OIL-PHOTOWAVE

OIL-PHOTOWAVE is used to analyze particle size and shape in oil for identifying the classification of wear particles, such as Cutting, Sliding, Fatigue, Fibers and Non-metallic. It is also with the function of particulate contamination grade analysis according to GJB420B, NAS1638, ISO4406 and other standards.

Product Details

product detail

Principles

The OIL-PHOTOWAVE system uses an high speed imaging technology to intelligently capture the shape of particles flowing through the flow cell. Through the intelligent training algorithm, the morphological characteristics of the wear particles ( such as equivalent diameter, morphological factor and void ratio ) are obtained, and the particles are automatically classified and counted to determine the main wear form or contamination source and determine the contamination grade of the oil , easily assess machinery health in just minutes.

SPECIFICATIONS

	ITEM	PARAMETERS
1	Test Method	High speed imaging
2	Technique	Intelligent image recognition
3	Pixel Size	1280×1024
4	Resolution	2 um
5	Optical Magnification	×4
6	Particle shape minimum detection limit	10 um
7	Particle size minimum detection limit	2 um
8	Classification of wear particles	Cutting, Sliding, Fatigue and Non-metallic
9	Contamination grade	GJB420B、ISO4406、NAS1638
10	Functions	Wear particle and contamination grade analysis；Moisture, viscosity, temperature, dielectric constant analysis modules for options
11	Testing Time	3-5 minutes
12	Sample Volume	20 ML
13	Particles Range	2-500 um
14	Sampling mode	8 roller peristaltic pump
15	Built-in computer	12.1 inch IPC
16	Dimensions (H×W×D)	438mm×452mm×366mm
17	Power	AC 220±10% 50Hz 200W
18	Environmental Operating Requirements	5^°C~+40^°C、<(95±3)%RH
19	Storage Temperature(°C)	-40^°C ~ +65^°C

Typical Application

Ship, electric power, engineering machinery, industrial manufacturing, aviation, railway

Key Features

-Analyze the actual morphology characteristics and wear form of particle size above 10 um.

-Analyze the Contamination grade of particle size above 2um.

-Options of moisture, viscosity, temperature, dielectric constant multi-one analysis function mode.

-Wear particle morphology characteristics training database and daily analysis database.

-Wear classification and trend analysis.

-Using the training intelligent algorithm to classify and count the wear particles of cutting, sliding, fatigue and non-metallic ( water droplets, fibers, rubber, gravel and other non-metallic ) causes.