PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Design optimization for the weight reduction of 2-cylinder reciprocating compressor crankshaft

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study aims to optimize the 2-cylinder in-line reciprocating compressor crankshaft. As the crankshaft is considered the "bulkiest" component of the reciprocating compressor, its weight reduction is the focus of current research for improved performance and lower cost. Therefore, achieving a lightweight crankshaft without compromising the mechanical properties is the core objective of this study. Computational analysis for the crankshaft design optimization was performed in the following steps: kinematic analysis, static analysis, fatigue analysis, topology analysis, and dynamic modal analysis. Material retention by employing topology optimization resulted in a significant amount of weight reduction. A weight reduction of approximately 13% of the original crankshaft was achieved. At the same time, design optimization results demonstrate improvement in the mechanical properties due to better stress concentration and distribution on the crankshaft. In addition, material retention would also contribute to the material cost reduction of the crankshaft. The exact 3D model of the optimized crankshaft with complete design features is the main outcome of this research. The optimization and stress analysis methodology developed in this study can be used in broader fields such as reciprocating compressors/engines, structures, piping, and aerospace industries.
Rocznik
Strony
449--471
Opis fizyczny
Bibliogr. 29 poz., rys., tab., wykr.
Twórcy
autor
  • Institute of Aeronautics, Faculty of Mechanical Engineering, Transport and Aeronautics, Riga Technical University, Latvia
autor
  • Institute of Mechanics and Mechanical Engineering, Faculty of Mechanical Engineering, Transport and Aeronautics, Riga Technical University, Latvia
  • Institute of Aeronautics, Faculty of Mechanical Engineering, Transport and Aeronautics, Riga Technical University, Latvia
  • Institute of Aeronautics, Faculty of Mechanical Engineering, Transport and Aeronautics, Riga Technical University, Latvia
Bibliografia
  • [1] Z.P. Mourelatos. A crankshaft system model for structural dynamic analysis of internal combustion engines. Computers & Structures, 79(20-21):2009–2027, 2001. doi: 10.1016/S0045-7949(01)00119-5.
  • [2] A.P. Druschitz, D.C. Fitzgerald, and I. Hoegfeldt. Lightweight crankshafts. SAE Technical Paper 2006-01-0016, 2006. doi: 10.4271/2006-01-0016.
  • [3] K. Mizoue, Y. Kawahito, and K. Mizogawa. Development of hollow crankshaft. Honda R&D Technical Review 2009, pages 243–245, 2009.
  • [4] I. Papadimitriou and K. Track. Lightweight potential of crankshafts with hollow design. MTZ Worldwide, 79:42–45, 2018. doi: 10.1007/s38313-017-0140-8.
  • [5] M. Roeper and S. Reinsch. Hydroforging: a new manufacturing technology for forged lightweight products of aluminum. Proceedings of the ASME 2005 International Mechanical Engineering Congress and Exposition. Manufacturing Engineering and Materials Handling, Parts A and B, pages 297-304. Orlando, Florida, USA, November 5–11, 2005. doi: 10.1115/IMECE2005-80424.
  • [6] J. Lampinen. Cam shape optimization by genetic algorithm. Computer-Aided Design, 35(8):727–737. doi: 10.1016/S0010-4485(03)00004-6.
  • [7] A. Albers, N. Leon, H. Aguayo, and T. Maier. Multi-objective system optimization of engine crankshafts using an integration approach. Proceedings of the ASME 2008 International Mechanical Engineering Congress and Exposition. Volume 14: New Developments in Simulation Methods and Software for Engineering Applications, pages 101–109. Boston, Massachusetts, USA. October 31–November 6, 2008. doi: 10.1115/IMECE2008-67447.
  • [8] J.P. Henry, J. Topolsky, and M. Abramczuk. Crankshaft durability prediction – a new 3-D approach. SAE Technical Paper 920087, 1992. doi: 10.4271/920087.
  • [9] M. Guagliano, A. Terranova, and L. Vergani. Theoretical and experimental study of the stress concentration factor in diesel engine crankshafts. Journal of Mechanical Design, 115(1):47–52, 1993. doi: 10.1115/1.2919323.
  • [10] A.C.C. Borges, L.C. Oliveira, and P.S. Neto. Stress distribution in a crankshaft crank using a geometrically restricted finite element model. SAE Technical Paper 2002-01-2183, 2002. doi: 10.4271/2002-01-2183.
  • [11] D. Taylor, W. Zhou, A.J. Ciepalowicz, and J. Devlukia. Mixed-mode fatigue from stress concentrations: an approach based on equivalent stress intensity. International Journal of Fatigue, 21(2):173–178, 1999. doi: 10.1016/S0142-1123(98)00066-8.
  • [12] W. Li, Q. Yan, and J. Xue. Analysis of a crankshaft fatigue failure. Engineering Failure Analysis, 55:13-9-147, 2015. doi: 10.1016/j.engfailanal.2015.05.013.
  • [13] R.M. Metkar, V.K. Sunnapwar, and S.D. Hiwase. Comparative evaluation of fatigue assessment techniques on a forged steel crankshaft of a single cylinder diesel engine. Proceedings of the ASME 2012 International Mechanical Engineering Congress and Exposition. Volume 3: Design, Materials and Manufacturing, Parts A, B, and C, pages 601–609. Houston, Texas, USA, November 9–15, 2012. doi: 10.1115/IMECE2012-85493.
  • [14] Y. Shi, L. Dong, H.Wang, G. Li, and S. Liu. Fatigue features study on the crankshaft material of 42CrMo steel using acoustic emission. Frontiers of Mechanical Engineering, 11(3):233–241, 2016. doi: 10.1007/s11465-016-0400-3.
  • [15] J. Yao and J. Zhang. A modal analysis for vehicle’s crankshaft. 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference, pages 300–303, 2017. doi: 10.1109/ITOEC.2017.8122303.
  • [16] A.S. Mendes, E. Kanpolat, and R. Rauschen. Crankcase and crankshaft coupled structural analysis based on hybrid dynamic simulation. SAE International Journal of Engines, 6(4):2044– 2053, 2013. doi: 10.4271/2013-01-9047.
  • [17] B. Yu, Q. Feng, and X. Yu. Dynamic simulation and stress analysis for reciprocating compressor crankshaft. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 227(4):845–851, 2013. doi: 10.1177/0954406212453523.
  • [18] A. Arshad, S. Samarasinghe, M.A.F. Ameer, and A. Urbahs. A simplified design approach for high-speed wind tunnels. Part I: Table of inclination. Journal of Mechanical Science and Technology, 34(6):2455–2468, 2020. doi: 10.1007/s12206-020-0521-9.
  • [19] A. Arshad, S. Samarasinghe, and V. Kovalcuks. A simplified design approach for high-speed wind tunnels. Part-I.I: Optimized design of settling chamber and inlet nozzle. 2020 11th International Conference on Mechanical and Aerospace Engineering (ICMAE), pages 150–154, 2020. doi: 10.1109/ICMAE50897.2020.9178865.
  • [20] A. Arshad, M.A.F. Ameer, and O. Kovzels. A simplified design approach for high-speed wind tunnels. Part II: Diffuser optimization and complete duct design. Journal of Mechanical Science and Technology, 35(7):2949–2960, 2021. doi: 10.1007/s12206-021-0618-9.
  • [21] A. Arshad, N. Andrew, and I. Blumbergs. Computational study of noise reduction in CFM56-5B using core nozzle chevrons. 2020 11th International Conference on Mechanical and Aerospace Engineering (ICMAE), pages 162-167, 2020. doi: 10.1109/ICMAE50897.2020.9178891.
  • [22] A. Arshad, L.B. Rodrigues, and I.M. López. Design optimization and investigation of aerodynamic characteristics of low Reynolds number airfoils. International Journal of Aeronautical and Space Sciences, 22:751–764, 2021. doi: 10.1007/s42405-021-00362-2.
  • [23] A. Arshad, A.J. Kallungal and A.E.E.E. Elmenshawy. Stability analysis for a concept design of Vertical Take-Off and Landing (VTOL) Unmanned Aerial Vehicle (UAV). 2021 International Conference on Military Technologies (ICMT), pages 1–6, 2021. doi: 10.1109/ICMT52455.2021.9502764.
  • [24] RanTong official database for the ZW-0.8/10-16 reciprocating compressor specifications, online resources.
  • [25] F. Rodriges Minucci, A.A. dos Santos, and R.A. Lime e Silva. Comparison of multiaxial fatigue criteria to evaluate the life of crankshafts. Proceedings of the ASME 2010 International Mechanical Engineering Congress and Exposition. Volume 11: New Developments in Simulation Methods and Software for Engineering Applications; Safety Engineering, Risk Analysis and Reliability Methods; Transportation Systems, pages 775–784. Vancouver, British Columbia, Canada. November 12–18, 2010. doi: 10.1115/IMECE2010-39018.
  • [26] Y.F. Sun, H.B. Qiu, L. Gao, K. Lin, and X.Z. Chu. Stochastic response surface method based on weighted regression and its application to fatigue reliability analysis of crankshaft. Proceedings of the ASME 2009 International Mechanical Engineering Congress and Exposition. Volume 13: New Developments in Simulation Methods and Software for Engineering Applications; Safety Engineering, Risk Analysis and Reliability Methods; Transportation Systems, pages 263-268. Lake Buena Vista, Florida, USA. November 13–19, 2009. doi: 10.1115/IMECE2009-11095.
  • [27] Y. Gorash, T. Comlekci, and D.MacKenzie. Comparative study of FE-models and material data for fatigue life assessments of welded thin-walled cross-beam connections. Procedia Engineering, 133:420–432, 2015. doi: 10.1016/j.proeng.2015.12.612.
  • [28] C. Cevik and E. Kanpolat. Achieving optimum crankshaft design – I. SAE Technical Paper 2014-01-0930, 2014. doi: 10.4271/2014-01-0930.
  • [29] G. Mu, F.Wang, and X. Mi. Optimum design on structural parameters of reciprocating refrigeration compressor crankshaft. Proceedings of the 2016 International Congress on Computation Algorithms in Engineering, pages 281–286, 2016. doi: 10.12783/dtcse/iccae2016/7204.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-08fea0fc-eaa4-4284-9f8c-d790060310e3
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.