Process intensification
Process intensification is a way to improve profitability and in this research program this is addressed in two ways: optimization of semicontinuous operations and transforming semibatch processes into continuous processes.
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Safety
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Process Optimization
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Advanced Mathematical Modeling
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Transforming semibatch processes into continuous processes
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SafetyIn most processes, polymer production is limited by the thermal characteristics of the reactor. Therefore, there is a strong interest in working close to the maximum heat removal capacity of the reactor. However, in some occasions, the safety of the operation might be compromised, and hence safety considerations must be integrated into the process strategy. A research project aiming at the experimental determination of key safety characteristics including heat of reaction, total adiabatic temperature, rates of temperature and pressure rise, reaction onset temperature, system vapor pressure versus temperature, maximum temperature and pressure, two-phase flow regime and temperature of no return is in progress. Process upsets conditions such as mischarge of reactants/catalysts, loss of stirring, loss of cooling and exposure to fire will be considered. This information will be integrated in the optimization and on-line control strategies.
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Process Optimization.A common problem in emulsion polymerization is to maximize production of a high quality polymer under safe conditions. Often, a compromise should be reached in this multivariable optimization problem because high production may lead to lower quality polymer or process conditions that yield an improvement in a given final property are deleterious for other properties. Process optimization is an on-going activity in our lab. Different approaches are being used. In some cases, classical optimization methods based on comprehensive mathematical models developed for a particular system are used. In other cases, optimization should be performed based on limited information. For example hybrid mathematical models that included rigorous material and energy balances and empirical equations for polymerization rates and molecular weights have been successfully used to maximize production rate and scrub resistance of vinyl acetate-VeoVa 10 latexes in industrial reactors. In another case, fuzzy logic was used to incorporate the operator experience in an on-line optimization. On-line process optimization for incorporation in on-line control strategies is the challenge for the next years. |
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Advanced Mathematical ModelingMathematical modeling is a way of summarizing and quantifying our knowledge about polymerization in dispersed media, and is required for process intensification. In addition, models are powerful tools for improving the understanding of complex processes, which may lead to better product quality. They may also be used to identify advantageous process conditions and risky situations that must be avoided. Intelligent use of models in experimental design may lead to substantial savings of time (and money). Models can also facilitate on-line control of emulsion polymerization reactors and are useful for the education and training of personnel. Advanced models for polymerization kinetics, multimonomer copolymerization, polymer composition and sequence distribution, molecular weight distribution, long and short chain branching, gel content, particle morphology and particle size distribution have been developed. Modeled systems include conventional emulsion polymerization, miniemulsion polymerization, microemulsion polymerization and dispersion polymerization. Mathematical modeling will be an on-going task in the research program. |
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Transforming semibatch processes into continuous processesMicrogAn approach for process intensification is to transform semibatch processes into continuous polymerizations. Several systems will be considered:
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