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Article

From Batch to Continuous Small-Scale Production of Particles: Mixer Design Methodology for Robust Operation

Laboratory of Equipment Design, Department of Biochemical and Chemical Engineering, TU Dortmund University, Emil-Figge-Straße 68, 44227 Dortmund, Germany
*
Author to whom correspondence should be addressed.
Crystals 2024, 14(5), 398; https://doi.org/10.3390/cryst14050398
Submission received: 10 April 2024 / Revised: 22 April 2024 / Accepted: 23 April 2024 / Published: 25 April 2024
(This article belongs to the Section Biomolecular Crystals)

Abstract

:
Layered double hydroxides (LDHs) are a vital tool in many different areas, such as drug delivery, catalysis, anion exchange (materials), polymer processing, etc. Conventionally, LDHs are synthesized in a batch process that consists of particle generation and ripening, where product properties are manipulated for stability and the optimal uptake of genetic material. Continuous processing and intensive mixing holds high promise for improved particle generation and characteristic control. In this contribution, an iterative method, using the mentioned particle generation as a use case, was applied to quickly generate a continuous process optimization platform for continuous, plugging-free particle generation with the required characteristics. Assisted by rapid prototyping and additive manufacturing, a vortex mixer was produced that delivers satisfactory long-term results.

1. Introduction

Microreactors offer precise control over the intended reaction conditions [1,2]. The temperature, mixing regime, etc., can be accurately set, producing a product with homogeneous properties [2]. Although classical flow chemistry has utilized this concept for decades, the development of systems that are capable of the production of solids in microchannels is lagging behind [3,4]. This is mainly due to clogging and fouling in the channels, in most cases, caused by the desired product itself [3,5]. Since these products offer a variety of relevant applications, e.g., LDH drug delivery systems, as is the case in this work, research in this field is ongoing [3,4,5,6,7].

1.1. Layered Double Hydroxides

LDHs are ionic lamellar layered compounds that are classified as anionic clays and hydrotalcite-like structures [8,9,10,11,12,13]. Morphologically, they are small hexagonal crystals [9,14,15] composed of a large number of layers [8,16,17]. In the literature, LDH particles are described in the fields of catalysis, catalyst carriers, adsorbents, ion exchangers, polymer processing, electrodes, pharmacy, medicine, and evolutionary research [8,11,13,18,19,20,21]. LDHs have been prepared and characterized from various divalent and trivalent metal ion compositions [9,13,17,22,23]. The overall positive charge of the layers is balanced by intercalated, exchangeable anions ( A n ) and water bound via hydrogen bonds, as demonstrated in Figure 1 [8,24].
A particularly important property of LDH is its ability to bind large molecules and release them again depending on the pH value, which makes LDH a suitable carrier for a wide variety of substances [13,18,20]. A specific use case is that of small interfering ribonucleic acid (siRNA) being bound and stabilized by the positively charged layers of LDH via the negatively charged “sugar-phosphate backbone” and released in the target cells by changing the pH value [16,20,21]. As mentioned above, LDH can be used for many different applications [13,18,20], which makes this contribution interesting for the production of LDH in general and not only for RNA applications.
There are a variety of synthesis methods for obtaining synthetic LDHs [13,15,18,25]. The coprecipitation method, which is the most relevant for this work, is commonly used due to the simple production, low costs, and high crystallinity of the product [13,24,25]. Coprecipitation consists of three steps: mixing of the metal salt solution with the base, homogeneous nucleation by supersaturation, and the subsequent growth of the particles from the nuclei [26]. During the production, all three steps can (very rapidly) happen at the same time and a distinction between them is therefore impossible from a macroscopic point of view [10].
Despite many different investigations [13,14,15,19,27,28], there is a lack of understanding of the exact formation mechanisms of LDH NPs. As a result, the potential of NPs cannot yet be fully exploited [29].
The desired properties of LDHs in terms of crystallinity and size cannot always be achieved during synthesis [10,13,29]. In a preceding hydrothermal treatment, the particle size and, in some cases, the crystallinity increases with increasing temperature and time [13,29,30]. The temperature is particularly decisive here [31]. Temperatures of up to 200 °C are used [31,32], often in the range of 60–150 °C [9,12,23,30,33,34]. The ripening time varies from a few hours to several days depending on the temperature, LDH, and target size [27,30,31,32,33,34].

1.2. Microreactors

Microreactors have gained attention in the pharmaceutical and chemical industry in the last 20-25 years and have since been developed for a wide range of applications [35,36]. The main characteristics are good mixing with easily controllable residence times and process conditions [35,37]. This enables for high yields with good selectivity. As they are a suitable tool for process intensification, they are often integrated into existing processes [38]. Micromixers are classified into passive and active mixers. Passive mixers work exclusively with the energy supplied from the pumped components, while active mixers require another source of energy input such as stirrers or ultrasound [35]. To describe the flow conditions, the Reynolds number (Re), defined as,
Re = ρ · ν · L η ,
is often used with the characteristic length L, the related mean velocity ν , and the fluid properties of density ρ and dynamic viscosity η . The Re number identifies different flow regimes, classifying them into laminar, transient, and turbulent regimes [39]. Microreactors are often operated in the laminar or transient regime and have proven themselves to be a viable tool in research and development as well as in production processes. Numerous contributions that prove and discuss the benefits of microstructured devices exist [1,2,3,40,41,42]. These include increased heat and mass transfer due to the high surface-to-volume ratio, which enables for precise process control [2,41,42,43]. The microstructured channels and their mixing capabilities allow for reduced reaction times and, thus, decrease the necessary residence times, which, in turn, is a good starting point for process intensification [2,41,43]. Low internal volumes of the devices decrease the potential danger of hazardous substances, while resources are being saved [1,2,41,43]. Due to their potential in scale-up, by numbering up, etc., and the ease of integration in other continuous systems, microreactors have emerged to be extremely versatile and popular instruments [1,2,43].
The fabrication techniques of microfluidic parts can be divided into Microfabrication via photo and soft lithography and techniques such as micro-electro-discharge machining [1,42,44]. The second category is injection molding, where different polymerization techniques or thermosplasts come into play that are solidified to form the desired shape [1,44]. Finally, a recent technology to produce the above devices is additive manufacturing [45], which has made production more accessible due to low investment and operation costs [1,44,46,47]. Materials costs and production process costs as well as production times were reduced compared to the classical production routes. Additionally, this method is highly flexible and allows for the easy production of prototypes, for which the term rapid prototyping was coined.

1.3. Continuous Production of Solids in Microreactors

As discussed above, microreactors offer benefits that have motivated their application in the investigation of particles and their production processes. This includes modifying particle properties by the selection of the process, an example in which microreactors have been reported frequently [4,5,48]. This is also especially important in reactive crystallization or precipitation case studies [6,7,42,49,50,51,52,53], although applications in cooling crystallization, etc., also exist [54,55,56,57]. Precise temperature control and a continuous process character are major drivers for their application in cooling crystallization processes [55,56,57]. Precipitation processes, where the contact of reactant solutions causes rapid particle formation [58], were originally carried out batchwise without benefiting from the continuous operation scheme [59]. The production, however, can benefit from the fast mixing of the reactant solution and provide product particles with more homogeneous particle properties, which are desirable further downstream or for certain applications [4,5,48,59].
In line with expectations, the production of particles in microchannels presents a challenge regarding fouling and channel clogging, which hinders the continuous and reproducible operation of such devices to a large degree [4,5,48,59]. Different approaches concerning preventive surface treatment [4,60,61,62], particle surface modification [4,62], maintenance strategies [63,64], flow control and optimization [65], and optimized reactor design [44] have been proposed to address these challenges.
From the latter two, the following strategies have emerged. In microreactors with two-phase flow, the mixing is intensified by Taylor flow. This holds for the continuous and the disperse phase and also influences particles that are potentially carried in one of them [66]. On the one hand, this increases the mass and heat transfer; on the other hand, the tendency of clogging is reduced [67,68]. The respective devices may be made from materials such as silicon, polydimethylsiloxan (PDMS) or glass. They can also be created by simply using standard tubing from materials such as fluorinated ethylene propylene (FEP) [1,2,3]. By additionally using a coiled path of flow, the mixing is further intensified by Dean vortices due the centrifugal field [55,56,66].
The impinging jet mixer is often used in reactive crystallization or precipitation [69,70,71]. Here, two liquid streams (jets) collide (freely) and form a liquid sheet resulting in good mixing and, thus, the homogeneous formation of initial particles [69]. The jets usually meet in open air, but not necessarily [69]. Often, the resulting suspension is collected or passed on in equipment with increased dimensions where agglomeration can occur and needs to be prevented with additional measures [69,70,71]. The so-called vortex mixer or microreactors with swirling flow have multiple inlets that are tangentially connected to a mixing chamber where the streams meet [72,73,74]. The mixing chamber is often in the shape of a funnel with the point of highest mixing being close to the orifice [6]. Different implementations of this strategy exist with differences in the number of inlets, the size of channels and mixing chamber, and additional modifications such as the inlet channel position [6,7].
Further strategies to operate microstructured equipment with suspensions that do not necessarily include the reactor design include using pulsating flow and ultrasonic transducers [63,64,65,75,76].
The above considerations indicate that many facets of possible solutions to many different challenges exist and a holistic solution for all of them is beyond reality. Therefore, in this contribution, we demonstrate and discuss a method for a specific challenge regarding the conversion from the batch production of particles to an intensified continuous production. In particular, as discussed in the following, a piece of particle generation equipment was developed with the assistance of additive manufacturing and rapid prototyping.

2. Materials and Methods

For the transition of the LDH production from a batch to a continuous lab-scale process, rapid prototyping, via additive manufacturing, was used to ensure fast process development. Part of this development is defining and applying design criteria for the equipment (i.e., micromixer) itself. To qualitatively and quantitatively assess the design process and the outcome, analytical measures were taken into account. All of the above is described in detail in the following. Information on the suppliers of the chemicals and equipment used can be found in Table A1.

2.1. Process Development Strategy

As described before, the goal of this work was to convert the classical batch process for the production of LDH clay into a continuous one. To visualize this (iterative) workflow, Figure 2 was created. Firstly, the critical operation parameter of the existing (batch) routine needed to be identified and options to transfer them to a continuous setup needed to be evaluated. When this optimization framework, where periphery and experimental setting were defined, was set up, the first prototypes for continuous operation could be introduced. Secondly, the continuous operation needed to be ensured by adjusting the operation parameters or equipment design. Lastly, by further optimizing these regulators, the process could be optimized with the results from the batch operation in mind.
The milestones (or hypotheses) that need to be met, in consecutive order, are as follows:
  • The relevant batch process conditions can be suitably mapped in the continuous process;
  • The continuous and robust operation can be ensured;
  • The batch and continuous process produces the (interim) product with similar properties.

2.2. Optimization Framework for Continuous Operation

To be able to compare the batch and continuous experiments, the experimental optimization framework was developed with the batch conditions in mind. In the present case, the following equation holds for the reaction (derived from [21]):
3 MgCl 2 · 6 H 2 O + FeCl 3 + 8 NaOH Mg 3 Fe ( OH ) 8 Cl · m H 2 O + 8 NaCl + H 2 O
The production of LDH via the batch route was performed as follows:
In total, 50 mL of MgCl2 · 6H2O (0.3 mol · L−1) and FeCl3 (0.1 mol · L−1) solution and 50 mL of NaOH (0.8 mol · L−1) solution were simultaneously added to a temperature-controlled (4 °C) reactor and stirred vigorously for 2 h (see Figure 3).
With this protocol, an LDH concentration of ca. 15 g · L−1 was to be expected. For analytical purposes, the suspension was further processed via washing with water, centrifuging, resuspending, and drying. Based on this protocol, the experimental setup for the continuous operation was designed. The respective flow diagram can be found in Figure 4. The reactant solutions and additional water were supplied via syringe pumps. The tubes ran from the pumps to the micromixer, where the initial reaction happened. From there, the same reaction vessel used for the batch experiment was filled with the suspension until a total of 100 mL was reached to copy the batch conditions. The temperature of the double jacketed reaction vessel was controlled with a thermostat. Regarding the cooling of the reactant solution, pre-chilling was substituted with a heat exchanger in the form of FEP tube coils in a second thermostat. The length of the tube in the thermostat was calculated with worst-case estimation according to [39] to be able to reach all target temperatures that were part of the process design. To decrease unwanted influences from the ambient temperature, the tubes exiting the thermostat were insulated on their way to the micromixer. The overall optimization framework enabled for the modification and, therefore, screening of the following parameters:
  • Volumetric flow rate of the reactant V ˙ R ;
  • Volumetric flow rate of water V ˙ W ;
  • Reactant concentration (concentrations from the batch protocol are referred to as c r );
  • Temperature in the micromixer T mix via T therm ;
  • Temperature in the reaction vessel T r ;
  • Ripening time t ripe after initial dosing in the reaction vessel;
  • Design of the micromixer
The investigated output parameters that were considered throughout the optimization process are as follows:
  • XRD patterns;
  • Average crystal size D according to Section 2.4;
  • General operability.
These were used to quantitatively and qualitatively evaluate the equipment that was under investigation.

2.3. Process and Equipment Design

To be able to continuously produce LDH in a microstructured device, it has to be ensured that the generated solids do not interfere with the operability of the device.
The micromixer concept used in this contribution works with a vortex principle. The reactant solution together with a water sheath flow are introduced into the mixing chamber in a tangential manner, as can be observed in Figure 5a. The individual channels of the species have a cross-section area of 1 mm·1 mm, setting the cross-section area of the channel after the meeting point at 2 mm2. The water sheath flow acts as a protective barrier with the goal of preventing the solids from coming into contact with the inner wall of the mixing chamber. The reactant solutions come into contact inside the funnel-shaped mixing chamber, generating a solid product that leaves the device into the reaction vessel. The mixer prototype demonstrated in Figure 5b has connections to be able to measure the temperature T mix and pressure difference Δ p mix inside the mixing chamber. The internal threads of the connections comply with UNF 1/4” 28G to be able to connect with the standard laboratory fluidic periphery.
Since we were aiming for fast process development in this case, the devices were produced in-house via additive manufacturing using a stereolithography printer (Form 3+, Formlabs, MA, USA) with transparent resin (Clear Resin V4, Formlabs, MA, USA). The designs of the devices were flexibly adjusted using Fusion360 (Autodesk, Inc., San Francisco, CA, USA). In this way, experimental iteration, i.e., fabrication and the first experiments, between prototypes was possible within a single working day.

2.4. Measurement of Critical Product and Process Attributes

A method for investigating the properties of (crystalline) solids is powder X-ray diffraction (PXRD). A characteristic part of the X-ray radiation that the sample is subject to is reflected by the crystal structures and recorded with the deflection angle. The resulting diffractograms are used to draw conclusions about the crystal properties of the material under investigation, such as the crystal size, layer spacing, crystal and surface structure, phases, and much more [77,78,79,80]. In addition, the composition or type of the analyzed substance is determined by comparing the peak positions with literature data. The analysis of the PXRD diffractograms was performed according to Appendix A.3.
To gain insight into the investigated processes and mixing equipment, the temperature T mix and the pressure in the mixing chamber Δ p mix were continuously recorded. Moreover, a visual inspection of the mixers during and after the synthesis processes were able to provide information about the mixing behavior and potential fouling or wall adhesion effects that might later hinder continuous operation in long-term studies.

3. Discussion of the Equipment Design Process

In the following, the equipment design process of the vortex mixer will be described and results will be discussed. For the sake of clarity, the iterations of the equipment are condensed in Table 1.
Starting with the batch conditions described in the production protocol and summarized in Table 2, the conditions for the continuous setup were derived and applied to P1.0 (comp. Table 1). The concept of the vortex mixer equipment with four inlets was to utilize the streams to the outside of the mixing chamber as the protective sheath flow. This was intended to reduce the adhesion of the generated particles to the walls of the mixing chamber. In order to obtain the same final product concentration as those of the batch experiments, the concentration of the reactant substances in V ˙ R was doubled since V ˙ W is water (Table 2: Continuous Set A). The continuous operation with these settings was not satisfactory from the operative point of view since clogging of the mixer was observed frequently. As a consequence, the flow rates were adjusted (Table 2: Continuous Set B) to obtain a bigger sheath flow (an increase from 1 mm to 1. 3 ¯ mm inside the channel). Additionally, the total flow rate was increased from 20 mL · min−1 to 25 mL·min−1. Again, the concentrations were adjusted to stay consistent with the final concentrations from the batch experiments. Increasing the flow rate and sheath flow thickness had a positive effect on the operability of the equipment. At this point, the primary experiments with P1.0 of the mixer were successful. The device was still prone to clogging in the presented application, especially after numerous operations. To monitor this behavior, a connection for a pressure sensor was included for P1.1.
Not only was particle adhesion observed in the mixing chamber but also at the blunt tip where the outlet of the mixer is located. Therefore, the next iteration (P1.2) has a pointed tip, which was intended to reduce the area of the attack for this effect.
With the results gained by operating mixer P1.2 (Figure 6: C1 and C2), a comparison with the PXRD results from the batch experiments (Figure 6: B1 and B2) was conducted for the first time. Here, the calculated value D is of particular interest and was used for comparison purposes. The literature indicates that larger D values may influence the incorporation of RNA into the LDH, since the plane distance may be rising [20,81]. The diffractogram in Figure 6: B1 shows the results from the batch experiment with the standard experimental conditions demonstrated in Section 2.2. The literature indicates that an increased temperature during ripening has a positive effect on the crystal size; therefore, for sample B2, the temperature during the 2 h of ripening was increased to 65 °C [23]. For the experiment with the static mixer and the previously derived process conditions with the ripening also at 65 °C, the results in Figure 6 C1 were gained. The diffractograms until here demonstrate that the continuous operation was able to reproduce the results that were obtained from the batch experiments. The values for D, calculated via the Scherrer equation, support this.
For the next step, the temperature during mixing in the static mixer was also increased to 65 °C in order to achieve bigger crystals. The results of the PXRD measurement can be found in Figure 6 C2. Although D = 8.7 nm seems more promising than the previous results, the increase in T mix to 65 °C caused a higher solid buildup and clogging during the mixing process. This can be seen in Figure 7. Longer operation times or several production campaigns with the same equipment are, therefore, not advisable at elevated temperatures.
As one can tell from Figure 7, also at default temperatures, the pressure difference increased periodically, which is a sign of solid buildup ( Δ p mix increase) and detachment ( Δ p mix decrease) in the fluid channels. It was hypothesized that the Y-mixer that contacted the reactant solution with the water sheath flow caused internal mixing of these two streams so that the protective water sheath was no longer functional. Therefore, for P2.0, the Y-mixer was adjusted in a way in which the two fluid streams merged in a more tangential manner to suppress any hydrodynamic mixing between the two streams, so that only diffusion was left as a counteracting effect. Long-term investigations (up to 10 individual experimental runs) supported this, as the operation of mixer P2.0 was more reliant than the operation of mixer P1.2.
For the next iteration step (mixer P2.1), a larger mixing chamber was provided. However, in this constellation, the inflow to the mixing chamber was not big enough to fill it up and, therefore, the vortex effect did not come into play. This can be clearly seen in Figure 8. Therefore, it is advisable to stick to P2.0 instead for P2.1 for further iterations. The iterative optimization process does not necessarily need to end here. With the mixer design P2.0, a robust platform for more systematic investigations was generated.
Rapid prototyping and an iterative workflow realized by additive manufacturing enabled a flexible optimization process for equipment design. In the course of this work, a starting point for the robust operation of LDH is presented.

4. Conclusions

Conventional methods for the production of layered double hydroxides (LDHs) require that the reactants are either spontaneously mixed by adding the solutions in a batch container or one of them is slowly added. In either case, the conditions for the formation of the primary particles change over the reaction time. This leaves room for improvement in terms of keeping the conditions constant during the reaction at every point in time. As presented in this work, simultaneously adding the reactant solutions via a static mixer seems promising.
As of now, the results gained with the continuous setup match those that from batch experiments, which serves as a good basis for process optimization. This is supported by the fact that initial process operation obstacles such as premature clogging or process instabilities seem to be overcome with mixer P2.0.
Utilizing the workflow that is described in this contribution, the design, generation, and the first experiments can be conducted within a single working day, which is considerably faster than classical production pathways that can take weeks. This presents a great opportunity for the rapid design, characterization, and application of successful microfluidic devices, assisting in the development of different continuous production processes. The LDH produced in the presented work was not investigated in combination with a specific use case; however, the design and optimization framework may be interesting as a general approach for LDH production and a variety of related applications.

Author Contributions

Conceptualization, S.H. and N.K.; methodology, S.H. and N.K.; investigation, P.R.; data curation, S.H. and P.R.; writing—original draft preparation, S.H.; writing—review and editing, S.H. and N.K.; visualization, S.H. and P.R.; supervision, S.H. and N.K.; project administration, N.K.; funding acquisition, N.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was partly funded Nufarm Limited (Melbourne, Australia).

Data Availability Statement

The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.

Acknowledgments

We would like to thank Oleg Werbitzky and the partners from Nufarm for the helpful and fruitful discussions.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
FEPFluorinated Ethylene Propylene
FWHMFull Width at Half Maximum
HTHydrothermal
LDHLayered Double Hydroxides
NPNano Particles
PDMSPolydimethylsiloxan

Appendix A

Appendix A.1. Hardware Used

Table A1. Utilized substances and equipment.
Table A1. Utilized substances and equipment.
SubstanceSupplierPurityLot
NaOHSigma Aldrich®, MO, USA≥97%MB2029962 201
FeCl3Sigma Aldrich®, MO, USA≥98%S8262845 225
MgCl2 · 6H2OVWR Chemicals, PA, USA≥98%22A054107
EquipmentSupplierNameLabel
Pressure sensorAFRISO-EURO-INDEX GmbHDMU 01 ST − 1/+3 bar Δ p mix
Lab AutomationHiTec Zang GmbHLabManager®-
pH-electrodeWTWSenTix® 940-
Stirrer MotorNanotec Electronic GmbH & Co. KGNema 17 n stirr
Motor driverPololu, Las Vegas, USATic T825-
SyringeHenke-Sass, Wolf GmbHHENKE-JECT® Luer Lock 50 mL-
Syringe pumpLAMBDA Instruments GmbHLambda Vit-Fit V ˙ W , V ˙ R
Temperature sensorRössel-Messtechnik GmbHPt-B-100-2 T mix , T reak
ThermostatHuber Kältemaschinenbau AGMinistat 125-
Vacuum ovenMemmert GmbH & Co. KGMemmert VO400-
Vacuum pumpVACUUBRAND GmbH & Co. KGPC3001 VARIOpro-
CentrifugeWiteg Labortechnik GmbHWiseSpin CF-10-
3D printerFormlabsForm3+-

Appendix A.2. Modification to Syringe Pumps

Figure A1. CAD sketch and photograph of the add-on to extend the capacity of the syringe pumps to two syringes.
Figure A1. CAD sketch and photograph of the add-on to extend the capacity of the syringe pumps to two syringes.
Crystals 14 00398 g0a1

Appendix A.3. PXRD Measurements and Scherrer Equation

In the presented case, the Miniflex 600 (Rigaku Corporation, Tokio, Japan) was used, which is equipped with a Cu-anode and works with a weighted average wavelength of λ = 0.154178 nm [80]. For the analysis, 100–250 mg of dried and pestled product was necessary. The applied drying protocol was the following:
1.
Centrifuging of samples (12,000 rpm, 3 min) and discarding the liquid;
2.
Washing (resuspending) solids with water with subsequent centrifugation (12,000 rpm, 3 min) and discarding of the liquid;
3.
Repetition of washing until a total of three washing steps was reached;
4.
Drying of solids in a vacuum oven (at least 20 h, 200 mbar, 30 °C).
From the X-ray powder diffractogram, the average crystal size D, vertical to the reflecting lattice, can be calculated according to the Scherrer equation:
D = K · λ β · cos Θ ,
with the Scherrer constant K = 0.89 according to [77,79,80,82], the emitted wavelength λ , the Full Width at Half Maximum (FWHM) value β of the analyzed peak in the diffractrogram, and the Bragg angle 2 Θ of the peak of interest. In addition to D, the diffractograms themselves, which can provide information about the crystallinity and composition, were also compared to each other.

Appendix A.4. Reactor Setup

Figure A2. Setup for the visual investigation of the different mixers.
Figure A2. Setup for the visual investigation of the different mixers.
Crystals 14 00398 g0a2

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Figure 1. Schematic of the general structure of LDH layers where the mass fraction x = M 3 + · ( M 3 + + M 2 + ) 1 = 0.25 and m is the number of water molecules.
Figure 1. Schematic of the general structure of LDH layers where the mass fraction x = M 3 + · ( M 3 + + M 2 + ) 1 = 0.25 and m is the number of water molecules.
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Figure 2. Optimization process for the developed micromixer equipment from the idea and requirements to the finished product, which delivers an optimal, robust, and satisfactory functional prototype or product.
Figure 2. Optimization process for the developed micromixer equipment from the idea and requirements to the finished product, which delivers an optimal, robust, and satisfactory functional prototype or product.
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Figure 3. Image of the micromixer connected to the ripening vessel in (a) and CAD sketch in (b).
Figure 3. Image of the micromixer connected to the ripening vessel in (a) and CAD sketch in (b).
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Figure 4. Flow diagram of the optimization framework used for the continuous operation. The mixing equipment on the far right can be flexibly interchanged. An image of the pumps can be found in Figure A1.
Figure 4. Flow diagram of the optimization framework used for the continuous operation. The mixing equipment on the far right can be flexibly interchanged. An image of the pumps can be found in Figure A1.
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Figure 5. (a) Schematic cross-section view of a possible mixer design from the top. (b) Cross-section view of the mixing chamber of a possible mixer design from the side.
Figure 5. (a) Schematic cross-section view of a possible mixer design from the top. (b) Cross-section view of the mixing chamber of a possible mixer design from the side.
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Figure 6. Diffractograms of batch samples B1 and B2 and continuous samples C1 and C2. Planes (003), (006), and (012) are indicated. The characteristic peak at ≈11 nm was used for the evaluation via the Scherrer equation. The calculated values for D i are given. The baseline and Gaussian peak were determined with the help of the Peak Analyzer tool in OriginPro.
Figure 6. Diffractograms of batch samples B1 and B2 and continuous samples C1 and C2. Planes (003), (006), and (012) are indicated. The characteristic peak at ≈11 nm was used for the evaluation via the Scherrer equation. The calculated values for D i are given. The baseline and Gaussian peak were determined with the help of the Peak Analyzer tool in OriginPro.
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Figure 7. Differential pressure curves from inside the mixing chamber of mixer P1.2 operated at two different temperatures. The temperature is averaged across the experiment.
Figure 7. Differential pressure curves from inside the mixing chamber of mixer P1.2 operated at two different temperatures. The temperature is averaged across the experiment.
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Figure 8. Images of the mixers P2.0 and P2.1 during operation at the above-mentioned flow conditions.
Figure 8. Images of the mixers P2.0 and P2.1 during operation at the above-mentioned flow conditions.
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Table 1. History of the mixer designs that were iteratively generated. Changes compared to the preceding prototype are marked in red in the images. For the experimental setup, consider Figure A2.
Table 1. History of the mixer designs that were iteratively generated. Changes compared to the preceding prototype are marked in red in the images. For the experimental setup, consider Figure A2.
PrototypeCAD SketchChannel GeometryChangelog *Remarks
P1.0Crystals 14 00398 i001Crystals 14 00398 i002Temperature sensor from above
P1.1Crystals 14 00398 i003Crystals 14 00398 i004Pressure sensor connector addedPressure sensor from the side
P1.2Crystals 14 00398 i005Crystals 14 00398 i006Pointed outlet, sharp outlet rim to avoid solid adhesion
P2.0Crystals 14 00398 i007Crystals 14 00398 i008Tangential merging of fluid streams to maintain flow profileMost successful in operation
P2.1Crystals 14 00398 i009Crystals 14 00398 i010Larger mixing chamber ( d i , m = 10 mm to d i , m = 14 mm)Mixing chamber not filling up
* Compared to the previous prototype.
Table 2. Compositions of the used reactant solutions. For the continuous operation mode, 4 inlet streams were used ( V ˙ R , V ˙ W ). For the batch reference, two reactant solutions were mixed ( V R ).
Table 2. Compositions of the used reactant solutions. For the continuous operation mode, 4 inlet streams were used ( V ˙ R , V ˙ W ). For the batch reference, two reactant solutions were mixed ( V R ).
Conditions c NaOH c MgCl 2 c FeCl 3 V ˙ R / V R V ˙ W V ˙ ges
Batch Reference0.8 mol·L−10.3 mol·L−10.1 mol·L−150 mL100 mL
Continuous Set A (5 min)1.6 mol·L−10.6 mol·L−10.2 mol·L−15 mL·min−15 mL·min−1100 mL
Continuous Set B (4 min)2 mol·L−10.75 mol·L−10.25 mol·L−15 mL·min−17.5 mL·min−1100 mL
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Höving, S.; Ronnewinkel, P.; Kockmann, N. From Batch to Continuous Small-Scale Production of Particles: Mixer Design Methodology for Robust Operation. Crystals 2024, 14, 398. https://doi.org/10.3390/cryst14050398

AMA Style

Höving S, Ronnewinkel P, Kockmann N. From Batch to Continuous Small-Scale Production of Particles: Mixer Design Methodology for Robust Operation. Crystals. 2024; 14(5):398. https://doi.org/10.3390/cryst14050398

Chicago/Turabian Style

Höving, Stefan, Philipp Ronnewinkel, and Norbert Kockmann. 2024. "From Batch to Continuous Small-Scale Production of Particles: Mixer Design Methodology for Robust Operation" Crystals 14, no. 5: 398. https://doi.org/10.3390/cryst14050398

APA Style

Höving, S., Ronnewinkel, P., & Kockmann, N. (2024). From Batch to Continuous Small-Scale Production of Particles: Mixer Design Methodology for Robust Operation. Crystals, 14(5), 398. https://doi.org/10.3390/cryst14050398

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