Integration of digital imagery for topology optimization

To manufacture high-quality products with low manufacturing costs and optimal performance, better design concepts are required. The initial concept can lead to inefficient structural higher if the topology is not optimal. Topology optimization enables designers reach their goals faster, more accurately, cost-effectively. However, geometry obtained through manufacturing-ready due non-smooth boundaries gray level images, which require post-processing implementation by engineers. Various researchers have used different image processing techniques convert into a binary map address this issue. This paper focuses on using evaluate differences in designs induced meshing. study aims aid parametric understanding of targeting same application introducing two new parameters: similarity ratio conformity ratio. results compare an structured unstructured meshes. Topological algorithms applied mechanical problems allow for reducing structure's mass while ensuring its rigidity. final structures may differ problem depending whether they were meshed regularly or irregularly. article characterizes between approach.