A geometric approach for automatic guidance of marine loading arms
محورهای موضوعی : فصلنامه شبیه سازی و تحلیل تکنولوژی های نوین در مهندسی مکانیک
Omid Kavianipour
1
(
Young Researchers and Elite Club, Damavand Branch, Islamic Azad University, Damavand, Iran
)
کلید واژه: Marine Loading Arm, Control of MLA, Hydraulic Proportional Valve, Oil and Gas Industries, Hydraulic Actuator,
چکیده مقاله :
This paper deals with an assembly of articulated piping titled Marine Loading Arm (MLA). The MLA is developed to transfer liquids and gasses between jetty and ship in order to load or unload cargo such as cryogenic or high temperature products, and the most corrosive or hazardous products. The purpose of this work is to automate the conduction of a self-supporting MLA balanced via two single adjustable counterweights by means of a simple and practical approach. The proposed strategy complies with the specifications advised by the Oil Companies and International Marine Forum (OCIMF) and industry requirements. This strategy employs a geometric method to determine the appropriate voltage value to drive the hydraulic actuators, which in turn enables safe and rapid control of the MLA from the berth to the coastal tanker flange. Furthermore, validation of the results is performed utilizing the motion simulation in ADAMS software. Finally, the electro-hydraulic circuit diagram for the actuator movement is suggested.
This paper deals with an assembly of articulated piping titled Marine Loading Arm (MLA). The MLA is developed to transfer liquids and gasses between jetty and ship in order to load or unload cargo such as cryogenic or high temperature products, and the most corrosive or hazardous products. The purpose of this work is to automate the conduction of a self-supporting MLA balanced via two single adjustable counterweights by means of a simple and practical approach. The proposed strategy complies with the specifications advised by the Oil Companies and International Marine Forum (OCIMF) and industry requirements. This strategy employs a geometric method to determine the appropriate voltage value to drive the hydraulic actuators, which in turn enables safe and rapid control of the MLA from the berth to the coastal tanker flange. Furthermore, validation of the results is performed utilizing the motion simulation in ADAMS software. Finally, the electro-hydraulic circuit diagram for the actuator movement is suggested.
[1] Kim, S. W., Park, W. S., Jang, Y. I., Yun, H. D., & Shin, M. Y. (2015). Finite element analysis for structural evaluation of marine loading arm. Contemporary Engineering Sciences, 8.
[2] Sastry, M. K. S., & Seekumar, L. (2012). Automation of real time monitoring and controlling of a marine loading arm. Journal of Engineering, Design and Technology, 10(2), 217-227.
[3] Ugas, N., & Sastry, M. K. S. (2008). A novel control strategy for an ammonia marine loading arm. The Journal of the Association of Professional Engineers of Trinidad and Tobago, 37, 60-67.
[4] Oil Companies and International Marine Forum (OCIMF), Design and Construction Specification for MARINE LOADING ARMS (4th edition), (2019).
[5] Chang Yong Song, Ha Young Choi and Seung Hwan Shim. (2013). Structural safety evaluation of marine loading arm using finite element analysis. Journal of Ocean Engineering and Technology, 27(1), 43-50.
[6] Kim, S. W., Park, W. S., Jang, Y. I., Yun, H. D., & Shin, M. Y. (2015). Finite element analysis for structural evaluation of marine loading arm. Contemporary Engineering Sciences, 8.
[7] Choi, B. Y., Jo, H. J., Choi, H. S., & Choi, D. E. (2018). A Study on Loading Arm Envelope and Alarm Setting according to Ship Movement. Journal of Advanced Research in Ocean Engineering, 4(3), 115-123.
[8] Siswantoro, N., Zaman, M. B., Fahreza, F., Priyanta, D., Pitana, T., Prastowo, H., ... & Fauzi, H. N. (2022). A Case Study Maintenance Task Allocation Analysis on Marine Loading Arm Using Reliability Centered Maintenance. In IOP Conference Series: Earth and Environmental Science (Vol. 972, No. 1, p. 012032). IOP Publishing.
[9] American Bureau of Shipping, Guide for surveys based on machinery reliability and maintenance techniques, (2016).
[10] American Bureau of Shipping, Guidance notes on reliability-centered maintenance, (2018).
[11] Eriksen, S., Utne, I. B., & Lützen, M. (2021). An RCM approach for assessing reliability challenges and maintenance needs of unmanned cargo ships. Reliability Engineering & System Safety, 210, 107550.
[12] Pinto, G., Silva, F. J. G., Baptista, A., Fernandes, N. O., Casais, R., & Carvalho, C. (2020). TPM implementation and maintenance strategic plan–a case study. Procedia Manufacturing, 51, 1423-1430.
[13] Bruijn, W. E., Rip, J., Hendriks, A. J., van Gelder, P. H., & Jonkman, S. N. (2019). Probabilistic downtime estimation for sequential marine operations. Applied Ocean Research, 86, 257-267.
[14] Camus, P., Tomás, A., Díaz-Hernández, G., Rodríguez, B., Izaguirre, C., & Losada, I. J. (2019). Probabilistic assessment of port operation downtimes under climate change. Coastal Engineering, 147, 12-24.
[15] Siswantoro, N., & Zaman, M. B. (2020). Criticality assessment for marine diesel engine using failure mode and effect criticality analysis (FMECA) approach: Case study on lubricating oil system. International Review of Mechanical Engineering, 14(4), 258-263.
[16] Li, X., Li, H., Sun, B., & Wang, F. (2018). Assessing information security risk for an evolving smart city based on fuzzy and grey FMEA. Journal of Intelligent & Fuzzy Systems, 34(4), 2491-2501.
[17] Liu, H. C., Wang, L. E., You, X. Y., & Wu, S. M. (2019). Failure mode and effect analysis with extended grey relational analysis method in cloud setting. Total Quality Management & Business Excellence, 30(7-8), 745-767.
[18] Alrifaey, M., Sai Hong, T., Supeni, E. E., As’ arry, A., & Ang, C. K. (2019). Identification and prioritization of risk factors in an electrical generator based on the hybrid FMEA framework. Energies, 12(4), 649.
[19] Liu, H., Deng, X., & Jiang, W. (2017). Risk evaluation in failure mode and effects analysis using fuzzy measure and fuzzy integral. Symmetry, 9(8), 162.
[20] Zaman, M. B., Kobayashi, E., Wakabayashi, N., Khanfir, S., Pitana, T., & Maimun, A. (2014). Fuzzy FMEA model for risk evaluation of ship collisions in the Malacca Strait: based on AIS data. Journal of Simulation, 8(1), 91-104.
[21] Hajizadeh, S., Seif, M. S., & Mehdigholi, H. (2016). Determination of ship maneuvering hydrodynamic coe cients using system identi cation technique based on free-running model test. Scientia Iranica, 23(5), 2154-2165.
