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Dergiler / International Journal of Automotive Science and Technology / 2026 / Volume: 10 Issue: 2

Statistical Investigation of Specific Friction Work in a Spark Ignition Engine

Hüseyin Emre Doğan(KARAMANOĞLU MEHMETBEY ÜNİVERSİTESİ)0000-0002-9445-3697
Abdurrahman Demirci(KARAMANOGLU MEHMETBEY UNIVERSITY)0000-0002-2569-5174
Sayfa
—
Yayın Tarihi
2026-05-14
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Thus, regression equations provide a robust framework for predicting specific friction work in both theoretical modelling and experimental validation for single-cylinder spark ignition engines.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Internal combustion engines and electric motors are competing against each other again after almost a century.
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Temel Bulgular & Veri:Initially, in the base model that included the indicated mean effective pressure as the fourth independent variable, the R² value of the model was obtained as 88.5% by adding the interaction between compression ratio and engine speed.
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Sonuç & Katkı:Thus, regression equations provide a robust framework for predicting specific friction work in both theoretical modelling and experimental validation for single-cylinder spark ignition engines.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Friction mean effective pressure · Internal combustion engine · Mechanical efficiency

Abstract

Internal combustion engines and electric motors are competing against each other again after almost a century. Although some changes seem possible for passenger cars, the widespread use of internal combustion engines in commercial, rail and maritime transportation have continued. Mechanical friction remains a critical determinant of efficiency in internal combustion engines. This study investigates the variation in specific friction work within a single-cylinder spark ignition research engine. The identified independent variables were compression ratio, brake mean effective pressure or indicated mean effective pressure, engine speed and relative air/fuel ratio. Two different regression models were created using these parameters. Initially, in the base model that included the indicated mean effective pressure as the fourth independent variable, the R² value of the model was obtained as 88.5% by adding the interaction between compression ratio and engine speed. In the second model the brake mean effective pressure is incorporated into the model instead of the indicated mean effective pressure. With the addition of both interactions to this model, R2 was calculated as 92.5%. In the final part of the study, the created model was compared with different equations recommended in literature. However, it was determined that pumping losses were used differently in the equations in the studies examined. Consequently, approaches that include brake mean effective pressure in addition to engine speed were found to be more consistent with the experimental results. Thus, regression equations provide a robust framework for predicting specific friction work in both theoretical modelling and experimental validation for single-cylinder spark ignition engines.

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Bu Makaleye Atıf Yap

Doğan, H. E., Demirci, A. (2026). Statistical Investigation of Specific Friction Work in a Spark Ignition Engine. International Journal of Automotive Science and Technology, Volume: 10 Issue: 2. https://doi.org/10.30939/ijastech..1865217

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