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Limitations of mathematical modelling and numerical simulation of industrial and laboratory high-pressure processes

机译:工业和实验室高压过程的数学建模和数值模拟的局限性

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摘要

High pressures up to several hundreds of MPa are utilised in a wide range of applications in chemical engineering, bioengineering, and food engineering, aiming at selective control of (bio-)chemical reactions. Non-uniformity of process conditions may threaten the safety and quality of the resulting products as the process conditions such as pressure, temperature, and treatment history are crucial for the course of (bio-)chemical reactions. Therefore, thermofluid dynamical phenomena during the high-pressure process have to be examined, and tools to predict process uniformity and to optimise the processes have to be developed. Recently, mathematical models and numerical simulations of laboratory and industrial scale high-pressure processes have been set up and validated by experimental results. This contribution deals with the assumption of the modelling that relevant (bio-)chemical compounds are ideally dissolved or diluted particles in a continuum flow. By considering the definition of the continuum hypothesis regarding the minimum particle population in a distinct volume, limitations of this modelling and simulation are addressed.
机译:旨在选择性控制(生物)化学反应的化学工程,生物工程和食品工程中的广泛应用中使用了高达数百MPa的高压。工艺条件的不均匀性可能会威胁到最终产品的安全性和质量,因为工艺条件(例如压力,温度和处理历史)对于(生物)化学反应的过程至关重要。因此,必须检查高压过程中的热流体动力学现象,并且必须开发用于预测过程均匀性和优化过程的工具。最近,已经建立了实验室和工业规模高压过程的数学模型和数值模拟,并通过实验结果进行了验证。该贡献与建模的假设有关,即相关的(生物)化学化合物理想地是在连续流中溶解或稀释的颗粒。通过考虑关于不同体积中最小粒子种群的连续假设的定义,解决了这种建模和模拟的局限性。

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