International Journal of I.C. Engines and Gas Turbines
Volume 12, Issue 1 (2026)
Table of contents
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: Abstract This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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Experimental Analysis of Performance, Combustion and Emission Characteristics of a Thermal Barrier–Coated Piston Diesel Engine Fuelled with Jatropha Biodiesel Blended with Nanoparticles
Abstract: Abstract The present study experimentally investigates the performance, combustion, and emission characteristics of a compression ignition diesel engine equipped with a thermal barrier–coated (TBC) piston and fuelled with alumina nanoparticle-enhanced Jatropha biodiesel. A yttria-stabilized zirconia (YSZ) ceramic coating was applied on the piston crown to reduce heat loss and improve in-cylinder thermal conditions. Jatropha biodiesel blends (B10, B20, and B30) were prepared through transesterification, and alumina (Al₂O₃) nanoparticles at a …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 1–9 Read article
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Third Generation Biofuel as Alternative Fuel for Compression Ignition Engine
Abstract: In recent years, many researchers have tested compression ignition engines with the goal of creating a diesel fuel alternative. This was also published in literature. The limited supply and increased cost of petroleum products are two main reasons for the search for alternate feedstocks for biodiesel. This paper reviews the potential of alternative biodiesel feedstocks to replace petroleum diesel, specifically focusing on algae biodiesel and the process for producing biodiesel. …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 10–15 Read article
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Comprehensive Review and Analysis of Gas Turbine Power Plant Performance: Impact of Operating Conditions, Ambient Temperature, and Cycle Configurations
Abstract: This study presents a comprehensive review of gas turbine (GT) power plants, focusing on simple and complex cycles. The review examines the influence of operating conditions, ambient temperature, and cycle configurations on GT performance. Turbine work and thermal efficiency decrease with increasing ambient temperature. Thermal efficiency increases linearly with compression ratio, but decreases with ambient temperature. Specific fuel consumption (SFC) increases with ambient temperature and lower turbine inlet temperature. Compression …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 16–28 Read article
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A Review on Hybrid Honeycomb Engine Mounts for Vibration Isolation in Variable Compression Ratio Engines
Abstract: The increasing sophistication of modern engine systems has highlighted the importance of advanced vibration control methods. Engines today are required to function under continuously changing operating conditions, particularly in Variable Compression Ratio (VCR) systems, where vibration behavior becomes highly complex, non-linear, and dependent on time. Under such circumstances, conventional engine mounts often struggle to deliver stable and consistent performance. In contrast, hybrid honeycomb structures offer significant advantages due to their …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 29–34 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified one-stop …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 35–51 Read article