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国防军工技术基础科研项目论证报告


According to the validation data, the results of testing
the same samples (traceable to SRM 2806) appear to
be bad repeatability, seem no regular trend (or the
Test results
5 APCs’converted sizes:
Manufacturer KLOTZ HIAC/ROYCO PAMAS LOGAN TIANHE Repeatability Model PCC-1.0 8000A SBSS-C KT-2 YKJ-T 2 3.92 3.77 3.79 3.85 4.40 0.3 5 8.02 7.30 6.81 7.7 7.19 0.5 10 12.74 11.27 12.50 12.1 11.74 0.6 15 19.30 16.25 18.48 17.76 17.23 1.2 25 28.44 25.69 27.90 26.74 27.46 1.1
Equipment
Manufacturer KLOTZ, Germany HIAC/ROYCO, USA PAMAS, Germany Logan, China Tianhe, China
8000A
KT-2
YKJ-T SBSS-C PCC-1.0
Procedure

Calibration of particle counters using Duke PSL per
Material
Particle Size Distribution
0.1 1 10 Particle Size ( μ m) 1 mode 2.0um latex, 1998年10月16日 14:47:04
90 80 70 60 50 40 30 20 10 0 0.01
Volume (%)
100

To use the water-based PSL to calibrate the particle counters
operating in hydraulic field, that’s a good idea, we also try to do the same thing.

The PSL is often used to calibrate the particle counters operating
in water test field. There is no contamination level coding
standards, as ISO 4406, ovehere try to check the repeatability of the
2
5 10 15 25 50
4202A
4205A 4210A 4215A 4225A 4250A
164767
168106 166312 171558 171559 168769
2.020±0.015
5.021±0.041 10.12±0.06 14.97±0.10 24.61±0.22 49.5±0.8
The calibration of APC at the range of >25 μm(c) keep
μm(c) seems to be better than the PSL calibration.

using the PSL specified in ISO 11171, it is still true, change nothing.
CFPC
Aviation Industry (Xinxiang) Metrology and Test Science Technology Co., Ltd.
Calibration of APC Using Latex Sphere
14th Oct. 2016
By CFPC
Consideration
calibration for 5 particle counters made by different companies
using the PSL with the “Half count method”. Then the 5 particle
counters will operate to test the same calibration samples. The repeatability of calibration will be demonstrated by the test results.
2019.2
2019.4 2019.2 2019.7 2019.7 2019.4
5 different particle counters:
Model PCC-1.0 8000A SBSS-C KT-2 YKJ-T No. PZG10131 1001246003 320-802 20110600076 1200004 Form Desk top Desk top Desk top Desk top Desk top
A——PCC-1.0 B——8000A C——SBSS-C D——KT-2 E——YKJ-T
Test results
Test the same samples by 5 APCs:
Manufacturer KLOTZ HIAC/ROYCO PAMAS LOGAN TIANHE Model 8000A KT-2 YKJ-T 2 5 10 15 589.5 1063.8 689.5 792.0 875.7 22.6 25 110.2 176.8 120.2 146.8 129.8 19.1 50 5.8 11.0 5.2 6.8 6.5 32.5 PCC-1.0 65124.3 10478.0 2332.8 72645.4 14166.2 3495.0 68728.0 12110.8 2746.4 51586.2 14743.2 3054.2 13.0 18.9 16.5 SBSS-C 71884.3 17303.3 2485.8

Same batch of Calibration samples for test. Same operator during the test of Calibration
samples.
Test results
By APC of PCC-1.0 :
Size(μm) Threshold(mV) 2 339 64820 65171 Test results 65381 5 2100 10253 10529 10548 10 3929 2154 2351 2315 15 4774 499 583 604 25 5475 105 112 104 50 6669 8 10 4
65124.3 3.92 1.96
Test results
The difference between PSL size and SRM 2806 size (Con):
Note:The “SRM 2806 sizes” are converted by interpolation as the
standard particle counts from SRM 2806 certification.
65152
65038 65184
10460
10423 10655 10478.0 8.02 1.60
2416
2339 2422 2332.8 12.74 1.27
615
621 615 589.5 19.30 1.29
128
119 93 110.2 28.44 1.14
5
3 5 5.8 / /
Mean Converted size (μm(c)) Factor ratio
Oil-based MTD particle standard material made by CFPC
Requirements

Same batch of Mono Duke PSL. Same operator during the whole calibration by
“Half count method”.
0.021
0.05 0.09 0.13 0.27 0.7
1.0%CV
1.0% CV 0.9% CV 0.9% CV 1.1% CV 1.4% CV
DUKE STANDARDSTM
DUKE STANDARDSTM DUKE STANDARDSTM DUKE STANDARDSTM DUKE STANDARDSTM DUKE STANDARDSTM
1000
Mono PSL of Duke
Distribution of the PSL
The ralated parameters of Duke PSL
Size μm Cat No: Lot No: Mean Diam μm Size Distrib μm Std Dev Manufacturer Exp
A——Test results of sample A from RR B——Test results of sample B from RR C——Test results of PSL
Conclusion

The repeatability of SRM 2806 calibration at <25
Half count method.

To use the calibrated particle counters by PSL to test
the calibration samples (traceable to SRM 2806).

To deal with the test data, compare with the RR data.
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