scispace - formally typeset
Search or ask a question
Institution

Delhi Technological University

EducationNew Delhi, India
About: Delhi Technological University is a education organization based out in New Delhi, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 4427 authors who have published 6761 publications receiving 71035 citations. The organization is also known as: Delhi College of Engineering & DTU.


Papers
More filters
Journal ArticleDOI
TL;DR: In this article, the consequences of FSP on different alloys like Mg-4Y-3Nd(WE43), MgZrSiO4-N2O3, Al-Si hypoeutectic A356 alloy, 5210 steel (WC-12% CO coated).

31 citations

Journal ArticleDOI
01 Mar 2021-Genomics
TL;DR: A comprehensive overview of the steps in a typical SCT workflow, starting from experimental protocol to data analysis, is provided in this article, where the authors discuss recent trends, challenges, machine learning methods for data analysis and future prospects.

31 citations

Journal ArticleDOI
TL;DR: In this paper, an efficient, stable, earth-abundant metal-based NiFe2O4/rGO hybrid OER electrocatalysts by a simple solvothermal method was precisely synthesized.

31 citations

Journal ArticleDOI
TL;DR: A novel deep affect-based movie trailer classification framework is proposed and the proposed algorithm outperforms all the state-of-the-art methods significantly, as reported by the precision, recall, F1 score, precision–recall curves (PRC), and area under the PRC evaluation metrics.

31 citations

Journal ArticleDOI
TL;DR: In this paper, the electrochemical-aided abrasive flow machining (ECA2FM) process has been proposed for the fine finishing of internal holes or prismatic recesses, and higher abrasion of the material was observed in this process due to the synergetic effect of ECM and AFM processes.
Abstract: Abrasive flow machining is a fine finishing process, mainly for the finishing of complex internal/external surfaces of metallic parts. Like most of the finishing processes, this process is also a slow process due to low material removal rate. Hybridization of abrasive flow machining process (AFM) with other non-conventional machining (NCM) processes is being explored in the recent times, so as to overcome the main limitation of low material removal in the AFM process and to satisfy the stringent finish/functional requirements. The present study is about the development of a novel hybrid of electrochemical machining (ECM) and abrasive flow machining (AFM), for the fine finishing of internal holes or prismatic recesses. The new process has been termed as electrochemical-aided abrasive flow machining (ECA2FM) process, and higher abrasion of the material was observed in this process due to the synergetic effect of ECM and AFM processes. Further in the present investigation, the various process parameters have been optimized for the response characteristic of material removal, based on Taguchi method and using standard L27 orthogonal array (OA) for the plan of experimentation. Overall, the ECA2FM process has a very promising future in the industries in terms of its ability to finish fast even if the component is thin/delicate and made of hard alloys.

31 citations


Authors

Showing all 4530 results

NameH-indexPapersCitations
Shaji Kumar111126553237
Lars A. Buchhave10540846100
Anil Kumar99212464825
Bansi D. Malhotra7537519419
C. P. Singh6833717448
Ramesh Chandra6662016293
Rajiv S. Mishra6459122210
William W. Craig5831614311
S.G. Deshmukh5618311566
Jay Singh513018655
Neeraj Kumar502077670
Erling Halfdan Stenby502858500
Devendra Singh4931410386
Federico Calle-Vallejo4611311239
Rajesh Singh4669210339
Network Information
Related Institutions (5)
National Institute of Technology, Rourkela
10.7K papers, 150.1K citations

87% related

Indian Institute of Technology Delhi
26.9K papers, 503.8K citations

87% related

Indian Institute of Technology Roorkee
21.4K papers, 419.9K citations

86% related

Jamia Millia Islamia
9.8K papers, 166.8K citations

86% related

Birla Institute of Technology and Science
13.9K papers, 170K citations

86% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202357
2022235
20211,519
20201,070
2019659
2018599