Contemporary Research on Improving the Performance of Modern Marine Vehicles

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: closed (10 September 2024) | Viewed by 2964

Special Issue Editors

School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
Interests: green shipping; marine hydrodynamics; ship dynamics; resistance and powering; ship design and optimization; nonlinear wave–body interaction
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China
Interests: ship vibration; structural dynamics; hydrodynamic noise; radiated noise; vibro-acoustic coupling; vibration and acoustics of composite structures

Special Issue Information

Dear Colleagues,

Marine transportation plays a crucial role in global trade; the performance of modern marine vehicles has significantly improved over the past few decades, largely driven by IMO regulations. In addition, the demand for high-quality food and stable energy supplies brings new applications and challenges for ships and marine vehicles. As a result, researchers and engineers are striving to develop advanced technologies to improve the performance of modern marine vehicles in alignment with the rapid expansion of industry trends, including IoT, data mining, digital twin, AI, etc.

This Special Issue aims to bring together cutting-edge research and insights from experts in the field, focusing on improving the performance of modern marine vehicles in both design and off-design conditions. Subsequently, it will cover a range of topics related to marine vehicle performance, including (but not limited to):

  • The design and optimization of hull forms for improved hydrodynamic performance;
  • The development of innovative propulsion systems, such as wind-propulsion, hybrid-electric and fuel cell systems;
  • The prediction method and control technology of ship vibrations and underwater noise;
  • The prediction and protection of ship shock vibration and noise;
  • The application of composite materials in the ship’s design;
  • Novel technologies for reducing GHG emissions and improving fuel efficiency;
  • Emerging technologies for ship performance monitoring;
  • The prediction of marine vehicle performance in a seaway;
  • The optimization of ship operation;
  • Data analytics in maritime applications.

We hope this Special Issue will provide a valuable resource for worldwide researchers, engineers, and practitioners working in the marine vehicle engineering and design field. We believe the articles in this issue will inspire new ideas and innovations, leading to further advancements in the performance of modern marine vehicles.

Dr. Shukui Liu
Prof. Dr. Fuzhen Pang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • green shipping
  • marine hydrodynamics
  • ship vibration and noise
  • composite materials for vibration and noise reduction
  • low noise design for modern marine vehicles
  • model experiment and full-scale measurement
  • holistic modeling of the resistance and propulsion system
  • maritime safety
  • sensor technology, data mining, machine learning, artificial intelligence

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

21 pages, 10114 KiB  
Article
Experimental and Simulation Study on Flow-Induced Vibration of Underwater Vehicle
by Yucheng Zou, Yuan Du, Zhe Zhao, Fuzhen Pang, Haichao Li and David Hui
J. Mar. Sci. Eng. 2024, 12(9), 1597; https://doi.org/10.3390/jmse12091597 - 9 Sep 2024
Viewed by 662
Abstract
At high speeds, flow-induced vibration noise is the main component of underwater vehicle noise. The turbulent fluctuating pressure is the main excitation source of this noise. It can cause vibration of the underwater vehicle’s shell and eventually radiate noise outward. Therefore, by reducing [...] Read more.
At high speeds, flow-induced vibration noise is the main component of underwater vehicle noise. The turbulent fluctuating pressure is the main excitation source of this noise. It can cause vibration of the underwater vehicle’s shell and eventually radiate noise outward. Therefore, by reducing the turbulent pressure fluctuation or controlling the vibration of the underwater vehicle’s shell, the radiation noise of the underwater vehicle can be effectively reduced. This study designs a cone–column–sphere composite structure. Firstly, the effect of fluid–structure coupling on pulsating pressure is studied. Next, a machine learning method is used to predict the turbulent pressure fluctuations and the fluid-induced vibration response of the structure at different speeds. The results were compared with experimental and numerical simulation results. The results show that the deformation of the structure will affect the flow field distribution and pulsating pressure of the cylindrical section. The machine learning method based on the BP (back propagation) neural network model can quickly predict the pulsating pressure and vibration response of the cone–cylinder–sphere composite structure under different Reynolds numbers. Compared with the experimental results, the error of the machine learning prediction results is less than 7%. The research method proposed in this paper provides a new solution for the rapid prediction and control of hydrodynamic vibration noise of underwater vehicles. Full article
Show Figures

Figure 1

16 pages, 4544 KiB  
Article
A Study of PI Controller Tuning Methods Using the Internal Model Control Guide for a Ship Central Cooling System as a Multi-Input, Single-Output System
by Tae-Youl Jeon and Byung-Gun Jung
J. Mar. Sci. Eng. 2023, 11(10), 2025; https://doi.org/10.3390/jmse11102025 - 21 Oct 2023
Cited by 1 | Viewed by 1649
Abstract
Since the variable-speed seawater pump and the three-way valve of a ship’s central cooling system are forms of feedback from the same output signal, these controllers may cause interference when they are not coordinated. Therefore, studying an efficient control tuning method for a [...] Read more.
Since the variable-speed seawater pump and the three-way valve of a ship’s central cooling system are forms of feedback from the same output signal, these controllers may cause interference when they are not coordinated. Therefore, studying an efficient control tuning method for a central cooling water system is necessary. In this study, a central cooling water system is modeled using Matlab Simulink by utilizing an actual operation dataset, and unknown parameters are estimated for fine-tuning. The simulation model is then verified using the second operating dataset. Additionally, transfer functions are developed for the freshwater output temperature against the three-way valve openness input and the electrical power frequency input to the seawater pump motor, supposing that the two systems are independent. Then, the two PI controllers are tuned using internal model control (IMC) filters. Moreover, the modified internal model control tuning method is suggested, using the character of the central cooling system, which has a large time constant for the heat exchanger system with the seawater pump and a small time constant for the three-way valve system. This method simplifies the tuning of the two combined PI controllers, enhancing the seawater pump’s overall efficiency and the three-way valve’s operation. This study presents the proposed tuning methods based on the IMC filter and modified IMC guide, which confirmed the simple determination of the gain values of the PI controller with the efficient control of the rotational speed of the seawater pump and the three-way valve with reasonable control of the freshwater outlet temperature. Full article
Show Figures

Figure 1

Back to TopTop