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- 저자 : Javad Kadkhodapour (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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Mohammadbagher Azizkhani,Alireza sangsefidi,Javad Kadkhodapour,Ali Pourkamali Anaraki 국제구조공학회 2021 Structural Engineering and Mechanics, An Int'l Jou Vol.77 No.2
Due to various benefits such as unlimited degrees of freedom, environment adaptability, and safety for humans, engineers have used soft materials with hyperelastic behavior in various industrial, medical, rescue, and other sectors. One of the applications of these materials in the fabrication of bending soft actuators (SA) is that they have eliminated many problems in the actuators such as production cost, mechanical complexity, and design algorithm. However, SA has complexities, such as predicting and monitoring behavior despite the many benefits. The first part of this paper deals with the prediction of SA behavior through mathematical models such as Ogden and Darijani, and its comparison with the results of experiments. At first, by examining different geometric models, the cubic structure was selected as the optimal structure in the investigated models. This geometrical structure at the same pressure showed the most significant bending in the simulation. The simulation results were then compared with experimental, and the final gripper model was designed and manufactured using a 3D printer with silicone rubber as for the polymer part. This geometrical structure is capable of bending up to a 90-degree angle at 70 kPa in less than 2 seconds. The second section is dedicated to monitoring the bending behavior created by the strain sensors with different sensitivity and stretchability. In the fabrication of the sensors, silicon is used as a soft material with hyperelastic behavior and carbon fiber as a conductive material in the soft material substrate. The SA designed in this paper is capable of deforming up to 1000 cycles without changing its characteristics and capable of moving objects weigh up to 1200 g. This SA has the capability of being used in soft robots and artificial hand making for high-speed objects harvesting.
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Youssef Taraz Jamshidi,Ali Pourkamali Anaraki,Mojtaba Sadighi,Javad Kadkhodapour,Seyed Mohammad Hossein Mirbagheri,Behnaz Akhavan 대한금속·재료학회 2021 METALS AND MATERIALS International Vol.27 No.5
Foam filled tubes (FFT) are novel structures with high energy absorption, enhanced strength to weight ratio, and tailoringcapability. In the present paper, we have analyzed quasi-static uniaxial compression and low-velocity impact behavior of FFTwith closed-cell metallic foam cores and functionally graded densities both experimentally and numerically. Alporas foamswere manufactured using liquid state method with TiH2blowing agent. We prepared Specimens with graded compositionand densities by stacking of several layers of pure aluminum and A356 alloy Alporas foams with cubic geometry. We conductedseveral standard uniaxial compression experiments to determine the non-linear mechanical properties and hardening.Square aluminum tubes are manipulated to enhance the performance and tailoring specification of the structure. We generatedmicrostructural models using a hybrid 3D Voronoi diagram and CT-scan images to predict mechanical behavior numerically.Computed tomography is used to determine the inner cells morphological characterization. Also, the modified Kelvin cellwith a beam element in edge regions is manipulated to enhance accuracy. Comparing the quasi-static experiment and FEAresults show good accordance, and hence, we achieved the calibrated model. Finally, we used the numerical model in FFTtailoring and mechanical properties design.
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