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RISS 인기검색어
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- 저자 : Behzad Shirkavand Hadavand (검색결과 3 건)
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Mohammadbagher Azizkhani,Javad Kadkhodapour,Ali Pourkamali Anaraki,Behzad Shirkavand Hadavand,Reza Kolahchi 국제구조공학회 2020 Steel and Composite Structures, An International J Vol.35 No.6
Multi-Walled Carbon nanotubes (MWCNT) coupled with Silicone Rubber (SR) can represent applicable strain sensors with accessible materials, which result in good stretchability and great sensitivity. Employing these materials and given the fact that the combination of these two has been addressed in few studies, this study is trying to represent a low-cost, durable and stretchable strain sensor that can perform excellently in a high number of repeated cycles. Great stability was observed during the cyclic test after 2000 cycles. Ultrahigh sensitivity (GF>1227) along with good extensibility (ε>120%) was observed while testing the sensor at different strain rates and the various number of cycles. Further investigation is dedicated to sensor performance in the detection of human body movements. Not only the sensor performance in detecting the small strains like the vibrations on the throat was tested, but also the larger strains as observed in extension/bending of the muscle joints like knee were monitored and recorded. Bearing in mind the applicability and low-cost features, this sensor may become promising in skin-mountable devices to detect the human body motions.
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Mahdi Safi,Fahime Gheisar,Farhood Najafi,Behzad Shirkavand Hadavand 한국섬유공학회 2023 Fibers and polymers Vol.24 No.12
This study aimed to investigate the capability of two silicon-based resins, namely Polydimethylsiloxane (PDMSiA) and Poly (dimethyl/diphenyl siloxane) modified with amino groups (PDMDPhSiA), to induce a visible shade-darkening effect when applied as finishing agents on black-dyed polyester and cotton fabrics. The process involved the utilization of deepening agents with a low refractive index to achieve this visual darkening effect. The analysis encompassed several aspects. FTIR spectroscopy was employed to characterize the chemical structure of the synthetic products. The refractive indexes were quantified using the Swaneopeol method. To gauge the effectiveness of the treatment, the color depth of the treated fabrics was assessed using parameters such as color yield (K/S) and the ratio of the difference in lightness (DL*) to the overall color difference (ΔEab*). Moreover, the study delved into the fastness properties of the dyed fabrics after the finishing process. Comparatively, the results highlighted that the use of PDMSiA resin led to an enhanced color depth in the finished fabrics, outperforming the effects of PDMDPhSiA resin. The evaluation of color fastness demonstrated significant improvements across the board, with all samples achieving a grade of 5 or higher. The study determined that the optimal conditions for applying both resins involved a concentration of 20%, a pick-up rate of 85%, and a curing temperature of 180 °C. These conditions yielded the most favorable outcomes in terms of achieving the desired shade-darkening effect on the dyed fabrics.
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Ali Akbar Abbasian Arani,Ali Akbar Azemati,Mohammad Rezaee,Behzad Shirkavand Hadavand 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.5
Natural convection in enclosures containing nanofluids is important in physical and environmental applications. Different models for conduction have been developed because of the importance of this phenomenon in natural convection in enclosures. In this study, effects of conduction models of Chon, Corcione, Khanafer, and Koo and Kleinstreuer on the natural convection inside a trapezoidal enclosure with hot and cold walls are evaluated numerically. The enclosure contains Al 2 O 3 -water nanofluid with variable properties. Effects of the conduction models on fluid flow, natural convection, variations in volume fraction, and diameter of nanoparticles in the models, as well as the variations in the Rayleigh number, are examined. Results show that at Rayleigh numbers of 10 5 and 10 6 , the maximum and minimum values of the average Nusselt number are obtained using the models of Khanafer and Chon, respectively. In all models, the average Nusselt number presents upward and downward trends when the volume fraction of nanoparticles increases but decreases when the diameter of the nanoparticles increases. At Ra = 10 5 in all models, as the volume fraction of nanoparticles increases, the nanofluid provides a higher average Nusselt number compared with the base fluid. By contrast, at Ra = 10 6 , at volume fractions larger than 0.01 and using the model of Chon, the average Nusselt number of the nanofluid is lower compared with that of the base fluid.
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