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Tytuł artykułu

Analysis of advanced technology for combustion of homogeneous fuel mixture

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The most serious problems to overcome for a successful operation of the HCCI engine are control of the combustion phase, limited operational range, cold start of engine and high noise level during engine operation. This study aims at describing the engine power output characteristics and emission characteristics of HCCI engines under different testing conditions and the various challenges associated with these engines. Furthermore, this study holds a potential guide for overcoming these challenges and improvement of the engine power output as well as the emission characteristics. Thus, it is possible to say, concerning the performed investigation work, that HCCI combustion can be applied in existing conventional engines after their modifications. The most significant result of the HCCI process application is the reduction of NOx emissions and soot emissions, keeping almost the same engine power output as the conventional combustion process.
Rocznik
Tom
Strony
211--220
Opis fizyczny
Bibliogr. 20 poz.
Twórcy
  • Faculty of Mechanical Engineering, Technical university of Košice, Letná 9, 04001 Košice, Slovakia
  • Faculty of Mechanical Engineering, Technical university of Košice, Letná 9, 04001 Košice, Slovakia
  • Faculty of Mining, Ecology, Process Control and Geotechnology, TU Košice, Park Komenského 19, 040 01 Košice, Slovakia
  • Faculty of Mechanical Engineering, Technical university of Košice, Letná 9, 04001 Košice, Slovakia
Bibliografia
  • 1. Duan Xiongbo, et al. 2019. “Experimental Study the Effects of Various Compression Ratios and Spark Timing on Performance and Emission of a Lean-Burn Heavy-Duty Spark Ignition Engine Fueled with Methane Gas and Hydrogen Blends.” Energy 169: 558-571. DOI: https://doi.org/10.1016/j.energy.2018.12.0295571.571.
  • 2. Duan Xiongbo, et al. “Influence of Single Injection and Two-Stagnation Injection Strategy on Thermodynamic Process and Performance of a Turbocharged Direct-Injection Spark-Ignition Engine Fuelled with Ethanol and Gasoline Blend.” Applied Energy 228: 942-953. DOI: https://doi.org/10.1016/j.apenergy.2018.06.090.
  • 3. Duan Xiongbo, et al. 2020. “Quantitative Investigation the Influences of the Injection Timing under Single and Double Injection Strategies on Performance, Combustion and Emissions Characteristics of a GDI SI Engine Fueled with Gasoline/Ethanol Blend.” Fuel 260: 116363. DOI: https://doi.org/10.1016/j.fuel.2019.116363.
  • 4. Gracanin Danijela, et al. 2014. “Using Cost-Time Profile for Value Stream Optimization.” Procedia Engineering 69: 1225-1231. DOI: https://doi.org/10.1016/j.proeng.2014.03.113.
  • 5. He Bang-Quan, et al. 2015. “Comparison of Combustion Characteristics of n-Butanol/Ethanol-Gasoline Blends in a HCCI Engine.” Energy Conversion and Management 95: 101-109. DOI: https://doi.org/10.1016/j.enconman.2015.02.019.
  • 6. Kester Johannes, et al. 2018. “Policy Mechanisms to Accelerate Electric Vehicle Adoption: A Qualitative Review from the Nordic Region.” Renewable and Sustainable Energy Reviews 94: 719-731. DOI: https://doi.org/10.1016/j.rser.2018.05.067.
  • 7. Kučera Pavel, Václav Píštek. 2014. “Virtual prototype of a heavy duty off-road truck driveline in Simulink software”. Proceeding of International Conference Transport Means. “Transport Means”. K. Donelaičio st. 73, LT-44029 Kaunas: Kaunas University of Technology. P. 5-8. ISSN: 1822-296X.
  • 8. Chríbik Andrej, Marián Polóni, Matej Minárik, Radivoje Mitrovic, Zarko Miskovic. 2019. “The Effect of Inert Gas in the Mixture with Natural Gas on the Parameters of the Combustion Engine.” Computational and Experimental Approaches in Materials Science and Engineering: 410-426. DOI: https://doi.org/10.1007/978-3-030-30853-7_24.
  • 9. Czech Piotr. 2011. „Diagnosing of disturbances in the ignition system by vibroacoustic signals and radial basis function - preliminary research.” Communications in Computer and Information Science 239: 110-117. DOI: https://doi.org/10.1007/978-3-642-24660-9_13. Springer, Berlin, Heidelberg. ISBN: 978-3-642-24659-3. ISSN: 1865-0929. In: Mikulski Jerzy (eds), Modern transport telematics, 11th International Conference on Transport Systems Telematics, Katowice Ustron, Poland, October 19-22, 2011.
  • 10. Czech Piotr, Jerzy Mikulski. 2014. „Classifier and Entropy of Vibration Signals to Diagnose Damage of Head Gasket in Internal Combustion Engine of a Car.” Communications in Computer and Information Science 471: 225-232. DOI: https://doi.org/10.1007/978-3-662-45317-9_24. Springer, Berlin, Heidelberg. ISBN: 978-3-662-45316-2; 978-3-662-45317-9. ISSN: 1865-0929. In: Mikulski Jerzy (eds), Telematics – support for transport, 14th International Conference on Transport Systems Telematics, Katowice Ustron, Poland, October 22-25, 2014.
  • 11. Czech Piotr. 2012. „Determination of the Course of Pressure in an Internal Combustion Engine Cylinder with the Use of Vibration Effects and Radial Basis Function -Preliminary Research.” Communications in Computer and Information Science 329: 175-182. DOI: https://doi.org/10.1007/978-3-642-34050-5_21. Springer, Berlin, Heidelberg. ISBN: 978-3-642-34049-9; 978-3-642-34050-5. ISSN: 1865-0929. In: Mikulski Jerzy (eds), Telematics in the transport environment, 12th International Conference on Transport Systems Telematics, Katowice Ustron, Poland, October 10-13, 2012.
  • 12. Czech Piotr. 2013. „Intelligent Approach to Valve Clearance Diagnostic in Cars.” Communications in Computer and Information Science 395: 384-391. DOI: https://doi.org/10.1007/978-3-642-41647-7_47. Springer, Berlin, Heidelberg. ISBN: 978-3-642-41646-0; 978-3-642-41647-7. ISSN: 1865-0929. In: Mikulski Jerzy (eds), Activities of transport telematics, 13th International Conference on Transport Systems Telematics, Katowice Ustron, Poland, October 23-26, 2013.
  • 13. Pavlenko Ivan, Milan Saga, Ivan Kuric, Alexey Kotliar, Yevheniia Basova, Justyna Trojanowska, Vitalii Ivanov. 2020. “Parameter Identification of Cutting Forces in Crankshaft Grinding Using Artificial Neural Networks.” Materials 13(23): 5357. DOI: https://doi.org/10.3390/ma13235357.
  • 14. Sága Milan, Vladimír Bulej, Nadežda Čuboňova, Ivan Kuric, Ivan Virgala, Manfred Eberth. 2020. “Case Study: Performance Analysis and Development of Robotized Screwing Application with Integrated Vision Sensing System for Automotive Industry.”International Journal of Advanced Robotic Systems 17(3): 172988142092399. DOI: https://doi.org/10.1177/1729881420923997.
  • 15. Brezocnik Miran, et al. 2011. “Evolutionary Algorithm Approaches to Modeling of Flow Stress.” Materials and Manufacturing Processes 26(3): 501-507. DOI: https://doi.org/10.1080/10426914.2010.523914.
  • 16. Kuric Ivan, et al. 2021. “Analysis of Diagnostic Methods and Energy of Production Systems Drives.” Processes 9(5): 843. DOI: https://doi.org/10.3390/pr9050843.
  • 17. Liu Jingping, et al. 2017. “Experimental Study on the Performance, Combustion and Emission Characteristics of a High Compression Ratio Heavy-Duty Spark-Ignition Engine Fuelled with Liquefied Methane Gas and Hydrogen Blend.” Applied Thermal Engineering 124: 585-594. DOI: https://doi.org/10.1016/j.applthermaleng.2017.06.067.
  • 18. Liu Jinlong, Cosmin E. Dumitrescu. 2018. “3D CFD Simulation of a CI Engine Converted to Si Natural Gas Operation Using the G-Equation.” Fuel 232: 833-844. DOI: https://doi.org/10.1016/j.fuel.2018.05.159.
  • 19. Lu Q., T. Tettamanti. 2021. “Impacts of Connected and Automated Vehicles on Freeway with Increased Speed Limit.” International Journal of Simulation Modelling 20(3): 453-464. DOI: https://doi.org/10.2507/ijsimm20-3-556.
  • 20. Ojstersek Robert, et al. 2020. “Simulation Study of a Flexible Manufacturing System Regarding Sustainability.” International Journal of Simulation Modelling 19(1): 65-76. DOI: https://doi.org/10.2507/ijsimm19-1-502.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9bb83ac4-50b0-4985-bc34-8a8031708f64
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