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Sabyasachi Ghosh,Sayan Ganguly,Poushali Das,Tushar Kanti Das,Madhuparna Bose,Nikhil K. Singha,Amit Kumar Das,Narayan Ch. Das 한국섬유공학회 2019 Fibers and polymers Vol.20 No.6
Conductive filler loading in the polymer matrix is a common practice to transform insulative polymers toconducting composites. In case of textiles, the highly promising approach has been coined by virtue of fabricating withconductive adhesive homogeneous coating. The present fabrication approach has been developed by two-stage wet mixingtechnique including synthesis of silver nanoparticles decorated graphene sheets (rGO/Ag), followed by the preparation ofconducting coating by non-ionic polymer adhesive. The novelty lies in the choice of conductive material and coating strategyto make lightweight and flexible smart electronic fabric. In order to protect the radiation pollution from the immense use ofelectronic devices and gadgets, the coated textiles can be an excellent replacement of other commercially available polymercoatings. The electromagnetic interference (EMI) shielding effectiveness of the prepared coated textile was 27.36 dB in the Xband (8.2-12.4 GHz). Besides this it is worth mentioning that our developed coated fabric was enough conductive to light upa series of 57 LEDs with high intensity. Last but not the least this work also reconnoitres bactericidal feature against E. coli.
Sabyasachi Ghosh,Subhadip Mondal,Sayan Ganguly,Sanjay Remanan,Nikhil Singha,Narayan Ch. Das 한국섬유공학회 2018 Fibers and polymers Vol.19 No.5
Herein, an intelligent cotton fabric was fabricated using a non-ionic surfactant based macro structured carbonaceous coating through the ‘knife-over-roll’ technique. The developed novel fabric was tested as flexible, mechanically robust with prolonged chemical/moisture resistance. Various characterization techniques were thoroughly used to analyze the fabric. The as-prepared fabric shows an outstanding electromagnetic interference (EMI) shielding efficiency (SE) of about 21.5 dB even at the lowest possible coating thickness (0.20 mm) where the highest EMI SE of 30.8 dB is obtained at only 0.30 mm coating thickness over the X-band frequency range (8.2-12.4 GHz), possibly due to the threedimensionally interconnected network structure of conducting carbon particles. The micro-computed tomography disclosed the porous architecture and “void-filler” arrangement within the fabrics. For the betterment of serviceability and practicability of the coated fabric, the water tolerance and contact angle studies were conducted. The relatively high contact angle than pure cotton fabric, and excellent water resistance after coating ensure improved endurance for external or industrial uses. Therefore, this proof-of-construct manifests commercialization of the developed fabric for multipurpose applications in a facile, less-hazardous and economical way.
Modeling of the Drivers’ Decision-Making Behavior During Yellow Phase
Sabyasachi Biswas,Indrajit Ghosh 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.11
Stop and go modeling at signalized intersections under heterogeneous traffic conditions has remained one of the most sought-after fields. Drivers are often caught up in the dilemma zone and unable to take quick decisions whether to stop or cross the intersection. This hampers the traffic movement and may lead to accidents. These variables include distance-to-stop line, time-to-stop line, approach speed, acceleration/deceleration and category of the vehicle. Further, using external validation, the overall accuracy levels of the drivers' decision models based on Logistic regression (81.5 percent), Fuzzy Logic (86.98 percent) and ANN (88.67 percent) were compared. Further, a hybrid surrogate model, incorporating the ‘Weighted Average’ technique was developed so that the individual disparities were diminished and the overall accuracy for both stopping and crossing vehicles was improved. This Weighted Average Hybrid Model (WAHM), formulated by coupling Fuzzy Logic and ANN, yielded a highly accurate result (96.15 percent) and outperformed both ANN and Fuzzy Logic.
Sayan Ganguly,Subhadip Mondal,Poushali Das,Poushali Bhawal,Tushar Kanti Das,Sabyasachi Ghosh,Sanjay Remanan,Narayan Chandra Das 한국고분자학회 2019 Macromolecular Research Vol.27 No.3
Dispersion of graphene as nano-building block in polymer matrix is challenging for developing high strength polymer nanocomposites. Tuning of surface polarity can be an effective pathway to resolve this issue of dispersion. Besides this, the polymer matrix (Ethylene methyl acrylate or EMA) has been chosen here judicially due to its polar-nonpolar alternating copolymeric segments which indirectly facilitated dispersion of nanofillers. Herein, graphene oxide has been lyophilically modified by virtue of surface grafting phenomenon with the help of di-halo substituted silane. The most surprising outcome which has been nurtured is their superior dispersion, improvement in physico-mechanical features, and transparency without affecting the inherent compliance of pristine polymer. The transmission electron microscopic image of silane functionalized graphene oxide (GOF) is showing surface roughness which has immense effect of physisorption and mechanical anchoring of polymer chains over GOF nano-sheets. Such physical interaction has enough impact on mechanical properties which has been discussed here. Moreover, the deterioration of transparency was not so much affected after loading of GOF filler. The filler distribution also has been confirmed in the light of small angle X-ray scattering (SAXS) study. Thermal treatment has been conducted for composites which accounted high thermal stability comparatively to pristine polymer.