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E-mail
shrisechina@163.com
- Phone
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Address
2402 Jinxiao Building, No.1 Lane 36, Biquan Road, Minhang District, Shanghai
Shanghai Ranchao Optoelectronics Technology Co., Ltd
shrisechina@163.com
2402 Jinxiao Building, No.1 Lane 36, Biquan Road, Minhang District, Shanghai
American Speyer Super Intelligent Ferrograph
Spey's ultra intelligent ferrograph LNF-Q220 from the United StatesIt can simultaneously complete the measurement of oil contamination (directly calculating ISO and NAS cleanliness levels), analysis of abrasive particle types, viscosity measurement, and determination of free water and residual carbon content. At the same time, the control software of the American Spay ultra intelligent ferrograph includes equipment asset management and trend analysis modules, effectively realizing active monitoring of equipment wear status and oil pollution status; The wear particle recognition and automatic classification function of LNF can partially replace analytical ferrometers, reducing the long-term dependence of the equipment wear detection industry on analytical ferrometers. At the same time, it has the characteristics of fast analysis speed, easy operation, and low detection cost, making it an ideal choice for third-party testing institutions and industrial on-site oil testing laboratories. Unlike traditional photoresist particle counters, the American Spey ultra intelligent iron spectrometer LNF-Q220 uses direct imaging technology to directly capture the morphology characteristics of abrasive particles through a high-resolution CCD optical system, including size, quantity, contour, and transparency. LNF-Q220 has a built-in pattern recognition intelligent algorithm that automatically classifies abrasive particles based on the analysis of their morphology.
Technical parameters of the American Spey ultra intelligent ferrograph LNF-Q220:
1.Standard used: ASTM D7596
2.Analysis range: viscosity: 15-320cSt (40 ℃) abrasive particle size: 4 μ m-100 μ m
3.Accuracy: Related to standards
4.Repetition accuracy: related to standards
5.Temperature control accuracy: ± 0.1 ℃ (viscosity test)
6.Injection volume: ≥ 30ml
7.Solvent/reagent: Electrical solvent; Kerosene, etc
8.Working temperature: 25 ℃ -35 ℃
9.Working humidity: 10% -80%, no condensation
10.Working altitude: less than 5000 meters
11.Software/Operating System: Windows ® 7. 2000, XP or Vista
12.Monitor: External monitor
13.Data storage: external control computer
14.Data transfer: USB
15.Security Performance: Password Protection
16.Data input: external device
17.Power: 240V/50Hz, 10W
18.Power consumption: 10W
19.Size: 22.9cm (height) x 17.8cm (width) x 43.2cm (length)
20.Weight: Approximately 7.65 kilograms
21.Packaging size: 35.6cm (height) x36.8cm (width) x78.7cm (length)
22.Transport weight: approximately 12.2 kilograms
23.Output results: Particle counting function (defined by ISO4406, NAS1638, NAVAIR01-1A-17, SAE AS 4059, GOST, ASTM D6786 and user-defined pollution levels), viscosity (ASTM standard); Free water content (% or ppm); Residual carbon (wt.%); Grain morphology image (LNF method)
The characteristics of the American Spey ultra intelligent ferrograph LNF-Q220:
1.ASTM D7596 standard
2.Based on LaserNet Fines (LNF) automatic imaging and abrasive recognition technology, automatically complete abrasive classification
3.Fast testing speed, easy operation, low testing cost, no need for calibration
4.Built in ISO 4406, NAS1638, SAE4059, NAVIR, GOSTHAL, ASTM D6786 and other pollution assessment standards, directly measuring the pollution level of oil
5.User defined pollution level evaluation criteria
6.Simultaneously complete the calculation of oil pollution level, classification of abrasive particles, determination of viscosity, free water, and residual carbon. Equipped with built-in equipment asset management and abrasive particle trend analysis functions
7.Automatic light source intensity adjustment (AGC) mechanism, which can directly measure engine oil with high residual carbon (2%)
8.No need for dilution, directly measure high pollution (5000000 particles/mL) oil samples