Session Aims & Scope
In this session, we will delve into the crucial challenge of integrating the physical and informational vessel domains through a unified data repository. Our discussions will center around exploring strategies to seamlessly blend the physical and informational aspects of vessels using a single repository, aligning with the pivotal focus on “intelligence and service orientation” as the core direction for the shipping industry’s transformation and advancement. Specifically, we will examine the deployment of digital twin technology in the ship and offshore facilities sector, which emerges as a powerful approach to boost design efficiency, elevate digital operational controls, and drive progress in associated industries. This technology enables a comprehensive linkage throughout a ship’s lifecycle, encompassing conceptual design, manufacturing scrutiny, and operational management, through a high-fidelity virtual ship model that captures multifaceted physical attributes, varying scales, and interdisciplinary components. We will further deliberate on how this technology integrates physical, informational, and cross-domain twin data to foster a service framework that delivers interconnected intelligent services to all stakeholders in the ship industry. This inclusive provision aims to dismantle information silos among diverse stakeholders, introducing a paradigm shift in the cyber-physical system of the entire ship industry chain, and presenting a novel conceptual framework and tool for cross-domain collaborative testing, validation, assessment, and inspection capabilities of intelligent ships.
Session focuses
The session will focus on but not limited in the following points:
- Digital Twin Ship Design and Optimization
- Digital Twin Ship Modeling and Simulation
- Digital Twin Ship Assembly and Optimization
- Digital Twin Shipbuilding Workshop Scheduling
- Digital Twin Shipbuilding Equipment Maintenance
Session Chair(s)
Chair
Honggen Zhou
Professor, Jiangsu University of Science and Technology
hgzhou205@just.edu.cn
Co-Chair
Jinfeng Liu
Associate professor, Jiangsu University of Science and Technology
liujinfeng@just.edu.cn
Co-Chair
Xiaojun Liu
Professor, Southeast University
liuxiaojun@seu.edu.cn
Session Presentation
1.
Riku Ala-Laurinaho
Head of DigiTwin Lab, Aalto University (Finland)
Title: Digital Twins as Enablers for Collaborative Ship Powertrain Design
Abstract
Ships are complex mechanical systems consisting of components from several competing vendors. Ensuring the compatibility of these components is crucial to reaching the optimal performance of the ship, minimizing fuel consumption, and reducing the maintenance need. Currently, analysis of the compatibility of the components necessitates a considerable amount of manual work, as the components are not shared openly and finding component information is laborious. This results in a current design paradigm with suboptimal components and a lack of collaboration between vendors and system integrators. This presentation proposes a paradigm shift towards a more collaborative and automated design of ship powertrains using intellectual property (IP)-protected digital twins that are shared openly. The proposed approach relies on Digital Twin Web, SSP (System Structure and Parameterization) and FMU (Functional Mockup Interface) standards, and ontologies. This approach allows an iterative development of the ship powertrain, during which both the components and system design are adjusted based on simulation results. The ship powertrain can be optimized earlier in the production process, and fewer adjustments are needed in the later design and production phases. Ultimately, this leads to better performance of ships with less manual work.
2.
Jinfeng Liu
Associate Professor, Jiangsu University of Science and Technology (China)
Title: Digital Twins as Enablers for Ship Construction Process Quality Control
Abstract
The existing ship construction quality prediction methods that rely on static data and subjective experience have problems such as low control efficiency and poor timeliness, which cannot meet the dynamic control requirements of construction quality and seriously restrict the development process of intelligent production lines for ship construction. Therefore, a digital twin driven method for predicting and controlling the quality of ship construction is proposed. Firstly, taking the welding quality of ship components as the research object, create welding quality influencing parameters and real-time acquisition schemes; Secondly, create a digital twin model for welding quality control of ship components, and create a twin data-driven visual monitoring of welding quality; Finally, create a welding quality prediction model based on intelligent algorithms to achieve welding quality control based on process data. We have developed a ship component welding quality prediction and control system, which includes visual monitoring of the welding process, welding process data management, welding residual stress prediction and control function modules. The system has been applied and verified on the assembly and welding site.
3.
Changhui Liu
Associate Professor, Tongji University (China)
Title: Optimal Design of Fixture Layout for Compliant Part with Application in Ship Hull Assembly Process
Abstract
In the ship assembly process, a large number of compliant parts are involved. The ratio of the part thickness to the length or the width is very small. Fixture design is a critical task in the ship assembly process due to its impact on the deformation and dimensional variation of the compliant parts. The current practice in the ship industry, the fixtures are uniformly distributed, which is non-optimal and large deformation will occur. This speech will talk about a series of studies of Prof. Liu for optimal design of fixture layout in the ship assembly process by integrating direct stiffness method and Metaheuristic algorithm, which significantly reduced the deformation of the compliant part in the ship assembly process.
4.
KORIANOV VSEVOLOD
Associate Professor, Bauman Moscow State Technical University (Russia)
Title: Digital twin models driven forming accuracy control method for large scale hyperbolic thick plate
Abstract
The hull plate is the main load-bearing component and important connecting component of a warship, and its manufacturing capacity is an important indicator of a country’s shipbuilding level. The existing ship hull plates have gradually developed towards large-scale, large-curvature and large-thickness. Therefore, taking rapidly reconfigured process for the dynamic evolution forming process of large curved plates as the starting point, the correlation mechanism between forming accuracy feature parameters and process elements is constructed, and the multi-dimensional evolution law of composite forming geometry with knowledge and feature fusion is explored, then the dynamic evolution mechanism of forming accuracy feature is revealed; a software and hardware platform for dynamic control of forming accuracy for large curved plates in the manufacturing state is developed, then the project content with typical ship hull plates is validated.