Nanotechnology and LSTM machine learning algorithms in advanced fuel spray dynamics in CI engines with different bowl geometries

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 6, 2025

This study explores the integration of nanotechnology and Long Short-Term Memory (LSTM) machine learning algorithms to enhance understanding optimization fuel spray dynamics in compression ignition (CI) engines with varying bowl geometries. The incorporation nanotechnology, through addition nanoparticles conventional fuels, improves atomization, combustion efficiency, emission control. Simultaneously, LSTM models are employed analyze predict complex behavior under diverse operational geometric conditions. Key parameters, including penetration, droplet size distribution, evaporation rates, modeled validated against experimental data. findings reveal that nanoparticle-enhanced coupled LSTM-based predictive analytics, lead superior performance lower pollutant formation. interdisciplinary approach provides a robust framework for designing next-generation CI improved efficiency sustainability. Diesel engine emissions were found be influenced by variations chamber geometry, underwent validation simulation using Diesel-RK. Re-entrant profile quaternary blend is exhibit 31.3% higher BTE 8.65% lowered BSFC than HCC at full load condition. Emission wise, re-entrant induced 90.16% CO, 59.95% HC 15.48% smoke owing penetration faster burning soot precursors. However, NOx DBOPN-TRCC higher. outcomes, derived from Diesel-RK, subsequently compared empirical data obtained real-world experiments. These experiments systematically carried out identical operating conditions, employing different piston

Language: Английский

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Usage of double injector for efficient mixing of the fuel behind the ramp injector at supersonic combustion chamber

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 7, 2025

This investigation presents extensive computational analyses of the compressible flow near ramp injector with double circular injectors at supersonic combustor scramjet engine. Comparison fuel mixing and jet penetration hydrogen are done for two configurations free stream Mach number 2. The simulation is via solving RANS equations fluid dynamic technique. Effect nozzle space on distribution mechanism has been investigated. Besides, interface behind fully analyzed. circulation strength these indicates that increasing led to higher strength. However, efficiency model low since interaction key factor diffusion inside combustion chamber.

Language: Английский

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Prediction of the transient coolant jet released from the nose cone at supersonic flow via machine learning

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 28, 2025

In this paper, the usage of a predictive surrogate model for estimate flow variables in transient phase coolant injection from nose cone by combining Long Short-Term Memory (LSTM) and Proper Orthogonal Decomposition (POD) technique. The velocity, pressure, mass fraction counterflow jet is evaluated via hybrid technique source discrepancy with Full order explained study. POD modes efficient prediction different are defined. performance + LSTM ranges training test it found that acceptable when 80% available data test. errors axial velocity higher due to complexity vortex recirculation region.

Language: Английский

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Entropy optimized nanomaterial flow with Soret and Dufour impacts

Engineering Science and Technology an International Journal, Journal Year: 2025, Volume and Issue: 63, P. 101971 - 101971

Published: Feb. 8, 2025

Language: Английский

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Comparative Analysis of Coal and Biomass for Sustainable Energy Production: Elemental Composition, Combustion Behavior and Co-Firing Potential

Water Air & Soil Pollution, Journal Year: 2024, Volume and Issue: 235(11)

Published: Sept. 20, 2024

Language: Английский

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Computational study of the coaxial air and fuel jet through a 3-lobe strut injector for efficient fuel mixing in a supersonic combustion chamber

Energy, Journal Year: 2024, Volume and Issue: 311, P. 133276 - 133276

Published: Sept. 26, 2024

Language: Английский

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A Short Review on Nano-Additives to Enhance Biodiesel Performance in Diesel Engines

Journal of Thermal Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

Language: Английский

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Exploring the synergistic effect of NaOH/NaClO absorbent in a novel wet FGD scrubber to control SOx/NOx emissions

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(2)

Published: Jan. 14, 2025

Language: Английский

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Multi-parameter conflict mechanism and evaluation criteria of combustible ignition tube based on two-phase flow method

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 116953 - 116953

Published: Feb. 1, 2025

Language: Английский

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A Review of Key Technologies for Green and Low-Carbon Future Buildings in China

Processes, Journal Year: 2025, Volume and Issue: 13(2), P. 574 - 574

Published: Feb. 18, 2025

Green and low-carbon transformation has become a global development theme. This paper provides systematic survey of the literature related to key technologies for green future buildings, including design method system buildings; buildings construction building materials; energy system; intelligent operation carbon emission control in stage; assessment system. analyzes summarizes whole chain “carbon monitoring-carbon accounting-carbon assessment-carbon control” life cycle buildings. We systematically surveyed overview latest trend scientific technological innovation; existing starting level science technology; intellectual property, competition, industrialization prospects each stage cycle. conducted an overall analysis characteristics, thematic context, knowledge evolution building-related research, both domestically internationally; referring relevant standards specifications new types such as preliminary theoretical framework is constructed from perspective entire

Language: Английский

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