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Modelling characteristics of spark ignition engine injection system

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Języki publikacji
EN
Abstrakty
EN
The carried out modelling of SI engine injection system characteristics in various steady-state conditions has been presented in the article. Also, the two ways of determining injection time have been shown: by means of a virtual model made with the use of software worked out by National Instruments LabVIEW and on the experimental test stand ‘’Integrated injection-ignition system of the K16 engine”.
Słowa kluczowe
Twórcy
  • Lublin University of Technology, Faculty of Mechanical Engineering, Nadbystrzycka Street 36, 20-618 Lublin, Poland
autor
  • Lublin University of Technology, Faculty of Mechanical Engineering, Nadbystrzycka Street 36, 20-618 Lublin, Poland
autor
  • Lublin University of Technology, Faculty of Mechanical Engineering, Nadbystrzycka Street 36, 20-618 Lublin, Poland
autor
  • Lublin University of Technology, Faculty of Mechanical Engineering, Nadbystrzycka Street 36, 20-618 Lublin, Poland
Bibliografia
  • 1. Adamiec M. and Dziubiński M. Alkaline fuel cell - aspect of efficiency. Przegląd Elektrotechniczny, 4, 2009.
  • 2. Andrianov D., Manzie C. and Brear M. Spark ignition engine control strategies for minimising cold start fuel consumption under cumulative tailpipe emissions constraints. Control Engineering Practice, 21(8), 2013, 1007–1019.
  • 3. Boguta A. and Styła S. The graphic programming using simulation in the SI and CI engine management system. Autobusy. Technika, Eksploatacja, Systemy Transportowe, 2013, 3, 947-950.
  • 4. Dziubiński M., Drozd A., Adamiec M. and Siemionek E. Electromagnetic interference in electrical systems of motor vehicles. Materials Science and Engineering. IOP Conference Series, 148, 2016.
  • 5. Dziubiński M., Drozd A., Adamiec M. and Siemionek E. Energy balance in motor vehicles. Materials Science and Engineering. IOP Conference Series, 148, 2016.
  • 6. Dziubiński M. Ecological aspect of electronic ignition and electronic injection system. Environment engineering V. CRC Press Taylor and Francis Group, 2016, 299-304.
  • 7. Dziubiński M. Testing of exhaust emissions of vehicles combustion engines. Environment engineering V. CRC Press Taylor and Francis Group, 2016, 305-310.
  • 8. Issermann R. Model-based fault-detection and diagnosis – status and applications. Annual Reviews in Control, 29(1), 2005, s.71-75.
  • 9. Nouraei H., Ben-Mrad R. and Sinclair A. Development of a Piezoelectric Fuel Injector. IEEE Transactions on Vehicular Technology, 99, 2015, 1-8.
  • 10. Nyberg M. and Frisk E. A derivation of the minimal polynominal basis approach to linear residual generation. Journal of Automatica, 37(9), 2001, 1417-1424.
  • 11. Patton R. and Chen J. Design methods for robust fault diagnosis. Control system Robotics and Automation, 26, 2005.
  • 12. Patton R., Uppal F. and Lopez-Toribio J. Soft Computing Approaches To Fault Diagnosis For Dynamic Systems: A Survey Proc. of 4th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, Budapest, Hungary 2000, 298-311.
  • 13. Payri R., Salvador F., Manin J. and Viera A. Diesel ignition delay and lift-off length through different methodologies using a multi-hole injector. Applied Energy, 162(15), 2016, 541-550.
  • 14. Wang Z., Ding H., Ma X., Xu H. and Wyszynski M. Ultra-high speed imaging study of the diesel spray close to the injector tip at the initial opening stage with split injection. Applied Energy, 163, 2016, 105-117.
  • 15. Yang B., Xi Ch., Wei X., Zeng K. and Chia Lai M. Parametric investigation of natural gas port injection and diesel pilot injection on the combustion and emissions of a turbocharged common rail dual-fuel engine at low load. Applied Energy, 143, 2015, 130-137.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1d71aafd-4ed5-4cf4-ad61-0b16f9e2b5f3
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