Solidification model is developed based on control volume method for steel continuous casting process, which is nonlinear and non-differential, and parameters of convective heat transfer coefficient for each segment o...
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ISBN:
(纸本)1424400201
Solidification model is developed based on control volume method for steel continuous casting process, which is nonlinear and non-differential, and parameters of convective heat transfer coefficient for each segment of the secondary cooling zone are ascertained, a new hybrid particleswarmalgorithm (CPSO) is introduced to improve the optimizing performance by embedding the chaotic search in the particles swarmalgorithm. It is used to identify the convective heat transfer coefficients according to billet surface temperature and shell thickness. Compared with the empirical formula method, it has a better agreement with trail data.
With developments of technology of computer and network, researching on distributed measurement system becomes one of the hot problems in the field of automatic test. However, existing resolutions to distributed measu...
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With developments of technology of computer and network, researching on distributed measurement system becomes one of the hot problems in the field of automatic test. However, existing resolutions to distributed measurement system still have great limit,e.g. intelligence, self-adaptivity, collaboration, system load balance and integer view, and their capabilities need to be enhanced. Based on two key projects, this paper studies on collaboration mechanism and real-time of communication platform in distributed measurement system comprehensively and systematically.
The optimal sizing design of truss structures is studied using the recently proposed particle swarm optimization algorithm (PSOA). The algorithm mimics the social behavior of birds. Individual birds in the flock excha...
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The optimal sizing design of truss structures is studied using the recently proposed particle swarm optimization algorithm (PSOA). The algorithm mimics the social behavior of birds. Individual birds in the flock exchange information about their position, velocity and fitness, and the behavior of the flock is then influenced to increase the probability of migration to regions of high fitness. A simple approach is presented to accommodate the stress and displacement constraints in the initial stages of the swarm searches. Increased social pressure, at the cost of cognitive learning, is exerted on infeasible birds to increase their rate of migration to feasible regions. Numerical results are presented for a number of well-known test functions, with dimensionality of up to 21.
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