Abstract
This work proposes ModiYacht, a novel design tool for modelling optimised and customer-centred yacht hull forms. The proposed system incorporates parametric, generative, attribute-based and interactive design models. Parametric modelling uses high-level shape modifiers as quality operators to generate smooth and feasible designs. Because innovative and creative design is essential to a successful product, we also introduce an N-subpopulation-based teaching learning-based optimisation model that generates a variety of solutions to meet user design and performance requirements. Design attributes are developed using machine learning to shorten the communication gap between customers and designers. The generative designs can be used to provide interactive models for customers so that they can fully appreciate the hull-form's features and appearance prior to manufacturing. For this purpose, ModiYacht uses a design-space-shrinking technique during optimisation that guides the exploration process to focus the computational workload on user-preferred options.
Original language | English |
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DOIs | |
Publication status | Published - 2022 |
Event | SNAME 14th International Marine Design Conference, IMDC 2022 - Vancouver, Canada Duration: 26 Jun 2022 → 30 Jun 2022 |
Conference
Conference | SNAME 14th International Marine Design Conference, IMDC 2022 |
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Country/Territory | Canada |
City | Vancouver |
Period | 26/06/22 → 30/06/22 |
Bibliographical note
Publisher Copyright:© IMDC 2022. All right reserved.
Keywords
- Yacht hull design
- attribute-based design
- computer-aided design
- generative design
- interactive design
- optimisation
- parametric design