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Carbon fiber product line
Raw fiber linear density testing
The operator uses an automatic detection mechanism to cut one meter of carbon fiber yarn. After cutting, the yarn is automatically hung on a balance to begin weighing. The system simultaneously collects weight data at high speed for stability assessment. Once the data is stable, it determines whether the linear density is qualified according to the product's preset testing standards and displays the results on the main interface.
This includes, but is not limited to, the testing date, work group, product model, carbonization workshop, casting time, length in meters, linear density value, deviation value, and deviation percentage (some fields require data from the upstream system).
If the linear density fails to meet the requirements, the system will issue an audible and visual alarm and provide a voice prompt, and record the spool number of the carbon filament and the abnormal linear density information. All test results will be recorded in the database for statistical analysis.
Applicable scenarios: Composite materials industry / Textile industry
Inquiry Hotline 400-8800-716
Product Features
01
Single-axis outer ring inspection
The linear density of the outer ring of a single carbon filament spool is tested at a time, with a yarn length of 1 meter.
02
12-second rapid detection
On average, it takes less than 12 seconds to complete the linear density detection and rejection of a single yarn.
03
Precision cutting control
The automatic cutting error of 1 meter of yarn is less than 0.5%;
04
Error message printing (optional)
Supports printing information on abnormal line density (optional);
05
Switch alarm output
It can reject switch signals and alarm signals;
06
Standard QR code acquisition
Product type and testing standards are obtained from the data provider via barcode scanning and communication interface;
07
Wide range detection
Linear density detection range: 100Tex-9600Tex;
08
Visual data analysis
Implement a system for visualizing and statistically analyzing linear density data;
09
Multi-machine network statistics
Multiple devices can be networked together, and data can be centrally uploaded to the server to provide workshop-level statistical analysis;
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