Search Results - "Akbarzadeh, V."

Coupled CFD–DEM of particle-laden flows in a turning flow with a moving wall by Akbarzadeh, V., Hrymak, A.N.

“…•Particle–fluid interactions in the system similar to a slot coating die are modeled using the discrete element method.•Particles move toward the walls of the…”
Get full text

Coupled fluid-particle modeling of a slot die coating system by Akbarzadeh, V., Hrymak, A. N.

“…This work seeks to develop a fundamental understanding of particle motion in the slot die coating process through studying the interaction of forces between…”
Get full text

Probabilistic Sensing Model for Sensor Placement Optimization Based on Line-of-Sight Coverage by Akbarzadeh, V., Gagne, C., Parizeau, M., Argany, M., Mostafavi, M. A.

“…This paper proposes a probabilistic sensor model for the optimization of sensor placement. Traditional schemes rely on simple sensor behaviour and…”
Get full text

Neural network modeling of magnetic hysteresis by Akbarzadeh, V., Davoudpour, M., Sadeghian, A.

“…This paper presents the application of artificial neural networks to implement a magnetic hysteresis model. Accurate modelling of hysteresis is essential for…”
Get full text

A knowledge based decision support architecture for designing brushless DC motors by Akbarzadeh, V., Sadeghian, A.

“…This paper presents a knowledge based decision support system that can be used to design brushless DC motors. A hybrid approach, that includes an object…”
Get full text

Black-box optimization of sensor placement with elevation maps and probabilistic sensing models by Akbarzadeh, V., Gagne, C., Parizeau, M., Mostafavi, M. A.

“…This paper proposes a framework for the optimization of sensor placement. Traditional schemes rely on simple sensor behaviours and environmental factors. The…”
Get full text

Derivation of relational fuzzy classification rules using evolutionary computation by Akbarzadeh, V., Sadeghian, A., dos Santos, M.V.

“…An evolutionary system for derivation of fuzzy classification rules is presented. This system uses two populations: one of fuzzy classification rules, and one…”
Get full text