Characterization as a Tool for Failure Investigation: Tata Steel Experience View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2021-06-14

AUTHORS

Kaushal Kishore , Arthita Dey , Sanjay Kushwaha , Suman Mukhopadhyay , Manashi Adhikary , Anup Kumar

ABSTRACT

Failure of different industrial components can have varying impact on production, safety and morale of the employees. Tata Steel, being an integrated steel plant, has components operating in vastly different environment, temperature and magnitude and nature of stresses. This inevitably results in different modes of failures ranging from mechanical fatigue, thermo-mechanical fatigue, brittle and ductile fracture, hydrogen embrittlement and different forms of corrosion like uniform, pitting, stress corrosion cracking and galvanic corrosion. The correct determination of the mode of failure is of paramount importance in deciding right recommendation(s) to prevent the recurrences. Failure mode determination requires collection of information regarding operating parameters followed by selection of suitable characterization tools based on the type of components and the preliminary observations. In the present paper, utilization of visual observations, stereo microscope and fractography using scanning electron microscopes coupled with energy dispersive x-ray spectroscopy (EDS) is shown to determine the mode of failures. The uniqueness of each tool is demonstrated for failure analysis of different components including a rotating shaft, fork lift of a cold rolling mill and a heat exchanger of batch annealing furnace. These characterization tools have helped not only in determination of root cause of failures but also in extending the service life of critical components which are presented in this work. More... »

PAGES

249-263

Book

TITLE

Next Generation Materials and Processing Technologies

ISBN

978-981-16-0181-1
978-981-16-0182-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-981-16-0182-8_19

DOI

http://dx.doi.org/10.1007/978-981-16-0182-8_19

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1138845523


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