فصلنامه علوم و فناوری نساجی
سال یازدهم شماره 3 (پاییز 1401)

In this study, a mesoporous silica nanostructure was synthesized and magnetized (Magnetic-SBA-15) and then its ability to remove reactive red 198 dye (RR198) from aqueous solution was investigated. The structure of produced adsorbent were evaluated by X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR). the effect of effective parameters on the adsorption process such as pH, adsorbent dose, contact time, temperature and dye concentration were investigated and optimized. The optimum conditions for removal of reactive red 198 dye was pH =2, adsorbent dosage of 0. 4 g/l ,contact time of 60 minutes and temperature 25 ⁰C in 60 ppm of dye concentration. UV-vis spectrophotometer was used to determine the amount of residual dye in the solution. To determine the type of adsorption isotherm, the Langmuir, Freundlich and dubinin-radushkevich equations of adsorption isotherms were used. The results showed a good fit for the Langmuir adsorption isotherm (R2 = 0.997 and RL = 0.275). According to the values obtained from thermodynamic parameters such as enthalpy (-15.346 kJ/mol) and Gibbs free energy, the removal of reactive red 198 dye by Magnetic-SBA-15 was exothermic and spontaneous.

Conventionally, dye adsorption and oxidation approaches are usually used to remove dyes from effluent. The new technique is based on liquid-liquid separation via reverse micelles, through which it is possible to recycle dye and solvent. Experiments were performed by mixing a certain amount of dye, aqueous phase, solvent phase and surfactant in a stirrer. Separation of the aqueous phase from the solvent phase containing the dye encapsulated in reverse micelles was carried out by gravity in a burette. The removal of methylene blue and direct red 21 from the aqueous phase was performed by using an anionic (LAS) or a cationic (CTAB) surfactant in benzyl alcohol solvent. Experimental results showed that the removal of dye from the aqueous phase increases by reducing the initial concentration of dye, so that a decrease in initial dye concentration from 3 to 2 mg/L leads to an increase in dye removal efficiency from 59 to 70%. Meanwhile, the presence of anionic surfactant contributed to remove of methylene blue from the effluent up to 73%. Moreover, increasing in retention time also caused an increase in dye removal, so that an increase in retention time from 10 to 20 min leads to an increase in dye removal efficiency from 48 up to 73%. The use of benzyl alcohol in the dye solution caused the dye to be absorbed into the benzyl alcohol and led to a reduction in chemical oxygen demand (COD).

The outbreak of the corona virus, which began in late 2019, has led to a significant increase in the demand for face masks. Fabric masks are the simplest type of masks that can be used to protect against the virus. Today, compounds such as hydroxyapatite used to improve the performance of masks. These material do have any toxic effect in the body and are suitable biocompatible with body tissues. In this article, spunbond non-woven fabric treated with hydroxyapatite and it used as middle layer in three layer masks whereas inner and outer layers were fabricated with two types of weft knitted and plain. After preparing the masks, the designed simulated device was used to measure the passage of pollutants in the air. On the other hand, the effect of washing cycles on the performance of these types of masks was investigated. The results showed that for all three mask layers (inner-middle-outer), the effect of mask structure and washing cycle on weight changes is significant. In addition, the results showed that the masks containing middle layer treated with hydroxy apatite nano-structure doped with ZnO nanoparticles have the highest air permeability.

The feeling of human need for various fashions and clothes makes the variety of incoming fabrics and outgoing clothing from clothing factories very high. Certainly, controlling and optimizing this process without the use of application software will be time consuming and with a lot of errors. In this research, it has been tried to present the application of Lingo optimization software in human resource management and the number of products produced in order to maximize profits according to the constraints of clothing factories. This widely used software is easily accessible. For this purpose, a factory was mathematically modeled by producing three products: T-shirts, sweatshirt and sports pants. The objective function of maximizing factory profit was defined by selecting the most skilled operator for each stage of production of each product and the number of productions of each product. Determining the operators of each workstation based on their skills and the number of productions of each product were defined as decision variables. All factory and human resource constraints were raised mathematically. Finally, the model was solved in Lingo software and the results showed that the factory profit could be increased by 7% by choosing the right operators and changing the production number of each product. Furthermore, considering that this software determines the location of the production bottleneck, the profit can be increased up to 22% with cost-effective offers.

Today, fashion industry has a well potential in Iran. This industry, is growing through its Iranian-Islamic cultural credit and educated human resource, propounded in regional and international markets. Thus, it seems necessary to focus more on economics sides of fashion industry. The purpose is surveying the effect of marketing mix applying FAHP and VIKOR approach on Islamic Fashion consumer’s behavior in Mazandaran Province. In this research, four types of behavior including Complex behavior, Dissonance-Reducing behavior, Habitual behavior and Variety-Seeking buying behavior were evaluated and the effects of marketing mix on these behaviors have been surveyed. Analysis of data has been carried out using Fuzzy AHP and Fuzzy VIKOR methods. Based on the results, complex behavior has the greatest degree of importance, followed by Dissonance-Reducing and Variety-Seeking behaviors. Furthermore, among marketing mix elements, promotion and product have greater impact on formation of consumer’s shopping behavior.Keywords: Consumer willingness to pay,Marketing Mix, Consumer’s Behavior, FVIKOR, FAHP, Fashion

the current research aims to identify and analyze the drivers affecting the future of digital branding in the carpet industry. Iran is divided into two parts, qualitative and quantitative, and based on the goal, it follows a developmental research method and in terms of its nature, it follows the future research method. , were identified from among the scientific articles published in this field and were extracted and categorized using the qualitative content analysis method and NVIVO software in the form of open, central and selective codes; Then, using the quantitative method of mutual effects analysis, questionnaires of paired comparisons were distributed among 12 Iranian carpet industry experts, and data analysis was done using MicMac software by drawing an interpretive structural model of digital branding in Iran's carpet industry, as well as a power influence diagram. - Dependency led to a layered model in the field of drivers affecting the future of digital branding in Iran's carpet industry; Based on this, it can be said that drivers such as the new form of cultural capital focused on digital technologies or the change in consumer behavior due to the advancement of technology can lead to the movement of digital capital towards social capital in the form of online platforms and benefit from Creative strategies and event sponsorships, partnerships with influencers and creators, and native content creation impact the digital branding of the carpet industry