R
Ramin Sedaghati
Researcher at Concordia University
Publications - 177
Citations - 3354
Ramin Sedaghati is an academic researcher from Concordia University. The author has contributed to research in topics: Finite element method & Magnetorheological fluid. The author has an hindex of 29, co-authored 154 publications receiving 2581 citations. Previous affiliations of Ramin Sedaghati include Concordia University Wisconsin & University College West.
Papers
More filters
Journal ArticleDOI
Development of a field dependent Prandtl-Ishlinskii model for magnetorheological elastomers
TL;DR: In this paper, a stop operator-based classical PI model was proposed to predict nonlinear hysteresis properties of MREs as functions of the strain amplitude, excitation frequency and magnetic flux density.
Journal ArticleDOI
Vibration analysis and design optimization of sandwich beams with constrained viscoelastic core layer
TL;DR: In this article, the dynamic properties of sandwich beam-type structure are analyzed using finite element method based on a nonlinear model for displacement field in the viscoelastic core layer of the beam structure.
Journal ArticleDOI
Finite element analysis and response surface method for robust multi-performance optimization of radial turning of hard 300M steel
TL;DR: In this paper, a hybrid optimization algorithm combining genetic algorithm and sequential quadratic programming method is employed to solve optimization problems in order to identify optimal cutting conditions and tool geometry to improve machining characteristics and residual stresses induced by radial orthogonal turning 300M steel.
Journal ArticleDOI
The effect of magneto-rheological fluid on vibration suppression capability of adaptive sandwich plates: Experimental and finite element analysis
TL;DR: In this article, a finite element model based on the classical plate theory was formulated to obtain governing equations of motion of the multi-layer magneto-rheological plate and the complex shear modulus of each magneto rheological fluid in the pre-yield region was described by a phenomenological model as a function of the magnetic flux density and excitation frequency.
Journal ArticleDOI
Practical design optimization of truss structures using the genetic algorithms
TL;DR: In this paper, the authors investigated the simultaneous size, geometry and topology optimization of real life large truss structures using genetic algorithms (GAs) as optimizer and finite element method as analyzer.