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Beijing Stawo Technology Co., Ltd
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Beijing Stawo Technology Co., Ltd

  • E-mail

    18600010653@163.com

  • Phone

    18600010653

  • Address

    3rd Floor, Building 1, No. 35 Huilongguan West Street, Huilongguan Town, Changping District, Beijing

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SDW-PQ6 PQ Iron Gauge

NegotiableUpdate on 01/14
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Overview
The SDW-PQ6 PQ iron meter is of great significance in monitoring the use of oil to reduce equipment maintenance time and costs. The iron meter is your best solution. It can quickly detect the content of trace ferromagnetic debris in lubricating oil, hydraulic oil, and grease, and accurately and quickly evaluate the usage status of lubricating oil in use. After years of dedicated research and continuous experimentation, Stawo has finally developed an internationally advanced iron meter. Its repeatability test results show a testing error of less than 2.0% (accurate, one of the difficult problems to solve), and it can complete a test in 10 seconds with a beautiful and compact appearance
Product Details

SDW-PQ6 PQ Iron GaugeProduct Introduction


SDW-PQ6 PQ Iron Gauge

Monitoring the usage of oil is of great significance in reducing equipment maintenance time and costs, and an iron meter is your best solution. It can quickly detect the content of trace ferromagnetic debris in lubricating oil, hydraulic oil, and grease, and accurately and quickly evaluate the usage status of lubricating oil in use. After years of dedicated research and continuous experimentation, Stawo has finally developed an internationally advanced iron meter. Its repeatability test results show a testing error of less than 2.0% (accurate, one of the difficult problems to solve), and it can complete a test in 10 seconds (fast, one of the difficult problems to solve). It also has a beautiful and compact appearance, and is easy to use (portable, one of the difficult problems to solve), reaching the advanced level both domestically and internationally.

Purpose: Lubricating oil contains mechanical wear information, which refers to the friction and wear characteristics of the surface materials of the friction pair, and quantitatively analyzes the wear of ferromagnetic particles in the oil. Draw a wear trend curve and detect abnormal wear status of equipment in the early stages of faults, so as to repair it in a timely manner and avoid unexpected shutdowns and serious accidents.


Performance characteristics:


1. Working voltage: AC 100V-240V 50Hz/60Hz

2. Resolution: 1/2000

3. Operation: Capacitive touch screen

4. Display: 5.6-inch color LCD display, resolution: 640X480

5. Capture range of abrasive particles:>1 μ m (ferromagnetic abrasive particles)

6. Index measurement range: 0-15000PQ

7. Reproducibility error:<1%

8. Oil sample transportation method: Rotary table transportation

9. Rotary conveying angular velocity: 33 °/s

10. Comes with data analysis and management software, and can also communicate data with PC computers


Instrument parameters:


project

parameter

power supply voltage

AC 100V-240V 50Hz/60Hz

power consumption

<15W

Power connection

IEC 6A 3PIN power cord

Environmental temperature for use

15℃-30℃

Environmental humidity for use

30%-80%

Overall dimensions

402*266*186mm

Total weight

<5kg

USB connection

Type-A2.0 (only for connecting USB drives)

data communication

RS232 serial communication port

Operation input method

Capacitive touch screen on display

display

5.6-inch TFT color LCD display (640 * 480)

measurement range

0-15000PQ

Measurement resolution

1PQ (average resolution of 0.1PQ)

repetitiveness

Measure stable oil samples (such as 750 standard samples), repeat the measurement 100 times, and 90% of the data falls within ± 0.5% or ± 3PQ.

Capture the range of abrasive particles

> 1 μ m (ferromagnetic abrasive particles)

rotary speed

11S/Circle





PC data management trend analysis software:

This software is mainly used to obtain, display, create charts, analyze trends, calibrate, and print data measured by users on iron meters. The data management software consists of the following parts:

1. Read measurement data

2. Import stored data

3. Save measurement data

4. Delete selected data

5. Trend analysis

6. Print curve chart