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Institution

Motilal Nehru National Institute of Technology Allahabad

EducationAllahabad, Uttar Pradesh, India
About: Motilal Nehru National Institute of Technology Allahabad is a education organization based out in Allahabad, Uttar Pradesh, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 2475 authors who have published 5067 publications receiving 61891 citations. The organization is also known as: NIT Allahabad & Motilal Nehru Regional Engineering College.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the effect of input process parameters of EDFG, such as discharge current, pulse on-time and off-time, and wheel speed on MRR and ASR during machining of high carbon steel and high speed steel workpieces was presented.
Abstract: Electrodischarge face grinding (EDFG) process has been developed for machining of flat surfaces of materials that are difficult to machine by creating spark between face of disc shape rotating tool electrode and workpiece.The rotation of non-abrasive disc shape tool electrode about vertical axis (a new feature of face grinding) improves material removal rate (MRR) and average surface roughness (ASR) because of effective flushing of working gap. This paper presents the effect of input process parameters of EDFG, such as discharge current, pulse on-time and off-time, and wheel speed on MRR and ASR during machining of high carbon steel and high speed steel workpieces. An attempt has also been made to compare the results with those of stationary electrodes.

29 citations

Journal ArticleDOI
TL;DR: This work introduces a fast converging neural network-based approach for solution of ordinary and partial differential equations that uses the extreme learning machine algorithm for calculating the neural network parameters so as to make it satisfy the differential equation and associated boundary conditions.
Abstract: Current work introduces a fast converging neural network-based approach for solution of ordinary and partial differential equations. Proposed technique eliminates the need of time-consuming optimization procedure for training of neural network. Rather, it uses the extreme learning machine algorithm for calculating the neural network parameters so as to make it satisfy the differential equation and associated boundary conditions. Various ordinary and partial differential equations are treated using this technique, and accuracy and convergence aspects of the procedure are discussed.

29 citations

Journal ArticleDOI
TL;DR: In this paper, a molecular dynamics analysis of carbon fiber-amine functionalized multi-wall carbon nanotube (MWCNT)/epoxy composites is presented to parametrically describe the mechanical behavior of three-component composites.

29 citations

Journal ArticleDOI
TL;DR: In this article, various aspects of pyrolysis of rice straw (RS) from rice bowl of India including thermal degradation, kinetics, reaction mechanism, and thermodynamic parameters have been deliberated based on thermogravimetric experiments conducted at different heating rates, such as, 5, 10, 15, and 20°C/min in N2 environment.

29 citations

Journal ArticleDOI
TL;DR: In this paper, a facile synthesis of colloidal cuprous oxide (Cu 2 O) nanoparticles via co-precipitation route was reported via X-ray diffraction and transmission electron microscopy techniques, respectively.

28 citations


Authors

Showing all 2547 results

NameH-indexPapersCitations
Santosh Kumar80119629391
Anoop Misra7038517301
Naresh Kumar66110620786
Munindar P. Singh6258020279
Arvind Agarwal5832512365
Mahendra Kumar542169170
Jay Singh513018655
Lalit Kumar4738111014
O.N. Srivastava4754810308
Avinash C. Pandey453017576
Sunil Gupta435188827
Rakesh Mishra415457385
Durgesh Kumar Tripathi371335937
Vandana Singh351904347
Prashant K. Sharma341743662
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202342
202284
2021728
2020587
2019532
2018423