M
Mahdi Baniasadi
Researcher at University of Tehran
Publications - 15
Citations - 293
Mahdi Baniasadi is an academic researcher from University of Tehran. The author has contributed to research in topics: Shape-memory polymer & Finite element method. The author has an hindex of 6, co-authored 12 publications receiving 76 citations.
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Journal ArticleDOI
Magneto‐/ electro‐responsive polymers toward manufacturing, characterization, and biomedical/ soft robotic applications
Ebrahim Yarali,Mahdi Baniasadi,Ali Zolfagharian,Maede Chavoshi,Fatemeh Arefi,Mokarram Hossain,Anil K. Bastola,M. H. Sheikh Ansari,Alireza Foyouzat,Ali Dabbagh,Mohamad Mehdi Ebrahimi,Mohammad J. Mirzaali,Mahdi Bodaghi +12 more
TL;DR: Magneto-/ electro-responsive polymers (MERPs) as discussed by the authors are a class of stimuli-responsive materials that are actuated when triggered by external magnetic/electric fields.
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An experimental investigation on structural design of shape memory polymers
TL;DR: In this paper, the effect of structural (geometrical) design on the thermomechanical behavior of shape memory polymers was investigated, and three beams with identical dimensions (length, width, and thickness), material, and mass, but with different geometrical cells (honeycomb, diamond, and rounded rectangle) were designed by solving a set of nonlinear equations and produced using additive manufacturing method.
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Force and multiple-shape-recovery in shape-memory-polymers under finite deformation torsion-extension
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Multiple Shape Memory Effect for Smart Helical Springs with Variable Stiffness over Time and Temperature
TL;DR: In this paper, an analytical solution is presented to simulate the mechanical response of thermo-viscoelastic shape memory polymer materials considering the effects of time, temperature, loading rate, etc.
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Constitutive Modeling of multi-stimuli-responsive shape memory polymers with multi-functional capabilities
TL;DR: It is found that the electro-magnetic field, the orientation, and stiffness of fibers can effectively be set to tune the shape memory effect and bio-applicability of TEMFSMPs with highly enhanced stress/strain recovery and reduced working temperature.