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<p>This research aims to enhance the efficiency, adaptability and environmental sustainability of twin turbojet engines in the evolving aviation industry. Conventional turbojet engines with their larger diameters and straight combustion chambers, suffer from static fuel–air mixing inefficiencies, leading to suboptimal combustion, excessive weight, and increased fuel consumption. Due to restrictions, engine weights usually range from 80 to 100&#xa0;kg, and specific fuel consumption (SFC) values range from 0.20 to 0.35&#xa0;kg/N/h at cruise speed. Our research suggests a Twin Turbocharged Cross-Dual Tubular Combustion Chamber (TTX2T), a unique solution that greatly improves combustion performance while lowering weight, to address these issues. The suggested design was validated by Experimental analysis and Computational Fluid Dynamics (CFD) simulations, which confirmed improved thrust-to-weight ratio, compactness, lower SFC and enhanced thermal stability. The performance of the unique engine under various operating conditions was evaluated through extensive testing, which included Mach dynamics, environmental emissions, and AI-driven predictive modeling. There are several applications for this technology particularly in UAVs, military fighter aircraft, and future supersonic aircrafts where it enables real-time adaptation to changing flight conditions while optimizing fuel efficiency and lowering emissions. Through the application of machine learning-based optimization, the twin turbojet engine achieves unprecedented efficiency, thrust scalability, and adaptability paving the path for the next generation of propulsion systems.</p>

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Experimental Quantification and Computational Synergy of Dual Cross Tubular Combustion in Twin Turbojet Engines: A Mach-Regime Thermochemical Disruption

  • 期刊论文

  • 发表日期：

    2025年6月23日

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  • Abdullah Hasni,
  • Mumtaz Hussain Qureshi,
  • Muzammil Ejaz,
  • Abdul Saboor Khan,
  • Hafiz Syed Mubashir

摘要

This research aims to enhance the efficiency, adaptability and environmental sustainability of twin turbojet engines in the evolving aviation industry. Conventional turbojet engines with their larger diameters and straight combustion chambers, suffer from static fuel–air mixing inefficiencies, leading to suboptimal combustion, excessive weight, and increased fuel consumption. Due to restrictions, engine weights usually range from 80 to 100 kg, and specific fuel consumption (SFC) values range from 0.20 to 0.35 kg/N/h at cruise speed. Our research suggests a Twin Turbocharged Cross-Dual Tubular Combustion Chamber (TTX2T), a unique solution that greatly improves combustion performance while lowering weight, to address these issues. The suggested design was validated by Experimental analysis and Computational Fluid Dynamics (CFD) simulations, which confirmed improved thrust-to-weight ratio, compactness, lower SFC and enhanced thermal stability. The performance of the unique engine under various operating conditions was evaluated through extensive testing, which included Mach dynamics, environmental emissions, and AI-driven predictive modeling. There are several applications for this technology particularly in UAVs, military fighter aircraft, and future supersonic aircrafts where it enables real-time adaptation to changing flight conditions while optimizing fuel efficiency and lowering emissions. Through the application of machine learning-based optimization, the twin turbojet engine achieves unprecedented efficiency, thrust scalability, and adaptability paving the path for the next generation of propulsion systems.