This thesis presents a computational method generating 3D models based on topology optimization named solidThinking Inspire. The generative modeling procedure is launched with a set of objective conditions and an initial frame. Basing on the prescribed constraints, the program will produce a new shape for 3D model that has optimal perfor-mance, mass-reduction and incredible structure. The technique perfectly inspires all de-signers to disrupt all the baselines of ordinary modelling.
In the thesis, there are analytical comparisons about modelling methods and physical re-sults between solidThinking Inspire and SolidWorks. The 3D models will be designed in SolidWorks. Then solidThinking Inspire will operate the optimization process. MakerBot Replicator+ and Formlabs Form 2 in Arcada lab are two 3D printers being used to print out the prototypes. From the optimizing results, it is clear that the solidThinking Inspire is able to transform a design with diminished weight and unchanging performance. Howev-er, It can be concluded that solidThinking Inspire 2016 currently should be utilized as an add-in for other 3D CAD software. Because there is a lack of technical delicacy during sufficing the optimizing shape. In some particular designs, this limit will induce flawed final prototypes
