Mass Transfer Parameters Research Articles

Intelligent computing architecture for the analysis of Williamson Magneto hydrodynamic fluid model and heat transfer through a permeable stretching surface

The Williamson fluid model's flow field properties have drawn researchers' attention in recent years. The objective of this research is to analyze the Williamson Magneto Hydrodynamic Fluid Model's unsteady flow field properties by applying the algorithm of Bayesian regularization with an artificial neural network of backpropagation. A magnetic field interacts with the nanosized particles, and the stretched porous surface causes the fluid to flow. Under similarity transformation, the non-linear partial differential equations of the Williamson fluid model are turned into ordinary differential equations by varying the thermophoresis parameter, the mass transfer parameter, the unsteadiness parameter and the Lewis number. A set of data is generated in Matlab for various Williamson fluid model scenarios using the Adam numerical technique for the proposed Bayesian regularization algorithm. The solution and error analysis plots are evaluated using the reference dataset. Furthermore, the performance of the algorithm of Bayesian regularization is clarified by mean square error results, error analysis plots, regression, and error histograms. The solution of the Williamson fluid model is exploited by the validation, training, and testing procedures. The validity of the obtained results is confirmed by the mean square error up to the level of E-13.

Epoxidation of light olefin mixtures with hydrogen peroxide on TS-1 in a laboratory-scale trickle bed reactor: Transient experimental study and mathematical modelling

Direct epoxidation of light olefin mixtures with hydrogen peroxide and titanium silicalite (TS-1) catalyst is interesting from a pure scientific viewpoint and it might have a considerable economic and environmental advantages. Direct epoxidation of olefin mixtures implies a significant process intensification as the separation steps of alkenes prior to the epoxidation process is avoided. Binary and ternary mixtures of ethene, propene and 1-butene were selectively epoxidized with hydrogen peroxide in the presence of TS-1 as the heterogeneous catalyst. Methanol was used as the solvent. Transient and stationary kinetic experiments were conducted in a laboratory-scale trickle bed reactor, which was operated under atmospheric pressure and isothermal conditions at 15–55 °C. The experiments were designed to investigate the kinetics of the epoxidation of light olefins at different temperatures, alkene-to-hydrogen peroxide molar ratios as well as gas and liquid residence times in the trickle bed reactor. The recorded transient responses of the reaction products confirmed that the components in the alkene mixtures are epoxidized simultaneously. The epoxide selectivity was 90 % or higher in most experiments; ring-opening products formed from the epoxides and methanol were observed as by-products. The concentration maxima of epoxides during the transient experiments were explained by accumulation of the epoxide products inside the catalyst, which resulted in partial blocking of active sites. After-treatment of the catalyst with methanol and nitrogen completely restored the initial activity. Kinetic modeling was applied, based on presumed elementary steps on the TS-1 surface to describe the behavior of the system at steady state conditions. The trickle bed reactor was described with a dynamic multiphase model, taking into account the kinetic and mass transfer effects. The numerical values of the activation energies, kinetic constants and mass transfer parameters were estimated by nonlinear regression analysis. The model gave a satisfactory description of the experimental data.

Adsorptive removal of Uranium (VI) using zeolitic imidazole framework (ZIF)-67 from alkaline leach liquor

As the applications of nuclear technology diversify, development of adsorbents with superior selectivity and adsorption capacity for the removal of Uranium (U) from aqueous stream becomes imperative. In this article, zeolitic imidazolate framework-67 (ZIF-67) is used to examine the removal of U from simulated and actual alkaline leach liquor. The influence of pH and adsorbent dose were also analyzed. The synthesized ZIF-67 reveals a significant amount of U uptake capacity (396 mg g−1) and remarkable removal percentage for U in both synthetic and alkaline leach liquor (>98 % and 97.4 %, respectively). Based on various characterization techniques, a detailed U adsorption mechanism was established. The alkaline leach liquor was comprehensively characterized and different parameters (both before and after U adsorption) were determined. The ZIF-67 adsorbent showed satisfactory regeneration performance and structural integrity, with>80 % U removal after 5th regeneration cycle. For the purpose of forecasting the adsorption kinetics and related mass transfer parameters, a first principle based pore diffusion-adsorption model was used.

Evaluation of an Industrial Absorption Process for Carbon Capture Using K2CO3 Promoted by Boric Acid

Hot potassium carbonate (HPC) process aims to remove the CO2 present on synthesis gas. This removal is done in an absorption process, where takes place the reaction of CO2 with a K2CO3 solution. This reaction is slow and H3BO3 can be used to increase the rate of reaction. The rate-based model is the most suitable way to model the process. This approach uses different correlations to calculate important mass transfer and hydraulic parameters, such as: mass transfer coefficient, interfacial area, and liquid holdup. This paper aims to evaluate the performance of many correlations to represent the HPC process. An automatic procedure was developed to test a high number of equations, using MATLAB and Aspen Plus software. The best set of correlations was found after a comparison with industrial data. Correlations with errors less than 10% for the entire evaluated operating conditions were calculated for mass transfer coefficient and the interfacial area, as well as for liquid holdup.

Magnetized Tri-hybrid Nanofluids flow with binary Chemical Reaction and activation Energy through the porous Surfaces

Hybrid nanofluids are important to researchers because of their industrial applications due to their high heat transfer rates. Tri hybrid different types of nanoparticles are discussed here with Newtonian fluids under the effect of MHD. The most important chemical reaction associated with mass transfer and activation energy parameters hasbeen discussed in detail. The current research focuses on two-dimensional fluids with heat transfer enhancement flowing over a porous surface. The mathematical modeling of the problem, as well as empirical relations for nanoparticle materials, is expressed as PDEs, which are then translated into ODEs using appropriate variables. The Runge–Kutta and shooting methods are combined to solve the problems of the created coupled differential system. Variations in nanoparticle volume fraction at the lower and upper walls of porous plates, as well as heat transfer rate measurements, are computed using controlling physical factors. The impact of flow-related variables on the axial, radial, and temperature components of velocity and temperature distribution is also assessed.

Modeling and optimization of osmo‐sonicated dehydration of garlic slices in a novel infrared dryer using artificial neural network and response surface methodology

AbstractThis investigation aims to develop a novel infrared drying system and optimization of ultrasound‐assisted osmotic dehydration of garlic slices. RSM and ANN approaches are used for modeling and optimization of the process parameters. The factors sonication time, sonication temperature, and osmotic concentration, were considered to optimize responses, that is, solid gain (SG), weight loss (WL), rehydration ratio (RR), drying rate (DR), and allicin content (AC). The ultrasonic time and osmotic concentration had significant effects on mass transfer parameters and the quality of dried garlic slices. The optimum drying conditions were found at an ultrasonic temperature: 20°C, ultrasound time: 28.54 min, and osmotic concentration: 55.58% while the optimum responses were WL: 25.839%, SG: 3.557%, RR: 7.512, DR: 0.163 (g H2O/g.dm/min), and AC: 15.229 (mg/g). The prediction of the responses revealed that both RSM and ANN approaches can predict the model precisely but the ANN models showed higher accuracy.Practical ApplicationsThe developed lab‐scale infrared drying system can be used for drying other food commodities. The optimum drying performance plays a very prominent role based on the drying parameters and the quality attributes of the osmo‐sonicated assisted infrared drying. Enhancement of the drying performance depends on various factors like pretreatment, and actual drying condition prior to optimization. This research showed that increased drying performance in terms of mass transfer and quality attributes and optimum process conditions will be applied to the intelligent process design for any drying optimization for further development of large‐scale drying systems.

Parameter Identification of Electrical Equivalent Circuits including Mass Transfer Parameters for the Selection of the Operating Frequencies of Pulsed PEM Water Electrolysis

This paper proposes a parameter identification method for a PEM electrolyzer electrical equivalent circuit for pulse electrolysis. Since general water electrolysis mainly uses DC currents, identifying equivalent circuit parameters using electrical characteristics mostly ignores the operation frequency and unnecessarily adheres to the secondary RC model. However, looking at the Nyquist plot of the PEM electrolyzer, it can be confirmed that identifying the operational frequency is necessary, and the secondary RC model correction is essential. Therefore, the proposed method confirms the necessity of reconstructing an electrical equivalent circuit with a primary RC model by analyzing the transient cell voltage using step current inputs and calculating an appropriate operating frequency by identifying the parameters of the reconstructed equivalent circuit. To verify the proposed parameter identification method, a simulation was constructed from the raw test data of a 400 W commercial PEM electrolyzer. In addition, the hydrogen production amount was compared to DC using a pulse electrolysis experiment at the operating frequency obtained by the proposed method.

Evaluation of extractive distillation using efficiency correlation and experimental data

In order to evaluate the behavior of extractive distillation columns efficiency was used the correlation developed by Barros & Wolf, which considers the mass and heat transfer parameters, based on the physical and thermal characteristic of ideal and non-ideal liquid mixtures. The results obtained from Barros & Wolf correlation efficiency were compared with the experimental data obtained by Meirelles. For all cases studied, the solvent used to separate each mixture, reflect on the efficiency values in extractive distillation column. Those factors are more strongly when the interaction between the liquid and vapor phase in the column promote the turbulence, factor predominant on mass and heat transference. The correlation used here shows good approximation when the data from this correlation were compared with that from real profile data obtained by Meirelles, for extractive distillation column. The precision of this correlation is due the mass and heat phenomenon are involved in real process and the behavior efficiency along of distillation column is similar that described in the literature. For this, due the high complexity associated with carried out experiment in laboratory, the correlation used here can be explore to evaluate the profile of extractive distillation operations.

Drying kinetics of guabiju pulp (Myrcianthes pungens): Mass transfer parameters, mathematical modeling and evaluation of bioactive compounds

AbstractThis work aimed to estimate the mass transfer parameters of guabiju pulp under different temperatures of drying, modeling the kinetic curves using Fick's second law and the Lewis, Henderson–Pabis, Page, Modified Page, Logarithmic and Midilli models and to evaluate their biological properties and color. Guabiju pulp were dried at 313.15–373.15 K. The drying rate decreases over time, showing an exponential behavior with a significant influence of the operating temperature. Values of the effective diffusivity coefficient (Deff) between 1.578 and 10.755 × 10−9 m2 s−1were observed, with an activation energy of 30.77 kJ mol−1and an Arrhenius factor of 1962 × 10−4 m2 s−1. All models used showed good fit quality parameters (coefficient of determination—R2(>0.9521), sum of squared error—SSE (<0.0049), root mean square error—RMSE (<0.0699) and chi‐square test—X2(<0.0052)). The Midilli model showed the smallest deviations in relation to the experimental data. The values of the mass transfer constant (k6) ranged from 0.00036 to 0.01232 for the Midilli model. The best results for antioxidant activity, phenolic compounds and flavonoids were obtained at 353.15 K. The dehydrated guabiju pulp can be considered promising for human consumption and for food supplementation due to its biological activities, since the phenolic compounds act as pigments, flavor precursors and natural antioxidants.Practical applicationsDrying systems have proved to be an important strategy for the conservation of natural resources. However, they still lack studies by society. In line with drying systems, the kinetic modeling of the data allows simulating and optimizing the process, reaching the maximum potential of the process and making the process viable, reducing losses and errors and increasing product quality, facilitating industrial implementation and scale‐up. Thus, studies on the drying of guabiju pulp (Myrcianthes pungens) help to understand the process. Considering that the fruit has bioactive compounds and can be used in a certain product within the pharmaceutical, chemical or food industry.

Effect of solution condition on the binding behaviors of monoclonal antibody and fusion protein therapeutics in Protein A chromatography

Recent development in Protein A chromatography has adopted wash buffers with a wide range of pH to improve the removal of process-related impurities, e.g., host cell proteins (HCPs), from Fc-based target biological products. Thus, it is important to investigate the pH effect on the binding behaviors of target products of various properties on Protein A resins. Here we performed column breakthrough experiments for two monoclonal antibodies (mAbs) and one Fc-fusion protein on two Protein A resins from pH 4 to pH 10, and the experimental data was analyzed using a mechanistic model to obtain isotherm and mass transfer parameters. The two mAbs exhibited relatively high dynamic binding capacity (DBC) at 10% breakthrough of 43 – 67 g/L at pH 6–9 followed by a ∼30% decrease from pH 9 to pH 10; while the Fc-fusion protein reached the highest DBC at 10% breakthrough of 10 – 17 g/L at pH 5 and thereafter the capacity gradually reduced. Model analyses revealed that the two mAbs had higher maximum binding capacity by 2 – 5 fold but weaker binding affinity (12 – 64%) than the Fc-fusion protein from pH 5 to pH 9. For the three molecules, similar patterns of the pH impact were observed on the two Protein A resins with the Jetted A50 resin showing generally higher DBC and stronger binding affinity than the MabSelect SuRe LX resin. Additionally, an inverse relationship between the binding affinity and surface diffusivity was observed for both resins. Besides obtaining the isotherm parameters from the column breakthrough data, a direct batch equilibrium measurement showed comparable trend in these parameters with relatively more scattered values due to the inherent uncertainties to accurately determine the initial slope of the isotherm in highly favorable adsorption conditions. Finally, isothermal titration calorimetry (ITC) results revealed that the measured binding affinity using free Protein A ligand was stronger than that obtained from the breakthrough and isotherm results for the resin, possibly due to the reduced accessibility of the immobilized ligand on resin surface. Overall, this work can facilitate future Protein A ligand design and affinity chromatography process optimization for biomanufacturing.

Thermionic conversion performance analysis of the single-cell thermionic fuel element based on FROBA-THERMION code

The thermionic conversion performance of the single-cell thermionic fuel element (TFE) is influenced by fuel mass transfer and other parameters. With the consideration of current flow and heat transfer, the thermionic conversion model and the modified heat transfer model were implemented in FROBA-THERMION, a steady-state performance analysis code for the single-cell TFE. Afterward, both implemented models were verified by comparing with experiments or calculation results of KATET (a complex code developed by the Research Inst of SIA 'Lutch' of Russia to simulate single-cell TFE life behavior). Further, a steady-state performance simulation of the single-cell TFE was carried out. The results indicate that the thermionic conversion efficiency will be decreased due to the emitter temperature flattening caused by fuel mass transfer. In addition, the influence of several key parameters on thermionic conversion efficiency and measures to improve the thermionic conversion efficiency were analyzed.

Sensitivity Analysis and Anaerobic Digestion Modeling: A Scoping Review

A growing awareness of global climate change has led to an increased interest in investigating renewable energy sources, such as the anaerobic digestion of biomass. This process utilizes a wide range of microbial communities to degrade biodegradable material in feedstock through a complex series of biochemical interactions. Anaerobic digestion exhibits nonlinear dynamics due to the complex and interacting biochemical processes involved. Due to its dynamic and nonlinear behavior, uncertain feedstock quality, and sensitivity to the process’s environmental conditions, anaerobic digestion is highly susceptible to instabilities. Therefore, in order to model and operate a biogas production unit effectively, it is necessary to understand which parameters are most influential on the model outputs. This also reduces the amount of estimation required. Through a scoping review, the present study analyzes the studies on the application of sensitivity analysis in anaerobic digestion modeling. Both local and global sensitivity analysis approaches were carried out using different mathematical models. The results indicate that anaerobic digestion model no.1 (ADM1) was the most commonly used model for analyzing sensitivity. Both local and global sensitivity analyses are widely employed to investigate the influence of key model parameters such as kinetic, stoichiometric, and mass transfer parameters on model outputs such as biogas production, methane concentration, pH, or economic viability of the plant.

Analytical investigation of an incompressible viscous laminar Casson fluid flow past a stretching/shrinking sheet

This paper presents an analytical approach on capturing the effect of incompressible, non-Newtonian, viscous, Casson nanofluid flow past a stretching/shrinking surface, under the influence of heat radiation and mass transfer parameter. The governing nonlinear partial differential equations are first transformed into a series of associated nonlinear ordinary differential equations with aid of predictable transformation, while numerical computations follow. The implied nanofluid here is aluminum oxide (Al_{2} O_{3}). The analytical solution is exploited to reveal the accompanying non-dimensional boundary value problem and output results are employed to verify the method's reliability, where it is shown that they agree with current findings in the field. An incomplete gamma function is used to solve temperature equation analytically. We present various instances of the solution, depicting effects of the essential flow factor, the stretching/shrinking parameter, the mass transfer parameter, radiation parameter, and Prandtl number.

Modeling the drying kinetics of soybeans under intermittent operation in thin layer

The extraordinary expansion of soybeans production and trade volumes over the past few decades has undoubtedly generated global economic benefits.One factor responsible for the commercial success and extension of soybean shelf life is the drying process, which involves both heat and mass transfer. Alternatively, intermittent drying aims to improve the process in terms of yield, energy use and product quality. Thus, presenting a mathematical model that describes the soybean drying kinetics in intermittent thin-layer operation is a novelty in this study. The first order Runge-Kutta method was used to solve the proposed model, through which it was possible to obtain a detailed knowledge of the heat and mass transfer parameters involved in the drying process. It was possible to properly fit a mathematical model, based on mass and energy balances, which predicted the temperature and moisture profiles of the grain as a function of drying time, as well as the determination of physical parameters, such as global coefficients natural and forced convection heat transfer and the apparent global mass transfer coefficient.

Heat and mass transfer analysis of MHD stagnation point flow of carbon nanotubes with convective stretching disk and viscous dissipation

The research of single and multi-wall carbon nanotubes (SWCNTs/MWCNTs) mixed in sodium alginate-based nanofluid with MHD stagnation-point flow on a convective heated stretching disk with viscous dissipation and suction effects is being done with the intention of decoding the heat and mass transmission mechanism. It is possible to transform PDEs that govern the boundary layer into ODEs. MATLAB’s Bvp5c is used to numerically solve the revised equations. The Yamada-Ota model and the Buongiorno model are used in this work to scrutinize the flow, heat, and mass transfer parameters. The following parameters were brought up for discussion: volume fraction nanoparticle, magnetic parameter, suction, Brownian motion, thermophoresis, Lewis number, Eckert number, Biot number, stretching, and thermophoresis. This study found that nanofluid (SWCNT/sodium alginate) has a superior flow, heat, and mass transfer rate than nanofluid (MWCNT/sodium alginate). Graphical representations of the effects of various factors are shown, and a comparison of current and prior findings is given in a table. A comparison of current and previous findings reveals a 0% relative inaccuracy. The velocity ratio parameter has solutions that look close to the separation value. The performance of heat and mass transfer operations may be improved by increasing suction parameters. Increases in Brownian motion [Formula: see text] and suction decrease the temperature profile, whereas increases in velocity ratio and magnetic parameters increase velocity. This research is critical for estimating flow, temperature, and concentration behavior for CNTs with incorporated physical properties.

Feasibility study mixed oxide fuel tests in the impulse graphite reactor

The article presents the results of computational studies to substantiate the possibility of testing the fuel of the Multipurpose hYbrid Research Reactor for a High-tech Applications reactor (MYRRHA) in the Impulse Graphite research Reactor (IGR). A scheme for conducting experiments is proposed, which allows simulating the operating conditions of MYRRHA fuel elements in a wide range of changes in their thermohydraulic parameters, including the conditions of accidents with the destruction of fuel pellets, blocking the flow area and stopping the coolant flow. A method for thermohydraulic calculations has been developed, implemented in the software environment of the computational fluid dynamics (CFD) code. A computational model of the experimental device is developed, optimized according to the spatial partitioning grid. A turbulence model for determining the parameters of convective heat and mass transfer in a eutectic lead-bismuth alloy is selected and substantiated.

Synthesis and application of treated activated carbon for cationic dye removal from modelled aqueous solution

Use of activated carbon (AC) prepared from rice husk and treated with anionic surfactant is investigated to eliminate cationic dye crystal violet (CV) using modelled dye solution. AC modified with anionic surfactant sodium lauryl sulfate (ACSLS) and other two surfactant namely sodium dodecyl sulfonate and hexadecyl trimethyl ammonium bromide were used for the analysis. Optimum ACSLS was analyzed and characterized using BET, XRD, SEM accompanied with XEDS, FTIR, HR-TEM and zeta potential, which confirms the sorption of CV onto ACSLS. Influence of pH, dose of adsorbent, concentration of initial dye, contact time, additive salts as well as actual water samples were investigated. Presence of NH4+, Ca2+, Mg2+, Na2+, Ca2+and K+cations in dye solution were having negligible (less than 4 %) influence on dye removal capacity. Study of mass transfer parameters revealed intra particle diffusion and film diffusion both played their part, whereas other kinetic studies has shown that experimental data fitted best with Pseudo 2nd order rate. Isotherm studies accompanied with error analysis revealed that Langmuir isotherm controls the adsorption equilibrium with highest capacity of CV adsorption with optimum operating conditions as pH = 6, temperature = 318 K, adsorbent dose = 100 mg/L and dye concentration = 30–60 mg/L. Study of thermodynamics and temperature analysishave shown that the sorption reaction was favourable and spontaneous with rise in temperature and endothermic in nature. Column studies are reported for varying rate of flow, depth of bed and dye concentrations along with analysis of column experimental data with various models like Yoon-Nelson, Thomas, Bohart-Adam and Clark model. Reusability (no. of cycles) of used adsorbent was studied using regeneration experiments. Analysis inferred that AC modified using surfactants can be a useful technique for enhanced adsorption capacity of dyes from aqueous solution andnot much work has been reported on use of anionic surfactant modified AC for dye removal process.

Estimation of the electrochemical kinetic parameters of redox couples, on activated porous electrodes, based on impedance spectroscopy and particle swarm optimization

Implementing organic redox flow batteries requires attending some parameters directly related with the performance and stability of the cell. One is the charge transfer kinetics of organic molecules, which depends on the characteristics of the electrode surface. The heterogeneous complexity of carbon electrodes (porosity and hydrophobicity) should be considered when applying strategies to evaluate these devices. This work presents a multivariable transfer function to study the electrochemical interface in organic redox flow batteries using electrochemical impedance data and the particle swarm optimization algorithm. The experiments were performed with hydroquinone and benzoquinone as representative redox organic molecules. Three carbon paper surfaces were considered to evaluate the kinetic and mass transfer parameters (a pristine electrode and two electrochemically activated electrodes). The results described two zones of interaction between the redox couples and the electrodes: flat and porous. The formal standard rate constant improved significantly in the activated electrodes, and the parameter values corresponding to the porous area were considerably lower than the flat area, indicating that the porous controled the charge transfer stage in the system. Comparing our values with other authors, we confirmed that similar values were reported, but the systems were treated as if the electrodes were flat areas, which shows the limitations of the commonly used evaluation methods.

Vacuum impregnation of fresh-cut apples with osmotic solutions containing honey

Fresh-cut apples were subjected to mild vacuum impregnation (Vacuum pressure=67.7 mbar). M0: 30 °Brix honey solution (HS); M0.5: HS+0.5% citric acid (CA)+0.5% ascorbic acid (AA); and M1: HS+1% CA+1% AA were used as osmotic solutions. Changes in soluble solids (SS), pH, firmness, color (∆E*ab), total phenolic and vitamin C content, and antioxidant capacity were evaluated on days 0 and 7 of storage at 1.5 °C. Mass transfer parameters were calculated. The best results were obtained with the M1 treatment. Vacuum-impregnated fresh-cut apples gained solids (3.3%) and weight (1.6%) and lost water (1.8%). The following modifications were observed on day 0: an increase of SS (26%), a reduction in firmness (14%), a slight color change (∆E*ab=3.3), a great increase in vitamin C content (31 times higher than in fresh-cut fruits) and increases in total phenolic content and antioxidant capacity (27% and 77%, respectively). On day 7 of storage, an additional reduction of firmness was observed, but the other attributes were maintained or increased. The M1 treatment is an appropriate alternative for processing fresh-cut apples and obtaining improved healthy attributes.

DIFFERENTIAL METHOD OF QUALITY CONTROL OF PHYSICO-MECHANICAL CHARACTERISTICS OF KNITTED FABRIC FOR BATHING SUIT

The actuality of the introduction of textile materials with the content of nanopowders based on oxides of divalent and trivalent iron has been proven. The main directions of implementation of such materials into real practical results are shown. The algorithm for the synthesis of magnetic nanomaterials was developed. Adhesion properties of magnetic nanopowders to textile fibers are determined. It is shown that exposure for 5 – 7 days ensures almost absolute adhesive resistance and provides a combination of textile properties with magnetic nanopowders. Bacteriostatic properties of nanomagnetic textile materials were determined. For this purpose, the growth dynamics of mold fungi was determined. It is shown that the content of nanomagnetite significantly suppresses the growth of mold infections. The magnetic properties of textile materials are described, the possibilities of their introduction into elements of smart clothing, medical and protective materials are determined. Magnetic technologies in medicine, compression elements of clothing can be provided with the help of magnetic textile materials. The magnetic effects of such materials make it possible to create elements of clothing with a change in geometry. This determines the possibility of using such materials for smart clothes with new effects. The possibilities of creating magnetic nanomaterials with given structural characteristics have been proven. The addition of nanopowders reduces the size dispersion of structural elements, reduces their size, and increases density. This effect allows ensuring the specified transfer characteristics of textile materials, which provide the necessary parameters of heat transfer and mass transfer. The possibilities of using magnetic textile materials against electromagnetic radiation are shown. The structure of directions for the use of magnetic textile materials for medical and protective products, as well as for promising elements of smart clothing, has been developed.