Image Sampler of Grasshopper saves life if used responsibly. While explaining the component to this year’s ARCH362 students, I used this simple example that generates numbers from a beautiful picture of “metal foam” and uses it to generate lots of circles: Metal foams are lightweight but strong materials, that are typically produced by injecting gas into the liquid metal. Of course, it becomes easier to teach something when you manage […]
Here is another student project from the three-day workshop we conducted together with Fulya Akipek and Mehmet Ali Altın. Briefly, the idea was to develop a system of cogwheels that spin together to animate an entire pattern. It was about to develop a kinetic system with a simple Arduino-based setup, probably with one servo and a motion sensor. The integration of the cogwheels system and the underlying pattern was interesting […]
Here is one of the student’s works from this semester’s parametric modeling elective course. We refer the first couple of hours in molding of concrete as its “alive” phase. During this phase, due to various reasons concrete sweats, respires and in a way contains an inner circulation of forces. This phase ends when concrete dries and hardens, creating a kind of its fossil. Air bubbles are frozen inside and some even are seeable from on […]
This was the initial example of image processing in our Parametric Modeling class. I saw this design on Maxthreads Architectural Design’s website (especially here). Hand-drawn and digital diagrams can also be digitized and used in order to describe certain parameters for design formation. Such algorithms would similarly use the Image Sampler Component of Grasshopper. In the algorithm below, image data is used to capture black pixels as attractors of a Voronoi subdivision. […]
This was my old plan to work with images in Grasshopper. Certainly, that was not the result I expected, but this could be counted as a starting point. After seeing beautiful circle packing compositions here, I decided to program Grasshopper, so that it’ll create a subdivision, based on image data. This was the initial version, just subdividing a plane with Voronoi points and visualizing it according to the image’s color […]
