Enhanced hydrogen storage performance in Pd3Co decorated nitrogen/boron doped graphene composites

In order to harness the potential of hydrogen as an alternative energy carrier, overcoming the barrier related to its storage is of utmost importance. In this direction, it has been shown that dissociation of hydrogen molecules into atoms followed by their adsorption onto high surface area nanomaterials like reduced graphene oxide is a promising pathway. In the present study, we have exploited this pathway, commonly known as the “spillover mechanism” and achieved a hydrogen storage capacity of ～4.6 wt% at 30 bar and 25 °C in Pd₃Co decorated boron doped graphene composite. We demonstrate that optimum loading of transition metal alloy nanoparticles coupled with heteroatom (nitrogen or boron) doped graphene support is an efficient, easy and cost effective avenue towards meeting the US department of energy (DOE) targets for gravimetric hydrogen storage capacity at room temperature and moderate pressures.     

Complexity reduction in a telephone switching system

This paper reviews some of the recent developments in complexity theory as applied to telephone-switching. Some of these techniques are suitable for practical implementation in India.     

Synthesis and Characterization of Reduced Graphene Oxide- Polyaniline Composite for Supercapacitor Applications

Graphene oxide (GO) is synthesized from commercially available graphite powder. The prepared GO is converted to reduced graphene oxide (rGO) by chemical reduction using sodium borohydride and sodium hydroxide. The rGO is characterized via X-ray diffraction, Raman spectroscopy and scanning electron microscopy. Conducting polymer–polyaniline, was prepared by oxidative polymerization in an electrolyte- hydrochloric acid and using ammonium persulphate as oxidant. The structure and doping of polyaniline were studied by Fourier-transform infrared spectroscopy and ultra-violet visible spectroscopy. To enhance the conductivity of the rGO, the conducting polymer mixed with rGO and rGO/Conducting polymer composites were prepared. The composite was characterized by cyclic voltammetry, AC impedance spectroscopy. A symmetrical supercapacitor (SC) has been fabricated based on rGO/PANI composites. The prepared composites were shown specific capacitance of 72 F g^–1 at 2 mV s^–1.     

Minimum Fluidization Velocity At High Temperatures Based on Geldart Powder Classification

The minimum fluidization velocities of sand, ilmenite, limestone and quartz magnetite were determined at temperatures ranging from 373–973 K. A best fit of the Wen and Yu type of equation was obtained for the experimental data. This correlation was extended to all experimental data obtained by various workers at high temperatures and was also compared with the existing correlations. However, a very high error percentage was obtained (> 50 %). The Geldart Powder Classification was made use of in classifying all materials used by different workers, as A, B and D, based on the material properties i.e., density and particle size. According to Geldart, C type powders are highly cohesive and hence cannot be subject to normal fluidization. Separate correlations were fitted for A, B and D type powders. Fitting separate correlations reduced the error by a considerable amount. Thus, the usage of separate correlations to predict the minimum fluidization velocity for A, B and D type powders was substantiated.     

Optimization of process parameters for the extraction of chromium (VI) by emulsion liquid membrane using response surface methodology

The emulsion liquid membrane technique was used for the extraction of hexavalent chromium ions from aqueous solution of waste sodium dichromate recovered from the pharmaceutical industry wastewater. The liquid membrane used was composed of kerosene oil as the solvent, Span-80 as the surfactant and potassium hydroxide as internal reagent. Trioctyl amine and Aliquat-336 were used as carriers. The emulsion stability was carried out at different surfactant concentration, agitation speed and emulsification time. Statistical experimental design was applied for the optimization of process parameters for the extraction of chromium by emulsion liquid membrane. The effects of process parameters namely, agitation speed, membrane to emulsion (M/E) ratio and carrier concentration on the extraction of chromium were optimized using a response surface method. The optimum conditions for the extraction of chromium (VI) using response surface methodology for Trioctyl amine were: agitation speed – 201.369 rpm, M/E ratio – 0.5887% (v/v) and carrier concentration – 4.0932% (v/v) and for Aliquat-336: agitation speed – 202.097 rpm, M/E ratio – 0.5873% (v/v) and carrier concentration – 3.9211% (v/v). At the optimized condition the maximum chromium extraction was found to be 89.2% and 96.15% using Trioctyl amine and Aliquat-336, respectively.     

Crushing and energy absorption performance of different geometrical shapes of small-scale glass/polyester composite tubes under quasi-static loading conditions

This paper presents the quasi-static crushing performance of nine different geometrical shapes of small-scale composite tubes. The idea is to understand the effect of geometry, dimension and triggering mechanism on the progressive deformation of small-scale composite tubes. Different geometrical shapes of the composite tubes have been manufactured by hand lay-up technique using uni-directional E-glass fabric (with single and double plies) and polyester resin. Dedicated quasi-static tests (144 tests) have been conducted for all nine geometrical shapes with different t/D (thickness–diameter) ratios and two triggering profiles (45° chamfering and tulip pattern with an included angle of 90°). From this unique study, it was found that the crushing characteristics and the corresponding energy absorption of the special geometrical shapes are better than the standard geometrical shapes such as square and hexagonal cross sections. Furthermore, the tulip triggering attributed to a lower peak crush load followed by a steady mean crush load compared to the 45° chamfering triggering profile which resulted into a higher energy absorption in most of the geometrical shapes of the composite tubes.     

Multifiller nanocomposites containing gadolinium oxide and bismuth nanoparticles with enhanced X-ray attenuation property

We report here the development of multifiller nanocomposite containing gadolinium oxide and bismuth nanofillers with enhanced X-ray attenuation property. The mass attenuation coefficient of the nanocomposite is found to be 5.26 (X-ray attenuation: 95%) and 2.22 cm²/g (X-ray attenuation: 71%), respectively, under dental and lung X-ray scan conditions. Fourier transform infrared spectroscopy confirms the interfacial interaction between Gd₂O₃ nanofillers and the polymer matrix through hydrogen bonding. Atomic force microscopy images of the nanocomposite show a smooth and uniform topography with an average surface roughness of ~19 nm. Thermogravimetric analysis confirms the thermal stability of the nanocomposite upto 384°C. The enhanced X-ray attenuation property of the nanocomposite is attributed to the good interfacial bonding, dual k-edge effect of nanofillers and their uniform distribution within the polymeric matrix. Therefore, this nanocomposite is a promising material for diagnostic X-ray shielding, especially as, thyroid collar, gonad shield, aprons, gloves, and so on.     

Discharge performance of Zn-air fuel cells under the influence of Carbopol 940 thickener

A dynamic research endeavor has been performed in this research study by constructing and operating an innovative flowing type anode (zinc gel) along with Carbopol 960 additives as thickener in a zinc-air fuel cell. This gel constituted of a mixture of Zn powder, thickener, and potassium hydroxide (KOH) electrolyte, and it was fueled into the cell with a peristaltic pump. The flowing Zn anode allowed the reaction-produced water, carbonate, and zinc oxide (ZnO) to be discharged from the cell. Basic operating parameters of the fuel cell like the concentrations of the Zn powder, thickener, and electrolyte along with the number and grid density of the current collector grid, cell operation temperature, and air flow rate were all optimized for effective and enhanced fuel cell performance. It was determined based on voltage production along with current and energy density generation. The augmented experimental results were as follows; thickener concentration of 1 to 2 wt% was observed to be optimum above which the electrolyte acquired a solid state. The voltage production was stable at electrolyte concentrations of 60 to 65 wt% and Zn powder concentrations lower than 40 wt%, and concentrations greater than this resulted in reduced cell performance. The implementation of four current collector grids each with an opening density of 144 grid/cm² had efficiently amplified cell performance. The ideal cell temperature was determined to be 40°C, and maximum cell production was attained at an air flow rate of 2 m/s. Consequently, effective improvement and advancement in the processes and operational parameters were achieved in this zinc-air fuel cell with a state-of-the-art anode fuel. This will surely provide great opportunities for their applications in the future.     

BERT for Conversational Question Answering Systems Using Semantic Similarity Estimation

Most of the questions from users lack the context needed to thoroughly understand the problem at hand, thus making the questions impossible to answer. Semantic Similarity Estimation is based on relating user’s questions to the context from previous Conversational Search Systems (CSS) to provide answers without requesting the user's context. It imposes constraints on the time needed to produce an answer for the user. The proposed model enables the use of contextual data associated with previous Conversational Searches (CS). While receiving a question in a new conversational search, the model determines the question that refers to more past CS. The model then infers past contextual data related to the given question and predicts an answer based on the context inferred without engaging in multi-turn interactions or requesting additional data from the user for context. This model shows the ability to use the limited information in user queries for best context inferences based on Closed-Domain-based CS and Bidirectional Encoder Representations from Transformers for textual representations.     

Experimental validation of PID based cascade control system through SCADA–PLC–OPC and internet architectures

The paper presents the experimental validation procedure of a simple cascade control system through number of architectures, such as SCADA, PLC, OPC and internet. The performance and effectiveness of individual architecture is evaluated on the basis of data rate, rise time, peak time and settling time. In this study, PID is implemented on Micrologix-1200 PLC and RSView-32 SCADA has been used with RSLinx communication software. The PLC–SCADA control loop is implemented with the functionalities such as, real time data analysis, set point modifications, automatic report generation and integration of data with MS-Excel and MS-Access. The enhancement in project data analysis is effectively done through the integration of PLC with Labview. The remote monitoring and control of process parameters is done using NET-ENI. The obtained result proved that the conventional SCADA based control system can be enhanced further more with PLC as well as NI-OPC server significantly.