2019 : AA SUMMER DLAB

AA Summer DLAB 2019

22 July – 09 August 2019

London, UK

Summer DLAB 2019 has explored the themes of generative design, material computation, and large-scale fabrication and assembly technologies with the ambition to design and produce a 1:1 scale structure in the outdoor area of AA London. This objective was investigated by focusing on a combination of structural, morphological, and contextual factors which the design intervention was expected to respond in order to differentiate its material and geometrical organization.

Traditional sheet forming techniques employ incremental deformations to a sheet until it is formed into its final shape, and the forming tool can be attached to a CNC machine or a robotic arm. Robotic metal sheet forming opens up new opportunities in the design and fabrication of component-based aggregations that can be facilitated for cladding purposes or spatial enclosures.

During AA Summer DLAB 2019, our explorations were focused on the means of how to integrate geometrical, structural and material properties within the agency of robotic incremental sheet forming. In engineering, there is a need for light materials able to withstand different load conditions.

The structural behavior of incrementally formed metal sheets has the potential to yield architecturally interesting and materially efficient assemblies. The research agenda aimed to link the notions of complexity and simplicity throughout the design and fabrication processes. While complexity is generated throughout computational form-finding and analysis techniques, simplicity lies in how architectural information relating to geometry, analysis, and fabrication can be seamlessly transferred between various digital and physical platforms.

Robotic incremental sheet metal forming was implemented for the design and fabrication of complex panels / components that will be assembled to create a spatial enclosure with selected performative criteria. Sheet metal forming methods in traditional manufacturing industries are well-documented and established for their effectiveness and precision. This process sets up a set of constraints which have direct feedback on the computational form-finding process. Our workflows have explorde the evaluation and interpretation of traditional fabrication processes towards their advancement within the domain of computational form-finding, analysis, and robotic tool path generation protocols. The AA facilities include a KUKA KR-60 and KUKA KR-30.

Credits

Programme Head: Dr. Elif Erdine
Visiting School Director: Christopher Pierce

Tutors: Teoman Ayas, Abhinav Chaudhary, Elif Erdine, Miguel Escallon, Giulio Gianni, Angel Lara Moreira, Dylan Wozniak-O’Connor, Alvaro Lopez Rodriguez

Students: James Haliburton, Shuyao Dai, Tong Xu, Fahad Salah Alshethri, Mishary Bin Khaled Al-Saud, Hiathem El-Hammali, Mohammad Suleiman, Roberto Borberg, Vedran Jusufovic, Beichen Xie, Charles Fang, Abhinav Gupta, Meghna Goel, Abhyudaya Agarwal, Oriana Sovieri, Thamonwan Chunnaha, Agneesh Brahmbhatt, Yi Cheng Su