Template For Preparing TANSCST Proposal
September 3, 2022 | Author: Anonymous | Category: N/A
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PROPOSAL FOR THE GRANT GRANT of STUDENT PROJECT SCHEME (TNSCST)
on PROJECT TITLE”
“
Submitted to TAMILNADU STATE COUNCIL FOR SCIENCE AND TECHNOLOGY
DOTE CAMPUS, CHENNAI – 600 600 025.
Submitted by Name (Roll No)
Department of Automobile Engineering
SNS COLLEGE OF TECHNOLOGY (An Autonomous Institution) Approved by AICTE New Delhi & Affiliated to Anna University Chennai
Accredited by NAAC with ‘A’ Grade, Recognised by UGC
SNS Kalvi Nagar, Sathy Main Road (NH - 209), Vazhiyampalayam, Saravanampatti Saravanampa tti post, Coimbatore - 641 035, Tamilnadu, India 1
PROPOSAL FOR THE GRANT GRANT of STUDENT PROJECT SCHEME (TNSCST)
on “PROJECT
TITLE”
CONTENTS S.NO
DESCRIPTION ( Enclosures)
1.
APPLICATION FOR SCIENCE & TECHNOLOGY PROJECTS
2.
NAAC Accreditation Accreditation Certific Certificate ate
3
AICTE Approval Certificate
4.
UGC Recogniti Recognition on Certificate -2 (f)
5.
UGC Recogniti Recognition on Certificate -2 (b)
PAGE NO.
2
STUDENT PROJECT PROPOSAL 1. Name of the Student (s) one valid e-mail id 2. Name of the Guide Department / Designation Institutional Address Phone No. & Mobile No. 3. Project Title 4. Sector in which your Project proposal is to be Considered 5. Has a similar project been carried out in your college / elsewhere? If so furnish details of the previous project and highlight the improvements suggested in the present one
:Nil
CERTIFICATE CERTIFICATE This is to certify that Mr. M.Nijammaideen, Mr. G.Nitish Krishna, Mr.S.Prabhakaran, Mr.B.Pradeep Singhare a bonafide final year students of U.G. Engineering of our college and it is also certified that two copies of utilization certificate and final report along with seminar sem inar paper will be sent to the Council C ouncil after completion of the project by the end of April 2018.
Signature of the Guide
Signature of the HOD
Signature of the Principal/ Head of the Institution
3
PROJECT TITLE
1.1. INTRODUCTION
The environmental obligations on manufacturing industry have resulted in development of new methodologies regarding use of lubricants during machining. There has been a continuous effort to shift from flooded lubrication to minimum quantity lubrication. At the same time, the benefits in tribological properties of textured surfaces have also been noticed. no ticed. An immense work regarding textured surfaces has resulted in an improvement in service lives of components by altering their surface topography. Recently, surface texturing has also been used in cutting tools. The surface textured tool in form of micro dimples or linear grooves either on rake or flank face has been found to decrease cutting forces, coefficient of friction and cutting temperature. The use of solid lubricant filled into textured groove is found to provide lubrication on tool rake face. Thus, an improvement in machining output parameters p arameters have resulted in an increase of tool life. 1.2. OBJECTIVE
The main objective of the work is to develop a mathematical model to predict the surface roughness in terms of process parameters such as radial rake angle, relief angle, and nose radius of cutting tool insert, cutting speed, cutting feed, and axial depth of cut. The mathematical model helps us to study the direct and interactive effect of each of these process parameters. By formulating a mathematical model, it becomes b ecomes feasible to evaluate the effects of process parameters, selection of process parameters based on main and interaction effects of the process parameters. The model for predicting surface roughness has been evolved by most researchers based on machining parameters and with cutting fluid. But a holistic real model model can be developed only by considering both geometrical and machining parameters without cutting fluid under dry condition. The present study focuses on the influence of the radial rake angle, relief angle, nose radius, cutting feed rate and axial depth of cut during machining on surface roughness without the influence of cutting fluid.
1.3. METHODOLOGY
4
Start
Problem Identification
Literature survey
Tool geometry
RSM-Experimental design Developing a mathematical model
Measurement of surface roughness by using surf test
Result and discussion
Optimization for cleaner production by generic algorithm
Conclusion
Stop
1.4. WORKPLAN
Project proceeding from September 1, 2017 to March 23, 2018 S.No
Timeline
Process
1.
Sept 1st - 30th, 2017
Literature survey
2.
Oct1st – – 20 20th, 2017
Tool geometry Investigation
3.
Nov 21st – – Dec Dec 31st, 2017
RSM- Experimental design
4.
Jan 5th – Feb Feb 5th, 2018
Developing a Mathematical Model
5.
Feb 6th-Feb 20th ,2018
Measurement of surface roughness by using surf test
6.
Feb 21th-Feb 25th,2018
Result and discussion
7.
Feb 26th -Mar 20th ,2018
Optimization for cleaner production by generic algorithm
8.
Mar 21st – Mar Mar 23rd ,2018
Conclusion
5
1.5. BUDGET S.No
Description
Justification
Estimated cost
1.
Cutting tool insert with different
To investigate tool
4500
configuration (like Rake angle,
geometry properties under
Nose radius, Relief angle)
dry condition
2.
Material required
AISI 316 Stainless steel
3500
3.
Tool holder
To hold the carbide insert
3000
4.
Surface roughness measurement
To find the optimum
2500
surface roughness by using RSM 5.
Travel
Transport for material
2000
purchasing & testing
1.6. Conclusion
Cleaner production is a trending technique in current scenario of industries after the implementation of practices like 5S, Kaizen, Six Sigma etc. Cleaner production and dry machining (without cutting fluid) will help in optimize the machining parameters in AISI 316 stainless steel. Also it machining under optimum condition will produce a good product with a good surface finish.
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