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Comparisons made between the measured data carried out from September to December 2012 using a streamer trap and the results of some semi-empirical formulas including C.E.R.C, Walton and Bruno (W.B), van der Meer (V), Kamphuis (K), and an Artificial Neural Network (ANN) model. Six dominant variables are considered in the ANN model to estimate long-shore sediment transport rate. Results reveal that among the semi-empirical formulas, Kamphuis formula has provided more reliable results than others and its %7 errors related to the observed data is partially resulted from the errors in input parameters. In contrast, the ANN model provides more accurate results with %6 error related to measured data and thus it is recommended to be applied in long-shore sediment transport rate estimation in similar research contexts.

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In this paper, the homotopy method is used for stress analysis of rotating disk subjected to thermal load in marine gas turbine engine. Apply the thermal loading on the disk with exponential thickness distribution by using the homotopy method and Considering the physical and mechanical properties variations with temperature, are the most important aspects of innovation in this paper. Disc thickness variations are considered exponential and the inner and outer rims of disk are considered constant thickness. Due to the use of homotopy analysis method, important and effective parameters in this method are selected and presented. Furthermore, results are compared and validated with finite element code and good agreement of results with this method is showed. Finally, stress distribution in disks with constant, exponential and hyperbolic thickness distribution are considered and compared. The results showed the efficiency and acceptable accuracy of the method for analysis of rotating disk subjected to thermal and mechanical loading in gas turbine engine.

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Permanent magnet motors have some advantages such as high power density, high efficiency and good thermal characteristic and are used in many industrial applications. The aim of this paper is to present the optimal design and fabrication of a counter rotate brushless permanent magnet motor for using In under water systems. Due to the motor space limitations and lack of heat transmission with the environment, the designed motor must have high power density meanwhile high efficiency. For this purpose, the motor dimensions are calculated with goal of increasing power density and efficiency by using motor’s electromagnetic equation and genetic algorithm. In order to validate the calculated results, the motor has been simulated with finite element method. At the end, the motor has been fabricated according to the calculated parameters and the experiments results have been presented.

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The FMEA method is one of the safety and reliability management techniques, which is very effective in identifying and eliminating potential problems in the product design and production process. Despite the extensive use of the Risk Priority Number (RPN) in FMEA, it is criticized due to shortcomings such as the inability to analyze crashes with a common cause, high duplicate RPN values ​​and the lack of direct and indirect relationships among failures and the causes. Considering the importance of safety in marine industry, this paper describes the implementation of an aggregating method of TOPSIS and DEMATEL which is able to overcome common shortcoming of traditional RPN method in a marine propulsion system.  The implementation of the method in prioritizing the main root causes led to more desirable results compared to the traditional RPN and DEMATEL base methods.

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renewable resources deployment and their dependence on the weather conditions makes them non-dispatchable. Therefore, they need appropriate storage devices in the energy systems. Vessels' energy system has different energy carriers like electricity, heat, cooling, etc. and they are usually operated individually. Hence, this paper presents an integrated model based on energy hub concept for optimal design and operation of a vessel energy system containing electrical, heat and cooling loads that will be satisfied by wind and solar renewable energies, fuel cell, electrolyzer, hydrogen storage tank and battery packs. The proposed method has been validated through GAMS software.

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The energy management of ships to improve the efficiency of ships and reduce greenhouse gas emissions is among the most important issues that have been considered as a milestone in designing and constructing of vessels in recent years. The study of energy trends and attention to technological changes and the importance of more stringent environmental standards in recent years have led to a major challenge in relation to air pollution, energy management, and exposure to end-of-life sources of fossil fuels. In recent years, focus on current fuels and technologies in vehicles has led to a major challenge regarding air pollution, greenhouse gas emissions, energy security, and also exposure to exhausting sources of fossil fuels. Now days, Hybrid propulsion systems are one of the solutions that are being followed in many countries to solve this problem. In this paper, after introducing the hybrid system; conceptual design and determination of a suitable hybrid system for vessels have been investigated. Then the calculations and relations dominating the hybrid parallel system of vessel are presented. The modeling is also done using the ADVISOR software run in the Simulink platform of the MATLAB for both conventional and hybrid systems. The results show that parallel hybrid vessel has improved by 7% in total efficiency and 7.1% for consumption. In addition, HC and CO emissions have been decreased by 0.44% and 0.39%, respectively.

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Precision and reliability are two main performance characteristic in low-cost Inertial Navigation System(INS). Increase of precision in low-cost INS without auxiliary sensors is main challenge. Bias instability leads to position drift error in inertial navigation system. In addition, fault occurrence makes the sensor reliability is decreased. Rotation of Inertial Measurement Unit(RIMU) and use of redundant IMUs despite single unit is an approach for precision and reliability incensement. In this paper three units IMU is placed in rotational table. The mean of three units IMU is considered as virtual IMU, then INS mechanization is solved after rotation compensation. Experimental results show that the position estimation error without rotation is 10 times of estimation error in rotary case. Attitude estimation is stable in rotatory case despite instability in conventional case.

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Greenhouse gas emissions and atmospheric pollutants, economic savings, as well as alignment with the new rules of the shipping industry's leading is a new concern. In order to meet and achieve these goals, many efforts have been made. In this paper, some methods for reducing fuel consumption, including optimization of floating trim, have been considered in design draught. In this regard, the body resistance of model of the KCS container ship is calculated in design draught; This analysis was performed by numerical solution and experimental test for -0.1 to +0.1 trim range. And the results of ship model analysis was generalized to the main body. In this regard, the mathematical model of ship propulsion system is implemented in the MATLAB-Simulink software; and by using this model for different trims, rates of ship specific fuel consumption presented. According to the results of modeling and simulation of the floating body, a reduction of 1.5% of fuel consumption has been achieved due to optimization of the trim.

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After the collapse of the Soviet :union:, the Caspian Sea has become a place of competition between newly independent countries, and the quantitative and qualitative increase of modern sea vessels has been one of the actions of these countries. This research is applied in terms of purpose, descriptive in terms of nature, and survey type in terms of the method of collecting and analyzing information. The obtained data has been analyzed in SPSS software platform. The findings of the research show that there is a significant relationship between the level and class of vessels, the quantity and number of vessels, the equipment and facilities of vessels and the improvement of the security of the borders of the Caspian Sea in Mazandaran province. The obtained results show that the Islamic Republic of Iran had the lowest growth rate of military and security expenses in the matter of navigation among the five countries on the shores of the Caspian Sea, while Russia has the best navigation vessels, equipment and facilities and can It should be a good example for the Islamic Republic of Iran in strengthening the buoyancy of the coast guard and the way of controlling and monitoring the Caspian sea borders.

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In order to monitor and supervise the performance of the country's maritime transport fleet and to create security and prevent violations in the country's waters, the installation of vessel tracking systems on vessels has been on the agenda of the Faraja Border Guard Command since 2013. The research was carried out with the aim of "Identifying the obstacles of maritime units in installing and using the buoyancy tracking system in the Maritime borders". The research is applied in terms of purpose and based on the nature and method of data collection among the qualitative research that has been conducted with the thematic analysis method. The findings of the research showed that the most important obstacles to the installation and use of the buoyancy tracking system include 17 issues including external and internal obstacles. External organizational barriers include; The Ports and Maritime Organization's lack of interest in requiring commercial vessels to install a buoyancy tracking system, the lack of supervision, and the fear of owners of recreational-fishing-commercial vessels from being observed by the Navy and internal obstacles include; The lack of persuasion of the owners of the vessels by the relevant authorities were, in particular, the many disadvantages and problems in the navigation of the buoyancy system and its lack of support.
 

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This research presents a comprehensive data-driven and modeling-based approach to facilitate and improve the design process of waterjet propulsion systems. Initially, a comprehensive statistical design model is developed by extensively reviewing the existing literature and collecting experimental data from commercial examples. Subsequently, two conceptual design algorithms are proposed based on this model to streamline the initial design process. The accuracy and validity of these algorithms are evaluated by comparing their results with available experimental data. Finally, as a case study, a conceptual design of a 500 kW waterjet propulsion system is carried out using these algorithms. The results of this research demonstrate that the proposed method is an efficient and accurate approach for the conceptual design of waterjet propulsion systems. By combining statistical analysis and modeling, this method enables rapid and accurate estimation of design parameters. Additionally, by providing a systematic framework, it assists designers in achieving optimal designs.