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CALL FOR PAPER : Volume 2 | Issue 3 : May 2016

Journal 4 Research | J4R | VOLUME - 1, ISSUE - 11

Journal 4 Research | J4R | VOLUME - 1, ISSUE - 11 

DETERMINING THE INFLUENCE OF CUTTING FLUID ON SURFACE ROUGHNESS DURING MACHINING OF EN24 AND EN8 STEEL BY USING CNC MILLING MACHINE

Author(s):

1. N.Gopikrishna, SR Engineering College; M.Shiva Chander, SR Engineering College
2. M.Srikiran, Jayamukhi Institute of Technology & Sciences

Keywords:

Cutting Fluid, Machining Parameters, Tool, Work Specimen, Surface Roughness

Abstract:

Evaluation of the performance of cutting fluid in machining different work materials in order to improve the efficiency of any machining process. The efficiency can be evaluated based on certain process parameters such as flank wear, surface roughness on the work piece, cutting force developed, temperature developed at the tool-chip interface, etc. The main aim of the project is to determine the influence of cutting fluids in metal working. Servo 68 is mainly used for investigation based on surface roughness during milling of EN24 and EN8 steel with carbide tool. Three square pieces of EN 24 material and three round pieces of EN8 material are taken for machining. Different cutting parameters are considered for feed rate, speed and depth of cut. the six pieces are machined with different parameters and surface roughness values are investigated experimentally.

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Other Details:

Manuscript Id :         J4RV1I11001

Published in :         Volume : 1, Issue : 11

Publication Date : 01/02/2016

Page(s)       :                 1-4

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Task Scheduling using Amalgamation of Metaheuristics Swarm Optimization Algorithm and Cuckoo Search in Cloud Computing Environment

TASK SCHEDULING USING AMALGAMATION OF MET HEURISTICS SWARM OPTIMIZATION ALGORITHM AND CUCKOO SEARCH IN CLOUD COMPUTING ENVIRONMENT

Author(s):P.Durgadevi , R.M.K College of Engineering and Technology; Dr.S.Srinivasan, R.M.D Engineering College 

Keywords:Virtualization, Quality of service, Task scheduling, Swarm Optimisation , Metaheuristics 

Abstract:Cloud Computing is the latest networking technology and also popular archetype for hosting the application and delivering of services over the network. The foremost technology of the cloud computing is virtualization which enables of building the applications, dynamically sharing of resources and providing diverse services to the cloud users. With virtualization, a service provider can guarantee Quality of Service to the user at the same time as achieving higher server consumption and energy competence. One of the most important challenges in the cloud computing environment is the VM placemnt and task scheduling problem. This paper focus on Metaheuristic Swarm Optimisation Algorithms(MSOA) deals with the problem of VM placement and Task scheduling in cloud environment. The MSOA is a simple parallel algorithm that can be applied in different ways to resolve the task scheduling problems. The proposed algorithm is considered an amalgamation of the SO algorithm and the Cuckoo search (CS) algorithm; called MSOACS. The proposed algorithm is evaluated using Cloudsim Simulator. The results proves the reduction of the makespan and increase the utilization ratio of the proposed MSOACS algorithm compared with SOA algorithms and Randomised Allocation Allocation (RA).

Introduction:

Clusters [1] are distributed systems under the supervision of single administrative domain. Grid [1] is a geographically dispersed collection of distributed systems. Cloud is a collection of parallel and distributed system where the nodes are virtualized whereby a single physical server can run multiple virtual servers, thus reducing the resources as well as the cost.

A cloud can be public, private or hybrid [2]. Private clouds are setup by enterprises for their internal use only. Public clouds are setup for public use by the enterprises. The users of a public cloud must agree to the Service Level Agreement (SLA) specified by the cloud provider. Hybrid cloud is a combination of private and public cloud. OpenStack is one the most popular software used to setup a cloud, others being Eucalyptus, OpenNebula, etc.

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Call for Papers: J4R (Journal for Research)

Call for Papers: J4R (Journal for Research)

ISSN (online): 2395 - 7549

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Welcome to J4R

Journal For Research (J4R) is an Online Open Access Peer Reviewed Indexed Journal. It is an internationally refereed journal dedicated to publishing the latest advancements in engineering research. The goal of this journal is to record the latest findings and promote further research in these areas. Scholars from all relevant academic fields are invited to submit high-quality manuscripts that describe the latest, state-of-the-art research results or innovations. It aims to promote the integration of Computer Science and Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering and Civil Engineering. Comprehensive, fast and efficient research cycles allow scholars to make progress in their careers more effectively thanks to immediate access to new research materials, findings and the latest scientific developments. The papers for publication in Journal For Research (J4R) are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability. 

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