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Monitoring of the anchorage system of the harbour structure of Shahid Rajaei port third phase development project using fiber optic sensor 2 2 The design and construction of the harbour structure takes a lot of time and cost to be put into operation, and its regular safety, surveillance and evaluation is no less important than the design and construction stages. The importance of this matter is revealed from the fact that in case of any defects and problems, it will lead to damage to this structure or in a critical condition, it will cause failure and the impossibility usage it. In addition to the loss of huge capital, it may also cause irreparable injuries. In this paper, while introducing the instrumentation of the structural health monitoring system, the investigation and monitoring of the strand anchorage system of the Shahid Rajaei port harbour (phase 3), which is the first project of the harbour structural health monitoring project in Iran, has been discussed. Among the various control instrumentation used in the structural health monitoring system of the mentioned project, strain gauges with Fiber Bragg grating (FBG) mechanism have been introduced and the obtained results have been analyzed. According to the evaluation on the measurement data and the graphs of control parameters, it can be concluded that the anchorage system of the harbour structure is in a desired condition.   1 12 2023/12/16 1402/9/25 2024/05/12 1403/2/23 Majid Nikkhah Majid Nikkhah Faculty of Mining, Petroleum & Geophysics Engineering, Shahrood University of Tecnology ایران m.nikkhah@shahroodut.ac.ir Structural health monitoring Fiber optic sensor Strain gauge Harbour Anchorage Scuro, C., Lamonaca, F., Porzio, S., Milani, G., & Olivito, R.S., (2021), Internet of Things (IoT) for masonry structural health monitoring (SHM): Overview and examples of innovative systems, Construction and Building Materials, 290, 123092, doi: 10.1016/j.conbuildmat.2021.123092##Boller, C. Chang, F., & Fujino, Y., (2009), Encyclopedia of Structural Health Monitoring, John Wiley & Sons, Hoboken##Comisu, C., Taranu, N., Boaca, G., & Scutaru, M., (2017), Structural health monitoring system of bridges, Procedia Engineering, 199, 2054-2059, doi: 10.1016/j.proeng.2017.09.472##Sugano, T., Nozu, A., Kohama, E., Shimosako, K., & Kikuchi, Y., (2014), Damage to coastal structures, Soils and Foundations, 54, 4, 883-901, doi: 10.1016/j.sandf.2014.06.018##Doebling, S., Farrar, C., & Prime, M., (1998), A Review of Damage Identification Methods that Examine Changes in Dynamic Properties, The Shock and Vibration Digest. 30, 91-105, doi: 10.1177/058310249803000201##Khak Energy pars co. (1401, solar calendar) Strucural health monitoring report for Shahid Rajaei port harbour (phase 3), (In Persian)##Modares, M., Waksmanski, N., (2013). Overview of structural health monitoring for steel bridges. Pract Period Struct Des Constr . 18 (3), 187-191. doi:10.1061/(ASCE)SC1943-55760000154##Lopez-Higuera, J M., (2002). Introduction to optical fiber sensor technology. in Handbook of Optical Fibre Sensing Technology, New York: Wiley##Lopez-Higuera, J M., Cobo, L. R., Incera, A. Q., and Cobo, A., (2011). Fiber Optic Sensors in Structural Health Monitoring, JOURNAL OF LIGHTWAVE TECHNOLOGY, 29, 4.##Cavallo, A., May, C., Minardo, A., Natale, C., Pagliarulo, P., & Pirozzi, S., (2009), Active vibration control by a smart auxiliary mass damper equipped with a fiber Bragg grating sensor, Sensors and Actuators A: Physical, 153, 180-186.##Behrmann, G., Hidler, J., & Mirotznik, M., (2012), Fiber optic micro sensor for the measurement of tendon forces, BioMedical Engineering OnLine. 11(1):77, doi: 10.1186/1475-925X-11-77##Pei, H.F., Li, C., Zhu, H.H., & Wang, Y.J., (2013). Slope stability analysis based on measured strains along soil nails using FBG sensing technology, Mathematical Problems in Engineering. Article ID 561360, doi:10.1155/2013/561360##Li, H., Ren, L., Li, D., & Yi, T., (2013). Design and Applications of Fiber Bragg Grating Sensors for Structural Health Monitoring, Proceedings of the 2013 World Congress on Advances in Structural Engineering and Mechanics (ASEM13), Jeju, Korea.##Zhang, Y., Bai, X., Yan, N., Sang, S., Jing, D., Chen, X., & Zhang, M., (2022). Load Transfer Law of Anti-Floating Anchor With GFRP Bars Based on Fiber Bragg Grating Sensing Technology, Frontiers in Materials, 9, 849114.##Huang, C., & Wei, Z., (2009). "Research on structural health monitoring of seaport wharf" Computational structural engineering confeence. Springer. 1291-1299##Habel, W. R., & Krebber, K., (2011). Fiber-optic sensor applications in civil and geotechnical engineering, Photonic sensors, 1(3), 268-280, doi: 10.1007/s13320-011-0011-x##Liu, P., (2014), "The fiber optic sensor-based online monitoring technology for oil well down-hole casting strain and pressure". Biotechnology an Indian Journal, 10(15), 8379-8384##Ye, X., Su, Y., & Han, J., (2014). Structural health monitoring of civil infrastructure using optical fiber sensing technology: A comprehensive review, The Scientific World Journal.##Barbosa, C,. et al., (2008). Weldable fibre Bragg grating sensors for steel bridge monitoring, Meas. Sci. Technol, 19, 12##Vohra, S., Johnson, G., Todd, M., Danver, B., and Althouse, B., (2000). "Distributed strain monitoring with arrays of fiber Bragg grating sensors on an in-construction steel box-girder bridge," IEICE Trans. Electron.,vol. E83C, 3, pp. 454-461##Li, H., Ou, JP., & Zhou, Z., (2009). Applications of optical fibre Bragg gratings sensing technology-based smart stay cables. Opt Lasers Eng 47:1077-1084##Huynh, T., Nguyen, T., Kim, T., & Kim, J., (2015). FBG-based Tendon Force Monitoring and Temperature Effect Estimation in Prestressed Concrete Girder, 6th International Conference on Advances in Experimental Structural Engineering, Urbana-Champaign, USA##Dewra, S., & Grover, A., (2015). Fabrication and applications of fiber Bragg grating-a review, Advanced Engineering Technology and Application, 4(3), 7-17##Chen, Q., Zhang, X., Chen, Y., & Zhang, X., (2015). A method of strain measurement based on fiber Bragg grating sensors, Vibroengineering Procedia, 5, 140-144.##Harmanci, Y. E., Spiridonakos, M. D., Chatzi, E. N., & Kübler, W., (2016). An autonomous strain-based structural monitoring framework for life-cycle analysis of a novel structure, Frontiers in Built Environment, 2(13):1-14 ,doi: 10.3389/fbuil.2016.00013##Kim, J.M., Kim, C.M., Choi, S.Y., & Lee, B.Y., (2017). "Enhanced strain measurement range of an FBG sensor embedded in seven-wire steel strands". Sensors, 17(7), 1654, doi:10.3390/s17071654##Zhang, M.Y., Kuang, Z., Bai, X.Y., & Chen, X.Y., (2018). Pullout behavior of GFRP anti-floating anchor based on the FBG sensor technology, Mathematical Problems in Engineering. Article ID 6424791, doi: 10.1155/2018/6424791##Fu, J., Guo, Y., & Li, P., (2020). A fiber Bragg grating anchor rod force sensor for accurate anchoring force measuring, IEEE Access, 8, 12796-12801, doi: 10.1109/ACCESS.2020.2966235##Lecieux, Y., Rozière, E., Gaillard, V., Lupi, C., Leduc, D., Priou, J. Guyard, R., Chevreuil, M., & Schoefs, F., (2019). Monitoring of a reinforced concrete wharf using structural health monitoring system and material testing, Journal of Marine Science and Engineering, 7(4), 84, doi: 10.3390/jmse7040084##Kwon, I.B., Kwon, Y.S., Seo, D.C., Yoon, D.J., & Kim, E., (2020). A Technic for Ground Anchor Force Determination from Distributied Strain Using Fiber Optic OFDR Sensor with the Rejection of a Temperature Effect, Applied Sciences, 10(23), 8437, doi: 10.3390/app10238437##Braunfelds, J., Senkans, U., Skels, P., Janeliukstis, R., Salgals, T., Redka, D., Lyashuk, I., Porins, J., Spolitis, S., Haritonovs, V., & Haritonovs, V., (2021). FBG-based sensing for structural health monitoring of road infrastructure, Journal of Sensors. Article ID 8850368, doi:10.1155/2021/8850368##Yang, J., Hou, P., Yang, C., & Yang, N., (2021). Study of a Long-Gauge FBG Strain Sensor with Enhanced Sensitivity and Its Application in Structural Monitoring, Sensors, 21(10), 3492, doi: 10.3390/s21103492##Guo, G., Zhang, D., Duan, Y., Zhang, G., & Chai, J., (2022). Strain-Sensing Mechanism and Axial Stress Response Characterization of Bolt Based on Fiber Bragg Grating Sensing, Energies, 15(17), 6384, doi: 10.3390/en15176384##Jeon, S.J., Park, S.Y., & Kim, S.T., (2022). Temperature Compensation of Fiber Bragg Grating Sensors in Smart Strand, Sensors, 22(9), 3282, doi: 10.3390/s22093282##Silva-Campillo, A., Pérez-Arribas, F., & Suárez-Bermej, J., (2023). Health-Monitoring Systems for Marine Structures: A Review, Sensors, 23, 2099, doi: 10.3390/s23042099## ##

Effect of Hydrofoil Stabilizer Location on Porpoising of Mono-Hull Planing Craft 2 2 In this study, the effect of hydrofoil stabilizer location on the porpoising instability of a mono-hull planing craft and also its optimal location have been investigated. The craft used in this project was a planing mono-hull one which was longitudinally unstable in the sea test. More precisely, it should be said that the craft entered the longitudinal instability stage at a speed of 30 knots and severe changes in its pitch and heave movements were observed. Numerical simulation which was based on computational fluid dynamics (CFD) techniques was done to simulate a three-dimensional geometric model in the fluid Eulerian two phases flow. A validation study was carried out by comparing the numerical results with the experimental data of the planing hull without the hydrofoil stabilizer. To study the effect of the installation position of the hydrofoil stabilizer, three parameters include depth of the hydrofoil relative to the transom bottom, the longitudinal distance of hydrofoil from the transom and the angle of attack were selected. The effects of changes in each of these parameters were investigated separately. Finally, the most suitable installation parameters that provide the best performance of the hydrofoil stabilizer and reduce the porpoising influence were selected. From the results of this study, it was observed that by increasing the depth of the hydrofoil from the transom and also by increasing the angle of attack of the hydrofoil, the amplitude of heave and pitch diagrams has decreased. The longitudinal distance of the hydrofoil to transom has not significant effect on porpoising instability. However, the results showed that the proper position for the hydrofoil stabilizer should not be under the hull bottom. 13 25 2023/12/162024/01/28 1402/11/8 2024/05/122024/06/8 1403/3/19 mohsen saeedi namini mohsen saeedi namini Persian Gulf University ابران mohsen.saeedinamini@gmail.com Ahmadreza Kohansal Ahmadreza Kohansal Persian Gulf University ایران kohansal@pgu.ac.ir Porpoising Planing craft Mono-Hull Hydrofoil Stabilizer Dynamic Motions Savitsky, D., (1985), Planing craft. Naval Engineers Journal, Vol. 97, No.2.##Ikeda Y., (2000), Stability of high speed craft. In: Vassalos D, et al., editors. Con-temporary ideas on ship stability. New York: Elsevier Science Ltd.; 2000.p. 401-9.##Faltinsen, O.M., (2005), Hydrodynamics of High-Speed Marine Vehicles; Cambridge University Press: Cambridge, UK.##Celano, T., (1998), The Prediction of Porpoising Inception for Modern Planing Craft. SNAME Transactions 106, pp.269-292.##King D. W., Lockwood A. L., (1928). Anti-cavitation plate for outboard motors. United States Patent Office. Patent No.: 1,734,911. Nov. 5, 1929, Appl. No. 290,306.##Larson W., (1984). Boat stabilizer. United States Patent Office. Patent No.: 4,487,152., Appl. No. 482,401.##Day, J. P., Haag R. J., (1952). Planing Boat Porpoising-A Study of the Critical Boundries for a Series of Prismatic Hulls, Thesis submitted to Webb Institute of Naval Architecture, Glen Cove, Long Island, N.Y.##Savitsky, D., (1964), Hydrodynamic design of planing hulls. Mar. Technol. SNAME News 1964, 1, 71-95##Clement, E.P., Blount, D.L., (1963), Resistance tests of a systematic series of planing hull form, Trans. SNAME 71.##Brown, P., (1971), An experimental and theoretical study of planing surfaces with trim flaps, Davison Laboratory report 1463, Stevens institute of Technology, Hoboken, NJ, USA.##Savitsky D., Brown P., (1976). Procedures for hydrodynamic evaluation of planing hulls in smooth and rough water, Marine Technology vol. 13, pp. 381-400.##Blount, Doald L., Codega Louis T., (1992), Dynamic stability of planing boats. Marine Technology, Vol. 29, No. 1, pp. 4-12.##Kazemi H., Salari M., (2017), Effects of loading conditions on hydrodynamics of a hard-chine planing vessel using CFD and a dynamic model, International Journal of Maritime Technology, ijmt2017;7:11-18.##Xiaosheng, B., Hailong, S., Jin, Z., Yumin, S., (2019). Numerical analysis of the influence of fixed hydrofoil installation position on seakeeping of the planing craft. Appl. Ocean Res. 2019, 90, 101863.##Liru Zan, Hanbing Sun, Shijie Lu, Jin Zou, Lei Wan, (2022), Experimental Study on Porpoising of a High-speed Planing Trimaran. Journal of Marine Science Engineering, 11, 769.##McCroskey, W. J., (1987), A Critical Assessment of Wind Tunnel Results for the NACA 0012 Airfoil. NASA Technical Memorandum.##Sport marine technologies Inc. Products. Available: https://sesport.wpengine.com##ITTC., (2014). Practical Guidelines for Ship CFD Applications. Recommended procedures and guidelines section: 7.5-03-02-03 2014b.## ##

Predicting Sediment Transport Rate under Vegetation Cover Using Group Method of Data Handling and New Optimization Algorithms 2 2 Developing vegetation cover is one of the practical solutions to alleviate the sediment transfer rate. Predicting the sediment transfer rate in the presence of cover vegetation is a complicated necessary issue for designers due to the complex interaction between sediments and cover vegetation. This study intends to predict the sediment transfer rate (STR) by employing soft computing models based on an experimental study. The primary innovations in this study were the introduction of new and optimized versions of the group method of data handling (GMDH) for predicting sediment transport rate, the use of a new inclusive multiple model for predicting sediment transport rate, and the investigation of the effects of various parameters on the sediment transport rate, such as vegetation cover density. This study used an inclusive multiple model (IMM) as an ensemble model to predict sediment transport in the presence of cover vegetation. Initially, the sediment transport rate was predicted using the individual GMDH models. These outputs were then used to create the final outputs by inserting them into the GMDH model as an ensemble model at the next level. The Honey Badger algorithm (HBA), the rat swarm optimization algorithm (RSOA), the sine cosine algorithm (SCA), and the particle swarm optimization algorithm (PSOA) were used to train the GMDH model. The diameter of the sediments, the diameter of the stems, the density of vegetation cover, the wave height, the wave velocity, the cover height, and the wave force were used as inputs to the models. The IMM's mean absolute error (MAE) was 0.145 m3/s, while the MAEs for GMDH-HBA, GMDH-RSOA, GMDH-SCA, GMDH-PSOA, and GMDH in the testing level were 0.176 m3/s, 0.312 m3/s, 0.367 m3/s, 0.498 m3/s, and 0.612 m3/s, respectively. The Nash–Sutcliffe coefficient (NSE) of IMM, GMDH-HBA, GMDH-RSOA, GMDH-SCA, GMDH-PSOA, and GHMDH were 0.95 0.93, 0.89, 0.86, 0.82, and 0.76, respectively. Additionally, this study demonstrated that vegetation cover decreased sediment transport rate by 90%. The overall results indicated that the IMM and GMDH-HBA models could accurately predict sediment transport rates.   26 50 2023/12/162024/01/282024/04/12 1403/1/24 2024/05/122024/06/82024/07/7 1403/4/17 elham Ghanbari Adivi elham Ghanbari Adivi Associated professor, Shahrekord university ایران elhamgh44@gmail.com Sediment transport rate Coastal regions Forest cover Group method of data handling Optimization Algorithms Ab. Ghani, A., Azamathulla, H.M., 2014. Development of GEP-based functional relationship for sediment transport in tropical rivers. Neural Comput. Appl.##Abualigah, L., & Diabat, A. (2021). Advances in Sine Cosine Algorithm: A comprehensive survey. Artificial Intelligence Review.##Achite, M., Banadkooki, F. 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Longitudinal Vibration Analysis of Marine Propeller Shaft Using Distributed-Lumped Modeling Technique 2 2 In this paper, the application of distributed-lumped (hybrid) modeling technique (DLMT) in the modeling of longitudinal (axial) vibration of marine shaft system is investigated. The equation of motion for the longitudinal vibration is solved in new analytical method, and modeled as a series of interconnected distributed and lumped elements. Natural frequencies of a rotor system with various elements are calculated based on the distributed lumped modeling technique (DLMT). The results obtained by this method are compared and verified with the results of other techniques, such as FEM, using ANSYS software, and the mode shapes are also presented. The method is then employed for calculating the natural frequencies of a marine propeller shaft with multiple elements such as different couplings. The results are compared and verified with the frequencies and mode shapes obtained by KissSoft software. It is shown that the presented method provides highly accurate results, while it can be simply and effectively applied to the complicated systems. 51 60 2023/12/162024/01/282024/04/122024/10/14 1403/7/23 2024/05/122024/06/82024/07/72024/12/29 1403/10/9 Saeed Soheili Saeed Soheili Assistant Professor, Department of Mechanical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran. ایران soheili@iau.ac.ir Seyyed Esmaeel Hosseini Seyyed Esmaeel Hosseini MSc of Mechanical Engineering, Department of Mechanical Engineering, Imam Hossein University, Tehran, Iran. ایران Hosseini.mec62@gmail.com Abdollah Karimi Abdollah Karimi MSc of Mechanical Engineering, Department of Mechanical Engineering, Hakim Sabzevari University, Sabzevar, Iran. ایران abdollah.93.karimi.215@gmail.com Longitudinal Vibration Hybrid Modeling Marine Propeller Shaft Distributed Element Lumped Element Randall, R.B., (2011), Vibration- Based Condition Monitoring: Industrial, Aerospace and Automotive Applications, John Wiley & Sons Inc., USA.##Soheili, S., Ghasemizadeh P., and Hosseini, E., (2020), Design of Vibration Reducer for Thrust Bearing of Marine Shaft, Journal of Marine Engineering, Vol. 16 (32), p. 131-140.##Halilbese, A., Ozsoysal, O. A., (2021), The Coupling Effect on Torsional and Longitudinal Vibrations of Marine Propulsion Shaft System, Journal of ETA Maritime Science, Vol. 9(4), p. 274-282.##Xiang, L., Yang S., Gan, C., (2012) Torsional Vibration of a Shafting System under Electrical Disturbances, Shock and Vibration, Vol. 19, p. 1223-1233.##Hussain Aboud, A.A., Khalaf Ali, J., (2021), Study of Effective Parameters in Stability and Vibration of Marine Propulsion Shafting Systems, Journal of Physics: Conference Series, Vol. 1973 (012032), doi: 10.1088/1742-6596/1973/1/012032.##Whalley, R., (1988), The Response of Distributed-Lumped Parameter Systems, Proceedings of IMechE, Vol. 202(C6), p. 421-428.##Aleyaasin, M., Ebrahimi M. and Whalley, R., (2001), Flexural Vibration of Rotating Shafts by Frequency Domain Hybrid Modeling, Journal of Computers and Structures, Vol. 79, p. 319-331.##Soheili S. and Abachizadeh, M., (2022), Flexural Vibration of Multistep Rotating Timoshenko Shafts Using Hybrid Modeling and Optimization Techniques, Journal of Vibration and Control, doi: 10.1177/10775463211072406.##Tahani, M., Soheili, S., Abachizadeh, M. and Farshidianfar, A., (2008), Rotors Frequency and Time Response of Torsional Vibration Using Hybrid Modeling, Proceeding of 16th Annual Mechanical Engineering Conference (ISME), Kerman.##Soheili, S. and Abachizadeh, M., (2023), Flexural vibration of multistep rotating Timoshenko shafts using hybrid modeling and optimization techniques, Journal of Vibration and Control, Vol. 29(7-8), p. 1833-1849.##Rao, S.S., (2016), Mechanical Vibration, 6th Edition, Pearson Publications, USA.##Meirovitch, L., (2001), Fundamentals of Vibration, McGraw-Hill Inc., Singapore.##Chu, W., Zhao, Y., Zhang, G., and Yuan, H., (2022), Longitudinal Vibration of Marine Propulsion Shafting: Experiments and Analysis, Journal of Marine Science and Engineering, Vol. 10(1173), https://doi.org/ 10.3390/jmse10091173.##https://doi.org/10.3390/jmse10091173##Zhang, G., Zhao, Y., Li, T., and Zhu, X., (2014), Propeller Excitation of Longitudinal Vibration Characteristics of Marine Propulsion Shafting System, Shock and Vibration, Vol. 2014, p. 1-19, http://dx.doi.org/10.1155/2014/413592.## ##

A data-driven artificial intelligence approach to predict the remaining useful life of Neuero grain unloaders in Khuzestan ports 2 2 This study aims to enhance equipment management in grain unloading operations at Khuzestan Ports in Iran by predicting the remaining useful life of electric motors used in grain suction systems (neuero). Utilizing LSTM models in conjunction with environmental factors, this research minimizes unexpected costs associated with equipment failures and reduces downtime in unloading and loading processes. Real-world data from Khuzestan ports demonstrates the high accuracy of the LSTM model in predicting failures. The findings support proactive maintenance strategies, thereby improving efficiency and reliability in the port and maritime industry. While challenges such as limited data, incomplete coverage of environmental factors, and reliance on deep learning models exist, this study provides a foundation for future research on optimizing maintenance and management of neuero electric motors in bulk vessels. 61 69 2023/12/162024/01/282024/04/122024/10/142024/10/18 1403/7/27 2024/05/122024/06/82024/07/72024/12/292025/01/6 1403/10/17 Mohammadali Zarghami Mohammadali Zarghami South Tehran Azad University ایران Mohamad.zarghami@gmail.com Sadigh Raissi Sadigh Raissi South Tehran Azad University ایران Raissi@azad.ac.ir tohidi hamid tohidi hamid South Tehran Azad University ایران htohidi1342@gmail.com Shahrooz Bamdad Shahrooz Bamdad South Tehran Azad University ایران sh.bamdad2000@yahoo.com Remaining Life Prediction Failure Process Modeling Neural Networks Artificial Intelligence Data-Driven Approach. Seif, M. S., Sadeghi, A. A., & Mohammadi, M. (2023). Application of artificial intelligence in predicting the failure of marine equipment. International Journal of Maritime Technology, 18(2), 125-134.##Ahmadi, A. R., Alizad, H., & Rezaei, M. B. (2022). Reliability assessment of marine propulsion systems using simulation methods. International Journal of Maritime Technology, 17(4), 281-290.##Mohammadi, S., Hosseini, A. H., & Jafari, A. A. (2021). A novel model for preventive maintenance of marine equipment. International Journal of Maritime Technology, 16(3), 197-206.##Rezaei, M., Sadeghi, M. H., & Ahmadi, S. (2020). Application of artificial intelligence in ship maintenance. International Journal of Maritime Technology, 15(2), 113-122.##Mohammadi, A., Ahmadi, A., & Hosseini, H. (2019). The impact of artificial intelligence on the maritime industry. International Journal of Maritime Technology, 14(4), 271-280.##Rezaei, M., Sadeghi, M. H., & Ahmadi, S. (2022). An AI-based system for condition monitoring of marine equipment. International Journal of Maritime Technology, 17(3), 207-216.##Jin, X., Wang, P., & Tsui, K. L. (2016). An adaptive prognostic model for rolling element bearings based on particle filter and extended Kalman filter. IEEE Transactions on Industrial Electronics, 63(10), 6148-6157.##Huang, H. Z., Xi, L., Li, C., & Liu, C. (2017). Remaining useful life prediction for machinery based on adaptive skew-Wiener process and health state similarity. Mechanical Systems and Signal Processing, 85, 770-787.##Yang, J., Zhang, Y., & Wang, P. (2019). Deep convolutional neural network-based remaining useful life prediction of bearings under different working conditions. IEEE Transactions on Industrial Electronics, 67(2), 1262-1272.##Deutsch, J., & He, D. (2018). A deep learning approach for remaining useful life prediction based on machine condition data. Journal of Manufacturing Science and Engineering, 140##Mao, W., He, J., & Zuo, M. J. (2020). A novel deep learning approach for remaining useful life prediction of bearings based on health state similarity. IEEE Transactions on Industrial Electronics, 67(11), 9714-9724.##Wang, Y., Ma, X., & Li, Y. F. (2018). A quantum-weighted gated recurrent unit network for remaining useful life prediction of bearings. IEEE Transactions on Industrial Informatics, 15(4), 2410-242## ##

Numerical simulation of diesel engines EGR cooler 2 2 This article investigates the effect of using three nanofluids as exhaust gas cooling fluid in an EGR cooler. Reducing the exhaust temperature of diesel engines can reduce environmental and thermal pollutants. In a conventional 3-liter engine in all kinds of vehicles, 20 to 40 kW of its 115 kW power is being wasted. The engine shell temperature rises to 600 degrees Celsius.  Exhaust gas recirculation can recover a part of it. Exhaust gas recirculation can recover thermal energy by exhaust gas recirculation method by charging a thermal energy storage tank to feed a diesel engine in cold start.Many researchers have simulated natural convection in the nanofluids. The innovation of the current research is the use of 61 tubes inside the small heat exchanger that is cooled by the discussed nanofluids in the exhaust gas recirculation system of the diesel engine that works with the paraffin phase changer and the exhaust gas recirculation rate is 60% to Reduce of environmental pollution and smoother operation of diesel engine. The inlet is steady state turbulent. The thickness of the inner tubes is considered close to zero. The shell is adiabatic. Both of them exit the heat exchanger under pressure. Three nanoparticles of diamond, silicon dioxide, and copper are considered. This numerical simulation has solved the continuity equations, energy, Navier-Stokes, the pressure drop along the pipe, flow, and rotation equation, kinetic energy disturbance, and energy loss rate equation. The results showed a higher pressure drop for the silicon dioxide-ethylene glycol nanofluid. Silicon dioxide-ethylene glycol nanofluid has a higher Nusselt number, slightly different from other nanofluids. Also, Copper ethylene glycol has a lower Velocity among nanofluids 70 77 2023/12/162024/01/282024/04/122024/10/142024/10/182024/10/7 1403/7/16 2024/05/122024/06/82024/07/72024/12/292025/01/62025/01/7 1403/10/18 Alireza Asadi Alireza Asadi P.hd student, Campus faculty, University of Guilan ایران alireza_asadi90@yahoo.com Kourosh Javaherdeh Kourosh Javaherdeh Faculty of mechanical engineering, University of Guilan,Rasht,Iran. ایران javaherdeh@guilan.ac.ir Mohammad Naghashzadegan Mohammad Naghashzadegan Faculty of Mechanical Engineering, University of Guilan, Iran. ایران naghash@guilan.ac.ir Numerical solution Nanofluids Cooling Diesel engines Shell and tube heat exchangers. TaleshAmiri, S., Shafaghat, R., Mohebbi, M., Mahdipour, M. A., & Esmaeili, M. (2021). Power Enhancement of a Heavy-Duty Rail Diesel Engine Considering the Exhaust Gas and ancillary facilities Temperature Limitation: A Feasibility Study. International Journal of Maritime Technology, 15, 107-118.##Sharifi, S., & Gholami, H. (2023). A new multi-objective model for berth allocation and quay crane assignment problem with speed optimization and air emission considerations (A case study of Rajaee Port in Iran). 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Ramachandra Raju, (2016), Numerical and Heat Transfer Analysis of Shell and Tube Heat Exchanger with Circular and Elliptical Tubes, Department of Mechanical Engineering, Sistan College, Kakinada, India.##Heidar Sadeghzadeh, Marc A Rosen, (2015), Optimization of a Finned Shell and Tube Heat Exchanger Using a Multi-Objective Optimization Genetic Algorithm, Department of Mechanical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.##Miqdam T Chaichan, Shaimaa H Kamel, (2015), Thermal Conductivity Enhancement by Using Nanomaterial in Phase Change Material for Latent Heat Thermal Energy Storage Systems, Mechanical Engineering Dept, University of Technology, Baghdad, Iraq. The Middle Technical University, Baghdad, Iraq.##Jahar Sarkar and Rahul Tarodiya, (2013), Performance Analysis of Louvered Fin Tube Automotive Radiator Using Nanofluids as Coolants, Department of Mechanical Engineering, Indian Institute of Technology (BHU), Varanasi, UP-221005, India.##Shekh Nisar Hossain Rubaiyat, Saiful Bari, (2010), Waste heat recovery using shell and tube heat exchanger from the exhaust of an automotive engine, Sustainable Energy Centre, School of Advanced Manufacturing and Mechanical Engineering, University of South Australia, SA 5095, Australia.##Usman ur Rehman, (2011), Heat Transfer Optimization of Shell-and-Tube Heat Exchanger through CFD Studies, Master's Thesis in Innovative and Sustainable Chemical Engineering Department of Chemical and Biological Engineering Division of Chemical Engineering Chalmers University Of Technology Goteborg, Sweden.##Huang, Y. Q et al, (2008), Numerical Simulation and Optimization Design of the EGR Cooler in Vehicle, Journal of Zhejiang University Science, pp. 1270-1276.##Mathew V Karvinkoppa, Tapano Kumar Hotta, (2019), Transient Analysis of Phase Change Material for the Cooling of Discrete Heat Sources Under Mixed Convection, Vellore Institute of Technology, Vellore, Tamil Nadu, India.##Nicola Aldi et al, (2022), Performance Degradation of a Shell-and-Tube Heat Exchanger Due to Tar Deposition, Department of Engineering (DE), University of Ferrara, 44122 Ferrara, Italy, Energies.##Aminifar et al, (2020), Experimental Investigation of Hydro-Thermodynamics Performance of Shell and Tube Heat Exchanger Using Nanofluid, Triangular-Cut Twisted Tape and Corrugated Pipes, Department of Mechanical Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.##Ender Ozden, Ilker Tari, (2010), Shell Side CFD Analysis of a Small Shell-And-Tube Heat Exchanger, Department of Mechanical Engineering, Middle East Technical University, 06531, Ankara, Turkey.##An F Gizzatullina et al, (2021), Analysis of Ribbed Tube Heating in The Cooling System, Kalashnikov Izhevsk State Technical University, 426000, 7, Studencheskaya str., Izhevsk, Russia##Anderson LZ, Robert Nation H, (1982), Waste heat recovery system for an internal combustion engine. 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