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Cosmological Constant Dominated Transit Universe from the Early Deceleration Phase to the Current Acceleration Phase in Bianchi-V Spacetime

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Chinese Physics Letters 2012年第7期29卷 298-302页

作者： yadav Anil Kumar Department of Physics Anand Engineering CollegeKeethamAgra-282007India

We present the transition of the universe from the early decelerating phase to the current accelerating phase with viscous fluid and time-dependent cosmological constant (A) as a source of matter in Bianchi- V *** study the transit behaviour of the universe,we assume the scale factor as an increasing function of time,which generates a time-dependent deceleration parameter (DP).The study revesls that the cosmological term does not change its fundamental nature for ε =const and ε =ε(t),where ε is the coefficient of bulk *** A(t)is found to be positive and is a decreasing function of *** same behavior was observed during recent supernovae *** physical behaviour of the universe is discussed in detail.

关键词： universe behaviour Phase

Effect of heavy metals and phenol on bacterial decolourisation and COD reduction of sucrose-aspartic acid Maillard product

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Journal of Environmental Sciences 2013年第1期25卷 172-180页

作者： Sangeeta yadav Ram Chandra Department of Environmental Microbiology School for Environmental SciencesBabasaheb Bhimrao Ambedkar University (A Central University)

Melanodins are amino-carbonyl complex, predominantly present in sugarcane molasses based distillery wastewater as major source of colourant. The microbial decolourisafion of melanoidin is a challenge due to its binding property with other co-pollutants of distillery waste. Results revealed that the presence of Zn2＋（2.00-20.00 mg/L） in melanoidin solution （1200 mg/L） stimulated the bacterial growth and sucrose-aspartic acid Maillard product （SAA） decolourisation as compared to control, while Fe3＋ and Mn2＋ at the same concentration inhibited the process. However, the presence of phenol （100 mg/L） along with Zn2＋, Fe3＋ and Mn2＋ suppressed the bacterial growth, SAA decolourisation and MnP activity. The shrinkage and reduced number of bacterial cell count at higher concentration of heavy metals in presence of phenol was also observed under scanning electron microscope.

关键词： degradation manganese peroxidase melanoidin

Syntrophic co-culture of Bacillus subtilis and Klebsiella pneumonia for degradation of kraft lignin discharged from rayon grade pulp industry

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Journal of Environmental Sciences 2015年第7期27卷 229-238页

作者： Sangeeta yadav Ram Chandra Department of Environmental Microbiology School for Environmental Sciences Babasaheb Bhimrao Ambedkar University (A Central University)

In order to search the degradability of kraft lignin, the potential bacterial strains Bacillus subtilis（GU193980） and Klebsiella pneumoniae（GU193981） were isolated, screened and applied in axenic and co-culture conditions. Results revealed that mixed culture showed better decolorization efficiency（80%） and reduction of pollution parameters（COD 73% and BOD62%） than axenic culture. This indicated syntrophic growth of these two bacteria rather than any antagonistic effect. The HPLC analysis of degraded samples of kraft lignin has shown the reduction in peak area compared to control, suggesting that decrease in color intensity might be largely attributed to the degradation of lignin by isolated ***, the GC-MS analysis showed that most of the compounds detected in control were diminished after bacterial treatment. Further, the seed germination test using Phaseolus aureus has supported the detoxification of bacterial decolorized kraft lignin for environmental safety. All these observations have revealed that the developed bacterial co-culture was capable for the effective degradation and decolorization of lignin containing rayon grade pulp mill wastewater for environmental safety.

关键词： Degradation GC-MS Kraft lignin Seed germination test Syntropic

Emerging trends in self-healable nanomaterials for triboelectric nanogenerators:A comprehensive review and roadmap

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Frontiers in Energy 2023年第6期17卷 727-750页

作者： Prabhakar yadav Kuldeep SAHAY Malvika SRIVASTAVA Arpit VERMA Bal Chandra yadav Department of Electrical Engineering Institute of Engineering and TechnologyA P J Kalam Technical UniversityLucknow 226031India Nanomaterials and Sensors Research Laboratory Department of PhysicsBabasaheb Bhimrao Ambedkar UniversityLucknow 226025India

A thorough analysis of triboelectric nanogenerators (TENGs) that make use of self-healable nanomaterials is presented in this review. These TENGs have shown promise as independent energy sources that do not require an external power source to function. TENGs are developing into a viable choice for powering numerous applications as low-power electronics technology advances. Despite having less power than conventional energy sources, TENGs do not directly compete with these. TENGs, on the other hand, provide unique opportunities for future self-powered systems and might encourage advancements in energy and sensor technologies. Examining the many approaches used to improve nanogenerators by employing materials with shape memory and self-healable characteristics is the main goal of this review. The findings of this comprehensive review provide valuable information on the advancements and possibilities of TENGs, which opens the way for further research and advancement in this field. The discussion of life cycle evaluations of TENGs provides details on how well they perform in terms of the environment and identifies potential improvement areas. Additionally, the cost-effectiveness, social acceptability, and regulatory implications of self-healing TENGs are examined, as well as their economic and societal ramifications.

关键词： triboelectric nanogenerator(TENG) self-healable nanomaterials self-powered devices energy

Bianchi-V string cosmological model and late time acceleration

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Research in Astronomy and Astrophysics 2012年第11期12卷 1467-1474页

作者： Anil Kumar yadav Department of Physics Anand Engineering College

We have searched for the existence of the late time acceleration of the universe with string fluid as the source of matter in Bianchi-V space-time. To derive a deterministic solution, we choose the scale factor to be an increasing function of time that yields a time dependent deceleration parameter, representing a model which generates a universe showing a transition from an early decelerating phase to a recent accelerating phase. The study reveals that strings dominate the early universe and eventually disappear from the universe for sufficiently large times, i.e. in the present epoch. This picture is consistent with current astronomical observations. The physical behavior of the universe is discussed in detail.

关键词： early universe -- cosmological parameters

Anisotropic massive strings in the scalar-tensor theory of gravitation

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Research in Astronomy and Astrophysics 2013年第7期13卷 772-782页

作者： Anil Kumar yadav Department of Physics Anand Engineering College

We present the model of an anisotropic universe with string fluid as the source of matter within the framework of the scalar-tensor theory of gravitation. An exact solution of field equations is obtained by applying Berman＇s law of variation to Hubble＇s parameter which yields a constant value of the deceleration parameter. The nature of classical potential is examined for the model under consideration. It has also been found that the massive strings dominate in the early universe and finally disap-pear from the universe. This is in agreement with current astronomical observations. The physical and dynamical properties of the model are also discussed.

关键词： early universe -- massive strings -- scalar-tensor theory -- classicalpotential

Development and experimental investigation of duplex turning process

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Advances in Manufacturing 2017年第2期5卷 149-157页

作者： Ravindra Nath yadav Department of Mechanical Engineering BBD National Institute of Technology and Management Lucknow 226028India

The aim of the present study was to develop a novel turning process with the simultaneous application of two cutting tools in place of a single cutting tool during machining of rotating surfaces. This process is referred to as duplex turning, and is used to eliminate the need for a secondary final cut operation following the turning process. To achieve this, a secondary （auxiliary） tool post is mounted on the cross slide of the centre lathe machine after fabrication. The secondary tool post is used to hold a secondary cutting tool that penetrates the workpiece from opposite side of the primary cutting tool to perform the finish cut operation during turn machining of the cylin- drical workpiece. The performance of the developed process was tested on AISI 1040 alloy steel, using two single point cutting tools made of high speed steel. The effects of cutting velocity, feed rate, primary depth of cut and secondary depth of cut were analyzed and discussed with regard to average surface roughness, and were also compared with normal turning process. From the results, it was concluded that duplex turning process was capable of providing better surface finishes compared to those generated by normal turning. It was also found that higher cutting velocity yielded better surface finishes within the determined ranges of the selected parameters.

关键词： Cutting Design of experiment Machining Surface roughness Turning

Photochemical Transformations of Some 2-（5-Methylthiophen-2-yl）-3-[（naphthalen-2-yl）methoxy]-4H-chromen-4-ones Involving Type-II Process

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Chinese Journal of Chemistry 2011年第4期29卷 745-750页

作者： Kamboj, Ramesh C Kumar, Dinesh Sharma, geeta Arora, Rita Department of Chemistry Kurukshetra University Kurukshetra 136119 India

Photo-irradiation of 2-（5-methylthiophen-2-yl）-3-[（naphthalen-2-yl）methoxy]-4H-chromen-4-ones yielded the fascinating angular tetracyclic products via cyclization involving both 2-thienyl ring and naphthylmethoxy group via 1,4-biradical generated in the Norrish type-II process. The stereochemical dispositions of the products were determined by MM2 energy minimized programme and spectroscopic analysis.

关键词： type-II reaction radicals thienylchromone sigmatropic rearrangement substituent effects

Feedforward Neural Network for joint inversion of geophysical data to identify geothermal sweet spots in Gandhar,Gujarat,India

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Energy Geoscience 2021年第3期2卷 189-200页

作者： Apurwa yadav Kriti yadav Anirbid Sircar Silver Oak College of Engineering and Technology S.G.RoadGujaratIndia Centre of Excellence for Geothermal Energy Pandit Deendayal Petroleum UniversityRaisanGandhinagar382007GujaratIndia DG GERMI and HeadCentre of Excellence for Geothermal EnergyPandit Deendayal Petroleum UniversityRaisanGandhinagar382007GujaratIndia

Artificial Neural Networks(ANNs)are used in numerous engineering and scientific disciplines as an automated approach to resolve a number of ***,to build an artificial neural network that is prudent enough to rely on,vast quantities of relevant data have to be *** this study,we analysed the scope of artificial neural networks in geothermal reservoir *** particular,we attempted to solve joint inversion problem through Feedforward Neural Network(FNN)*** order to identify geothermal sweet spots in the subsurface,an extensive geophysical studies were conducted in Gandhar area of Gujarat,*** data were acquired along six profile lines for gravity,magnetics and *** low velocity zone was identified using refraction seismic technique in order to set a common datum level for other potential *** depth of low velocity zone in Gandhar was identified at 11 *** FNN backpropagation method was applied to gain the global minima of the data space and model space as *** input dataset fed to the inversion algorithm in the form of gravity,magnetic susceptibility and resistivity helped to predict the suitable model after network training in multiple *** joint inversion of data is conducive to understanding the subsurface geological and lithological features along with probable geothermal sweet *** results of this study show the geothermal sweet spots at depth ranging from 200 m to 300 *** results from our study can be used for targeted zones for geothermal water exploitation.

关键词： Artificial neural network(ANN) Geotherm Feedforward neural network(FNN) Geophysics Machine learning(ML)