Prediction of New Distillation-Membrane Separation Integrated Process with Potential in Industrial Application

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@Article{ding:2021:Processes,

• author = "Xin Ding and Xiaohong Wang and Peng Du and Zenghu Tian and Jingxuan Chen",
• title = "Prediction of New {Distillation-Membrane} Separation Integrated Process with Potential in Industrial Application",
• journal = "Processes",
• year = "2021",
• volume = "9",
• number = "2",
• keywords = "genetic algorithms, genetic programming",
• ISSN = "2227-9717",
• URL = "https://www.mdpi.com/2227-9717/9/2/318",
• DOI = "doi:10.3390/pr9020318",
• abstract = "In this paper, a new integrated distillation-membrane separation process solution strategy based on genetic programming (GP) was established for azeotrope separation. Then, a price evaluation method based on the theory of unit membrane area was proposed, so that those membranes which are still in the experimental stage and have no actual industrial cost for reference can also be used in the experimental research. For different characteristics and separation requirements of various azeotropic systems, the solution strategy can be matched with difference pervaporation membranes, and the optimal distillation-membrane separation integrated process can be solved quickly and accurately. Taking methanol-toluene as an example, the separation operation was optimised by using the algorithm. The effects of different feed flows and compositions on the modification of the chitosan membrane were discussed. These results provide a reliable basis for the prospects for development and modification direction of membrane materials which are still in the experimental research stage.",
• notes = "also known as \cite{pr9020318}",

}

Genetic Programming entries for Xin Ding Xiao-Hong Wang Peng Du Zenghu Tian Jingxuan Chen

Citations