Experimental comparison and simulation of static and dynamic solid layer melt crystallization

Guardani, Roberto; Neiro, Sérgio Mauro da Silva; Bülau, Henrik; Ulrich, Joachim

doi:10.1016/s0009-2509(00)00445-0

Cited by 41 publications

(30 citation statements)

References 14 publications

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“…They presented analytic and numerical solutions describing the inward solidification of a binary melt on a finite slab and sphere, respectively, where the surfaces from which solidification commences are held at a constant temperature throughout the solidification process. Guardani et al [9] presented experimental results and simulation of static and dynamic solid-layer melt crystallization. The experiments were carried out in a static-layer crystallization, in which only natural convection influences mass and heat transfer, and in a dynamic-layer crystallization, in which forced convection is obtained by pumping the mother liquor as a falling film on a heat exchanger.…”

Section: Introductionmentioning

confidence: 99%

A Combined Analytic and Numerical Method for Predicting the Solid-Layer Growth From Melt Crystallization

Dai

Fen

Nassar

et al. 2003

Numerical Heat Transfer, Part A: Applications

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The kinetics of crystallization limit the rate in which crystal growth can occur without incorporation of undesired impurity. If the rate of heat transfer exceeds the mass transfer rate of the impurity, the impurity can solidify, contaminating the product. One would like to specify a rate of crystallization and determine the temperature profile of the crystallizer wall that would achieve this result. This is an inverse problem that has not been solved in the previous crystallizer models. A combined analytic and numerical method for solving the inverse problem is given in this article. The method is illustrated by an example.

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Section: Introductionmentioning

confidence: 99%

A Combined Analytic and Numerical Method for Predicting the Solid-Layer Growth From Melt Crystallization

Dai

Fen

Nassar

et al. 2003

Numerical Heat Transfer, Part A: Applications

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“…It is possible to achieve layer melt crystallization, by implementing freezing procedure the melted part under controlled conditions of a heat exchange. During the process a solid layer of crystals is generated adjacent to a cooled surface [122]. Konig et al also succeeded in applying the layer melt crystallization method for the purification of some ILs [123].…”

Section: The Recovery and Reuse Of Ilsmentioning

confidence: 99%

The Role of Ionic Liquids in the Lignin Separation from Lignocellulosic Biomass

2020

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Lignin is a natural polymer, one that has an abundant and renewable resource in biomass. Due to a tendency towards the use of biochemicals, the efficient utilization of lignin has gained wide attention. The delignification of lignocellulosic biomass makes its fractions (cellulose, hemicellulose, and lignin) susceptible to easier transformation to many different commodities like energy, chemicals, and materials that could be produced using the biorefinery concept. This review gives an overview of the field of lignin separation from lignocellulosic biomass and changes that occur in the biomass during this process, as well as taking a detailed look at the influence of parameters that lead the process of dissolution. According to recent studies, a number of ionic liquids (ILs) have shown a level of potential for industrial scale production in terms of the pretreatment of biomass. ILs are perspective green solvents for pretreatment of lignocellulosic biomass. These properties in ILs enable one to disrupt the complex structure of lignocellulose. In addition, the physicochemical properties of aprotic and protic ionic liquids (PILs) are summarized, with those properties making them suitable solvents for lignocellulose pretreatment which, especially, target lignin. The aim of the paper is to focus on the separation of lignin from lignocellulosic biomass, by keeping all components susceptible for biorefinery processes. The discussion includes interaction mechanisms between lignocellulosic biomass subcomponents and ILs to increase the lignin yield. According to our research, certain PILs have potential for the cost reduction of LC biomass pretreatment on the feasible separation of lignin.

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“…Layer crystallization from melts has been widely applied for the purification of organics and inorganics such as sucrose and milk fat, and in seawater desalination . Modeling of solid layer melt crystallization has focused on the temperature and composition profiles inside the crystal layer, and multiple stages of crystallizers can be designed to meet the required product purity . For layer crystallization, the liquid phase is always at a higher temperature than the solid phase, so that in melts, the temperature is required to be higher than the melting point, but layer crystallization from solutions can be operated at much lower temperatures…”

Section: Introductionmentioning

confidence: 99%

“…This article focuses on constructing a mathematical model to simulate the layer crystallization process in an annulus with and without a recirculation loop, which is focused on the growth stage as this is the slowest crystal rate process during cyclic operation. Mass and/or heat transfer models with solid‐layer growth on a cylindrical surface can be employed for many other applications, such as fouling in heat exchangers, biofilms in petroleum pipelines, and melt layer crystallization in a tank . However, to our knowledge this is the first article to thoroughly examine heat and mass transfer of a crystallization process with solid‐layer growth in an annulus with and without recirculation.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling and design of layer crystallization in a concentric annulus with and without recirculation

Zhou

Benyahia

et al. 2013

AIChE Journal

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A solution layer crystallization process in a concentric annulus is presented that removes the need for filtration. A dynamic model for layer crystallization with and without a recirculation loop is developed in the form of coupled partial differential equations describing the effects of mass transfer, heat transfer, and crystallization kinetics. The model predicts the variation of the temperature, concentration, and dynamic crystal thickness along the pipe length, and the concentration and temperature along the pipe radius. The model predictions are shown to closely track experimental data that were not used in the model's construction, and also compared to an analytical solution that can be used for quickly obtaining rough estimates when there is no recirculation loop. The model can be used to optimize product yield and crystal layer thickness

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Experimental comparison and simulation of static and dynamic solid layer melt crystallization

Cited by 41 publications

References 14 publications

A Combined Analytic and Numerical Method for Predicting the Solid-Layer Growth From Melt Crystallization

A Combined Analytic and Numerical Method for Predicting the Solid-Layer Growth From Melt Crystallization

The Role of Ionic Liquids in the Lignin Separation from Lignocellulosic Biomass

Mathematical modeling and design of layer crystallization in a concentric annulus with and without recirculation

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