Real-Time Prediction of the Yarn Break Position Using Vibration Measurement

Area of Science:

• Textile Engineering
• Mechanical Engineering
• Vibration Analysis

Background:

• Warping connects yarn manufacturing and fabric creation, with efficiency dependent on warping speed and yarn break detection.
• Traditional yarn break detectors rely on mechanical solutions, limiting detection speed and machine efficiency.
• Faster detection of yarn breaks allows for increased warping machine speeds.

Purpose of the Study:

• To propose and evaluate an enhanced yarn break detection system using accelerometers to measure yarn vibrations.
• To compare the performance of the proposed accelerometer-based system with traditional mechanical detectors.
• To explore the potential for automated break detection and removal in textile production.

Main Methods:

• Utilizing an accelerometer to measure vibrations in moving yarn to detect breaks.
• Implementing a threshold value of 22 m/s² for rapid detection and machine stoppage.
• Analyzing yarn vibration patterns using the MRSCEK coefficient (aggregating six standard coefficients) to determine break location.
• Testing the system with yarns of varying linear densities.

Main Results:

• The accelerometer-based system stops the warping machine within 2.752 to 2.808 ms upon detecting a break.
• This detection speed is approximately 50 times faster than conventional mechanical detectors.
• The MRSCEK coefficient analysis allows for precise determination of the yarn break's distance from the sensor.
• The system demonstrated effectiveness across different yarn linear densities.

Conclusions:

• The proposed accelerometer-based yarn break detection system offers a significant speed improvement over mechanical methods.
• This technology can enhance the efficiency of the warping process in textile manufacturing.
• The ability to determine break location opens possibilities for future automated defect removal systems.