024). Omnidirectional soft pneumatic actuators: a design and optimization framework. Frontiers in Robotics and AI, 11, 1418484.
  20. Rich, S. I., Wood, R. J., & Majidi, C. (2018).Untethered soft robotics. Nature Electronics, 1(2), 102-11.
  21. Roshanfar, M., Taki, S., Sayadi, A., Cecere, R., Dargahi, J., & Hooshiar, A. (2023). Hyperelastic modeling and validation of hybrid-actuated soft robot with pressure-stiffening. Micromachines, 14(5), 900.
  22. Rus, D., & Tolley, M. T. (2015). Design, fabrication and control of soft robots. Nature, 521(7553), 467-475.
  23. Sachyani Keneth, E., Kamyshny, A., Totaro, M., Beccai, L., & Magdassi, S. (2021). 3D printing materials for soft robotics. Advanced Materials, 33(19), 2003387.
  24. Sarker, A., Ul Islam, T., & Islam, Md. R. A (2025). Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects. Advanced Intelligent Systems, 7(3), 2400414https://doi.org/10.1002/aisy.202400414.
  25. Schmitt, F., Piccin, O., Barbé, L., & Bayle, B. (2018). Soft Robots Manufacturing: A Review. Frontiers in Robotics and AI, 5, 84. https://doi.org/10.3389/frobt.2018.00084
  26. Schmitt, F., Piccin, O., Barbé, L., & Bayle, B. Soft Robots Manufacturing: A Review. Frontiers in Robotics and AI, 5, 84. (2018). https://doi.org/10.3389/frobt.2018.00084.
  27. Skylar-Scott, M. A., Mueller, J., Visser, C. W., & Lewis, J. A. (2019). Voxelated soft matter via multimaterial multinozzle 3D printing. Nature, 575(7782), 330-335.
  28. Slim, M., Rokbani, N., Terres, M. A., Watelain, E., Ben Khelifa, M. M. (2025). Optimization of Soft Actuator Geometry and Material Modeling Using Metaheuristic Algorithms. In Actuators (Vol. 14, No. 11, p. 520). MDPI.
  29. Suprihanto, A. G. U. S., Kurdi, O., Umardani, Y. U. S. U. F., Wibowo, D. B., & Ranubaya, Y. (2022). Effect of Degassing Pressure Casting on Hardness, Density and Tear Strength of Silicone Rubber Rtv 497 And Rtv 00a With 30% Talc Reinforcement. International Journal of Mechanical and Production Engineering Research and Development (IJMPERD), 12(2), 9-16.
  30. Suprihanto, A., Caesarendra, W., Wibowo, D. B., Bartoszuk, M., & Varga, G. (2024). Analysis of the Effect of Vacuum Pressure Variations on the Fluidity, form Ability, Hardness, and Density of the RTV 10A Silicon Rubber Composites with 30% Talc. Advances in Science and Technology. Research Journal, 18(4).
  31. Venter, D., & Dirven, S. (2017). Self morphing soft-robotic gripper for handling and manipulation of delicate produce in horticultural applications. In 2017 24th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (pp. 1-6). IEEE.
  32. Wang, J., Gao, D., & Lee, P. S. (2021).Recent progress in artificial muscles for interactive soft robotics. Advanced Materials, 33(19), 2003088.
  33. Whitesides, G. M. (2018). Soft robotics. Angewandte Chemie International Edition, 57(16), 4258-4273.
  34. Xavier, M. S., Fleming, A. J., & Yong, Y. K. (2021). Finite element modeling of soft fluidic actuators: Overview and recent developments. Advanced Intelligent Systems, 3(2), 2000187.
  35. Xu, Z., Liu, H., Feng, W., Yang, H., Nie, X., & Zhou, R. (2023). Design and performance analysis of a torsional soft actuator based on hyperelastic materials. Robotics, 12(4), 94.
  36. Yap, Y. L., Sing, S. L., & Yeong, W. Y. (2020). A review of 3D printing processes and materials for soft robotics. Rapid Prototyping Journal, 26(8), 1345-1361.
  37. Yu, Y., & Fu, T. (2023). Design and experimental study of cavity structure of pneumatic soft actuator. Actuators, 12 (8), 314.
  38. Zhang, Z., Wang, X., Wang, S., Meng, D., & Liang, B. (2019). Design and modeling of a parallel-pipe-crawling pneumatic soft robot. IEEE access, 7, 134301-134317.
  39. Zhou, S., Li, Y., Wang, Q., & Lyu, Z. (2024). Integrated actuation and sensing: Toward intelligent soft robots. Cyborg and Bionic Systems, 5, 0105.
  40. Awad, L. N., Bae, J., O’donnell, K., De Rossi, S. M., Hendron, K., Sloot, L. H.,. & Walsh, C. J. (2017). A soft robotic exosuit improves walking in patients after stroke. Science translational medicine, 9(400), eaai9084.
  41. Elfferich, J. F., Dodou, D., & Della Santina, C. (2022). Soft robotic grippers for crop handling or harvesting: A review. Ieee Access, 10, 75428-75443
  42. Galloway, K. C., Becker, K. P., Phillips, B., Kirby, J., Licht, S., Tchernov, D.,. & Gruber, D. F. (2016). Soft robotic grippers for biological sampling on deep reefs. Soft robotics, 3(1), 23-33.