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The kinetics of bulk thermal polymerization of styrene over the range of 100 200 °C has been studied based on three stage polymerization model (TSPM) in this paper.
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The work has been intended and implemented based on three stages.
The proposed approach is based on three stages as shown in Fig. 1.
The proposed approach is based on three stages which (1) use neural networks for constructing a response function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating overall performance of a specific factor combination, and (3) use a genetic algorithm to optimize parameter design.
It is based on three stages: FB devolatilization, non-catalytic air/steam reforming of the gas coming from the devolatilizer, and chemical filtering of the gas and gasification of the char in a moving bed supplied with the char generated in the devolatilizer.
A mixed integer nonlinear programming formulation based on two stage stochastic programming method is developed to solve this problem to optimality.
In the current understanding of skin carcinogenesis, several animal models which are based on two stage carcinogenesis model framework have been developed.
CASA is based on two stages: segmentation and grouping.
The proposed system is based on two stages.
This control strategy is based on two stages.
The decomposition method used in this paper is based on two stages of consecutive data reduction.
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