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A study of the coated area of Alloy metal using automated SEM-EDS

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작성자 한국입자분석연구소 댓글 0건 조회 6회 작성일 25-08-04 10:31

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37c75d9232e0226999a2f730678d819a_1752819019_2153.png       37c75d9232e0226999a2f730678d819a_1752818974_9931.png    37c75d9232e0226999a2f730678d819a_1752819116_0455.png



A study of the coated area of Alloy metal using automated SEM-EDS


Yong-kyu Ko1* , James Yoon1, Ji-hyeon Son1, Steven Lee1   1Application LAB, PKoLAB.LLC

E-Mail : kyk@pkolab.com


I. Introduction

The international standard ASTM recommends about 10 micron alloy coating. As the last surface treatment process in the root industry, it is an indispensable process, and coating treatment plays an important role in overcoming the physical, chemical, and emotional limitations that a product can realize.

However, in order to observe the coating state of these mass-produced materials of various scales, research has generally been conducted with portable XRF or SEM-EDS, but in this case, only a local area of ​​the material can be observed, and portable XRF has limitations in quantitative analysis.

If only local areas are observed, it is difficult to determine the exact quality of mass-produced materials. To compensate for this limitation, an electron microscope (ThermoFisherScientific : Axia ChemiSEM) suitable for automatic large-area analysis was used, and at the same time, large-area mapping was performed to observe the coating state over a large area.


 


II. Method

1. Sample preparation & Measurement

37c75d9232e0226999a2f730678d819a_1752819519_0517.png

Figure | Honeycomb alloy samples with different processes.


2. Analysis conditions

Sample1

Sample2

Running Time

1 h 10 mins

1 h 14 mins

Total Fields

272

308

Classification Scheme

Quality Control(Ni)

Quality Control(Cr)

Features Detected (ea)

355

430

Field Area (sq. µm)

3.15E+06

3.15E+06

Total Analyzed Area (sq. µm)

7.07E+078

8.02E+08

Table | Analysis conditions.



III. Results

a) Large Area Image (Sample1)

37c75d9232e0226999a2f730678d819a_1752819924_3251.png

Figure | Overlaid Large area mapping image. (Measured area: 100mm x 3mm)


24c3ff32aa0c2712c2c2743e489af366_1754269848_197.png

Figure | Thenory diagram. (Ni-Fe-Cr).


Class

Features

% Total Features

Class Features Area (sq. μm)

% Features Area

Ni Alloy

(Success)

165

46.22

5.09E+07

44.7

Fe Alloy

(Failure)

190

53.22

6.3E+07

55.27


Table | Features distribution.


 

24c3ff32aa0c2712c2c2743e489af366_1754270311_6498.png

 

Figure | Elemental composition.


▪ It can be seen that the coated surface is classified as successful when Ni is composed of 48% or more, and only 46% of the total area is coated.


b) Large Area Image (Sample2)

24c3ff32aa0c2712c2c2743e489af366_1754270664_4854.png

Figure | Overlaid Large area mapping image. (Measured area: 100mm x 3mm)


24c3ff32aa0c2712c2c2743e489af366_1754270804_289.png

Figure | Thenory diagram. (Ni-Fe-Cr)


Class

Features

% Total Features

Class Features Area (sq. μm)

% Features Area

Cr Alloy

(Success)

115

26.74

2.92E+07

24.51

Ni-Fe Alloy

(Failure)

315

73.26

8.98E+07

75.49


Table | Features distribution.


24c3ff32aa0c2712c2c2743e489af366_1754270861_831.png

Figure | Elemental composition.


▪It can be seen that the coated surface is classified as successful when Cr is composed of 46% or more, and only 26% of the total area is coated.

 

IV. Conclusions

▪ In this study, an efficient analysis method is introduced by presenting a new observation method for quality inspection after mass production through the developed analysis method. Evaluating and managing systematically is a long-standing task for coating companies.

▪ By measuring the surfaces of different alloys by automated large-area mapping, the distribution of components in the coating state and the degree of coating can be quantified. In this way, the cause of the defect can be identified.