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DAV Institute of Engineering and Technology

About: DAV Institute of Engineering and Technology is a based out in . It is known for research contribution in the topics: Routing protocol & Wireless network. The organization has 140 authors who have published 271 publications receiving 1867 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors present an up-to-date review of progress and benefits of different routes for fabrication and machining of composites and conclude that polycrystalline tools and diamond-coated tools are best suitable for various conventional machining operations.
Abstract: Intrinsically smart, metal matrix composites (MMCs) are lightweight and high-performance materials having ever expanding industrial applications. The structural and the functional properties of these materials can be altered as per the industrial demands. The process technologies indulged in fabrication and machining of these materials attract the researchers and industrial community. Hybrid electric discharge machining is a promising and the most reliable nonconventional machining process for MMCs. It exhibits higher competence for machining complex shapes with greater accuracy. This paper presents an up-to-date review of progress and benefits of different routes for fabrication and machining of composites. It reports certain practical analysis and research findings including various issues on fabrication and machining of MMCs. It is concluded that polycrystalline tools and diamond-coated tools are best suitable for various conventional machining operations. High speed, small depth of cut and low feed ra...

251 citations

Journal ArticleDOI
TL;DR: In this paper, the authors presented an experimental investigation on the flexural fatigue strength of self-compacting Fibre Reinforced Concrete (SCFRC) beams, and the results have been represented in the form of S-N diagrams and to predict the flexurability of SCFRC, material coefficients of the fatigue equations have been estimated.

87 citations

Journal ArticleDOI
TL;DR: In this paper, the authors analyse the greenhouse gas emissions for road transport sector in Mumbai metropolitan region (MMR) using fuel consumption and the vehicle kilometre travelled methods and establish the congestion factor to estimate the share of greenhouse gas emission from road transport sectors that can be attributed to traffic congestion.
Abstract: Traffic congestion on roads not only increases the fuel consumption but consequently leads to increase in carbon dioxide emissions, outdoor air pollution as well as increase in the exposure time of the passengers. We analyse the greenhouse gas emissions for road transport sector in Mumbai Metropolitan Region (MMR) using fuel consumption and the vehicle kilometre travelled methods. In addition, by conducting traffic survey on four major roads in MMR, the congestion factor was established to estimate the share of greenhouse gas emissions from the road transport sector that can be attributed to traffic congestion.

87 citations

Journal ArticleDOI
TL;DR: In this article, an attempt has been made to investigate the effect of cutting parameters on surface roughness, tool wear, and residual stress distribution in hard turning in manufacturing industry as an economic alternative to grinding, but the reliability of hard turning processes is often unpredictable.
Abstract: Hard turning is used in the manufacturing industry as an economic alternative to grinding, but the reliability of hard turning processes is often unpredictable. The main factors affecting the reliability of hard turning are surface integrity and tool wear. In the present study, an attempt has been made to investigate the effect of cutting parameters on surface roughness, tool wear, and residual stress distribution in hard turning. This article brings out the comprehensive analysis of the effects of cutting parameters on surface roughness, residual stress, and tool wear.

79 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used response surface methodology (RSM) for modeling to predict surface roughness and tool wear for variety of cutting conditions in finish hard turning of hardened AISI H-11 steel.
Abstract: In machining of parts, surface quality is one of the most specified customer requirements. Major indication of surface quality on machined parts is surface roughness. There are various machining parameters which have an effect on the surface roughness, but these effects have not been adequately quantified. In order for manufacturers to maximize their gains from utilizing finish hard turning, accurate predictive models for surface roughness and tool wear must be constructed. This paper utilizes response surface methodology (RSM) for modeling to predict surface roughness and tool wear for variety of cutting conditions in finish hard turning. The experimental data obtained from performed experiments in finish turning of hardened AISI H-11 steel have been utilized. Decrease in feed rate and increase in cutting speed resulted in significant increase in surface quality. However, increase in cutting speed also produced relatively higher tool wear. Also depth of cut did not significantly affect the tool wear and surface roughness.

70 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202128
202026
201935
201824
201721
201631