Showing posts with label peer reviewed journals. Show all posts
Showing posts with label peer reviewed journals. Show all posts

Thursday, 28 September 2017

IJSRD | Online e-journal

Call For Paper | IJSRD Journal

ISSN (Online)  : 2321-0613
Subject Category    : Engineering Science and Technology
Frequency               : Monthly, 12 issues per year
Last Date                 : 25th of Current Month
Impact Factor          : 4.396 (2016)
IC Value                  : 64.81 (2016)
Publication Charge : 750/- INR (Indian Author) | 50 USD (Foreign Author)


Submit Your Article : Click Here  |  Thousand of published article 



Saturday, 1 November 2014

IJSRD & TechFest 2014-15 (IIT-Bombay) presents TISC(Conference)

conferenceTechfest International Student Conference is an initiative to bring together the student community and professors with a common research background. TISC marks a step further in our endeavor to promote science and technology among the students by facilitating the exchange of knowledge between academia and industry.
Featured imageTechfest International Student Conference presents a unique opportunity for students to present their work in front of fellow students, senior professors from top universities, industrialists and policy-makers. It aims at giving recognition to students for their research at a relatively young age. An enriching experience to research oriented minds, TISC will give young scientists an insight into the topic, learn new ideas and build networks beneficial for the future.
The theme for the conference is Renewable Energy Systems, potentially the most important aspect of human life in forthcoming decades. TISC is being hosted by IIT Bombay, one of the premier institutes of science and technology in India known for its path-breaking research and quality education.

Friday, 15 August 2014

#IJSRD Optimization of Machining Parameters in CNC Turning Using Firefly Algorithm

#Ijsrd

Optimization of Machining Parameters in CNC Turning Using Firefly Algorithm

Abstract— now a day’s machining is done through various automated machines. One of the widely used machines is CNC. Even though the automated machines are used, the quality of the work is determined by parameters used. The cutting parameters of the CNC machine determine the productivity, surface finish, machining time and other qualities of the product. This study involves the optimization of those cutting parameters. In order to get optimized CNC parameters for a specific tool-work combination, Firefly Algorithm (FA) is used to compute the best parameters based on the experiments conducted on a CNC Turning center. The three cutting parameters are cutting speed (V), feed (f), and depth of cut (d). The practical constraints have been considered during both practical and experimental approaches.  The result reveals that FA is very well suited in solving parameters selection problems. 
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