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Advanced Ship Technology Development and Design
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Advanced Ship Technology Development and Design

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: 5 August 2024 | Viewed by 909

Special Issue Editors

Dr. Haibin Wang

E-Mail Website
Guest Editor
Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, Glasgow G4 0LZ, UK
Interests: life cycle analysis; marine transportation; innovative power solutions; sustainable fuels; marine emissions; CFD simulations; digital twin model
Special Issues, Collections and Topics in MDPI journals
Dr. Han Yuan

E-Mail Website
Guest Editor
Mechanical Engineering, College of Engineering, Ocean University of China, Qingdao 266100, China
Interests: marine power system; ship waste heat utilization; desalination; thermodynamic cycle; green ship technology; ship informatization platform; digitalized production
Dr. Christos I. Papadopoulos

E-Mail Website
Guest Editor
School of Naval Architecture & Marine Engineering, National Technical University of Athens, 15780 Athens, Greece
Interests: marine engineering; marine shafting systems; tribology; digital twins

Special Issue Information

Dear Colleagues,

This Special Issue aims to explore ground-breaking advancements in maritime technologies, with a primary focus on key themes such as sustainable ship technology, cutting-edge ship design, digital twin technology, shipyard production innovations, and the end-of-life treatment of vessels.

The maritime industry is currently undergoing significant transformations, propelled by an increasing emphasis on sustainability, efficiency, and lifecycle management. Sustainable ship technology, which encompasses inventive propulsion systems, energy-efficient designs, and environmentally friendly solutions, plays a crucial role in addressing environmental concerns and complying with stringent regulations.

Advancements in ship design extend beyond traditional methods and now integrate state-of-the-art principles in hydrodynamics, materials science, and structural engineering. The incorporation of digital twin technology emerges as a pivotal facilitator, offering a virtual replica of physical assets throughout their lifecycle. This enables the real-time monitoring, predictive maintenance, and optimization of ship performance, contributing to heightened safety, reliability, and operational efficiency.

Shipyard production techniques are undergoing a paradigm shift with the implementation of advanced manufacturing processes, automation, and digitalization. This Special Issue explores the latest methodologies employed in ship construction and reveals how technological advancements streamline production, reduce costs, and enhance overall productivity.

Additionally, this Special Issue sheds light on the end-of-life treatment of ships, which is a critical concern. As vessels approach the end of their operational lives, their responsible and sustainable disposal is imperative. The Special Issue therefore discusses environmentally friendly strategies for ship recycling, waste management, and the repurposing of materials, with the aim of minimizing the carbon footprint of maritime activities.

By uniting diverse perspectives and the latest research findings, this Special Issue aims to offer a comprehensive overview of the evolving landscape of maritime technologies. Researchers, engineers, and practitioners in the field will discover valuable insights into the multifaceted challenges and opportunities associated with sustainable ship technology, advanced ship design, the application of digital twins, shipyard production techniques, and end-of-life treatment.

Dr. Haibin Wang
Dr. Han Yuan
Dr. Christos I. Papadopoulos
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 ship technology
  • advanced ship design
  • digital twin applications
  • shipyard production techniques
  • end-of-life treatment
  • advanced ship power system
  • shipboard energy storage and conversion

Published Papers (2 papers)

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Research

22 pages, 1552 KiB  
Article
A π-Theorem-Based Advanced Scaling Methodology for Similarity Assessment of Marine Shafting Systems
by Georgios N. Rossopoulos and Christos I. Papadopoulos
J. Mar. Sci. Eng. 2024, 12(6), 894; https://doi.org/10.3390/jmse12060894 - 27 May 2024
Viewed by 139
Abstract
This paper introduces a rigorous and comprehensive approach to the assessment of marine shafting systems through the utilization of an advanced π-Theorem-based scaling methodology. Integrating journal-bearing similarity assessment and shaft-line scaling methodology with advanced dimensional analysis, the study aims to provide a methodology [...] Read more.
This paper introduces a rigorous and comprehensive approach to the assessment of marine shafting systems through the utilization of an advanced π-Theorem-based scaling methodology. Integrating journal-bearing similarity assessment and shaft-line scaling methodology with advanced dimensional analysis, the study aims to provide a methodology foundation for systematic replication and analysis of marine shafting systems through scaled models. The proposed scaling methodology ensures geometric and mechanical similarity in terms of shaft-line deflection, considering key scaling parameters such as shaft length, diameter, weight, loads, rotational speed, material properties, bearing locations, and offsets. The advanced dimensional analysis computes specific non-dimensional ratios to guarantee a close resemblance between a real-size system and a scaled lab model. The methodology is analytically derived and validated with numerical simulations for a case study, conducting comparative analysis, evaluating discrepancies, and utilizing the integrated framework for experimentation. Full article
(This article belongs to the Special Issue Advanced Ship Technology Development and Design)
19 pages, 3823 KiB  
Article
Process Planning for Large Container Ship Propeller Shaft Machining Based on an Improved Ant Colony Algorithm
by Guotai Du, Hongkui Ma, Yu Bai and Ning Mei
J. Mar. Sci. Eng. 2024, 12(5), 841; https://doi.org/10.3390/jmse12050841 - 18 May 2024
Viewed by 370
Abstract
To accommodate the production and manufacture of complex and customized marine components and to avoid the empirical nature of process planning, machining operations can be automatically sequenced and optimized using ant colony algorithms. However, traditional ant colony algorithms exhibit issues in the context [...] Read more.
To accommodate the production and manufacture of complex and customized marine components and to avoid the empirical nature of process planning, machining operations can be automatically sequenced and optimized using ant colony algorithms. However, traditional ant colony algorithms exhibit issues in the context of machining process planning. In this study, an improved ant colony algorithm is proposed to address these challenges. The introduction of a tiered distribution of initial pheromones mitigates the blindness of initial searches. By incorporating the number of iterations into the expectation heuristic function and introducing a ‘reward–penalty system’ for pheromones, the contradictions between convergence speed and the tendency to fall into local optima are avoided. Applying the improved ant colony algorithm to the process planning of large container ship propeller shaft machining, this study constructs a ‘distance’ model for each machining unit and develops a process constraint table. The results show significant improvements in initial search capabilities and convergence speed with the improved ant colony algorithm while also resolving the contradiction between convergence speed and optimal solutions. This verifies the feasibility and effectiveness of the improved ant colony algorithm in intelligent process planning for ships. Full article
(This article belongs to the Special Issue Advanced Ship Technology Development and Design)
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