Institution
Pandit Deendayal Petroleum University
Education•Gandhinagar, Gujarat, India•
About: Pandit Deendayal Petroleum University is a education organization based out in Gandhinagar, Gujarat, India. It is known for research contribution in the topics: Welding & Computer science. The organization has 996 authors who have published 1804 publications receiving 16594 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the effect of tool geometry on the quality of the AA-2024 T351 alloy was investigated and the results indicated that the triangular pin geometry gave out the best results for the selected alloy.
11 citations
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TL;DR: In this paper, an accumulated comprehensive review of different literary works which lay the grounds for how different Smart Earth Technologies aid in monitoring and tackling the degradation of air and water resources is presented.
Abstract: Standing at the cusp of an augmented age facilitates a glance into the future of a cybernetic world aligned with planetary wellbeing. The era of exponential technological revolutions has brought with it a plethora of opportunities expanding in a multi-faceted dimension with an added emphasis towards nurturing a mutual synergy of nature with a daily dose of digitalization. The paper is written with an intent to lay out an accumulated comprehensive review of different literary works which lay the grounds for how different Smart Earth Technologies aid in monitoring and tackling the degradation of air and water resources. If an intertwined state-of-the-art centralized research source could be created, it would become a boon for seasoned researchers and neophytes succeeding portion of the article expands itself to a wide variety of research literature complimented with real-time models, case, and empirical studies which help heighten the previous limit to the research done on these Technologies tinkering the present monitoring systems. The primary aim of this work is to fuel the need of theoretical, practical, and empirical evolution in the ways the intelligent technologies help blossom a pollution-free environment. The secondary intention was to ensure that in-depth study of Smart Environmental Pollution the Monitoring Systems provisioned a multitude of prospects for upgrading one’s knowledge on environmental management through current world technologies. By looking at these trends of the past, the enthusiast of technology could collaborate with the researchers of Environmental Pollution to assist in proliferation of diverse ‘smart’ solutions creating a Smarter, Greener, and Brighter future for research and developments in Sustainable Technologies devising a pollution-free environment.
11 citations
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TL;DR: A multi-objective optimization approach is applied using a population-based meta-heuristic algorithm called Passing Vehicle Search (PVS) for optimizing process parameters of various mathematical models formulated by different authors to obtain better optimization results.
Abstract: Electro-Discharge Machining (EDM) is very popular for machining high-strength conductive materials for aerospace and automotive application. These machining involve a range of processing parameters. In order to optimize these for the best performance, a trade-off has to be decided for the responses achieved through machining. Conventional algorithms have long been replaced by advanced optimization algorithms. Performance of meta-heuristic algorithms in relation to traditional deterministic approaches for multi-modal, non-linear engineering problems is very promising in recent days. In this paper, a multi-objective optimization approach is applied using a population-based meta-heuristic algorithm called Passing Vehicle Search (PVS) for optimizing process parameters of various mathematical models formulated by different authors. Different approaches depending on case have been adopted for formulating the multi-objective PVS algorithm and pareto front is obtained for each case to extract the desired results. The performance of multi-objective PVS is compared with different intelligent computing models employed in prior studies and better results are shown in case of former. This approach can be extended to various mathematical models besides those covered in the paper to obtain better optimization results.
11 citations
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11 citations
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TL;DR: In this article, the collective information of fullerene-based nanocomposites is analyzed and compared to CNTs and graphene, and it is shown that fullerenes offer a high degree of purity and maintain their quality even during the subsequent reproduction cycles.
Abstract: Several fabrication methods have been proposed to develop the metal matrix nanocomposites (MMNCs) reinforced by carbon nanomaterials (mostly the nanotubes, and graphene) by means of the liquid-state and the solid-state techniques. The spraying processes, the squeeze casting, the disintegrated melt deposition processes, the milling fabrication, and the friction stir processing have been used to fabricate the composite. However, the MMNCs, containing the fullerenes as reinforcement, are less known, although the properties of these objects with the predominant sp2 bonding also extend their use in the composites. Fullerenes are hollow carbon molecules in the form of a sphere (buckyballs). Buckyballs can be essentially regarded as graphite layers, i.e., graphene sheets, wrapped into a spherical shape. Considering the staggering cost and limited availability of purified single-walled carbon nanotubes (CNTs) and graphene, fullerenes with a spherical structure offer an interesting alternative to CNTs and graphene since they are available in abundance and at a much feasible cost. Furthermore, fullerenes offer a high degree of purity and maintain their quality even during the subsequent reproduction cycles. Thus currently, the fullerenes are widely investigated and have the potential for various technical applications. A significant potential application of fullerenes would be as reinforcement in metallic alloys used in structural parts. It should be noted that buckyballs, such as C60 fullerenes, may be considered as fascinating reinforcements in comparison to CNT or graphene, due to their zero-dimensional geometry. They can be easily dispersed and are scarcely damaged during severe mechanical dispersion processes carried out in metal matrix composites. Fullerene has a great impact on Tribology applications due to its lubricating behavior. The spherical morphology and strong intermolecular bonding make fullerene as a lubricant material for industrial applications. This article will showcase in-depth analysis on collective information of fullerene-based nanocomposites.
11 citations
Authors
Showing all 1040 results
Name | H-index | Papers | Citations |
---|---|---|---|
Daniel Prochowicz | 31 | 91 | 3009 |
Pankaj Yadav | 31 | 124 | 3347 |
Subhash N. Shah | 29 | 215 | 2889 |
Vivek Patel | 29 | 111 | 3174 |
Achinta Bera | 27 | 56 | 2565 |
Vimal Savsani | 26 | 82 | 5461 |
Ramgopal Uppaluri | 26 | 79 | 2127 |
Vivek Patel | 25 | 136 | 2443 |
Manoj Kumar | 25 | 141 | 1895 |
Vishvesh J. Badheka | 24 | 101 | 1649 |
Simranjeet Singh | 24 | 128 | 1891 |
Malkeshkumar Patel | 23 | 102 | 1709 |
Bhavesh R. Bhalja | 23 | 136 | 1504 |
Manan Shah | 22 | 107 | 1656 |
Indrajit Mukhopadhyay | 22 | 146 | 1892 |