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<p>Accurate assessment of bicycle chain wear is essential for maintaining drivetrain efficiency, extending component lifespan, and preventing costly or hazardous failures, particularly in high-performance cycling. Many commercially available chain wear measurement tools may be limited by poor consistency, inconsistent or nonexistent applied preload, and user-dependent variability, while laboratory-based methods are impractical for field use. This study presents the design, development, and validation of a novel precision in-situ chain wear measurement tool for assessing bicycle chain elongation. This new tool offers robustness, repeatability, and accuracy for both laboratory and field applications. Measurement system performance was evaluated using a Gage Repeatability and Reproducibility (Gage R&amp;R) study, comprising five chains at varying wear levels, three repeated trials, and three appraisers. Data were analyzed using a two-way crossed Analysis of Variance (ANOVA) approach. Results showed that 91.89% of the total observed variation was attributable to differences between the chains, while the measurement system (Total Gage R&amp;R) contributed 8.11% to the total variance. The 95% expanded uncertainty for the tool was calculated as <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\pm \,{0.253}\,\text {mm}\)</EquationSource> </InlineEquation> (<InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\pm \, {0.166}{\%}\)</EquationSource> </InlineEquation> elongation), and the Number of Distinct Categories (NDC) was 4 under the tested conditions. The core operational principle of the checker was validated, confirming its capability for quantitative chain wear assessment. This instrument enables precision and reproducible chain wear monitoring, supporting informed maintenance strategies for both research and high-performance cycling. By enabling proactive upkeep, it helps optimize equipment longevity, performance, and safety.</p>

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A high precision in-situ chain wear measurement tool

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月29日

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  • Teal Dowd,
  • Patrick Cavanaugh,
  • Jan-Anders Mansson

摘要

Accurate assessment of bicycle chain wear is essential for maintaining drivetrain efficiency, extending component lifespan, and preventing costly or hazardous failures, particularly in high-performance cycling. Many commercially available chain wear measurement tools may be limited by poor consistency, inconsistent or nonexistent applied preload, and user-dependent variability, while laboratory-based methods are impractical for field use. This study presents the design, development, and validation of a novel precision in-situ chain wear measurement tool for assessing bicycle chain elongation. This new tool offers robustness, repeatability, and accuracy for both laboratory and field applications. Measurement system performance was evaluated using a Gage Repeatability and Reproducibility (Gage R&R) study, comprising five chains at varying wear levels, three repeated trials, and three appraisers. Data were analyzed using a two-way crossed Analysis of Variance (ANOVA) approach. Results showed that 91.89% of the total observed variation was attributable to differences between the chains, while the measurement system (Total Gage R&R) contributed 8.11% to the total variance. The 95% expanded uncertainty for the tool was calculated as \(\pm \,{0.253}\,\text {mm}\) ( \(\pm \, {0.166}{\%}\) elongation), and the Number of Distinct Categories (NDC) was 4 under the tested conditions. The core operational principle of the checker was validated, confirming its capability for quantitative chain wear assessment. This instrument enables precision and reproducible chain wear monitoring, supporting informed maintenance strategies for both research and high-performance cycling. By enabling proactive upkeep, it helps optimize equipment longevity, performance, and safety.