Institution
North Eastern Regional Institute of Science and Technology
Education•Itanagar, India•
About: North Eastern Regional Institute of Science and Technology is a education organization based out in Itanagar, India. It is known for research contribution in the topics: Population & Raman spectroscopy. The organization has 813 authors who have published 1429 publications receiving 16122 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, La2Mo2-xVxO9-δ (0 ≤ ǫ× ≤ 0.100) has been synthesized using solution combustion method.
Abstract: La2Mo2-xVxO9-δ (0 ≤ × ≤ 0.100) has been synthesized using solution combustion method. The specimens were subjected to structural and electrical characterizations. X-Ray diffraction, DSC and the conductivity vs temperature plot reveal the stabilization of cubic structure for × ≥ 0.050. At temperature 425 °C , transition from Arrhenius to VTF behaviour is observed for the compositions × ≥ 0.050. The conductivities of V-doped compounds (for × ≥ 0.050) have been found to increase in the intermediate temperature range (425–510 °C ) as compared to the parent compound. The conductivities of the parent compound in the cubic region are observed to be marginally higher than the β-stabilized vanadium substituted compounds. Among the β-stabilized compositions, x = 0.050 exhibit the highest conductivities in the intermediate temperature range as well as in the high-temperature regime.
8 citations
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TL;DR: In this paper, the authors used Pletcher's mixing length model to determine turbulent viscosity, thermal conductivity and mass diffusivity of turbulent flow mixed convective condition.
8 citations
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TL;DR: In this article, the experimental and theoretical properties of Estradiol and Tamoxifen have been studied using the basis set B3LYP/6-31-G(d,p).
8 citations
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01 Jan 2020TL;DR: In this paper, the authors focused on the conversion techniques of alternative fuels from waste plastic materials, which is a milestone of zero waste technology around the world. But, the most commonly used available methods for municipal waste in most of the countries is the dumping of waste plastic in open areas and landfills, which leads to an environmental threat.
Abstract: Plastic is one of the most useful, durable, cheap and ubiquitous materials known to human. It permeates every sphere of human life. Most of the developing countries are consuming more and more plastic goods due to modern urbanization and revenue upgrades. Plastic wastes are increasing day by day due to alternate production patterns and consumptions. Today plastic materials are produced twenty times more than fifty years ago. The most commonly used available methods for municipal waste in most of the countries is the dumping of waste plastic in open areas and landfills; which leads to an environmental threat. This study focused on the conversion techniques of alternative fuels from waste plastic materials. Conversion of plastic wastes can be regarded as a milestone of zero waste technology around the world. End use of plastic may be as a cheap source of energy. There are two approaches have been widely applied mechanical and chemical recycling. Altering of plastic wastes into energy resources approaches are pyrolysis with or without catalyst, gasification, and liquefaction. This paper also relates to another approach in conversion of plastic waste materials and by products like RDF (Refuse derived fuel) and RPF (Refused paper plastic fuel). These may be the next generation energy resources from waste plastic and municipal wastes.
8 citations
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TL;DR: In this paper, a novel integrated parametric optimization in end milling of Al-SiCp metal-matrix composites using carbide tool is presented, where Fuzzy logic modeling combined with particle swarm optimization (PSO) technique is applied as intelligent optimization methodology to obtain optimal process parameters.
Abstract: This paper deals with a novel integrated parametric optimization in end milling of Al–SiCp metal–matrix composites using carbide tool. Fuzzy logic modeling combined with particle swarm optimization (PSO) technique is applied as intelligent optimization methodology to obtain optimal process parameters in end milling process. Fuzzy rules-based surface roughness prediction model is developed with SiCp percentage as one the input parameter is addition to spindle speed, feed and depth of cut. Comparison of fuzzy rule model predictions with confirmation data sets showed 95.44% average prediction accuracy. The effect of process parameters on surface roughness is also studied. Analysis of variance established feed rate as the most significant process variable with 69.93% contribution followed by SiCp (19%) and spindle speed (9.73%), respectively. The integrated PSO optimizer optimizes the process parameters for an objective to minimize the machining time satisfying desired surface roughness to be obtained. A number of problems with different values of desired surface roughness are solved and algorithm converged in less than ten iterations.
8 citations
Authors
Showing all 824 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rajendra Singh | 52 | 402 | 10732 |
Pramod Pandey | 46 | 292 | 10218 |
S. A. Hashmi | 40 | 104 | 4453 |
Debashish Pal | 39 | 90 | 8211 |
Santosh Kumar Sarkar | 35 | 125 | 4177 |
Narendra Singh Raghuwanshi | 31 | 136 | 4298 |
Suresh Kumar | 29 | 407 | 3580 |
Mohammed Latif Khan | 27 | 92 | 2495 |
Ashish Pandey | 27 | 63 | 2311 |
A. K. Singh | 25 | 1078 | 4880 |
Pradeep Kumar | 24 | 112 | 2520 |
N. K. Goel | 23 | 46 | 2115 |
Ayyanadar Arunachalam | 23 | 73 | 1566 |
R. S. Tripathi | 22 | 31 | 1552 |
S. Ravi | 20 | 138 | 1338 |