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This work seeks to develop a fundamental understanding of particle motion in the slot die coating process through studying the interaction of forces between particles, with the die walls and the fluid phase. Coupled computational fluid dynamics and the discrete element method is employed for evaluating the motion of individual suspended particles near moving surfaces in a complex three‐dimensional...
The nature of the particle–solid interactions and particle–fluid interactions in rectangular duct bend geometry with/without a moving wall is studied, taking into account particle collision, colloidal, and hydrodynamic forces, and four way coupling between the fluid flow and particles. The focus is on systems where particles and fluid phase have similar length scales, fluid Reynolds number (Ref)∼1,...
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 oriented paradigm using frames and procedural attachments together with a rule based mechanism, is used to build the proposed architecture. The design strategy is implemented using a rule-based successive iterative method, through which the expert...
This paper presents the application of artificial neural networks to implement a magnetic hysteresis model. Accurate modelling of hysteresis is essential for both the design and the performance evaluation of electromagnetic devices. It is shown that artificial neural networks (ANNs) provide natural settings whereby the Preisach model can be readily implemented. The comparison with the experiments...
An evolutionary system for derivation of fuzzy classification rules is presented. This system uses two populations: one of fuzzy classification rules, and one of membership function definitions. A constrained-syntax genetic programming evolves the first population and a mutation-based evolutionary algorithm evolves the second population. These two populations co-evolve to better classify the underlying...
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