Fatigue Life Analysis of the Propeller Shafting System of a VLCC Ship Powertrain System Using Finite Element or Distributed-Lumped Methods

Journal of Solid Mechanics

مقاله 4، دوره 14، شماره 2، شهریور 2022، صفحه 171-189   

نوع مقاله: Research Paper

شناسه دیجیتال (DOI): 10.22034/jsm.2021.1924081.1683

نویسندگان

A Gholami¹؛ S. A Jazayeri^{* 2}؛ Q Esmaili³

¹Department of Mechanical Engineering, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran

²Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran

³School of Engineering Technology, University of Special Modern Technologies, Amol, Iran

چکیده

In this study, the dynamic behavior of the propulsion system of a VLCC (Very Large Crude oil Carrier) ship is investigated using a multi-input multi-output model. In this system the engine ordered speed and the number of active cylinders are assumed as inputs and the dynamic parameters of the engine such as torque and speed are considered as outputs. In this research, the effects of sea wave and wind on the system dynamic behavior have been investigated. In addition, the ship powertrain system is investigated in which the intermediate shaft and propeller shaft are analyzed using lumped parameter method, finite element method, distributed-lumped method and the results of these modeling techniques are compared to the modeling results in which the connecting shafts were considered as rigid body. Comparison of the results shows that there are significant differences between the results of rigid body method and other three types of system modeling. On the other hand, the time required to run the distributed-lumped model is much shorter compared to other methods that are considered in the study for the dynamic behavior of the ship's powertrain systems. On the other hand, the fatigue analysis of the ship power transmission shafts shows that the fatigue life assessment of these shafts is of great importance and should be considered in the design phase. 

کلیدواژه‌ها

Ship propulsion system modeling؛ Distributed-Lumped؛ Fatigue analysis؛ MVEM (Mean Value Engine Model)؛ Finite element

مراجع

1. IMO., 2011, Air Pollution and Energy Efficiency-Estimated CO2 Emissions Reduction From Introduction of Mandatory Technical and Operational Energy Efficiency Measures for Ships, International Maritime Organization, London.
2. IMO.,  2018, Initial IMO GHG Strategy, International Maritime Organization, London.
3.  Nakamura S., Naito S., 1975, Propulsive performance of a container ship in waves, Journal of the Society of Naval Architects of Japan 15: 24-48.
4.  Amini H., 2011, Azimuth propulsors in off-design conditions, NTNU 186: 1503.
5.  Faltinsen O.M., Minsaas K.J., Liapis N., Skjordal S.O., 1980, Prediction of resistance and propulsion of a ship in a seaway, Proceedings of the 13th Symposium on Naval Hydrodynamics.
6.  Ueno M., Tsukada Y., Tanizawa K., 2013, Estimation and prediction of effective inflow velocity to propeller in waves, Journal of Marine Science and Technology 18(3): 339-348.
7.  Guo B.J., Steen S., Deng G.B., 2012, Seakeeping prediction of KVLCC2 in head waves with RANS, Apple Ocean Research 35(0): 56-67.
8.  Taskar B., Yum K.K., Steen S., Pedersen E., 2016, The effect of waves on engine-propeller dynamics and propulsion performance of ships, Ocean Engineering122: 262-277.
9.  Kayano J., Yabuki H., Sasaki N., Hiwatashi R., 2013, A study on the propulsion performance in the actual sea by means of full-scale experiments, TransNav, The International Journalon Marine Navigation and Safety of Sea Transportation 7(4): 521-526.
10.  Larroude V., Chenouard R., Yvars A., Millet D., 2013, Constraint based approach for the steady-state simulation of complex systems: Application to ship control, Engineering Applications of Artificial Intelligence 26: 499-514.
11.  Kyrtatos N.P., Theodossopoulos P., Theotokatos G., Xiros N., 1999, Simulation of the overall ship propulsion plant for performance prediction and control, Proceedings of the Conference on Advanced Marine Machinery Systems with Low Pollution and High Efficiency.
12.  Scappin F., Stefansson S.H., Haglind F., Andreasen A., Larsen U., 2012, Validation of a zero- dimensional model for prediction of NOx and engine performance for electronically controlled marine two stroke diesel engines, Applied Thermal Engineering 37: 344-352.
13.  Yum K.K., Taskar B., Pedersen E., Steen S., 2017, Simulation of a two-stroke diesel engine for propulsion in waves, International Journal of Naval Architecture and Ocean Engineering 9(4): 351-372.
14.  Bazari Z., 1994, Diesel Exhaust Emissions Prediction under Transient Operating Conditions, International Congress & Exposition 103: 940666.
15.  Theotokatos G., Tzelepis V., 2015, A computational study on the performance and emission parameters mapping of a ship propulsion system, Proceedings of the Institution of Mechanical Engineers, Part M : Journal of Engineering for the Maritime Environment 229: 58-76.
16.  Rao S.S., 2010, Mechanical Vibrations, Pearson Education, Inc., Publishing as Prentice Hall.
17.  Nelson D., McVaugh J.M., 1976, The dynamics of rotor-bearing systems using finite elements, Journal of Engineering for Industry 98: 593-600.
18.  Murawski L., Charchalis A., 2014, Simplified method of torsional vibration calculation of marine power transmission system, Marine Structures 39: 335-349.
19.  Chahr-Eddine K., Yassine A., 2014, Forced axial and torsional vibrations of a shaft line using the transfer matrix method related to solution coefficients, Journalof Marine Science and Application 13: 200-205.
20.  Huang Q., Zhang C., Jin Y., Yuan C., Yan X., 2015, Vibration analysis of marine propulsion shafting by the
    coupled finite element method, Journal of Vibroengineering 17: 3392-3403.
21.  Jang M.O., Kim U.K., Park Y.N., Lee Y.J., 2004, A study on the coupled torsional-axial vibration of marine
    propulsion shafting system using the energy method, Journal ofthe Korean Society for Marine Environment & Energy 28: 482-492.
22.  Yang Y., Che C., Tang W., 2014, Shafting coupled vibration research based on wave approach, Journal of Shanghai Jiaotong University (Science) 19: 325-336.
23.  Huang Q., Liu H., Cao J., 2019, Investigation of lumped-mass method on coupled torsional-longitudinal vibrations for a marine propulsion shaft with impact factors, Journal of Marine Scienceand Engineering 7: 95.
24.  Grzadziela A., 2008, Modelling of propeller shaft dynamics at pulse load, Polish Maritime Research 15(4): 52-58.
25.  Kluczyk M., Grzadziela A., 2017,Vibration diagnostics of the naval propulsion systems, Scientific Journal of Polish Naval Academy 1(208): 15-29.
26.  Xiros N., 2002, Robust Control of Diesel Ship Propulsion, Springer.
27.  Heywood J.B., 1988, Internal Combustion Engines Fundamentals, McGraw-Hill, New York.
28.  Carlton J.S., 2007, Marine Propellers and Propulsion, Butterworth-Heinemann, Oxford, UK.
29.  Minsaas K., Faltinsen O.M., Persson B., 1983, On the importance of added resistance, propeller immersion and propeller ventilation for large ships in a seaway, Proceedings of the 2nd International Symposium on Practical Design in Shipbuilding, Tokyo & Seoul.
30.  Holtrop J., Mennen G., 1982, An approximate power prediction method, International Shipbuilding Progress 329: 166-170.
31. Liu S., Shang B., Papanikolaou A., 2019, On the resistance and speed loss of full type ships in a seaway, Ship Technology research (Schiffstechnik) 66(3): 163-181.
32.  Liu S., Papanikolaou A., 2017, Approximation of the added resistance of ships with small draft or in Ballast condition by empirical formula, Proceedings of the Institution of Mechanical Engineers - Part M, Journal of Engineering for the Maritime Environment 231: 1-14.
33.  International Towing Tank Conference-Recommended Procedures and Guidelines, Analysis of Speed/Power Trial Data, 7.5-04-01-01.2, Effective Date 2014, Revision 01.
34.  Dalian Shipbuilding Industry Co.,Ltd (DSIC), QMD Technical Analysis & Support, Torsional Vibration Calculation, Calculation No. : DTA-TV-C-R-0014b.
35.  Yasukawa H., Zaky M., Yonemasu I., Miyake R., 2017, Effect of engine output on maneuverability of a VLCC in still water and adverse weather conditions, Journal of Marine Science and Technology 22: 574-586.
36.  Safaei A.A., Ghassemi H., Ghiasi M., 2018, Correcting and enriching vessel’s noon report data using statistical and data mining methods, European Transport TrasportiEuropei 67: 1-13.
37.  Whalley R., 1990, Interconnected spatially distributed systems, Transactions of the Institute of Measurement and Control 12(5): 262-270.
38.  Whalley R., Bartlett H., Ebrahimi M., 1997, Analytical solution of distributed–lumped parameter network models. Proceedings of the Institution of Mechanical Engineers - Part I, Journal of Systems and Control Engineering 211(I3): 203-218.
39.  Gholami A., Jazayeri S.A., Esmaili Q., 2020, Marine powertrain simulation for design and operational performance evaluation, International Journal of Powertrains 9(4): 289-314.
40.  International Towing Tank Conference-Recommended Procedures and Guidelines, Preparation Conduct and Analysis of Speed/Power Trials, 7.5-04-01-01.1, Effective Date, Revision 05.
41.  Kim Y.D., Lee C.W., 1986, Finite element analysis of rotor bearing systems using a modal transformation matrix, Journal of Sound and Vibration 111(3): 441-456.
42.  Ganta G., 2005, Dynamics of Rotating Systems, Springer, NY.
43.  DNVGL-CG-0038-Class Guideline - Calculation of Shafts in Marine Applications, Høvik, Norway.