Keyword search (4,163 papers available)

"Roshanfar M" Authored Publications:

Title Authors PubMed ID
1 Emerging Image-Guided Navigation Techniques for Cardiovascular Interventions: A Scoping Review Roshanfar M; Salimi M; Jang SJ; Sinusas AJ; Kim J; Mosadegh B; 40428106
ENCS
2 Advanced Robotics for the Next-Generation of Cardiac Interventions Roshanfar M; Salimi M; Kaboodrangi AH; Jang SJ; Sinusas AJ; Wong SC; Mosadegh B; 40283240
ENCS
3 Design Optimization of a Hybrid-Driven Soft Surgical Robot with Biomimetic Constraints Roshanfar M; Dargahi J; Hooshiar A; 38275456
ENCS
4 Machine Learning-Assisted Short-Wave InfraRed (SWIR) Techniques for Biomedical Applications: Towards Personalized Medicine Salimi M; Roshanfar M; Tabatabaei N; Mosadegh B; 38248734
ENCS
5 Hyperelastic Modeling and Validation of Hybrid-Actuated Soft Robot with Pressure-Stiffening Roshanfar M; Taki S; Sayadi A; Cecere R; Dargahi J; Hooshiar A; 37241524
ENCS

 

Title:Hyperelastic Modeling and Validation of Hybrid-Actuated Soft Robot with Pressure-Stiffening
Authors:Roshanfar MTaki SSayadi ACecere RDargahi JHooshiar A
Link:https://pubmed.ncbi.nlm.nih.gov/37241524/
DOI:10.3390/mi14050900
Publication:Micromachines
Keywords:Cosserat rod modelhybrid actuationhyperelastic material modelintraluminal applicationspressure-stiffeningsoft robotstiffnesstendon-driven
PMID:37241524 Category: Date Added:2023-05-27
Dept Affiliation: ENCS

Description:

Soft robots have gained popularity, especially in intraluminal applications, because their soft bodies make them safer for surgical interventions than flexures with rigid backbones. This study investigates a pressure-regulating stiffness tendon-driven soft robot and provides a continuum mechanics model for it towards using that in adaptive stiffness applications. To this end, first, a central single-chamber pneumatic and tri-tendon-driven soft robot was designed and fabricated. Afterward, the classic Cosserat's rod model was adopted and augmented with the hyperelastic material model. The model was then formulated as a boundary-value problem and was solved using the shooting method. To identify the pressure-stiffening effect, a parameter-identification problem was formulated to identify the relationship between the flexural rigidity of the soft robot and internal pressure. The flexural rigidity of the robot at various pressures was optimized to match theoretical deformation and experiments. The theoretical findings of arbitrary pressures were then compared with the experiment for validation. The internal chamber pressure was in the range of 0 to 40 kPa and the tendon tensions were in the range of 0 to 3 N. The theoretical and experimental findings were in fair agreement for tip displacement with a maximum error of 6.40% of the flexure's length.





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