Mechanical and Adhesive Properties of Plasma CVD Coatings on Various Substrates Using Scratch Test

2006 ◽  
Vol 116-117 ◽  
pp. 304-307 ◽  
Author(s):  
Dae Cheol Ko ◽  
Jung Min Lee ◽  
Byung Min Kim
Keyword(s):  
Acoustic Emission ◽  
Acoustic Emission Signal ◽  
Normal Force ◽  
Chemical Vapor ◽  
Scratch Test ◽  
Hard Coatings ◽  
Plasma Cvd ◽  
Plasma Chemical ◽  
Adhesive Properties ◽  
Emission Signal

In this paper, the adhesive properties of hard coatings(TiN, TiCN) made by plasma chemical vapor depositions on non-nitrided and nitrided substrates was estimated using the scratch test, where adhesion was measured by the critical load (Lc). This value was determined as the normal force affecting the indenter and causing the coating detachment as well as the acoustic emission signal containing the information on the extent of coating damage. Results of the test showed that harder substrates and coatings give higher values of critical loads.

Evaluation of Adhesive Properties of Arc PVD Coatings on Non-Nitrided and Nitrided Various Substrates

2007 ◽  
Vol 340-341 ◽  
pp. 77-82
Author(s):  
Jung Min Lee ◽  
Dae Cheol Ko ◽  
Byung Min Kim
Keyword(s):  
Failure Modes ◽  
Normal Force ◽  
Nitrided Layer ◽  
Scratch Test ◽  
Optical Microscope ◽  
Hard Coatings ◽  
Adhesive Properties ◽  
Emission Signal ◽  
Study Results ◽  
Aisi D2

This paper was designed to assess the adhesive properties of hard coatings made by physical vapor depositions on various substrates (AISI D2, AISI H-13 and M2) with and without an intermediate nitrided layer. An estimation of adhesion was carried out using the scratch test, where adhesion is measured by the critical load (Lc). This value was determined as the normal force affecting the indenter and causing the coating detachment as well as the acoustic emission signal containing the information on the extent of coating damage. The scratch track after the scratch test was also examined with an optical microscope to observe the failure modes of each coating. Hard coatings TiN, CrN and TiAlN were chosen for this study. Results of the test showed that harder substrates and coatings give higher values of critical loads.

Research of the cold resistance of metals by indentation with registration of an acoustic emission signal

2020 ◽  
pp. 61-64
Author(s):  
Yu.G. Kabaldin ◽  
A.A. Khlybov ◽  
M.S. Anosov ◽  
D.A. Shatagin
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Acoustic Emission ◽  
Acoustic Emission Signal ◽  
Low Temperatures ◽  
Cold Resistance ◽  
Emission Signal ◽  
Impact Bending ◽  
Artificial Neural

The study of metals in impact bending and indentation is considered. A bench is developed for assessing the character of failure on the example of 45 steel at low temperatures using the classification of acoustic emission signal pulses and a trained artificial neural network. The results of fractographic studies of samples on impact bending correlate well with the results of pulse recognition in the acoustic emission signal. Keywords acoustic emission, classification, artificial neural network, low temperature, character of failure, hardness. [email protected]

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