Keyword search (4,163 papers available)

"application" Keyword-tagged Publications:

Title Authors PubMed ID
1 Advancements in Magnetorheological Foams: Composition, Fabrication, AI-Driven Enhancements and Emerging Applications Khodaverdi H; Sedaghati R; 40732777
ENCS
2 Web-enhanced return-to-work coordination for employees with common mental disorders: reduction of sick leave duration and relapse Corbière M; Mazaniello-Chézol M; Lecomte T; Guay S; Panaccio A; Giguère CÉ; 39966766
PSYCHOLOGY
3 Proof-of-concept testing of a mobile application-delivered mindfulness exercise for emotional eaters: RAIN delivered as a step-by-step image sequence Carrière K; Siemers N; Thapar S; Knäuper B; 39114459
HKAP
4 Advancements in Hybrid Cellulose-Based Films: Innovations and Applications in 2D Nano-Delivery Systems Ramezani G; Stiharu I; van de Ven TGM; Nerguizian V; 38667550
ENCS
5 Understanding Adolescents' Experiences With Menstrual Pain to Inform the User-Centered Design of a Mindfulness-Based App: Mixed Methods Investigation Study Gagnon MM; Brilz AR; Alberts NM; Gordon JL; Risling TL; Stinson JN; 38587886
PSYCHOLOGY
6 Call to action: equity, diversity, and inclusion in emergency medicine resident physician selection Primavesi R; Patocka C; Burcheri A; Coutin A; Elhalwi AM; Ali A; Pandya A; Gagné A; Johnston B; Thoma B; LeBlanc C; Fovet F; Gallinger J; Mohadeb J; Ragheb M; Dong S; Smith S; Oyedokun T; Newmarch T; Knight V; McColl T; 37368231
CONCORDIA
7 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
8 Human Activity Recognition with an HMM-Based Generative Model Manouchehri N; Bouguila N; 36772428
ENCS
9 Evaluation of the Diet Tracking Smartphone Application Keenoa™: A Qualitative Analysis Bouzo V; Plourde H; Beckenstein H; Cohen TR; 34582258
PERFORM
10 A historical perspective on porphyrin-based metal-organic frameworks and their applications Zhang X; Wasson MC; Shayan M; Berdichevsky EK; Ricardo-Noordberg J; Singh Z; Papazyan EK; Castro AJ; Marino P; Ajoyan Z; Chen Z; Islamoglu T; Howarth AJ; Liu Y; Majewski MB; Katz MJ; Mondloch JE; Farha OK; 33678810
CNSR
11 A Benchmark of Data Stream Classification for Human Activity Recognition on Connected Objects. Khannouz M; Glatard T; 33202905
ENCS
12 Validity and Usability of a Smartphone Image-Based Dietary Assessment App Compared to 3-Day Food Diaries in Assessing Dietary Intake Among Canadian Adults: Randomized Controlled Trial Ji Y; Plourde H; Bouzo V; Kilgour RD; Cohen TR; 32902389
PERFORM
13 Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare technology letters. Amini S, Kersten-Oertel M 32038868
PERFORM

 

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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