Koo, B;
(2016)
Computational fabrication guided by function and material usage.
Doctoral thesis , UCL (University College London).
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Abstract
This thesis introduces novel computational design paradigms for digital fabrication guided by function and material usage. With these approaches, the users can design prototypes of mechanical objects by specifying high-level functions of the objects, instead of manipulating low-level geometric details. These methods also provide the users with design suggestions which minimise material wastage during the design process. The benefit of these approaches is that the users can focus on the exploration of the design space without worrying about the realisability of the design or efficient material usage. The shallow exploration of the design space due to the lack of guidance of the users in terms of function and material usage has been one of the most critical obstacles to achieving good designs using existing design tools. We verify this hypothesis by designing and fabricating a variety of objects using our computational tools. The main contributions of the thesis are (i) clearly defined sets of constraints regarding function and material usage in the design and fabrication process, (ii) novel optimisation methods for generating designs subject to the constraints and (iii) computational tools which guide the users to design objects that satisfy the constraints.
Type: | Thesis (Doctoral) |
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Title: | Computational fabrication guided by function and material usage |
Event: | UCL (University College London) |
Open access status: | An open access version is available from UCL Discovery |
Language: | English |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/1508186 |
1. | United States | 11 |
2. | United Kingdom | 3 |
3. | India | 2 |
4. | France | 1 |
5. | China | 1 |
6. | Poland | 1 |
7. | Germany | 1 |
8. | Europe | 1 |
9. | Russian Federation | 1 |
10. | Brazil | 1 |
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