COMSOL Multiphysics Software Research Articles

The rapid change of shear rate gradient is beneficial to platelet activation

Fluid shear plays a key role in hemostasis and thrombosis, and the purpose of this study was to investigate the effect of shear gradient change rate (SGCR) on platelet reactivity and von Willebrand factor (vWF) activity and its mechanism. In this study, we developed a set of microfluidic chips capable of generating different shear gradients and simulated the shear rate distribution in the flow field by COMSOL Multiphysics software. Molecular markers of platelet activation (P-selectin, activated GPIIb/IIIa, phosphatidylserine exposure, and monocyte-platelet aggregate formation) were analyzed by flow cytometry. Platelet aggregation induced by shear gradient was studied by a microfluidic experimental platform, and plasma vWF ristocetin cofactor (vWF: RCO) activity was investigated by flow cytometry. The expression of p-Akt was studied by Western blotting. The results showed that the faster the SGCR, the higher the expression of platelet p-Akt, and the stronger the platelet reactivity and vWF activity. This indicates that fluid shear stress can activate platelets and vWF in a shear gradient-dependent manner through the PI3K/AKT signal pathway, and the faster the SGCR, the more significant the activation effect.

Numerical Simulation of Metasurface Grating to Function as Polarization Modulator in Quantum Key Distribution Systems

Polarization modulation plays an important role in polarization encoding in quantum key distribution. By using polarization modulation, quantum key distribution systems become more compact and more vulnerable as one laser source is used instead of using multiple laser sources that may cause side-channel attacks. Metasurfaces with their exceptional optical properties have led to the development of versatile ultrathin optical devices. They are made up of planar arrays of resonant or nearly resonant subwavelength pieces and provide complete control over reflected and transmitted electromagnetic waves opening several possibilities for the development of innovative optical components. In this work, the Si nanowire metasurface grating polarizer is designed by COMSOL Multiphysics Software to operate in the visible region and transmit the transverse magnetic polarization of light. The same structure can be rotated by different angles, i.e., 90o, 45o, and -45o to mimic the function of polarization modulation in quantum key distribution systems. The designed structure has an extinction ratio of ~ 60000 and a wide angular tolerance range of (-20o - 20o).

Parametric Mathematical Model of the Electrochemical Degradation of 2-Chlorophenol in a Flow-by Reactor under Batch Recirculation Mode

2-Chlorophenol (2-CP) is a dangerous organic contaminant found in wastewater. In this work, 2.5 L of a 2-CP solution (1 mol/m3) was electrochemically treated in a flow-by reactor equipped with two boron-doped diamond electrodes (BDD) under batch recirculation mode for a period for 4 h, a current density of 0.14 A/cm2, a volumetric flow rate of 1 L/min, and pH = 7.3. In this work, a parametric mathematical model of the degradation efficiency of 2-CP was developed using an axial dispersion model and a continuous stirred tank for the flow-by reactor (FBR), which was constructed using a shell mass balance considering the dispersion and convection terms and the reservoir tank (CST), which was constructed using a mass balance of 2-CP. The parametric mathematic model of the electrochemical degradation of 2-chlorophenol was numerically resolved by employing the software package COMSOL Multiphysics® V. 5.3, where a mass transfer equation for diluted species and a global differential equation represents the FBR and CST, respectively. The results indicate that the parametric mathematical model proposed in this research fits the experimental results, and this is supported by the index performance values such as the determination coefficient (R2 = 0.9831), the mean square error (MSE = 0.0307), and the reduced root-mean-square error (RMSE = 0.1754). Moreover, the degradation efficiency of 2-CP estimated by the proposed model achieves 99.06%, whereas the experimental degradation efficiency reached 99.99%, a comparative error of 0.93%. This corroborates the predictive ability of the developed mathematical model and the effectiveness of the employed electrooxidation process. Finally, a 0.143 USD/L total operating cost for the electrochemical plant was estimated.

Experimental and CFD simulation studies of biodiesel production in an in-house Tesla-shaped microreactor

Continuous flow microreactors have been shown to be effective for biodiesel production, and the Tesla-shaped microreactor, in particular, is one of the proposed microreactors for this application. However, its applicability in the industry is still limited. Therefore, comprehensive simulation studies that agree with the real processes need to be performed to allow a deep understanding of the process. A 2D CFD simulation model is constructed in COMSOL Multiphysics software to study the performance of a Tesla-shaped microreactor fabricated in-house- for biodiesel production from waste cooking oil (WCO). The model is thoroughly analyzed and validated experimentally at different operating conditions. The percentage yield values resulting from the simulation were found to be 84.13% at a temperature of 50 °C, 90.79% at a temperature of 55 °C, and 94.85% at a temperature of 60 °C, which deviated from the experimental values by 2.73%, 1.15%, and 1.98%, respectively. On the other hand, an alcohol-to-oil molar ratio of 12:1 resulted in a simulation percentage yield of 94.85% which deviates from the experimental values by 1.98%, while at a molar ratio of 9:1, the simulation yielded 93.67% with a deviation of 3.33% from the experimental results. At a lower ratio of 6:1, the simulation percentage yield was found to be 69.89%, and it deviated by 18.82% from the experimental results. This study presents a novel combination of simulation and experimental validation for the Tesla-shaped microreactor in biodiesel production from waste cooking oil., which is a topic with limited existing research although it significantly contributes to understanding the process at different operating conditions. The high agreement between simulation and experimental results demonstrates the accuracy and suitability of the simulation for studying the% conversion, and potential investigation such as the molar flow rate variations, and reaction rates under different conditions. This approach offers a cost-effective and efficient solution for optimizing biodiesel production, reducing the need for extensive experimental trials, and saving significant time and effort.

Research and simulation of electrochemical processes in vanadium batteries

Formulation of the problem: In the modern world, the development of efficient energy sources is becoming an increasingly important issue. One of the promising areas in the field of electrochemical energy sources is vanadium batteries. These batteries are based on electrochemical processes involving vanadium in various oxidative states. Research and modeling of electrochemical processes in vanadium batteries are important to optimize their performance and improve energy efficiency. Research and modeling of electrochemical processes in vanadium batteries play a key role in the development of efficient energy sources. Understanding the basic principles of operation of vanadium batteries, as well as the development of accurate mathematical models and their numerical simulation, allows optimizing the processes associated with storing and releasing energy. Further research and development in this area could lead to the creation of more efficient and sustainable energy sources that can meet the sustainable energy needs of modern society. Objective of the project: modeling the processes of vanadium redox flow batteries (VRFB) by varying the electrolyte flow to optimize electrochemical processes occurring under membrane-electrode boundary conditions. Results: this study simulates in the COMSOL Multiphysics software package the electrochemical characteristics of HFSC as a function of electrolyte flow. Tests were carried out in which the flow velocity parameters were examined to evaluate their effect on the potential distribution and current density. Practical significance: the energy in an HFSC is stored in a liquid electrolyte that is pumped through the cell. The electrolyte is stored in external reservoirs rather than in porous electrodes as in conventional batteries. The results contribute to improved efficient energy storage, load balancing, and peak power smoothing of the GRPB. The construction of models allows us to predict the effect on the efficiency of mixing electrolytes, taking into account the hydrodynamic conditions inside the battery to determine how they affect the transport of vanadium ions, taking into account the electrolyte flow rate.

New trends in modelling of breakthrough curves to remove pollutants using adsorption on advanced monoliths geometries

This work proposes a rigorous mathematical model capable of reproducing the adsorption process in dynamic regime on advanced monoliths geometries. For this, four bed geometries with axisymmetric distribution of channels and similar solid mass were proposed. In each geometry a different distribution of channels was suggested, maintaining constant the bed dimensions of 15 cm high and 5 cm radius. The mathematical modeling includes mass and momentum transfer phenomena, and it was solved with the COMSOL Multiphysics software using mass transfer parameters published in the literature. The overall performance of the column was evaluated in terms of breakthrough (CA/CA0 = 0.1) and saturation times (CA/CA0 = 0.9). The mass and velocity distributions obtained from the proposed model show good physical consistency with what is expected in real systems. In addition, the model proved to be easy to solve given the short convergence times required (2–4 h). Modifications were made to the bed geometry to achieve a better use of the adsorbent material which reached up to 80%. The proposed bed geometries allow obtaining different mixing distributions, in such a way that inside the bed a thinning of the boundary layer is caused, thus reducing diffusive effects at the adsorbent solid-fluid interface, given dissipation rates of about 323 × 10−11 m2/s3. The bed geometry composed of intersecting rings deployed the best performance in terms of usage of the material adsorbent, and acceptable hydrodynamical behavior inside the channels (maximum fluid velocity = 35.4 × 10−5 m/s and drop pressure = 0.19 Pa). Based on these results, it was found that it is possible to reduce diffusional effects and delimit the mass transfer zone inside the monoliths, thus increasing the efficiency of adsorbent fixed beds.

Numerical investigation on heat and mass transfer characteristics of inclined plate falling film absorption with nano-lithium bromide solution

Nanofluids play an essential role in enhancing heat and mass transfer in falling film absorption processes. To reveal the underlying mechanisms of enhanced absorption by nanoparticles at the gas–liquid interface, an innovative model considering the Marangoni effect is proposed for falling film absorption on an inclined plate. The effects of copper oxide nanoparticles on heat and mass transfer for the inclined plate falling film absorption, utilizing lithium bromide solution as the working fluid, are numerically studied using the software COMSOL Multiphysics. The accuracy of the numerical model is verified by experimental and simulation results, showing superior agreement when the Marangoni effect is incorporated. The vapor absorption performance of lithium bromide solution is significantly enhanced by the addition of nanoparticles. Surface tension amplifies temperature and concentration gradients, playing a pivotal role in augmenting heat and mass transfer through the Marangoni effect. The largest temperature and concentration gradients occur at the gas–liquid interface. The interfacial heat transfer coefficient and mass transfer coefficient decrease along the length of the inclined plate and gradually stabilize at 15.01 W·m−2·K−1 and 1.12 × 10−4 m·s−1, respectively.

Analytical estimates for deformation behavior of fluid-filled elastomers with random microstructures

Macroscopic response of fluid filled elastomers with random microstructures, is obtained for aligned, cylindrical pores with circular cross-section. Results are derived for mono-disperse as well as poly-disperse pores, for Newtonian fluids. The obtained estimates are validated for plain strain compression loadings using numerical simulations performed in commercial multiphysics software COMSOL. Good agreement is observed between the analytical estimates and numerical solutions for different initial porosities and loading rates. Standard deviation in numerical results is seen to be high for polydisperse pores. Nonetheless, the mean response in numerical solutions matches well with analytical estimates. The obtained results can form the basis for design and fabrication of a new class of materials which have the potential to replace conventional spring–damper systems, particularly where space is limited.

Photo-Catalytic Activity Improvement for Organic Pollutant Removal in Wastewater using Zinc Oxide Quantum Dots: An Experimental and Modeling Study

Photo-catalyst nanoparticles (NPs) find applications in many diverse fields, including environmental remediation, energy conversion, and organic synthesis. By optimizing the nanoparticle's composition, size, morphology, and surface properties, the photo-catalytic performance can be enhanced to develop more efficient and sustainable catalytic systems. This work aligns with this innovative approach and aims to improve the photo-catalytic degradation of Sulfamethoxazole (SMX) through the intensification of the photo-catalyst and the micro-reactor. ZnO-NPs were synthesized using the sol-gel method. Zinc Acetate (Z.A) and sodium hydroxide were used as precursor materials. The resulting ZnO-NPs were characterized for their structure and crystallinity using X-Ray Diffraction (XRD) and the photo-catalytic activity was assessed with a micro-structured polymer reactor. The degradation of SMX through photo-catalysis proceeds through several stages that involve coupled processes, such as the transportation of molecules and chemical reactions. To solve the mathematical equations governing the transport and photocatalytic reaction, COMSOL Multiphysics software was utilized. The characterization results demonstrate the excellent crystallinity and high purity of the synthesized ZnO-NPs, enabling the estimation of the average diameter of the NPs under different synthesis conditions. The grain growth is faster (3.5 hr) at higher temperatures (70, 80, and 90 °C), and slower (4 hr) at lower temperatures (50 and 60°C). The photo-catalytic degradation is significantly more efficient on 16 nm ZnO-NPs than 50 nm ZnO-NPs. At this size, the conversion rate reaches 96%, surpassing the performance of commercial ZnO-NPs, which only degrades 81% of SMX. The conversion rate obtained through simulation is slightly higher than that achieved in the experiments. However, this difference remains negligible, and overall, the model fits well with the experimental data. This validation of the chosen model confirms its reliability and accuracy.

The Influence of Substrate on the Optical Properties of Gold Nanoslits.

Nanoslits have various applications, including localized surface plasmon resonance (LSPR)-based nanodevices, optical biosensors, superfocusing, high-efficiency refractive index sensors and chip-based protein detection. In this study, the effect of substrates on the optical properties of gold nanoslits placed in free space is discussed; for this purpose, glass BK7 and Al2O3 are used as substrates and the wavelength of incident light is supposed to be 650 nm. The optical properties, power flow and electric field enhancement for gold nanoslits are investigated by using the finite element method (FEM) in COMSOL Multiphysics software. The effect of polarization of an incident electromagnetic wave as it propagates from a gold nanoslit is also analyzed. As special case, the effect of glass and alumina substrate on magnetic field, power flow and electric field enhancement is discussed. The goal of this research is to investigate the phenomenon of power flow and electric field enhancement. The study of power flow in gold nanoslits provides valuable insights into the behavior of light at the nanoscale and offers opportunities for developing novel applications in the field of nanophotonics and plasmonics. The consequences of this study show the significance of gold nanoslits as optical nanosensors.

Parallel dual tuning forks for quartz-enhanced photoacoustic spectroscopy

A recently introduced approach to photoacoustic detection of trace gases utilizing dual quartz tuning forks (D-QTFs) in parallel is described in detail. It investigates the sound vibration mode that is optimal for a small acoustic module. The acoustic module was optimized using COMSOL multiphysics software. The D-QTFs sensor and a half-size resonator module platform were adopted to enhance signal strength. The advantages of the technique compared to the normal QEPAS sensor are that it uses a single resonator tube but realises a 1.25-times signal enhancement. Water vapour was chosen as the target analyte. The achieved noise of 1σ is 1.268 µV compared to the QEPAS noise of 1.196 µV. The presence of parallel forks leads to a decrease in reaction time of ∼17 %. The results of this investigation revealed that a reduced chamber volume and rapid response led to a more pronounced signal response. The sensor's performance can be further enhanced by increasing the laser power and the optical path length. It is widely used in fields with volume constraints.

NUMERICAL ANALYSIS OF COMPOUND PARABOLIC SOLAR COLLECTOR WITH TWO GLASS COVERS

In a compound parabolic solar collector, a glass cover is normally used for decreasing the rate of heat loss from the absorber. In this paper, a solar collector with two glass covers and a concentration ratio of 1.6 is simulated and examined for the purpose of higher performance. The distance between covers is 45 mm and the cavity of solar collector is filled with air. Due to the temperature gradient, the turbulent free convection airflow takes place inside the cavity. As the main aim, the effect of the second glass sheet on performance improvement is examined. Towards this end, the equations govern to the turbulent buoyant airflow in the collector’s cavity was numerically solved by the finite element method using the COMSOL Multiphysics software. Also the conduction equation is employed for temperature computation in the solid elements. Numerical findings demonstrate the effective role of the second glass sheet in decreasing the rate of heat loss from solar collectors and a more than 6% increase in the thermal efficiency of the studied test cases is found because of the second glass sheet. Comparison between the numerical findings of free convection airflow with experimental data shows good consistency.

A Novel Hybrid Battery Thermal Management System for Prevention of Thermal Runaway Propagation

Lithium-ion batteries are extensively used in electric vehicles because of their high energy density and long service life. Designing a battery thermal management system (BTMS) that prevents thermal runaway propagation in the event of abusive accidents is crucial. The goal of this study is to design a novel hybrid BTMS with both active liquid cooling and passive cooling for preventing thermal runaway propagation in the battery module. A numerical model for a battery module (16 cylindrical 18650 cells) was developed in COMSOL multi-physics software to examine the thermal runaway propagation caused by a single cell. Copper foam and expanded graphite-paraffin (EG-PCM) composite material were used for passive cooling. In addition to the thermal runaway scenario, the thermal behaviors of the battery module with the hybrid BTMS were also evaluated under the 3C discharging and driving cycle circumstances. A conventional BTMS with natural air cooling is chosen as the baseline. The findings reveal that the proposed hybrid BTMS, which uses EG-PCM with a melting temperature of 52 °C and thermal diffusivity of 9.68 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> /s and copper foam with a porosity of 0.7-0.9, is capable of limiting the maximum cell temperature below the thermal safety threshold (80 °C) to prevent thermal runaway propagation. Under the NEDC load cycle, the battery module can be maintained within an optimal working temperature range by passive cooling only. By applying active liquid cooling with a flow rate of 0.3 m/s for BTMS, the average temperature reduction of the battery module at a 3C discharging rate can be up to 72.5% and 52.7% compared to passive cooling with copper foam and EG-PCM, respectively. The study highlights that the combination of active liquid cooling and appropriate passive cooling is an efficient thermal management solution for Li-ion battery applications in electric vehicles, notably in the consideration of thermal safety.

Numerical analysis of charge carriers injection in a light emitter or detector device based on a metal-semiconductor-metal structure

Modern metal-semiconductor-metal nano- and micro-structures exhibit unique properties related to both light emission and detection. Here we develop a novel optimized numerical model to calculate charge carrier density inside a n-type semiconductor micro-crystal that is sandwiched between two Schottky contacts. We use drift-diffusion equations and finite difference methods and utilize the Scharfetter-Gummel discretization technique. We demonstrate that the concentration of majority charge carriers in the semiconductor can be reduced below the level observed at zero applied bias by surpassing the current density of minority charge carriers beyond that of the majority charge carriers. Subsequently, minority charge carrier concentration increases and becomes the dominant charge carrier inside the semiconductor at high applied bias. In addition, we provide evidence that the open circuit voltage of a semiconductor under illumination occurs at the point where the minority-majority current densities intersect. By adjusting the Schottky contact barrier, the crossing potential between minority and majority carriers can be controlled, thereby allowing for manipulation of the open circuit voltage. This is an important factor in determining the density of trap states in the semiconductor and designing an open circuit voltage photodetector. We verify our results using COMSOL Multiphysics software and show that our numerical approach is found to be more time-efficient than the methods employed by COMSOL Multiphysics.

Evolution of structures and internal stress of ZrC-SiC composite under He ion irradiation and post-annealing

Composite ceramics show great potential for utilization in nuclear systems. However, the component phases therein may exhibit large variations in structural response to the ion irradiation including degree of lattice expansion, ability to maintain the crystallinity, types and density of as-formed defects, etc. Such discrepancy may result in the evolution of internal stress and consequently more complicated interactions with respect to the irradiation behavior, which remains less understood. In this study, a ZrC–30 vol% SiC composite is chosen to study the irradiation and helium retention behavior under 540 keV He ion irradiation with a fluence of 1 × 1017/cm2 and subsequent annealing at 1000 °C and 1500 °C. Irradiation-induced volume dilation of ZrC lattice and especially from an amorphization process of SiC leads to a maximum compressive stress of ∼66 GPa at a certain irradiation depth, at which horizontal cracks are generated but only in ZrC grains. During high-temperature annealing, migration of defects, diffusion and coalesce of helium species, growth of He bubbles, recovery of crystal lattices and formation of dislocations are found to be closely correlated to the irradiation-induced gradient of helium retention concentration, lattice damage and internal stress along the irradiation depth along with the recrystallization process of amorphous SiC. The as-observed irradiation behavior and structural evolution during annealing are discussed by theoretical consideration of internal stress in the composite using the COMSOL Multiphysics package.

Annular Electromagnetic Generator for Harvesting Ocean Wave Energy

To sustainably power ocean sensors by harvesting ocean wave energy, an annular electromagnetic generator (A-EMG) based on the principle of Faraday electromagnetic induction is proposed in this paper. The specific structure and working principle of the generator are introduced. The distribution of the magnetic field in the coil, the variation in the induced voltage and the influence of the coil parameters on the output were simulated by the COMSOL Multiphysics software version 6.0. At the same time, an experimental platform was built to test the output characteristics of the generator. Through a comparative study of the capacitor’s charging characteristics, the optimal connection mode between the multiple groups of coils of the generator was preliminarily verified. Finally, the six-degree-of-freedom (6-DOF) platform was used to simulate various wave motion parameters, and the feasibility of the generator for supplying power to ocean sensors was verified.

Study on acoustic performance of new spiral sound absorbing and insulating metamaterial

Middle and low frequency band sound waves have strong penetration and diffraction abilities during the propagation process, making it difficult to attenuate. The control of middle and low frequency broadband sound waves has become a challenging topic. Therefore, it is necessary to develop new materials or structures with middle and low frequency sound absorption, insulation, and noise reduction functions. The special properties of acoustic metamaterial provide new ideas for the development of sound absorption and insulation. In order to effectively control the noise in the lower frequency band, a new spatial spiral acoustic metamaterial was designed. First, the mechanism of band gap characteristics of a new spatial spiral acoustic metamaterial is analyzed. Then, a new spatial spiral acoustic metamaterial is completed through the finite element software COMSOL Multiphysics and the calculation and analysis of sound absorption and insulation performance in the 100–2500 Hz frequency band are completed. With the help of 3D printing, the preparation of metamaterial is completed, and the comparative experimental study of sound absorption and insulation performance of spiral acoustic metamaterial is carried out to verify the accuracy of the calculation method.

Design and performance analysis of alcohols sensing using photonic crystal fiber in terahertz spectrum

This research suggests an optical sensor to detect alcohol in beverages and liquids that is based on Zeonex backdrop material. The core of the sensor is made up of six hexahedron-shaped cores and heptagonal cladding with circular air holes. The development and implementation of a limited element evaluation to assess the sensing capabilities of sensor technology using PCF were executed using the COMSOL Multiphysics software. With negligible confinement losses, a highly sensitive H-PCF structure has been proposed for the THz range. With sensitivities of 89.50 %, 91.80 %, and 90.81 %, respectively, at the monitoring region of 1 THz, it can detect three distinct alcohols, including ethanol, butanol, and propanol. At a monitoring frequency of 1 THz, the confinement losses for the first alcohol are 5.45 × 10−08 dB/m, the second alcohol is 6.01 × 10−08 dB/m, and the third alcohol is 5.60 × 10−08 dB/m. Furthermore, the essential graphical representations of additional optical properties, including the effective mode index, effective area, and total power fraction, are extensively examined. Thus, it is evident that this sensor could be utilized to detect alcohol in a variety of environments, given that terahertz (THz) wave pulses are commonly employed in both chemical processes and the food and beverage industries.

Deep learning-based approach in surface thermography for inverse estimation of breast tumor size

Background and objectiveIn early breast cancer diagnosis, tumor size is key to improving the patient's survival chances. It helps doctors to determine the adequate treatment for each case. Surface thermography presents encouraging results to detect thermal patterns of breast tumor abnormality. However, the early and accurate estimation of tumor size based on temperature characteristics is quite challenging due to unavailability of labeled clinical data. This work proposes a Feed-Forward Deep Neural Network (FF-DNN) for an inverse estimation of breast tumor size using thermographic data. MethodsA 3D breast model was created by the COMSOL Multiphysics software incorporating tumors in the gland and covered by fat, muscle, and skin layers. Several tumor configurations are included to generate a large amount of training data. An initial thermal data analysis was performed to affirm the influence of breast tumor size on the skin surface temperature. Then, 1400 different cases were prepared, and the relevant features were extracted to train the deep learning model. The coefficient of determination (R2) and the Mean Square Error (MSE) were used as metrics for evaluating the predictive model. ResultsThe analysis of the normalized temperature variations demonstrated the influence of tumor size on the surface temperature of the breast. Thus, the comparison between the FF-DNN against the Convolutional Neural Network (CNN) showed the reliability of the proposed approach. As result, the prediction accuracy indicates the capacity of the proposed FF-DNN model to estimate tumor size from the provided relevant features with an MSE value of 0.194 and an R2 value of 0.998. ConclusionThe findings of this study indicate that surface thermography, when paired with deep learning, holds promise as a valuable diagnostic tool to improve the prognosis of breast cancer.

Characterization of crystallization kinetics in Polyamide 6 with a focus on modeling the thermoforming process: experiments, modeling, simulations

Thermoforming of continuous fiber-reinforced plastics made of semi-crystalline thermoplastics has gained significant interest due to its potential for producing lightweight and high-strength components for various applications. Before thermoforming, a laminate is heated to a temperature beyond the melting point of the thermoplastic. During the subsequent forming process, the laminate is continuously cooled, which triggers non-isothermal crystallization in the semi-crystalline matrix material. In this context, the study of crystallization kinetics is crucial in identifying phase transition, analyzing exothermic latent heat during crystallization and determining inhomogeneous crystallinity distribution caused by uneven cooling in the laminate’s thickness direction. This contribution primarily deals with experimental investigations, modeling and finite element simulations for characterizing the crystallization kinetics in the matrix material, Polyamide 6 and investigating the aforementioned factors. To model the crystallization kinetics, an extended form of the Avrami model, known as the modified Nakamura–Ziabicki model, is adopted. The parameters for the modified Nakamura–Ziabicki model, which depend on the local cooling rates, are identified based on fitting the model to flash DSC (differential scanning calorimetry with high cooling rates) and standard DSC non-isothermal cooling experiments. Finally, the model is implemented into the commercial FE software COMSOL Multiphysics® and the crystallinity evolution in the laminate is simulated for the process-relevant die and laminate temperatures and laminate thicknesses.