Multicriteria optimization of production conditions for a new phthalate-free PVC plasticizer
| Autor: | Mauricio Camargo Pardo, Christian Fonteix, Oscar Yesid Suárez Palacios, Paulo César Narváez Rincón, Jean-Pierre Corriou |
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| Přispěvatelé: | Grupo de Investigación en Procesos Químicos y Bioquímicos, Universidad Nacional de Colombia [Bogotà] (UNAL), Universidad Nacional de Colombia [Bogotà] (UNAL)-Universidad Nacional de Colombia [Bogotà] (UNAL), Laboratoire Réactions et Génie des Procédés (LRGP), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Equipe de Recherche sur les Processus Innovatifs (ERPI), Université de Lorraine (UL), Colciencias, PREMER, PREMER |
| Rok vydání: | 2014 |
| Předmět: |
business.industry
General Chemical Engineering Industrial scale Phthalate Pareto principle Plasticizer Evolutionary algorithm 02 engineering and technology [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences Multi-objective optimization 0104 chemical sciences chemistry.chemical_compound chemistry Production (economics) [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering Parametric identification Glycerol-ester Optimization Plasticizer Bioresources Modelling 0210 nano-technology Process engineering business Mathematics |
| Zdroj: | Journal of Industrial and Engineering Chemistry Journal of Industrial and Engineering Chemistry, Elsevier, 2014, 20, pp.1985-1992. ⟨10.1016/j.jiec.2013.09.021⟩ |
| ISSN: | 1226-086X |
| Popis: | International audience; Glycerol tri-isovalerate presents promising performance as new PVC plasticizer. To establish the conditions under which it must be produced on an industrial scale, a model of the process was developed and adjusted using experimental results and parametric identification with Fisher's maximum likelihood method. Tests were designed to study the influence of temperature, pressure, molar ratio and catalyst concentration on conversion. Also, a multiobjective optimization of the production conditions, in Pareto's sense, was performed using an evolutionary algorithm. Furthermore, a decision aid tool based on two different functions was utilized with the technique MACBETH to select the conditions for scale- up. |
| Databáze: | OpenAIRE |
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