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http://krishi.icar.gov.in/jspui/handle/123456789/65872
Title: | Development of Mathematical Model for Prediction of Abrasive Wear Behaviour in Agricultural Grade Medium Carbon Steel. |
Other Titles: | Not Available |
Authors: | Dushyant Singh KP Saha DP Mondal |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Central Institute of Agricultural Engineering CSIR::AMPRI |
Published/ Complete Date: | 2011-04-01 |
Project Code: | Not Available |
Keywords: | Predictive model, wear rate, heat-treatment process, peening intensity, microstructure, load |
Publisher: | NISCAIR (www.niscair.res.in) |
Citation: | Singh D, Saha KP and Mondal DP. 2011. Development of mathematical model for prediction of abrasive wear behaviour in agricultural grade medium carbon steel. Indian Journal of Engineering & Material Sciences, 18(2): 125-136. |
Series/Report no.: | Not Available; |
Abstract/Description: | 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. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Article |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Indian Journal of Engineering and Materials Sciences |
Journal Type: | Refereed Journal |
NAAS Rating: | 6.52 |
Volume No.: | 18(2) |
Page Number: | 125-136 |
Name of the Division/Regional Station: | Agricultural Mechanization Division (ICAR-CIAE) |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/65872 |
Appears in Collections: | AEng-CIAE-Publication |
Files in This Item:
File | Description | Size | Format | |
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Model Paper IJEMS 18(2) 125-136.pdf | 172.39 kB | Adobe PDF | View/Open |
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