 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: May 2025
Volume 10 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 108
Article Submitted : 15187
Article Published : 6774
Total Authors : 18167
Total Reviewer : 663
Total Countries : 121
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | comparative analysis and optimization of process parameters in machining operation using central composite design and box behnken design over steel 1018 |
| Authors Name: | Abhinay Kumar , Dr Ajay Kumar Sarathe |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_170581
|
| Published Paper Id: | IJRTI1711011 |
| Published In: | Volume 2 Issue 11, November-2017 |
| DOI: | |
| Abstract: | Surface roughness is a parameter which determines the quality of machined product. Now a days the general manufacturing problem can be described as the attainment of a predefined product quality with given equipment, cost and time constraints. So in recent years, a lot of extensive research work has been carried out for achieving predefined surface quality of machined product to eliminate wastage of over machining. Response surface methodology is used for prediction of surface roughness of machined part. This paper particularly shows the main findings of an experimental investigation into the effects of the cutting speed, feed rate, depth of cut, nose radius and cutting environment in turning. Design of experiment techniques, i.e. Response Surface Methodology (RSM) is going to be used to accomplish the objective of the experimental study. In this research work a new predictive model is proposed which is based on Central composite design and box behnken design. These both the techniques use statistical analysis and quadratic model for optimization of parameters in turning operation. Quadratic model gives best fits for the regression to find the optimal solution of equation and the proposed quadratic equation for predictive model |
| Keywords: | Response Surface Methodology (RSM), DOE, CCD, BBD, ANOVA |
| Cite Article: | "comparative analysis and optimization of process parameters in machining operation using central composite design and box behnken design over steel 1018", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 11, page no.58 - 68, November-2017, Available :http://www.ijrti.org/papers/IJRTI1711011.pdf |
| Downloads: | 000204845 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI1711011
Registration ID:170581
Published In: Volume 2 Issue 11, November-2017
DOI (Digital Object Identifier):
Page No: 58 - 68 Country: bhopal, madhya pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1711011 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1711011 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||