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.

6

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