WhatsApp at (+91-9098855509) Support
ijprems Logo
  • Home
  • About Us
    • Editor Vision
    • Editorial Board
    • Privacy Policy
    • Terms & Conditions
    • Publication Ethics
    • Peer Review Process
  • For Authors
    • Publication Process(up)
    • Submit Paper Online
    • Pay Publication Fee
    • Track Paper
    • Copyright Form
    • Paper Format
    • Topics
  • Fees
  • Indexing
  • Conference
  • Contact
  • Archieves
    • Current Issue
    • Past Issue
  • More
    • FAQs
    • Join As Reviewer
  • Submit Paper

Recent Papers

Dedicated to advancing knowledge through rigorous research and scholarly publication

  1. Home
  2. Recent Papers

OPTIMIZATION OF SURFACE ROUGHNESS IN CNC TURNING OF EN36 ALLOY STEEL USING RESPONSE SURFACE METHODOLOGY AND TAGUCHI METHOD

Aveenash Verma1 Verma1

Download Paper

Paper Contents

Abstract

The turning process is used in many industries ranging from large engine manufactures to small die shops. The turning process using CNC lathe is widely used because of its versatility and efficiency. Surface roughness is an important factor that affects the quality in manufacturing process. The main objective of this paper is to analysis the surface roughness in CNC turning operation by various parameters such as feed rate, cutting speed, depth of cut. Response surface methodology has been used to study the effect of the main turning parameters on the surface roughness of EN 36 alloys steel. Main contribution of the study is to the minimum surface roughness and to find out optimum turning condition using an integration of RSM and Taguchi. RSM and Taguchi approach provide a systematic and effective methodology for the modeling and the optimization. The RSM based surface roughness model in terms of cutting speed, feed rate will develop by means of the experimental database as per Box-Behnken design of experiments. The RSM based surface roughness model can be optimized using a Taguchi method in order to find the optimum values of independent variables.

Copyright

Copyright © 2024 Aveenash Verma1. This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS40100001239
ISSN: 2321-9653
Publisher: ijprems
Page Navigation
  • Abstract
  • Copyright
About IJPREMS

The International Journal of Progressive Research in Engineering, Management and Science is a peer-reviewed, open access journal that publishes original research articles in engineering, management, and applied sciences.

Quick Links
  • Home
  • About Our Journal
  • Editorial Board
  • Publication Ethics
Contact Us
  • IJPREMS - International Journal of Progressive Research in Engineering Management and Science, motinagar, ujjain, Madhya Pradesh., india
  • Chat with us on WhatsApp: +91 909-885-5509
  • Email us: editor@ijprems.com
  • Mon-Fri: 9:00 AM - 5:00 PM

© 2025 International Journal of Progressive Research in Engineering, Management and Science.Designed and Developed by EVG Software Solutions All Rights Reserved.

Terms & Conditions | Privacy Policy | Publication Ethics | Peer Review Process | Contact Us