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Predict the characteristics of the DI engine with various injection timings by Glycine max oil biofuel using artificial neural networks.

作者信息

Rajak Upendra, Panchal Manoj, Dasore Abhishek, Verma Tikendra Nath, Chaurasiya Prem Kumar

机构信息

Department of Mechanical Engineering, RGM College of Engineering and Technology, Nandyal, 518501, India.

Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, 522302, India.

出版信息

Environ Sci Pollut Res Int. 2025 Jul;32(32):19546-19561. doi: 10.1007/s11356-024-34429-w. Epub 2024 Jul 25.

Abstract

Glycine max oil biofuel (GMOB) is a product of the transesterification of soybean oil. It contains a substantial amount of thermal energy. In this study, the result of varying fuel injection timings on the performance, ignition, and exhaust parameters of a research engine with single-cylinder, four-stroke with direct injection (DI) diesel was experimentally investigated and optimised using artificial neural networks (ANN). The results demonstrated that a 20% fuel blend with 24.5° before top dead centre (b TDC) decreased brake thermal efficiency (BTE), NO emissions, and exhaust cylinder temperature but improved fuel consumption, carbon dioxide emissions (CDE), and smoke emissions. With 26.5° b TDC, the BTE was found to be approximately 5.0% higher while the fuel consumption was approximately 2.0% lower than with the original injection timing of 24.5° b TDC. At 26.5° b TDC, the NO emission was approximately 8.6% higher, and the smoke emission was approximately 4.07% lower than at the original injection timing (24.5° b TDC).

摘要

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