CRANK-PISTON MODEL OF INTERNAL COMBUSTION ENGINE USING CAD/CAM/CAE IN THE MSC ADAMS
Michał BIAŁY
m.bialy@pollub.plDepartment of Thermodynamics, Fluid Mechanics and Aviation Propulsion Systems, Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka Street 36, 20-618 Lublin (Poland)
Marcin SZLACHETKA
Department of Mechanics and Mechanical Engineering, Faculty of Economic Sciences and Technology, The Pope John Paul II State School Of Higher Education in Biala Podlaska, Sidorska Street 95, 21-500 Biala-Podlaska (Poland)
Abstract
The article presents the modeling and simulation of the crank-piston model of internal combustion engine. The object of the research was the engine of the vehicle from the B segment. The individual elements of the gasoline engine were digitizing using the process of reverse engineering. After converting the geometry, assembling was imported to MSC Adams software. The crank-piston system was specified by boundary conditions of piston forces applied on the pistons crowns. This force was obtain from the cylinder pressure recorded during the tests, that were carried out on a chassis dynamometer. The simulation studies allowed t determine the load distribution in a dynamic state for the selected kinematic pairs.
Keywords:
CAD/CAM/CAE, reverse engineering, the internal combustion engineReferences
Apanowicz, J. (2002). Metodologia Ogólna. Gdynia: Wydawnictwo Diecezji IV pińskiej „BERNARDINIUM”.
Google Scholar
Balyakin, V., & Kosenok, B. (2015). Study of the Dynamic Characteristics of a Two-Cylinder Internal Combustion Engine Using Vector Model. Procedia Engineering, 106, 183–191. https://doi.org/10.1016/j.proeng.2015.06.023
DOI: https://doi.org/10.1016/j.proeng.2015.06.023
Google Scholar
Basic ADAMS Full Simulation Training Guide (2001). Version 11.0 part number 110viewtr-03. Mechanical Dynamics, Incorporated Biały, M., Wendeker, M., Szlachetka, M., & Magryta, P. (2013). Knocking combustion influence on the load of the piston-crank system using MSC ADAMS software. Combustion Engines, 52(3), 421–427.
Google Scholar
Bukovan, J., Jakubovicova, L., Sapieta, M., & Sapietova, A. (2017). Analysis and implementation of input load effects on an air compressor piston in MSC.ADAMS. Procedia Engineering, 177, 554-561. https://doi.org/10.1016/j.proeng.2017.02.260
DOI: https://doi.org/10.1016/j.proeng.2017.02.260
Google Scholar
Chang, K.-H., (2014). Assembly Modeling. Chapter 4. In Product Design Modeling Using CAD/CAE (pp. 169–232). Boston: Academic Press. https://doi.org/10.1016/B978-0-12-398513-2.00004-X
DOI: https://doi.org/10.1016/B978-0-12-398513-2.00004-X
Google Scholar
Czyż, Z., & Magryta, P. (2016). Analysis of the operating load of foil-air bearings in the gas generator of the turbine engine during the acceleration and deceleration maneuver. Eksploatacja i Niezawodnosc – Maintenance and Reliability, 18(4), 507–513. https://doi.org/10.17531/ein.2016.4.5.
DOI: https://doi.org/10.17531/ein.2016.4.5
Google Scholar
Czyż, Z., Kayumov, R., & Montusiewicz, J. (2015). Selected methods of making threedimensional virtual models of museum ceramic objects. Applied Computer Science, 11(1), 51–65.
Google Scholar
Gmpowertrain. (n.d.). Retrieved February 2, 2017, from Gmpowertrain website http://gmpowertrain.com
Google Scholar
Hroncová, D., Binda, M., Šargaa, P., & Kicák, F. (2012). Kinematical analysis of crank slider mechanism using MSC Adams/View. Procedia Engineering, 48, 213–222. https://doi.org/10.1016/j.proeng.2012.09.507
DOI: https://doi.org/10.1016/j.proeng.2012.09.507
Google Scholar
Ionescu, F. (2007). Modelling and simulation in mechatronics. IFAC Proceedings Volumes, 40(18), 301–312. https://doi.org/10.3182/20070927-4-RO-3905.00051
DOI: https://doi.org/10.3182/20070927-4-RO-3905.00051
Google Scholar
Kolator, B., & Janulin, M. (2014). Wyznaczanie stanów trakcyjnych pojazdu za pomocą hamowni podwoziowej LPS 3000. Studies & Proceedings of Polish Association for Knowledge Management, 139–150.
Google Scholar
MSC Software. (n.d.). Retrieved February 2, 2017, from MSC Software website http://www.mscsoftware.com
Google Scholar
Opel diagnostyka. (n.d.). Retrieved February 2, 2017, from Opel website https://opel2015.wordpress.com
Google Scholar
Stojanovic, B., & Glisovic, J. (2016). Automotive Engine Materials. In Reference Module in Materials Science and Materials Engineering. Elsevier.
DOI: https://doi.org/10.1016/B978-0-12-803581-8.01946-9
Google Scholar
Sun, Z., & Zhang, C. (2017). Trajectory-based combustion control for renewable fuels in free piston engines. Applied Energy, 187, 72-83. https://doi.org/10.1016/j.apenergy.2016.11.045
DOI: https://doi.org/10.1016/j.apenergy.2016.11.045
Google Scholar
Tomić, R., Sjerić, M., & Lulić, Z. (2012). The optimization of crankshaft offset of spark ignition engine. Journal of Trends in the Development of Machinery and Associated Technology, 16(1), 211–214.
Google Scholar
Troncossi, M., Ricci, R., & Rivola A. (2011). Model Reduction of the Flexible Rotating Crankshaft of a Motorcycle Engine Cranktrain. International Journal of Rotating Machinery, 2011, Article ID 143523, 9 pages. https://doi.org/10.1155/2011/143523
DOI: https://doi.org/10.1155/2011/143523
Google Scholar
Wendeker, M., & Czyż, Z. (2016). Analysis of the bearing nodes loads of turbine engine at an unmanned helicopter during a jump up and jump down maneuver. Eksploatacja i Niezawodnosc – Maintenance and Reliability, 18(1), 89–97. https://doi.org/10.17531/ein.2016.1.12
DOI: https://doi.org/10.17531/ein.2016.1.12
Google Scholar
Zhenga, E., & Zhou, X. (2014). Modeling and simulation of flexible slider-crank mechanism with clearance for a closed high speed press system. Mechanism and Machine Theory, 74, 10-30. https://doi.org/10.1016/j.mechmachtheory.2013.11.015
DOI: https://doi.org/10.1016/j.mechmachtheory.2013.11.015
Google Scholar
Authors
Michał BIAŁYm.bialy@pollub.pl
Department of Thermodynamics, Fluid Mechanics and Aviation Propulsion Systems, Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka Street 36, 20-618 Lublin Poland
Authors
Marcin SZLACHETKADepartment of Mechanics and Mechanical Engineering, Faculty of Economic Sciences and Technology, The Pope John Paul II State School Of Higher Education in Biala Podlaska, Sidorska Street 95, 21-500 Biala-Podlaska Poland
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