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Investigators at Tianjin University Detail Findings in Chemical Engineering (Simulation based approach to optimal design of dividing wall column...

September 10, 2014



Investigators at Tianjin University Detail Findings in Chemical Engineering (Simulation based approach to optimal design of dividing wall column using random search method)

By a News Reporter-Staff News Editor at Journal of Engineering -- Investigators publish new report on Chemical Engineering. According to news reporting originating from Tianjin, People's Republic of China, by VerticalNews correspondents, research stated, "A systematic optimization method based on combination of radial basis function neural network (RBF-NN) and genetic algorithm (GA) is developed for optimal design of DWC. The RBF-NN is built by a series of rigorous simulations of DWC for different sets of stage numbers with available simulation software."

Our news editors obtained a quote from the research from Tianjin University, "Then, GA is applied to optimize the stage numbers of the DWC with an objective (cost) function evaluated with the results obtained by the RBF-NN. As a simulation based approach, the proposed method shows its strength in finding the optimal solution by just evaluating small portion of the possible combinations of the stage numbers, and thus can be known as a promising method for optimal design of DWC. Three case studies were solved to detect the optimal structure and their sensitivity to operational conditions was analyzed."

According to the news editors, the research concluded: "The results were shown encouraging compared with those found in the literature."

For more information on this research see: Simulation based approach to optimal design of dividing wall column using random search method. Computers & Chemical Engineering, 2014;68():38-46. Computers & Chemical Engineering can be contacted at: Pergamon-Elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Computers & Chemical Engineering - www.elsevier.com/wps/product/cws_home/349)

The news editors report that additional information may be obtained by contacting X.L. Ge, Tianjin University, Sch Chem Engn & Technol, Tianjin 300072, People's Republic of China. Additional authors for this research include X.G. Yuan, C. Ao and K.K. Yu.

Keywords for this news article include: Tianjin, People's Republic of China, Asia, Chemical Engineering

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Journal of Engineering


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