Crystallizer modeling method and crystallizer modeling system

Abstract

A crystallizer modeling method according to an embodiment of the present disclosure may comprise the steps of: calculating a first stress distribution of a first crystallizer; setting a parameter required for modeling a second crystallizer scaled down from the first crystallizer; calculating a second stress distribution of the second crystallizer on the basis of the set parameter; comparing the second stress distribution with the first stress distribution; determining a parameter for calculating a second stress distribution matching the first stress distribution; and designing the second crystallizer on the basis of the parameter.

Description

Crystallizer modeling method and crystallizer modeling system

[0001] [Cross-citation with related applications]

[0002] This application claims priority to Korean Patent Application No. 10-2024-0093067, filed July 15, 2024, the entire disclosure of which is incorporated herein by reference.

[0003] [Technical Field]

[0004] The present invention relates to a crystallizer modeling method and a crystallizer modeling system.

[0005] A crystallizer is a device that arranges atoms or molecules into a crystal lattice structure to minimize their energy states. Crystallizers can be used in the pharmaceutical, food, and petrochemical industries.

[0006] Crystallizers can be classified into cooling crystallizers, evaporative crystallizers, and precipitation crystallizers, depending on the method by which particles are crystallized. Among these crystallizers, evaporative crystallizers are generally used in the bio industry.

[0007] An evaporative crystallizer may include a crystal vessel, a circulation pump, a heat exchanger, and a condenser. The solvent evaporated from the crystal vessel by the heat exchanger may be separated, and this process may be achieved by forced circulation by a circulation pump.

[0008] Such forced circulation evaporative crystallizers can be used in actual processes, but there is a growing need for a modeling method for down-scaled crystallizers of forced circulation evaporative crystallizers in order to optimize them.

[0009] The problem to be solved by the present invention is to provide a modeling method for a downscaled crystallizer of a forced circulation evaporative crystallizer and a modeling system for the crystallizer.

[0010] A crystallizer modeling method according to an embodiment of the present disclosure includes a step of calculating a first stress distribution of a first crystallizer, a step of setting parameters required for modeling a second crystallizer scaled down from the first crystallizer, a step of calculating a second stress distribution of the second crystallizer based on the set parameters, a step of comparing the second stress distribution with the first stress distribution, a step of determining the parameters for calculating the second stress distribution matching the first stress distribution, and a step of designing the second crystallizer based on the parameters.

[0011] A crystallizer modeling system according to an embodiment of the present disclosure includes a first crystallizer, a second crystallizer scaled down from the first crystallizer, a stress distribution calculation unit configured to measure a first stress distribution of the first crystallizer and a second stress distribution of the second crystallizer, and a processor configured to control the stress distribution calculation unit to calculate the second stress distribution according to preset parameters, and to determine the parameters for calculating the second stress distribution that matches the first stress distribution among the calculated second stress distributions.

[0012] According to the embodiment of the present disclosure, modeling of a downscaled batch crystallizer through the shear stress distribution of a forced circulation evaporative crystallizer is possible, and therefore modeling of a batch crystallizer with performance similar to that of a forced circulation crystallizer may be possible.

[0013] According to the embodiments of the present disclosure, a downscaled batch crystallizer of a forced circulation evaporative crystallizer can be modeled, thereby enabling optimization of a forced circulation evaporative crystallizer through a batch crystallizer.

[0014] FIG. 1 is a block diagram of a crystallizer modeling system according to an embodiment of the present disclosure.

[0015] FIG. 2 is a flowchart of a crystallizer modeling method according to one embodiment of the present disclosure.

[0016] FIG. 3 and FIG. 4 are flowcharts of a crystallizer modeling method according to another embodiment of the present disclosure.

[0017] FIG. 5 is a vertical cross-sectional view of a second crystallizer according to an embodiment of the present disclosure.

[0018] FIG. 6 is a plan view of a second crystallizer according to an embodiment of the present disclosure.

[0019] FIG. 7 is a schematic diagram of the type of impeller blade of the second crystallizer according to an embodiment of the present disclosure.

[0020] FIG. 8 is a drawing for comparing the shear stress distributions of the first crystallizer and the second crystallizer according to an embodiment of the present disclosure.

[0021] FIG. 9 is a drawing for comparing the shear stress distribution according to the type and rotational angular velocity of the impeller blade of the second crystallizer according to the embodiment of the present disclosure with the shear stress distribution of the first crystallizer.

[0022] FIG. 10 is a drawing for comparing the shear stress distribution of the second crystallizer designed according to an embodiment of the present disclosure with the shear stress distribution of the first crystallizer to verify the shear stress distribution.

[0023] Hereinafter, some embodiments of the present invention will be described in detail with reference to exemplary drawings. When designating components in each drawing, it should be noted that, where possible, identical components are given the same reference numerals, even if they appear in different drawings. Furthermore, when describing embodiments of the present invention, detailed descriptions of known components or functions will be omitted if they are deemed to hinder understanding of the embodiments of the present invention.

[0024] In this specification, the forward / backward, left / right, and up / down directions are referred to for convenience of explanation and may be directions that are orthogonal to each other. The horizontal and vertical directions are referred to for convenience of explanation and may be directions that are orthogonal to each other. However, these directions are determined relative to the direction in which the components of the crystallizer are arranged, and the up / down direction may not necessarily mean the vertical direction.

[0025] Additionally, terms including ordinal numbers such as “first,” “second,” etc. used herein may be used to describe various components, but the components are not limited by the terms, and the terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as the second component, and similarly, the second component may also be referred to as the first component. The term “and / or” includes any combination of a plurality of related listed items or any item among a plurality of related listed items.

[0026] FIG. 1 is a block diagram of a crystallizer modeling system according to an embodiment of the present disclosure. FIG. 2 is a flowchart of a crystallizer modeling method according to an embodiment of the present disclosure.

[0027] Referring to FIG. 1, the crystallizer modeling system (1) may include a first crystallizer (100), which is a forced circulation evaporative crystallizer used in an actual process, and a second crystallizer (200), which is a batch evaporative crystallizer scaled down from the first crystallizer (100).

[0028] The first crystallizer (100) is a forced circulation evaporative crystallizer, and may include a crystal container (110) in which crystallization takes place, a heat exchanger 130 for exchanging heat with a medium (e.g., steam) to classify and crystallize a process liquid within the crystal container (110), and a first condenser (140) for condensing evaporated gas by receiving heat from the medium. The first crystallizer (100) may include a circulation pump (120) that collects liquid from the process liquid within the crystal container (110), classifies crystallized particles, and then circulates the liquid back to the crystal container (110) through the heat exchanger (130).

[0029] The first crystallizer (100) may be constructed on a relatively large scale for use in actual processes. Due to this size, it may be difficult to predict crystal performance through the first crystallizer (100), and designing the first crystallizer (100) to optimize crystal performance may be difficult.

[0030] To address these issues, according to an embodiment of the present disclosure, by modeling a second crystallizer (200) scaled down from a first crystallizer (100), the crystal performance is predicted through the second crystallizer (200), and through this, a design for optimization of the first crystallizer (100) is intended.

[0031] In particular, in the case of the first crystallizer (100) used in an actual process and the crystallizer scaled down from the first crystallizer (100), even if the process liquid having the same properties is used, differences may occur in the size, particle shape, particle size, etc. of the crystals produced. To address this issue, a second crystallizer (200) that simulates the shear stress of the first crystallizer (100) that affects crystal attrition or crystal growth was modeled according to an embodiment of the present disclosure.

[0032] The second crystallizer (200) may include a main body (210) in which a process liquid is introduced and evaporated by a medium (e.g., steam), an impeller blade (220) that is provided to be rotatable around a central axis (220a, see FIG. 5) provided at the center of the main body (210), and a baffle (230) that extends from the inner surface of the main body (210) toward the central axis (220a). In addition, the second crystallizer (200) may include a second condenser (240) for condensing the evaporated gas.

[0033] The impeller blade (220) may be configured to transfer heat to the process liquid contained inside the main body (210) while imparting flow characteristics. The baffle (230) may be configured to be installed inside the main body (210) to cause confusion in the process liquid, thereby increasing the heat transfer rate or the movement rate of the process liquid, and to collect floating particles by colliding them with inertial force.

[0034] According to an embodiment of the present disclosure, a second crystallizer (200) having a shear stress distribution similar to that of the first crystallizer (100) can be provided on a laboratory scale, so that optimization of the first crystallizer (100) can be achieved through the second crystallizer (200).

[0035] The crystallizer modeling system (1) may include a control unit (300) electrically connected to a first crystallizer (100) and a second crystallizer (200). The control unit (300) may include a memory (310) and a processor (320).

[0036] The memory (310) may include volatile memory such as Static Random Access Memory (S-RAM) and Dynamic Random Access (D-RAM) for temporarily storing data while power is supplied, and non-volatile memory such as Read Only Memory (ROM) and Erasable Programmable Read Only Memory (EPROM) for preserving data even when power is cut off.

[0037] The processor (320) may include various logic circuits and operation circuits, process data according to a program provided from the memory (310), and generate a control signal according to the processing result.

[0038] The processor (320) can control the stress distribution calculation unit (400) described below to calculate a second shear stress distribution according to preset parameters. In addition, the processor (320) can identify a second shear stress distribution that matches a first shear stress distribution among the second shear stress distributions calculated according to each of a plurality of parameters, and determine a parameter for calculating the identified second shear stress distribution.

[0039] The crystallizer modeling system (1) may include a stress distribution calculation unit (400) provided to calculate a first shear stress distribution of a first crystallizer (100) and a second shear stress distribution of a second crystallizer (200).

[0040] The stress distribution calculation unit (400) can obtain the first shear stress distribution and the second shear stress distribution through CFD (Computational Fluid Dynamics) and transmit data on the first shear stress distribution and the second shear stress distribution to the memory (310).

[0041] Below, with reference to FIG. 2, the modeling method of the processor (320) will be described in detail.

[0042] The processor (320) can control the stress distribution calculation unit (400) according to the crystallizer modeling method.

[0043] When a start signal is applied to the processor (320), the modeling method can be started (S10). The crystallizer modeling method by the processor (320) can include a step of calculating the first shear stress distribution of the first crystallizer (100) as a reference (S20). At this time, the processor (320) can transmit an electrical signal to the stress distribution calculation unit (400), and the stress distribution calculation unit (400) can obtain the first shear stress distribution through CFD (Computational Fluid Dynamics).

[0044] Thereafter, the crystallizer modeling method can set parameters required for modeling the second crystallizer (200) (S30). At this time, the parameters may include the type of impeller blade (220), the number of baffles (230), the spacing between the impeller blade (220) and the baffle (230), or the rotational angular velocity of the impeller blade (220).

[0045] The crystallizer modeling method may include a step of calculating a second shear stress distribution based on each of several set parameters (S40). At this time, the processor (320) may transmit an electrical signal to the stress distribution calculation unit (400), and the stress distribution calculation unit (400) may obtain the second shear stress distribution through CFD (Computational Fluid Dynamics).

[0046] The crystallizer modeling method may include a step of comparing the second shear stress distribution and the first shear stress distribution (S50).

[0047] Thereafter, the crystallizer modeling method may include a step of determining parameters that produce a second stress distribution matching the first shear stress distribution (S60).

[0048] In other words, the processor (320) can calculate a second shear stress distribution that matches the first shear stress distribution among a plurality of second shear stress distributions based on each of the above-described parameters. In this case, the second shear stress distribution that matches the first shear stress distribution may mean a second shear stress distribution that is most similar to the first shear stress distribution among the plurality of second shear stress distributions.

[0049] Thereafter, the crystallizer modeling method may include a step of designing a second crystallizer (200) based on parameters that produce a second stress distribution matching the first stress distribution (S70). At this time, the second crystallizer (200) may mean that the volume of the main body (210), the type of the impeller blades (220), the number of baffles (230), the spacing between the impeller blades (220) and the baffles (230), or the rotational angular velocity of the impeller blades (220) has been determined by the processor (320).

[0050] The subsequent crystallizer modeling method may include a step of verifying the simulation of the shear stress distribution of the second crystallizer (200) with respect to the first crystallizer (100) (S80). At this time, the simulation verification of the second crystallizer (200) may be a step of recalculating the second shear stress distribution of the second crystallizer (200) designed by the stress distribution calculation unit (400) and comparing it with the first shear stress distribution of the first crystallizer (100).

[0051] At this time, if it is determined that the second shear stress distribution of the second crystallizer (200) is similar to the first shear stress distribution of the first crystallizer (100) according to a predetermined standard, it can be determined that the second crystallizer (200) is designed smoothly.

[0052] Afterwards, the modeling method of the processor (320) can be terminated (S90).

[0053] FIG. 3 and FIG. 4 are flowcharts of a crystallizer modeling method according to another embodiment of the present disclosure.

[0054] Referring to FIGS. 3 and 4, a crystallizer modeling method according to another embodiment of the present disclosure may include, similarly to the crystallizer modeling method illustrated in FIG. 2, a step (S20) of calculating a first shear stress distribution of a first crystallizer (100) as a reference after the crystallizer modeling method is started (S10), a step (S30) of setting parameters necessary for modeling a second crystallizer (200), and a step (S40) of calculating a second shear stress distribution based on each of the set parameters.

[0055] In addition, a crystallizer modeling method according to another embodiment of the present disclosure may include, similarly to the crystallizer modeling method illustrated in FIG. 2, a step (S50) of comparing a second shear stress distribution with a first shear stress distribution, a step (S60) of determining parameters for calculating a second stress distribution matching the first shear stress distribution, a step (S70) of designing a second crystallizer (200) based on the parameters for calculating the second stress distribution matching the first stress distribution, and a step (S80) of verifying a simulation of a shear stress distribution of the second crystallizer (200) with respect to the first crystallizer (100).

[0056] Thereafter, a crystallizer modeling method according to another embodiment of the present disclosure may include a step (S100) of calculating the crystal performance of a second crystallizer (200) designed for each of several process solutions. At this time, the designed second crystallizer (200) may refer to a second crystallizer (200) designed through determined parameters. In addition, the crystal performance of the second crystallizer (200) may be a performance for determining crystallization characteristics such as crystal size, particle shape, and particle size, depending on each process solution.

[0057] Thereafter, the crystallizer modeling method may include a step (S110) of predicting the crystal performance of the first crystallizer (100) according to the new method based on the crystal performance of the second crystallizer (200) or a step (S120) of calculating the optimized shear stress distribution of the first crystallizer (100) according to the process solution.

[0058] That is, the modeling method according to another embodiment of the present disclosure may include a step (S110) of predicting the crystal performance of the first crystallizer (100) according to the new method based on the calculated crystal performance of the second crystallizer (200). In other words, the processor (330) can predict the crystal performance of the first crystallizer (100) according to the new method through the calculated crystal performance of the second crystallizer (200).

[0059] At this time, the new method may mean a new method of adding an additive to the process solution to improve crystal performance in the first crystallizer (100) or a new method of varying the maximum concentration of the process solution.

[0060] In contrast, a modeling method according to another embodiment of the present disclosure may include a step (S120) of calculating an optimized shear stress distribution of the first crystallizer (100) for each process liquid based on the calculated crystal performance of the second crystallizer (200). At this time, the optimized shear stress distribution of the first crystallizer (100) may mean a shear stress distribution for optimizing the crystal performance of the first crystallizer (100) for each process liquid, and may be different for each process liquid.

[0061] Thereafter, a modeling method according to another embodiment of the present disclosure may include a step (S130) of designing a first crystallizer (100) having an optimized shear stress distribution. In other words, the processor (320) may design a first crystallizer (100) having an optimized shear stress distribution.

[0062] At this time, the step of designing the first crystallizer (100) may include determining the type of the circulation pump (120) of the first crystallizer (100) or the flow rate circulated by the circulation pump (120) by the processor (320).

[0063] Afterwards, the processor (320) can terminate the crystallizer modeling method (S140).

[0064] Through the above-described process, the shear stress distribution of the first crystallizer (100), which is a forced circulation evaporative crystallizer used in an actual process, which affects the crystal performance of the first crystallizer (100), and the second shear stress distribution of the second crystallizer (200), which is a scaled-down batch evaporative crystallizer of the first crystallizer (100), can be compared to design the second crystallizer (200). In addition, designing a first crystallizer (100) optimized for each new process or process solution that is difficult to predict in the first crystallizer (100) can be accomplished through the second crystallizer (200).

[0065] Through this process, problems that may occur in the first crystallizer (100) can be identified in advance, and the first crystallizer (100) can be designed taking these into consideration, so that the first crystallizer (100) can be optimized, and crystal performance can be improved through the first crystallizer (100).

[0066] Below, the modeling method described above will be discussed in detail with reference to FIGS. 5 to 10.

[0067] Fig. 5 is a vertical cross-sectional view of a second crystallizer according to an embodiment of the present disclosure. Fig. 6 is a plan view of a second crystallizer according to an embodiment of the present disclosure. Fig. 7 is a schematic diagram of the type of impeller blade of the second crystallizer according to an embodiment of the present disclosure.

[0068] Referring to FIGS. 5 to 7, the second shear stress distribution of the second crystallizer (200, see FIG. 1) can be formed differently by various parameters.

[0069] For example, various parameters may include the volume of the body (210), the type of impeller blades (220), the rotational angular velocity of the impeller blades (220), the number of baffles (230), the spacing between the impeller blades (220) and the baffles (230), etc.

[0070] Within the main body (210), an impeller blade (220) may be provided that is rotatable around a central axis (220a) extending in the vertical direction of the main body (210) from the center of the main body (210) to impart flow characteristics to the process liquid.

[0071] The impeller blades (220) may include first impeller blades (221) that are provided as a pair with respect to a central axis (220a) and extend perpendicularly to the central axis (220a) in opposite directions, and second impeller blades (222) that are provided as a pair when viewed from above and extend in opposite directions with the upper end connected to the central axis (220a) rotated in the rotational direction or the opposite direction of rotation, compared to the lower end connected to the central axis (220a). The second impeller blades (222) are provided with two blades like the first impeller blades (221), but may be formed in a shape in which the blades are inclined compared to the first impeller blades (221).

[0072] In addition, the impeller blade (220) may include a third impeller blade (223) extending vertically in four directions with respect to the central axis (220a) with respect to the central axis (220a), and a fourth impeller blade (224) extending in four directions with the upper end connected to the central axis (220a) rotated in the direction of rotation or the opposite direction of rotation when viewed from above, compared to the lower end connected to the central axis (220a). The fourth impeller blade (224) is provided with four blades like the third impeller blade (223), but may be formed in a shape in which the blades are inclined compared to the third impeller blade (223).

[0073] Additionally, a baffle (230) extending from the inner surface of the main body (210) toward the central axis (220a) may be provided inside the main body (210). The baffles (230) may be arranged in four pieces according to the rotational direction of the central axis (220a) as illustrated in FIG. 6, but are not limited thereto.

[0074] At this time, the diameter of the central axis (220a) may be provided as L1. The horizontal protrusion length of the baffle (230) may be provided as L2. In addition, the length between the two ends of the impeller blades (220) extending in opposite directions may be provided as L3, and further, when viewed from above, the diameter of the main body (210) may be provided as L4.

[0075] In addition, the vertical height of the impeller blade (220) may be H1, the vertical height between the lower end of the impeller blade (220) and the lower end of the main body (210) may be H2, and the height at which the process liquid is received may be H3. In addition, the height of a portion provided at the upper or lower end of the main body (210) and convexly formed toward the upper or lower end of the main body (210) may be H4. The height of the main body (210) excluding each of the upper and lower ends H4 may be H5.

[0076] These parameters may also be included in the parameters of the second crystallizer (200) described above and may affect the volume of the second crystallizer (200), etc.

[0077] Hereinafter, the process of determining the parameters of the second crystallizer (200) will be described in detail with reference to FIGS. 8 to 10.

[0078] FIG. 8 is a diagram for comparing the shear stress distributions of a first crystallizer and a second crystallizer according to an embodiment of the present disclosure. FIG. 9 is a diagram for comparing the shear stress distribution of a second crystallizer according to an embodiment of the present disclosure according to the type and rotational angular velocity of the impeller blades with that of the first crystallizer. FIG. 10 is a diagram for comparing the shear stress distribution of a second crystallizer designed according to an embodiment of the present disclosure with that of the first crystallizer to verify the shear stress distribution.

[0079] Hereinafter, with reference to FIGS. 8 to 10, an example of a process for designing a second crystallizer (200) having a second shear stress distribution similar to the first shear stress distribution of the first crystallizer (100) will be described through the shear stress distributions of the first crystallizer (100), the second-1 crystallizer (200-1) having a volume of 60 L, and the second-2 crystallizer (200-2) having a volume of 2 L. However, the crystallizer modeling system (1) and the crystallizer modeling method according to an embodiment of the present invention are not limited thereto.

[0080] Referring to Fig. 8, the shear stress distribution for each volume ratio of the first crystallizer (100), the second-1 crystallizer (200-1) having a volume of 60 L, and the second-2 crystallizer (200-2) having a volume of 2 L was obtained through CFD.

[0081] For each shear stress distribution, various information needs to be input, such as information on the structure of each crystallizer (100, 200-1, 200-2), material properties of the process liquid, the type and rotational angular velocity of the impeller blade (220, see Fig. 1), the number and type of baffles (230), and the spacing between the impeller blades (220) and the baffles (230).

[0082] Accordingly, the second shear stress distribution for each volume ratio of the 2-1 crystallizer (200-1) and the 2-2 crystallizer (200-2) can be obtained.

[0083] Here, the impeller blades (220) of each of the 2-1 crystallizer (200-1) and the 2-2 crystallizer (200-2) may be equipped with one of the first to fourth impeller blades (221, 222, 223, 224) described above, and may be equipped with the same impeller blades (220), but may also be equipped with different impeller blades (220).

[0084] Among the second shear stress distributions of each of the second-1 crystallizer (200-1) and the second-2 crystallizer (200-2), the second crystallizer (200-1, 200-2) capable of simulating the first shear stress distribution of the first crystallizer (100) can be determined.

[0085] The first crystallizer (100), the second-1st and second-2nd crystallizers (200-1, 200-2) may each have different volume ratios for various parts constituting the crystallizer. For example, the volume ratio of the first crystallizer (100) may refer to the ratio of the volume of each component, such as a pump or a heat exchanger, to the total volume of the first crystallizer (100). In addition, for example, the volume ratio of the second-1st and second-2nd crystallizers (200-1, 200-2) may refer to the ratio of each component of the second-1st and second-2nd crystallizers (200-1, 200-2) to the total volume of each of the second-1st and second-2nd crystallizers (200-1, 200-2).

[0086] Accordingly, the drawing illustrated in FIG. 8 can be understood as a drawing showing the distribution of shear stress according to the volume ratio of each of the first crystallizer (100), the second-1, and the second-2 crystallizers (200-1, 200-2).

[0087] Accordingly, it can be confirmed that the shear stress distribution for each volume ratio of the first crystallizer (100) is provided within a range of about 0.01 to 10 Pa, the shear stress distribution for each volume ratio of the second-first crystallizer (200-1) is provided within a range of about 0.0001 to 0.1 Pa, and the shear stress for each volume ratio of the second-second crystallizer (200-2) is provided within a range of 0.001 to 1 Pa.

[0088] It can be confirmed that there is a difference of approximately 10 times between the range of the second shear stress distribution for each volume ratio of the 2-1 crystallizer (200-1) and the range of the second shear stress distribution for each volume ratio of the 2-2 crystallizer (200-2). In addition, it can be confirmed that there is a difference of approximately 10 times between the range of the second shear stress distribution for each volume ratio of the 2-2 crystallizer (200-2) and the range of the first shear stress distribution for each volume ratio of the 1st crystallizer (100).

[0089] Through this, it can be confirmed that the 2-2 crystallizer (200-2) can simulate the first shear stress distribution for each volume ratio of the 1st crystallizer (100) better than the 2-1 crystallizer (200-1).

[0090] Additionally, shear stresses of 1 Pa or more in the first crystallizer (100) can be generated mostly by the heat exchanger (130, see FIG. 1), and the maximum shear stress can be generated in the impeller blades (not shown) of the circulation pump (120).

[0091] Accordingly, in the second-second crystallizer (200-2) similar to the first crystallizer (100), the volume of the main body (210) can be determined and designed so that the volume of the process solution is at the level of 70% of the volume of the main body (210).

[0092] Thereafter, in relation to the type of impeller blade (220) in the 2-2 crystallizer (200-2), one of the first to fourth impeller blades (221, 222, 223, 224, see FIG. 7) can be selected.

[0093] Afterwards, the rotational angular speed of the impeller blade (220) can be selected from among 250, 500, 750, and 1000 rpm.

[0094] As shown in Fig. 9, the shear stress distribution of the first crystallizer (100) and the second-second crystallizer (200-2) according to each parameter can be confirmed.

[0095] Accordingly, it can be confirmed that the second shear stress distribution of the 2-2 crystallizer (200-2) is closest to the first shear stress distribution of the 1st crystallizer (100) when the number of impeller blades (220) is 4 rather than 2 and the third impeller blade (223) is perpendicular to the central axis (220a).

[0096] Additionally, it can be confirmed that as the rotational angular velocity of the impeller blade (220) increases, the second shear stress distribution is closest to the first shear stress distribution.

[0097] In this way, the impeller blade (220) of the 2-2 crystallizer (200-2) can be determined as the third impeller blade (223), and the rotational angular velocity of the impeller blade (220) can be determined as the largest rotational angular velocity.

[0098] Afterwards, when the impeller blade (220) rotates at high speed within the main body (210) of the 2-2 crystallizer (200-2), a strong vortex may be formed in the process liquid, so it may be necessary to design a baffle (230, see FIG. 5) to prevent this.

[0099] In more detail, the number of baffles (230) can be determined to be four because the gap between the baffle (230) and the impeller blade (220) becomes smaller, which allows for a higher shear stress distribution.

[0100] In addition, the gap between the baffle (230) and the impeller blade (220) can be formed between 1 mm and 10 mm, and as the rotational angular velocity of the impeller blade (220) increases, the gap can be determined to be 3 mm, which is a gap that can be implemented in terms of equipment while not interfering with the impeller blade (220).

[0101] As described above, the design of the 2-2 crystallizer (200-2) can be completed. Based on this 2-2 crystallizer (200-2), the second shear stress distribution can be confirmed in Fig. 10 through CFD at rotational angular speeds of the impeller blade (220) of 1000, 1250, 1500, 1750, and 2000 rpm.

[0102] It was confirmed that the 2-2 crystallizer (200-2) whose parameters were determined through FIG. 10 is capable of simulating a relatively low region in the first shear stress distribution of the first crystallizer (100) at approximately 1250 rpm or more, and it can be confirmed that as the rotational angular velocity of the impeller blade (220) increases, it is possible to simulate a relatively high region in the first shear stress distribution of the first crystallizer (100).

[0103] According to the above-described principle, it may be possible to design a second crystallizer (200) having a second shear stress distribution similar to the first shear stress distribution of the first crystallizer (100). Thereafter, the first crystallizer (100) may be optimized through the second crystallizer (200), or risk factors that may occur in the first crystallizer (100) may be detected in advance, and the first crystallizer (100) may be designed based on this.

[0104] The above description is merely an illustrative illustration of the technical idea of ​​the present invention, and those skilled in the art will appreciate that various modifications and variations can be made without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are intended to illustrate rather than limit the technical idea of ​​the present invention, and the scope of the technical idea of ​​the present invention is not limited by these embodiments. The scope of protection of the present invention should be interpreted by the following claims, and all technical ideas within a scope equivalent thereto should be interpreted as being included in the scope of the rights of the present invention.

Claims

1. A step of calculating the first stress distribution of the first crystallizer; A step of setting parameters required for modeling a second crystallizer scaled down from the first crystallizer; A step of calculating a second stress distribution of the second crystallizer based on the above-set parameters; A step of comparing the second stress distribution and the first stress distribution; A step of determining the parameters for producing the second stress distribution matching the first stress distribution; and A crystallizer modeling method comprising: a step of designing the second crystallizer based on the above parameters; 2. In paragraph 1, A crystallizer modeling method in which the first stress distribution and the second stress distribution are obtained through CFD (Computational Fluid Dynamics).

3. In paragraph 1, A crystallizer modeling method including the type of impeller blades that are rotatable around a central axis provided at the center of the main body of the second crystallizer.

4. In paragraph 3, A crystallizer modeling method wherein the above parameters include the number of baffles extending from the inner surface of the main body toward the central axis.

5. In paragraph 4, A crystallizer modeling method wherein the above parameters include the gap between the impeller blades and the baffle.

6. In paragraph 3, A crystallizer modeling method wherein the above parameters include the rotational angular velocity of the impeller blades.

7. In paragraph 1, A crystallizer modeling method further comprising a step of calculating the crystal performance of the designed second crystallizer according to the process solution.

8. In paragraph 7, A crystallizer modeling method further comprising: a step of designing the first crystallizer having an optimized stress distribution of the first crystallizer through the second crystallizer based on the above-determined decision performance; 9. In paragraph 8, The step of designing the above first crystallizer is: A crystallizer modeling method further comprising determining a circulation pump type of the first crystallizer and a circulation flow rate of the first crystallizer.

10. In paragraph 7, A crystallizer modeling method further comprising: a step of predicting crystal performance according to a new method of the first crystallizer based on the above crystal performance calculation; 11. In paragraph 1, The above first crystallizer is a forced circulation evaporative crystallizer, A crystallizer modeling method wherein the second crystallizer is a batch evaporative crystallizer.

12. 1st crystallizer; A second crystallizer scaled down from the first crystallizer; A stress distribution calculation unit configured to measure the first stress distribution of the first crystallizer and the second stress distribution of the second crystallizer; and A crystallizer modeling system comprising: a processor for controlling the stress distribution calculation unit to calculate the second stress distribution according to preset parameters, and determining the parameters for calculating the second stress distribution that matches the first stress distribution among the calculated second stress distributions; 13. In paragraph 12, The above stress distribution calculation unit is a crystallizer modeling system that obtains the first stress distribution and the second stress distribution through CFD (Computational Fluid Dynamics) of the first crystallizer and the second crystallizer.

14. In paragraph 12, A crystallizer modeling system in which the preset parameters include the type of impeller blades that are rotatable around a central axis provided at the center of the main body of the second crystallizer, the number of baffles extending from the inner surface of the main body toward the central axis, the spacing between the impeller blades and the baffles, and the rotational angular velocity of the impeller blades.

15. In paragraph 12, The above processor, A crystallizer modeling system designed to calculate the crystal performance according to the process solution of the second crystallizer through the above-determined parameters.

16. In paragraph 15, The above processor, A crystallizer modeling system that is provided to calculate the circulation pump type of the first crystallizer and the circulation flow rate of the first crystallizer, having an optimal stress distribution of the first crystallizer through the crystal performance of the second crystallizer.

17. In paragraph 15, The above processor, A crystallizer modeling system that predicts the crystal performance according to the new method of the first crystallizer through the crystal performance of the second crystallizer.

Images