Topology Optimization with Geometric Cleanability Requirements
R.J.P. Giele (TU Delft - Computational Design and Mechanics)
Matthijs Langelaar – Promotor (TU Delft - Computational Design and Mechanics)
C. Ayas – Promotor (TU Delft - Computational Design and Mechanics)
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Abstract
This thesis presents several novel methods developed for imposing geometric constraints for cleanability in density based topology optimization. Design for cleanability is a field of growing relevance, and requirements for cleanibility should be taken into account during the design optimization instead of using post-optimization design modifications. The first method presented ensures that a cleaning fluid can passively run off the surfaces of a part under the effect of gravity alone, which assures drainability. Secondly, a method is introduced to ensure designs where the entire surface can be cleaned by jetting a cleaning fluid. Next, building on the previous method, simultaneous optimization of component design and the jet positions is established. This method is presented as a general framework suitable for any geometric requirement. Finally, building on the concepts developed in the aforementioned method, a new feature mapping TO approach is presented with highly flexible feature shapes, parametrized by NURBS. Every proposed method is demonstrated and investigated through various numerical examples, and all methods succeed in ensuring the targeted geometric requirements.