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Detection System for U-Shaped Bellows Convolution Pitches Based on a Laser Line Scanner.

Yutu Yang1, Zengtao Chen2, Ying Liu1

  • 1College of Mechanical and Electrical Engineering, Nanjing Forestry University, Nanjing 210037, China.

Sensors (Basel, Switzerland)
|February 21, 2020
PubMed
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This study presents an automated method for detecting changes in bellows expansion joint convolution pitch after fatigue testing. This improves the efficiency and objectivity of quality inspection for critical industrial components.

Area of Science:

  • Mechanical Engineering
  • Materials Science
  • Quality Control

Background:

  • Expansion joints are crucial components in piping and container systems, compensating for thermal and mechanical stresses.
  • Bellows expansion joints undergo fatigue testing to assess product quality, with changes in convolution pitch being a key evaluation metric.
  • Current manual inspection methods for convolution pitch are inefficient and subjective, necessitating an automated solution.

Purpose of the Study:

  • To develop and validate a novel automated method for detecting changes in bellows expansion joint convolution pitch.
  • To enhance the precision and efficiency of quality inspection for bellows expansion joints.

Main Methods:

  • Utilizing a laser line scanner combined with a precision motorized stage to capture point cloud data of bellows.
Keywords:
S-G algorithmbellows expansion jointconvolution pitch detectionlaser line scanner

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  • Implementing data processing techniques including denoising, fitting, and a peak-finding algorithm to identify convolution crests.
  • Developing a method to calculate convolution pitch and establish product eligibility criteria.

    • Main Results:

    • The automated system accurately detects changes in convolution pitch, providing a quantitative measure for quality assessment.
    • A case study using a DN500 expansion joint demonstrated the system's efficiency and precision.
    • The method has been successfully implemented in a provincial inspection institute, confirming its practical applicability.

    Conclusions:

    • The novel automated method offers a significant improvement in precision and efficiency for bellows expansion joint quality inspection.
    • This technology addresses the limitations of manual, subjective inspection practices.
    • Successful implementation validates the system's effectiveness in real-world industrial quality control settings.