Optimization Of Cutting Parameters For Surface Roughness In CNC Turning Using Taguchi And Regression Approach
Author(s):
Mohammad zuber khan, gourav purohit, indresh kumar jain
Keywords:
CNC; Surface roughness; Taguchi method; ANOVA.
Abstract
Prediction of surface roughness and dimensional inaccuracies is an essential prerequisite for any unmanned computer numeric controlled (CNC) machinery. This prediction technique is also important for optimization of machining process. In the present work, it is observed that, using Taguchi approach, the quality of surface finish can be predicted within a reasonable degree of accuracy by taking the triaxial cutting forces into account. Surface roughness and cutting forces are the critical factors which influence the quality of the machined parts. In this research paper, an attempt has been made to optimize the cutting conditions to get predicted surface roughness in turning of Mild Steel. The experiment was designed using Taguchi full factorial approach and 27 experimental runs were conducted for various combinations of cutting parameters. The signal to noise ratio and analysis of variance (ANOVA) were employed to study the performance characteristics at different conditions. In order to analyze the response of the system, experiments were carried out at various spindle speeds, depth of cut and feed rate. The results obtained by this research will be useful for various industries and researchers working in this field.
Article Details
Unique Paper ID: 145288

Publication Volume & Issue: Volume 4, Issue 8

Page(s): 356 - 360
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers