A new sound quality parameter for intake noise perception
International Journal of Engine Research, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1177/14680874261463436
- Dergi Adı: International Journal of Engine Research
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, Materials Science & Engineering Collection (ProQuest), Technology Collection (ProQuest)
- Anahtar Kelimeler: 1D analysis, acoustics, intake noise, multiple linear regression, sound quality
- Bursa Uludağ Üniversitesi Adresli: Evet
Özet
This study introduces IntakeSQ, a novel Sound Quality (SQ) metric for predicting intake noise perception during the early design phase. Utilizing 1D simulation and experimental measurements, various resonator configurations were implemented and evaluated. Subjective tests were conducted with a jury of 50 individuals, and a final Multiple Linear Regression (MLR) model was developed using a minimal set of independent metrics: Speech Interference Level (SIL), Sharpness (Sd), and Tonality (T). The model achieved high predictive accuracy with a total coefficient of determination (R2) of 0.922 and an Adjusted R2 of 0.888. To ensure robustness, the metric was rigorously verified through Leave-One-Out Cross-Validation (LOOCV), yielding a LOOCV R2 of 0.836 and a Mean Squared Error (MSE) of 0.160. Furthermore, the model was successfully validated across 12 different vehicles, confirming its generalizability. By enabling perception prediction directly from engine compartment data, this standalone assessment tool bypasses the need for late-stage full-vehicle prototypes and complex transfer function modeling, allowing for effective intake system optimization at the component level.