Emad Al-Qattan Digital Technologies

Design for experiments is an algorithmic based tool that is found in DP, which help the designer - us in this case - to evaluate and provide a set of possibilities for a designed object. This algorithmic approach and the operation of the tool relies on the set of data (input) provided that derive and control the possible results (outcomes); data in this case, are derived from the parameters that control the sketch. The value of this digital tool - and this computational approach - is to tackle design issues through a an infinite set of possibilities and outcomes, each of these results are evaluated based on measured properties, for example, in this assignment, the volume of the altered object is the source of evaluation.  Image 1: as any of the previous projects that have been presented, creating the sketch is the initial step. In this sketch the geometry (circle) is constrained and controlled through the construction geometry (horizontal and vertical lines), which a...

For the last three weeks we have been working with powercopies (smart cells), understanding the potential, behavior, advantage, and logic of such a digital element in the design process. In "Knowledge Patterns", which is the assignment for this week, we are scripting the instantiation process of the User Defined Feature (UDF) or "special powercopies". This process allows us to achieve the required complexity in a digital model (through increasing or reducing the use of powercopies on a surface). In addition, the automated - and parametrically driven - process also allows the possibility for adjusting and revising the work, unlike the previous attempts in using powercopies.  In this assignment, and after going through the "bigger picture" and goals of knowledge patterns, we first create the layout (framework) for the work that will follow. But, in knowledge patterns the process will be slightly different and a will include a level of procedural ...