Print Email Facebook Twitter Cable-Driven Parallel Robot Design for Scanning 3D Art Objects Title Cable-Driven Parallel Robot Design for Scanning 3D Art Objects Author Waal, Mees (TU Delft Mechanical, Maritime and Materials Engineering) Contributor Tempel, P. (mentor) van der Wijk, V. (mentor) Sakes, A. (graduation committee) Herder, J.L. (graduation committee) Degree granting institution Delft University of Technology Programme Mechanical Engineering | BioMechanical Design Date 2021-09-24 Abstract Cable Driven Parallel Robots, or CDPRs, might provide art historians and curators with an improved automated way of scanning 3D art objects. This application requires CDPRs to rotate around a 3D object with large panning and tilting, while avoiding collisions. While no designs exist for this purpose, this article investigates and proposes new cable robot geometries. First, we built a workspace model to quantify the performance of a design. A brainstorm and the ACCREx method then provided us with over 100 promising robot architectures. Their subsequent testing with the workspace model revealed the nine most promising architectures. Lastly, a geometry optimization resulted in the most favourable CDPR geometries. It appeared that mainly cable force limits, cable-statue and platform-statue collision are limiting the workspace of the CDPRs. In the end, the best enclosing and non-enclosing design are capable of reaching 29% and 16% respectively of the required 180 degrees workspace around the statue. Without extra panning and tilting these percentages are 79% and 66% respectively. Both designs show to which extend a statue can be scanned by a CDPR from one configuration. Subject Cable-Driven Parallel RobotGeometric Design3D ArtScanningLarge RotationsInterfering Object To reference this document use: http://resolver.tudelft.nl/uuid:940a76d1-3547-463b-9055-9b2a6776f4be Part of collection Student theses Document type master thesis Rights © 2021 Mees Waal Files PDF ThesisMeesWaal.pdf 26.75 MB Close viewer /islandora/object/uuid:940a76d1-3547-463b-9055-9b2a6776f4be/datastream/OBJ/view