Investigation into the relationship between piston ring end gap sizes and diesel engine performance metrics

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ID: 286923
2025
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Abstract
This study investigates the relationship between piston ring end gap sizes and diesel engine performance metrics, focusing on how variations in end gap sizes impact exhaust gas temperature (EGT), crankcase pressure, and engine vibrations across different operational speeds. Utilizing an Isuzu C190 engine, comprehensive controlled experiments were conducted to provide deep insights into the combustion and mechanical processes affected by piston ring end gap adjustments and their effects on engine efficiency. The findings reveal a direct correlation between increased piston ring end gap sizes and reduced EGT, indicating decreased combustion efficiency due to compromised sealing capabilities. Larger end gaps also result in minimal variations in crankcase pressure at higher operational speeds. The results indicate that crankcase pressure is an ineffective metric at detecting early piston ring end gap failure. Variations in piston ring end gaps also influenced significant changes in vibration frequencies, particularly at lower speeds. These results underscore the potential of using exhaust gas temperature as a diagnostic indicator for the early detection of piston faults. The researcher concluded that exhaust gas temperature (EGT) is an effective metric at detecting early piston ring end gap failure at every operational speed. This research significantly contributes to the automotive field by enhancing the understanding of how critical engine components such as piston rings influence overall engine behavior. The detailed analysis of the impact of piston ring end gaps provides valuable insights that can help improve diagnostic approaches. The study advocates for further exploration into the complex relationships between engine components and performance metrics. Keywords: Diesel Engine Performance, Piston Ring End Gaps, Exhaust Gas Temperature (EGT), Crankcase Pressure, Engine Vibration Analysis
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persistent_1760660064_68f18a607255f Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Martinez, Kylejun Panaligan
Journal Malay Journal
Year 2025
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