CSIR Central

Analysis study on surface and sub surface imperfections through magnetic particle crack detection for nonlinear dynamic model of some mining components

IR@CIMFR: CSIR-Central Institute of Mining and Fuel Research, Dhanbad

View Archive Info
 
 
Field Value
 
Title Analysis study on surface and sub surface imperfections through magnetic particle crack detection for nonlinear dynamic model of some mining components
 
Creator Singh, M.K.
 
Subject Material Testing
 
Description This paper reviews magnetic particle crack detection (MPCD) in terms of principle, advantages, disadvantages and limitations. Different mine gear components are evaluated through MPCD technique and results are analyzed in terms of their suitability by applying acceptance/rejection norms followed by the mining industry in India. MPCD is now a widely acceptable technique in the world and has simplified inspection processes, leading to significant cost reductions and quality control enhancement and confidence. It has great value in revealing surface flaws in magnetic materials such as mild and alloy steels, cast iron, etc. Not only will the technique reveal surface defects that are not visible to the naked eye, it also facilitates the detection of cracks that would, under normal circumstances, only be found by close and tedious examination of the surface. On the basis of this study, it can be concluded that MPCD evaluation must be conducted on manufactured equipment prior to use, so that failure of equipment in stipulated time could be prevented. It is also suggested that condition of vital components must be subjected to their condition monitoring at certain interval.
 
Publisher Academic Journals
 
Date 2012-05
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://cimfr.csircentral.net/1233/1/Singh_et_al.pdf
Singh, M.K. (2012) Analysis study on surface and sub surface imperfections through magnetic particle crack detection for nonlinear dynamic model of some mining components. Journal of Mechanical Engineering Research, 4 (5). pp. 185-191. ISSN 2141-2383
 
Relation http://DOI: 10.5897/JMER11.094
http://cimfr.csircentral.net/1233/