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Effect of Butanol-Gasoline Blend Toward Performance Matic-Transmission Applied in Single Cylinder Capacity Engine Setyono, Gatot; Khusna, Dwi; Kholili, Navik; Putra Sanjaya, Lingga; Argil Putra, Fajar Galang
Infotekmesin Vol 14 No 1 (2023): Infotekmesin: Januari, 2023
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v14i1.1629

Abstract

The availability of fuel oil is decreasing while the level of consumption is increasing. This encourages the need for the development of alternative energy to minimize the crisis. This study investigates the characteristics of fuel and automatic transmission combustion engines. The fuel used is butanol variations B7, B12 and B18 (7%, 12%, and 18%) and pertalite (RON-90). The gasoline engine used has a capacity of 110 cc with a compression ratio of 9.5:1, an automatic transmission system, and air conditioning. The performance test equipment used is the Dynotest-chassis type 50L-BRT. Fuel variations are applied to an engine performance test by using engine speeds of 3000-9000 rpm. The results showed that the use of 18% butanol increased the output power and thermal efficiency by 8.3 kW and 923.95 kPa at 8000 rpm. torque and MEP (average effective pressure) increased by 8 N.m and 923.95 kPa at 5000 rpm. Meanwhile, SFC (specific fuel consumption) decreased by 0.35 kg/kWh at 8000 rpm.
Investigation of Exhaust Emissions Combustion Characteristics in Single Spark Ignition-Engine Matic with Butanol-Gasoline Mixture Setyono, Gatot; Khusna, Dwi; Kholili, Navik; Putra Sanjaya, Lingga; Argil Putra, Fajar Galang
Infotekmesin Vol 14 No 2 (2023): Infotekmesin: Juli, 2023
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v14i2.1903

Abstract

Butanol as a fuel has a high oxygen content, so the combustion process will be more friendly to the environment. In this study, butanol will be mixed with RON-90 gasoline with a capacity of 5% (B5); 7%(B7); 10%(B10); 12%(B12); 15%(B15) and 18%(B18). The engine used is an automatic transmission with a capacity of 109.5cc with a compression ratio of 9.5:1. The test equipment for engine performance and exhaust emissions is the 50L BRT Super-Dyno and EPSG4 Gas Analyzer. The results showed that using B18 fuel for CO exhaust emissions decreased by 44% at an engine speed of 6000rpm. CO2 exhaust emissions have decreased by 47% at 8000rpm engine speed. HC exhaust emissions have decreased by 28% at 9000rpm engine speed. In contrast to NOx emissions, which increased by 22% at 9000rpm engine speed, this was due to the increasing temperature in the combustion chamber.
Multi-Response Optimization of Spark-Ignition Engine Performance Using Methanol–Butanol Ethanol Fuel Blends through Response Surface Methodology Dwi Khusna Khusna; Gatot Setyono; Navik Kholili; Alfi Nugroho
Infotekmesin Vol 17 No 2 (2026): Infotekmesin: Juli 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/

Abstract

Improving combustion efficiency while reducing fuel consumption remains a major challenge in the development of spark-ignition (SI) engines. Oxygenated alcohol fuels have attracted considerable attention because of their potential to improve combustion quality and energy conversion efficiency. However, previous studies have mainly focused on single or binary alcohol blends, whereas comprehensive optimization of ternary methanol–butanol–ethanol (MBE) blends under different engine operating conditions remains limited. This study investigated the combined effects of MBE blend ratio (9–17 vol.%), engine speed (4000–9000 rpm), and ignition timing (15–25°CA) on SI engine performance using Response Surface Methodology based on a Face-Centered Central Composite Design (FCCD). Power, specific fuel consumption (SFC), and thermal efficiency (TE) were selected as response variables, and twenty experimental runs were conducted to develop quadratic prediction models and determine the optimum operating condition through desirability-based multi-response optimization. The developed models exhibited excellent predictive capability, with coefficients of determination (R²) exceeding 0.99 and statistically insignificant lack-of-fit values. Engine speed was identified as the most influential factor affecting all responses. The optimum operating condition was obtained at 16.21 vol.% MBE, 7015.42 rpm, and 24.31°CA, producing 6.32 kW power, 0.499 kg/kW·h SFC, 22.44% thermal efficiency, and an overall desirability of 0.973. These findings suggest that FCCD-based multi-response optimization is an effective approach for improving SI engine performance using ternary MBE fuel blends.