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Tytuł artykułu

Development of a method for finding the optimal solution when upgrading a motorcycle engine

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper describes a method for finding the optimal parameters of a spark-ignition engine gas exchange system for a motorcycle. The vectors of the initial data for filling the parameter space, in which the search for the optimal solution has been made, have been formed through methods of experiment planning and technique nonlinear programming quadratic line search. As the quality criteria, the engine power has been used at selected points of the external speed characteristic. The results of the work have shown how using the proposed optimization method allows modernization of a gas exchange systems in order to increase the engine power.
Rocznik
Tom
Strony
135--149
Opis fizyczny
Bibliogr. 21 poz., rys., tab., wykr., zdj.
Twórcy
  • Katedra Budowy, Eksploatacji Pojazdów i Maszyn, Uniwersytet Warmińsko-Mazurski w Olsztynie, ul. Oczapowskiego 11, 10-710 Olsztyn
  • Department of Vehicle and Machine Construction and Operation, University of Warmia and Mazury in Olsztyn
Bibliografia
  • Alessandro R., Marco T. 2014. Dynamic analysis of a motorbike engine timing system: Experimental and numerical investigation of the geartrain. Mechanical Systems and Signal Processing, 48(1-2): 325-338.
  • Blair G.P., Mackey D.O., Ashe M.C., Chatfield, G.F. 2003. Exhaust Tuning on A Four-Stroke Engine: Experimentation and Simulation. SAE Trasaction, American Technical Publishers LTD, 112: 22-34.
  • Brannen D.E., Miller J.R., Ibrahim N.A. 2012. Harley-Davidson. Inc. Journal of Applied Case Research. 10(1).
  • Czyzak P., Jaszkiewicz A. 1998. Pareto simulated annealing – A metaheuristic technique for multipleobjective combinatorial optimization. Journal of Multi-Criteria Decision Analysis, 7(1): 34-47.
  • Deshmukh D., Kumar R., Garg M., Nayeem M.J., Lakshminarasimhan V. 2004. Optimisation of Gas Exchange Process on a Single Cylinder Small 4-Stroke Engine by Intake and Exhaust Tuning: Experimentation and Simulatio. SAE Trasaction, American Technical Publishers LTD, 113: 1741-1749.
  • Harrison M.F., Dunkley A. 2004. The acoustics of racing engine intake systems. Journal of Sound and Vibration, 271: 959–984.
  • HD Manual. 2015.
  • Heywood J.B. 1988. Internal Combustion Engines Fundamentals. McGraw-Hill Book Co., Singapore.
  • Jawad B.A., Lounsbery A.L., Hoste J.P. 2001. Evolution of Intake Design for a Small Engine Formula Vehicle. SAE Trasaction, American Technical Publishers LTD, 110: 1318-1325.
  • Mackey D.O., Crandall J.G., Chatfield G.F., Ashe M.C. 2002. Optimization of Exhaust-Pipe Tuning on a 4-Stroke Engine Using Simulation. SAE Trasaction, American Technical Publishers LTD, 111: 242-255.
  • Ross P.J. 1998. Taguchi Techniques for Quality Engineering. McGraw-Hill, New York.
  • Rubinstein R.Y., Kroese D.P. 2008. Simulation and the Monte Carlo Method. Second Edition. J. Wiley & Sons Inc., New York.
  • Schittkowski K. 1986. NLPQL: A Fortran subroutine for solving constrained nonlinear programming problems. Annals of Operations Research, 5(2): 485–500.
  • Schittkowski K. 2011. A robust implementation of a sequential quadratic programming algorithm with successive error restoration. Optimization Letters, 5(2): 283-296. http://dx.doi.org/10.1007/s11590-010-0207-9.
  • Shih C.-J., Yeh C.-N., Chang T.-H. 2012. Experimental Optimization and Analysis of Intake and Exhaust Pipeline for Small Engine Motorcycle. Journal of Applied Science and Engineering, 15(1): 21-30.
  • Shlomo M., Shaul M. 2011. Applications of Monte Carlo Method in Science and Engineering. Published by InTech, Rijeka, Croatia.
  • Stelios D.G, Stella S., Manohar A. 2014. A class of composite designs for response surface methodology. Computational Statistics & Data Analysis, 71: 1124-1133.
  • Syahrullah L.O.I., Sinaga N. 2016. Optimization and Prediction of Motorcycle Injection System Performance with Feed-Forward Back-Propagation Method Artificial Neural Network (ANN). American Journal of Engineering and Applied Sciences, 9(2): 222-235. doi: 10.3844/ajeassp.2016.222.235.
  • Wang J., Ma Y., Ouyang L., Tu Y. 2016. A new Bayesian approach to multi-response surface optimization integrating loss function with posterior probability. European Journal of Operational Research, 249(1): 231-237.
  • Yongfan L., Shuai Z., Jing W. 2017. Research on the Optimization Design of Motorcycle Engine Based on DOE Methodology. Procedia Engineering, 174: 740-747. https://doi.org/10.1016/j.proeng.2017.01.216.
  • Zhao F. 2011. A review of research about variable intake manifold. Machinery, Materials Science and Engineering Applications, 228: 299-302.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-653716b8-e1b2-4455-b772-8490ed806ed6
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