Surface Integrity Assessment Upon Electric Discharge Machining of Die Steel Using Non-Destructive Magnetic Barkhausen Noise Technique

Surface integrity characterization of manufactured component is very important as it significantly affects the in-service performance of the component. Till now, surface integrity was evaluated using conventional measurement technique like microhardness tester, X-ray diffraction, optical microscopy...

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Bibliographic Details
Published in:Transactions of the Indian Institute of Metals 2020-04, Vol.73 (4), p.967-974
Main Authors: Nahak, Binayaka, Srivastava, Ashish, Khan Yusufzai, M. Z., Vashista, Meghanshu
Format: Article
Language:English
Subjects:
Barkhausen effect
Chemistry and Materials Science
Corrosion and Coatings
Die sinking
Die steels
Electric discharge machining
Integrity
Magnetic properties
Materials Science
Measurement techniques
Metallic Materials
Microhardness
Microscopy
Noise
Nondestructive testing
Optical microscopy
Original Article
Parameters
Polarity
Residual stress
Surface roughness
Tribology
X-ray diffraction
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Summary:Surface integrity characterization of manufactured component is very important as it significantly affects the in-service performance of the component. Till now, surface integrity was evaluated using conventional measurement technique like microhardness tester, X-ray diffraction, optical microscopy and surface roughness tester. But, this technique being laboratory based cannot be used for in-service monitoring of the surface integrity. The present study focuses on the characterization of surface integrity upon electric discharge machined sample using non-destructive magnetic Barkhausen noise technique. Electric discharge machining was performed in die-sinking mode on die steel using copper–tungsten electrode (negative polarity). Experiment was performed by selecting different levels of peak current, gap voltage and pulse on time. Surface integrity characteristics like microhardness change, residual stress, microstructural alteration and surface roughness were analysed using microhardness tester, X-ray diffraction, optical microscopy and surface roughness tester, respectively, and were then correlated with magnetic parameter like root mean square value and peak value obtained from Barkhausen noise signal. The results show a good correlation between magnetic parameter (RMS and Peak value) of Barkhausen noise with the microhardness and surface roughness of the machined sample.
ISSN:0972-2815
0975-1645
DOI:10.1007/s12666-020-01914-y