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A novel methodology for the use of engine simulators as a tool in academic studies

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Abstract

The impact of digitalization on the maritime industry is increasing day by day. In this sense, realistic engine room simulators (ERS), which fulfill the requirements of the International Maritime Organization, are getting more important and frequently used in the field of maritime education and training. Besides, it is observed that there is an increase in ERS usage in experimental academic studies because opportunities for realizing critical and risky operations on real marine vessels in the ERS and determining the effects of failures through simulations encourage researchers. However, there is uncertainty about the method followed in ERS-based studies since the use of the ERS varies at the discretion of each author. In this study, a novel methodology is proposed to eliminate the uncertainty and provide standardization of engine simulators as a tool in academic studies. Real ship machinery operations, simulator specifications, scientific methods, instructor and operator interventions are utilized in this methodology framework. To prove the effectiveness of the methodology, a two-stroke MAN B&W 6S50 MC-C marine diesel engine turbocharger (TC) exhaust side fouling effects are analyzed. In addition, the validation of the application conducted by the proposed methodology is carried out by consulting experts with marine experience during the design and evaluation of the application. Thus, it is aimed to obtain more realistic and reliable data through a systematically designed simulation process.

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References

  1. Sendi Y (2015) Integrated Maritime Simulation Complex Management, Quality And Training Effectiveness From The Perspective Of Modeling And Simulation In The State Of Florida, USA (A Case Study). University of Central Florida

    Google Scholar 

  2. Banks C, Turan O, Incecik A, Lazakis I, Lu R (2014) Seafarers’ current awareness, knowledge, motivation and ideas towards Low Carbon—Energy Efficient operations. J Shipp Ocean Eng 4:93–109

    Google Scholar 

  3. Jensen S, Lützen M, Mikkelsen LL, Rasmussen HB, Pedersen PV, Schamby P (2018) Energy-efficient operational training in a ship bridge simulator. J Clean Prod 171:175–183. https://doi.org/10.1016/j.jclepro.2017.10.026

    Article  Google Scholar 

  4. IMO (1978) International Convention on Standards of Training, Certification and Watchkeeping for Seafarers (STCW). London, UK.

  5. Kongsberg Maritime (2021) K-Sim® Engine - Engine Room Simulator. https://www.kongsberg.com/digital/models-and-examples/k-sim-engine-models/sulzer-rta-container-vessel

  6. Wartsila Transas (2022) ERS 5000 Engine Room Simulator. https://www.transas.com/products/simulation/engine-room-and-cargo-handling-simulators/ERS5000

  7. Ali A (2006) Simulator instructor—STCW requirements and reality. Malmö, Sweden

    Google Scholar 

  8. Chybowski L, Gawdzińska K, Ślesicki O, Patejuk K, Nowosad G (2015) An engine room simulator as an educational tool for marine engineers relating to explosion and fire prevention of marine diesel engines. Sci J Marit Univ Szczecin Zesz Nauk Akad Morskiej w Szczecinie 43:15–21. https://doi.org/10.17402/034

    Article  Google Scholar 

  9. Laskowski R, Chybowski L, Katarzyna G (2015) An engine room simulator as a tool for environmental education of marine engineers. Adv Intell Syst Comput 354:311–322. https://doi.org/10.1007/978-3-319-16528-8

    Article  Google Scholar 

  10. Yutuc W (2020) An investigation on the overall efficiency of a ship with shaft generator using an engine room simulator. In: In Lecture Notes in Mechanical Engineering. Springer Singapore. https://doi.org/10.1007/978-981-15-0002-2_26

  11. Gourgoulis D (2010) Troubleshooting of marine steam turbo electro generators using engine control room simulator. J Marit Res 7:13–26

    Google Scholar 

  12. Dimitrios G (2012) Engine control simulator as a tool for preventive maintenance. J Marit Res 9:39–44

    Google Scholar 

  13. Knežević V, Orović J, Stazić L, Čulin J (2020) Fault tree analysis and failure diagnosis of marine diesel engine turbocharger system. J Mar Sci Eng 8:1–19. https://doi.org/10.3390/jmse8121004

    Article  Google Scholar 

  14. Tsoukalas VD, Papachristos DA, Tsoumas NK, Mattheu EC (2008) Marine engineers’ training: Educational assessment for an engine room simulator. WMU J Marit Aff 7:429–448. https://doi.org/10.1007/BF03195143

    Article  Google Scholar 

  15. Stanivuk T, Lalić B, Žanić Mikuličić J, Šundov M (2021) Simulation modelling of marine diesel engine cooling system. Trans Marit Sci 10(01):112–125. https://doi.org/10.7225/toms.v10.n01.008

  16. Chybowski L, Strojecki S, Markiewicz W (2020) Simulation-based training in fire prevention and fire-fighting of scavenge air receivers fires. Syst Saf Hum Tech Fac Environ 2:100–111. https://doi.org/10.2478/czoto-2020-0013

    Article  Google Scholar 

  17. Shen H, Zhang J, Cao H (2017) Research of marine engine room 3-D visual simulation system for the training of marine engineers. J Appl Sci Eng 20:229–242. https://doi.org/10.6180/jase.2017.20.2.11

    Article  Google Scholar 

  18. Dere C, Deniz C (2020) Effect analysis on energy efficiency enhancement of controlled cylinder liner temperatures in marine diesel engines with model based approach. Energy Convers Manag 220:113015. https://doi.org/10.1016/j.enconman.2020.113015

    Article  Google Scholar 

  19. Dere C, Deniz C (2019) Load optimization of central cooling system pumps of a container ship for the slow steaming conditions to enhance the energy efficiency. J Clean Prod 222:206–217. https://doi.org/10.1016/j.jclepro.2019.03.030

    Article  Google Scholar 

  20. Karatuğ Ç, Arslanoğlu Y (2022) Importance of early fault diagnosis for marine diesel engines: a case study on efficiency management and environment. Ships Offshore Struct 17(2):472–480. https://doi.org/10.1080/17445302.2020.1835077

  21. Hountalas DT (2000) Prediction of marine diesel engine performance under fault conditions. Appl Therm Eng 20:1753–1783. https://doi.org/10.1016/S1359-4311(00)00006-5

    Article  Google Scholar 

  22. Lamaris VT, Hountalas DT (2010) A general purpose diagnostic technique for marine diesel engines—application on the main propulsion and auxiliary diesel units of a marine vessel. Energy Convers Manag 51:740–753. https://doi.org/10.1016/j.enconman.2009.10.031

    Article  Google Scholar 

  23. Pagán Rubio JA, Vera-García F, Hernandez Grau J, Muñoz Cámara J, Albaladejo Hernandez D (2018) Marine diesel engine failure simulator based on thermodynamic model. Appl Therm Eng 144:982–995. https://doi.org/10.1016/j.applthermaleng.2018.08.096

    Article  Google Scholar 

  24. Vera-García F, Rubio JAP, Grau JH, Hernández DA (2019) Improvements of a failure database for marine diesel engines using the RCM and simulations. Energies 13:1–28. https://doi.org/10.3390/en13010104

    Article  Google Scholar 

  25. Ceylan BO, Akyuz E, Arslanoğlu Y (2022) Modified quantitative systems theoretic accident model and processes (STAMP) analysis: A catastrophic ship engine failure case. Ocean Eng 253:111187. https://doi.org/10.1016/J.OCEANENG.2022.111187

    Article  Google Scholar 

  26. Liang X, Liu Z, Wang K, Wang X, Zhu Z, Xu C, Liu B (2021) Impact of pilot injection on combustion and emission characteristics of a low-speed two-stroke marine diesel engine. Energies 2021(14):417. https://doi.org/10.3390/EN14020417

    Article  Google Scholar 

  27. Watson N, Janota M (1982) Turbocharging the internal combustion engine. Macmillan International Higher Education

    Book  Google Scholar 

  28. Liu C, Cao Y, Ding S, Zhang W, Cai Y, Lin A (2020) Effects of blade surface roughness on compressor performance and tonal noise emission in a marine diesel engine turbocharger. Proc Inst Mech Eng 234:3476–3490. https://doi.org/10.1177/0954407020927637234

    Article  Google Scholar 

  29. MAN (2022) MAN Energy Solutions. URL https://www.man-es.com/global/panama/local-references. Accessed 5 Nov 2022

  30. Lo H-W, Shiue W, Liou JJH, Tzeng G-H (2020) A hybrid MCDM-based FMEA model for identification of critical failure modes in manufacturing. Soft Comput 2420(24):1733–1745. https://doi.org/10.1007/S00500-020-04903-X

    Article  Google Scholar 

  31. Qin J, Xi Y, Pedrycz W (2020) Failure mode and effects analysis (FMEA) for risk assessment based on interval type-2 fuzzy evidential reasoning method. Appl Soft Comput 89:106134. https://doi.org/10.1016/J.ASOC.2020.106134

  32. Li Z, Chen L (2019) A novel evidential FMEA method by integrating fuzzy belief structure and grey relational projection method. Eng Appl Artif Intell 77:136–147. https://doi.org/10.1016/J.ENGAPPAI.2018.10.005

    Article  Google Scholar 

  33. Pillay A, Wang J (2003) Chapter 7 Modified failure mode and effects analysis. Elsevier Ocean Eng Ser 7:149–177. https://doi.org/10.1016/S1571-9952(03)80009-0

    Article  Google Scholar 

  34. Xiao N, Huang HZ, Li Y, He L, Jin T (2011) Multiple failure modes analysis and weighted risk priority number evaluation in FMEA. Eng Fail Anal 18:1162–1170. https://doi.org/10.1016/J.ENGFAILANAL.2011.02.004

    Article  Google Scholar 

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Correspondence to Bulut Ozan Ceylan.

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Ceylan, B.O., Karatuğ, Ç. & Arslanoğlu, Y. A novel methodology for the use of engine simulators as a tool in academic studies. J Mar Sci Technol 27, 1220–1232 (2022). https://doi.org/10.1007/s00773-022-00902-9

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