NISCAIR Online Periodicals Repository

Research Journals >
Indian Journal of Engineering and Materials Sciences (IJEMS) >
IJEMS Vol.18 [2011] >
IJEMS Vol.18(2) [April 2011] >

Title: Development of mathematical model for prediction of abrasive wear behaviour in agricultural grade medium carbon steel
Authors: Singh, Dushyant
Saha, K P
Mondal, D P
Keywords: Predictive model
Wear rate
Heat-treatment process
Peening intensity
Issue Date: Apr-2011
Publisher: NISCAIR-CSIR, India
Abstract: Reducing the low stress abrasive wear of materials has emerged as a major challenge for researches conducted in the field of engineering for sometime. In this direction, efforts are made for development of prediction model for abrasive wear rate of medium carbon steel like SAE-6150 based on the influencing factors for precise prediction of wear rate and selection of appropriate levels of factors. SAE-6150 steel is tested using dry sand abrasion test rig after heat-treatment (annealing, intercritically annealing and quenched and tempered) and shot peening (ranging 0.17- 0.47 A at an interval of 0.1 A). The hardness and abrasive wear resistance of as-received and annealed steel (ferrito pearlitic structure) are significantly lower in comparison to inercritically annealed (ferrito-martensitic structure) as well as quenched and tempered (tempered martensitic structure) irrespective of peening intensity. The peening intensity reduces the wear rate, if limited to a critical value of 0.17 A. The functional relationship between wear rate and the factors influencing it is found statistically significant and can be used for prediction of abrasive wear at a given level of factors.
Page(s): 125-136
CC License:  CC Attribution-Noncommercial-No Derivative Works 2.5 India
ISSN: 0975-1017 (Online); 0971-4588 (Print)
Source:IJEMS Vol.18(2) [April 2011]

Files in This Item:

File Description SizeFormat
IJEMS 18(2) 125-136.pdf172.39 kBAdobe PDFView/Open
 Current Page Visits: 1330 
Recommend this item


Online Submission of Articles |  NISCAIR Website |  National Knowledge Resources Consortium |  Contact us |  Feedback

Disclaimer: NISCAIR assumes no responsibility for the statements and opinions advanced by contributors. The editorial staff in its work of examining papers received for publication is helped, in an honorary capacity, by many distinguished engineers and scientists.

CC License Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India

Copyright © 2015 The Council of Scientific and Industrial Research, New Delhi. All rights reserved.

Powered by DSpace Copyright © 2002-2007 MIT and Hewlett-Packard | Compliant to OAI-PMH V 2.0

Home Page Total Visits: 164579 since 01-Sep-2015  Last updated on 21-Jun-2016Webmaster: