Version 1
: Received: 24 October 2024 / Approved: 25 October 2024 / Online: 25 October 2024 (16:23:04 CEST)
How to cite:
Hasan, M. R. Advancements in Automation & Parametric Modeling in Ship Design: Review of Current Technologies. Preprints2024, 2024102062. https://doi.org/10.20944/preprints202410.2062.v1
Hasan, M. R. Advancements in Automation & Parametric Modeling in Ship Design: Review of Current Technologies. Preprints 2024, 2024102062. https://doi.org/10.20944/preprints202410.2062.v1
Hasan, M. R. Advancements in Automation & Parametric Modeling in Ship Design: Review of Current Technologies. Preprints2024, 2024102062. https://doi.org/10.20944/preprints202410.2062.v1
APA Style
Hasan, M. R. (2024). Advancements in Automation & Parametric Modeling in Ship Design: Review of Current Technologies. Preprints. https://doi.org/10.20944/preprints202410.2062.v1
Chicago/Turabian Style
Hasan, M. R. 2024 "Advancements in Automation & Parametric Modeling in Ship Design: Review of Current Technologies" Preprints. https://doi.org/10.20944/preprints202410.2062.v1
Abstract
Automation and is changing the face of ship design, affording unparalleled flexibility, efficiency, and accuracy in Computer-Aided Ship Design. It views modern methods of incorporating automation and parametric techniques in contemporary shipbuilding, with an emphasis on major developments within each field. That allows the setup of the geometry of ships with variable parameters and dramatically speeds up the iterative design process, while automation of tasks hands over repetitive tasks for performance optimization and simplifying the working process. The review enumerates the most advanced tools and methodologies with a profound explanation of the consequences on design optimization and the production workflow: challenges in software interoperability, higher design complexities, and the need for human intervention. It further discusses emergent developments in integrated artificial intelligence and machine learning in automated ship design. Concluding remarks present discussions on future perspectives for realizing a completely automated flow of work in ship design and, in this respect, placing such technologies as an enabler of change in modern shipping.
Keywords
Parametric; Ship Design; Automation; Generative AI
Subject
Engineering, Marine Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
