EXPLORING FUEL OCTANE NUMBERS: A COMPREHENSIVE ANALYSIS USING ACCELEROMETER-BASED ASSESSMENT AND STATISTICAL METRICS
Abstract
This study presents a comprehensive analysis of fuel octane numbers using accelerometer-based assessment and statistical metrics. The performance of gasoline engines heavily relies on the octane number of the fuel used, which indicates its resistance to knocking. Traditional methods for measuring octane numbers are time-consuming and expensive. In this research, an innovative approach is proposed, utilizing an accelerometer to measure engine vibrations under controlled conditions. Correlation analysis and regression modeling were performed to establish the relationship between accelerometer readings and octane numbers. The results demonstrate a strong positive correlation and the development of a predictive model for estimating octane numbers based on accelerometer data. This study provides valuable insights for fuel development, engine optimization, and real-time octane number estimation.
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