نشریه صنعت لاستیک ایران
پیاپی 103 (پاییز 1400)

Polymeric Materials are widely used during their Shelf life in Exposure to a Variety of Chemicals. Therefore, it is very important to Study the Behavior of Solvent Molecules Diffusion from these Materials. Studies on the Solvent molecules Diffusion into Polymer Blends are not well understood. In Polymer Composites and Blends, Changes in the Volume Fraction of each Component change the penetration transfer behavior. In Polymer Blends, by changing the Volume Fraction of the Blends Components, a Phase Transition Occurs between the Matrix and the Dispersed phase, which can change the Diffusion behavior of the penetrating molecules due to the volume fraction changes of the Blends. Various Models have been proposed by various Researchers to the Modeling of volume fraction changes Effect on the Transport Characteristics of solvent Molecules into two-component Polymer Systems. Among these Models, Robson Model and Equivalent Box Model by Klarik (EBM) are the most complete Models Predicting the Transport Behavior of Solvent Molecules into Polymer Blends and Composites. The Results of Studies on the Average Difference of the modeled data and the experimentally data for the NR/NBR Blends Show that the Robson model with 1.4% has the Least Difference with the experimentally data.

Traditionally; most of the rubber mixes for the tire industry are produced in tangential internal mixers. The quality of the mixing equipment contributes in an important way to the quality of the semi-finished rubber profiles and further on to the performance of the tires. To enhance quality and to increase production output, manufacturers are always interested in optimizing process parameters and machinery equipment. The geometry of the rotors of an internal mixer is one of the key elements of the machinery equipment. The aim of the European research project rotor is to develop an innovative and optimized rotor geometry by the means of the numerical flow simulation, instead of a classical trial and error approach. At the end of the project an experimental validation of the newly developed rotors is done. In the present paper, the authors describe the results of experimental studies on a GK50 UK internal mixer. The old standard rotor geometry for tangential internal mixers (OS geometry) is compared to the newly developed rotor geometry (MD-SC geometry). The most important aspects of mixing, as dispersive and distributive mixing efficiency of the rotors, are discussed.

Thermoplastic elastomers )TPEs( bring a combination of good plasticity of plastics and mechanical properties of elastomers that are important to component designers. These materials are especially used in the automotive industry to make a variety of parts, including strong shields. The injection process is one of the most common methods of making these polymers, which allows mass and industrial production. In this study, the injection process of elastomeric thermoplastic shield made of polypropylene / styrene- butadiene rubber + natural rubber (PP + SBR / NR) was simulated using Autodesk Moldflow software and the appropriate injection port location, optimal process conditions and possible injection defects Were discussed. Injection mold filling time, injection pressure, melt and mold temperature, cooling time, warpage and shrinkage are among the parameters that have been analyzed in this study. Also, possible positions of air trapping and weld lines were identified as the most common possible injection defects.

Diagnosing tire defects is an important part of the tire inspection automation process. Various solutions have been proposed to diagnose tire defects using tissue and local information. These solutions are very important in identifying various types of tire quality control defects for tire manufacturing companies. Due to the fact that the examination of X-ray images by the operator is a time-consuming and costly process, so the use of machine vision and machine learning is an important issue in this industry. In this paper, a new solution to detect tire defects in X-ray images based on image processing techniques and using the method of extracting image texture properties is presented. In the proposed method, local binary pattern )LBP) techniques are used to extract the defect properties. In order to evaluate the proposed solution, the tire data set was prepared with X-ray images, which by applying the proposed algorithm on this set, a good accuracy in fault diagnosis was obtained, which also has a desirable performance.

The aim of this study was to investigate the effect of marketers 'personal characteristics on consumer buying behavior with the mediating role of marketers' satisfaction in the rubber industry. The concept of individual characteristics is seen as the sum of the ways in which a person reacts to, or through which he or she interacts with, others. This research is descriptive in terms of applied purpose and in terms of nature and method. The statistical population of this study includes 110 managers and experts of Kian Tire Company. According to the stratified random sampling method, in this study, stratified random sampling method was used to determine the statistical sample and Cochran's formula was used to determine the sample size. The number of statistical samples was 86 people. Data were collected using a Likert scale questionnaire and structural equation modeling was used to analyze the research data. Based on the findings of the present study, marketers 'personal characteristics affect consumers' buying behavior, also marketers 'personal characteristics variable affects marketers' satisfaction and marketers 'satisfaction mediating variable affects consumers' buying behavior. This study showed that the effect of marketers' personal characteristics on consumers' buying behavior with the mediating role of marketers' satisfaction in the country's pharmaceutical industry will be affected by increasing competition between pharmaceutical companies and this will be possible by having motivated employees who are satisfied with their jobs. Employees who can keep up with changes and improvements in the organization.

Currentlythereiscompetitionbetweensupplychains.Inmodernbusinessenvironments, an effective supply chain management (SCM) is crucial to business continuity. Competition between supply chains (SC) has replaced the traditional competition between companies. Lean, Agile, Resilient and Green (LARG) paradigms are advocated as the foundation of a competitive SCM. Nowadays, companies review trade samples and process of supply chain inevitably by using improving new techniques because of rapid environmental change. For this purpose, Larg supply chain management is a comprehensive approach to combining lean, agile, resilient and green strategies. Management of supply chain tries to apply lean, agile, resilience, green and in supply chain management in space of management of supply chain by use of the approach in order to benefit advantages of each of them and cover their deficiencies simultaneously. In this paper, we will examine the Larg supply chain management models that are composed of lean, agile, resilient and green supply chain paradigms. The results show that these models have a significant impact on supply chain performance and gain competitive advantage.

The purpose of this study is to investigate the impact of brand community on brand loyalty through the mediation of Customer Identification and Customer Brand Engagement. The present research is a descriptive-correlational and applied study. The statistical population is the customers of Hyperstar store and the sample size was calculated as 374 customers according to Cocaran's formula. Questionnaire was used to evaluate the research hypotheses and the relationships between variables. To evaluate the validity of the questionnaire, content validity method was used and to determine the reliability, Cronbach's alpha was used. In this research, to investigate the relationships and hypotheses, structural equation modeling and partial least squares methods were calculated using smartPLS software. The findings confirm all the hypotheses, in other words, the brand community has a positive and significant effect on brand loyalty through the mediation of Customer Identification and Customer Brand Engagement.

Intellectual agility refers to a set of knowledge stored in the employees of the organization that can pave the way for innovation in the organization. The aim of this study was to investigate the intellectual agility of innovation in micro and small businesses with emphasis on the mediating role of entrepreneurial leadership. The statistical population of the present study was the managers of micro-businesses in Tehran, 200 of whom were selected by random sampling method. The data collection tool in the present study was a researcher-made questionnaire that included four sections: personal information, measurement of enlightenment, measurement of entrepreneurial leadership and measurement of intellectual intelligence. Its validity was confirmed by experts and its reliability was confirmed by Cronbach's alpha (for each section (above 0.80). Innovation is effective and the results of structural equations showed the significance of the research model, in which all analyzes were performed by IBMSPSS software version 24 and LISREL version 8.5.