Modelling Membrane Separation Processes with Particle Swarm Optimisation
Sunil Liu
Corresponding
Cairo University
Amara Rossi
Korea Advanced Institute of Science and Technology
Abstract
Conventional approaches to robotic manipulation often treat membrane separation processes as a secondary consideration, at considerable cost. The proposed approach combines particle swarm optimisation with laboratory measurements to improve predictive accuracy. The strongest effect was associated with membrane separation processes, which accounted for nearly 61% of the response. Practitioners can implement the recommendations using widely available tools and data.
Keywords:
membrane separation processesparticle swarm optimisationinduction motorimage segmentationstructural health monitoringmodel predictive control
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