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March 29, 2026Processes2 citationsOpen Access

Study on Risk Analysis of a Rotary Kiln-Based Activated Carbon Manufacturing Process Using Fuzzy-FMEA

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JKJong Gu KimBBByong Chol Bai

Key Points

  • This research aims to identify and prioritize safety risks in the rotary kiln-based activated carbon manufacturing process using Fuzzy-FMEA.
  • Applied classical FMEA and Fuzzy-FMEA to evaluate 18 failure modes.
  • Five experts rated failure modes on a 10-point scale for Severity, Occurrence, and Detection.
  • Used triangular membership functions and a monotonic 27-rule base for fuzzy analysis.
  • Calculated fuzzy risk priority numbers (FRPN) with Mamdani inference and centroid defuzzification.
  • Classical FMEA identified dust explosion, temperature control failure, and off-gas leakage as top risks.
  • Fuzzy-FMEA underscored off-gas leakage and other barrier-related risks alongside dust explosion.
  • Strong correlation found between classical and fuzzy ranking methods (Spearman ρ = 0.871).
  • Actionable engineering packages were developed for improvements in dust control, off-gas integrity, and temperature safety.

Abstract

Rotary kiln-based activated carbon production combines high-temperature operation with flammable/reducing gases, carbonaceous dust, and downstream off-gas treatment and acid/base washing, creating complex escalation pathways. This study prioritizes safety improvements by applying classical failure modes and effects analysis (FMEA) and a transparent Fuzzy-FMEA framework to 18 representative failure modes (six each for kiln/activation, acid/base handling, and atmosphere/control). Five experts evaluated Severity, Occurrence, and Detection on a 10-point scale. The fuzzy model used triangular membership functions (L/M/H), a monotonic 27-rule base, Mamdani max–min inference, and centroid defuzzification to compute a continuous fuzzy risk priority number (FRPN, 0–10). Classical FMEA identified dust explosion (RPN = 405), temperature control failure (RPN = 378), and off-gas leakage (RPN = 324) as the highest-ranked risks. Fuzzy-FMEA preserved the top-risk group while more strongly highlighting barrier-related risks, placing off-gas leakage, instrumentation/interlock failure, and electrostatic ignition control alongside dust explosion (FRPN 9.221–9.332). The rankings were strongly correlated (Spearman ρ = 0.871; Kendall τ = 0.752), yet mid-risk items were rearranged (mean |Δrank| = 2.06; max = 5), improving discrimination within tied RPN clusters. The five highest-priority scenarios were reconstructed into actionable engineering packages, including dust and ignition control, off-gas integrity linked to shutdown logic, interlock proof testing and bypass management, and independent protection layers for kiln temperature control.

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Cite This Study

Kim et al. (2026) studied this question.

synapsesocial.com/papers/69c8c25dde0f0f753b39cb09https://doi.org/10.3390/pr14071071
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