IJRTI
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)

Call For Paper

For 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 : 105

Article Submitted : 11816

Article Published : 5929

Total Authors : 15602

Total Reviewer : 587

Total Countries : 107

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Process Parameter Optimization of Co2 Moulding Sand Using Response Surface Methodology
Authors Name: Umesh sajan patil , Prof. K.H. Inamdar
Download E-Certificate: Download
Author Reg. ID:
IJRTI_180267
Published Paper Id: IJRTI1806024
Published In: Volume 3 Issue 6, June-2018
DOI:
Abstract: In this paper, attempts are made to optimize process parameters in CO2 Moulding sand of co2 casting process using response surface methodology. Three independent process parameters AFS number of moulding sand, percentage of sodium silicate and percentage of dextrin powder are selected to assess the co2 moulding process process performance in terms of sand permeability number and dry compression strength (kg/cm2).To plan and analyse the experiments, Response Surface Methodology (RSM) employing rotatable central composite design (CCD) is used. The relation between input process parameters and response variables is studied with the help of contour plots obtained by the use of RSM. For each response, Analysis of Variance (ANOVA) is done to study the influence of each process parameter. ANOVA is carried out within 95% of confidence level (p-value ≤ 0.05). It is found out that AFS Number and percentage of sodium silicate are significant parameters for dry compression strength. It is also observed that the linear terms, AFS number and percentage of sodium silicate along with quadratic term percentage of sodium silicate × percentage of sodium silicate are significant to permeability.
Keywords: Co2 moulding, dry compression strength, permeability.
Cite Article: "Process Parameter Optimization of Co2 Moulding Sand Using Response Surface Methodology ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 6, page no.128 - 132, June-2018, Available :http://www.ijrti.org/papers/IJRTI1806024.pdf
Downloads: 000204740
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: IJRTI1806024
Registration ID:180267
Published In: Volume 3 Issue 6, June-2018
DOI (Digital Object Identifier):
Page No: 128 - 132
Country: sangli, Maharashtra, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1806024
Published Paper PDF: https://www.ijrti.org/papers/IJRTI1806024
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

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

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner