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Fellowship Description

Research program title

Machine Learning and Generative Design for Advanced Manufacturing in Mass Customization

Reference number

6000

Supervisor

Program description

Industry 4.0 (I4.0) is the new trend of automation and data exchange in manufacturing technologies. One major characteristic of I4.0 strategy is the strong customization of products under the conditions of highly flexible production, enabling mass customization. Custom product offers inherent advantages over their mass-produced counterparts, as they can provide more comfort, unique and aesthetic appeal, and/or better performance. However, the design for custom product is a very difficult task, and it is still unknown that what kind of system or interface is needed to fully utilize the capability of I4.0 so to meet the constantly varying and unpredictable changes in mass customization. Current Computer-Aided Design (CAD) system requires complex operations with high cognitive load, and lack support for structural optimization to improve the design based on performance and user intentions. The objective of this research program is to apply deep learning into the development of generative design methodologies to account for design changes for each individual’s need in mass customization.

Academic qualifications required

PhD in Mechanical, Computer Science or related fields with experiences in Machine Learning and Design.

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