Technology Category
- Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
- Buildings
- Education
Applicable Functions
- Logistics & Transportation
- Product Research & Development
Use Cases
- Additive Manufacturing
- Rapid Prototyping
About The Customer
The customer in this case study is Bayu Prayudhi, an architectural student at the University of Delft. He undertook the project to investigate the potential of the symbiosis of topology optimization and additive manufacturing for architectural projects. He chose an existing project, an outdoor canopy, designed by ARUP, located at Baku international airport in Azerbaijan for his study. Bayu was supported and supervised by his mentor, Dr. Michela Turrin and Prof. Dr. Ing. U. Knaack, from the department of Architectural Engineering and Technology at TU Delft and Shibo Ren, a Senior Structural Engineer, Buildings Amsterdam at ARUP. The Faculty of Architecture and the Built Environment of TU Delft, where Bayu is studying, has a leading role in architecture education and research in the broadest sense.
The Challenge
The case study revolves around the exploration of the potential benefits of combining topology optimization and additive manufacturing in architectural projects. While this combination is common in industries like automotive or aerospace, it is rarely used in architecture. The challenge was to investigate the potential of this symbiosis for architectural projects. Bayu Prayudhi, an architectural student of the University of Delft, took up this challenge and re-designed an existing architectural project, the outdoor canopy at Baku international airport in Azerbaijan, originally designed by ARUP. The goal was to include topology optimization upfront in the design process and adapt the design for 3D printing. The challenge also involved dealing with boundary conditions such as costs, lead times, and technological limits while striving to combine function, shape, and innovation.
The Solution
The solution involved the use of Altair's HyperWorks suite, especially OptiStruct for optimization tasks. The geometry was imported into HyperWorks and the occurring load cases were applied. Manufacturing constraints arising in additive manufacturing, such as supporting structures and printing direction, were then applied. The design space was defined and the optimization was performed on one node, using the numerical data of different occurring forces. The results were then extrapolated to estimate the impact an overall structural optimization might have. Since no 3D model of the original project was available, the design of the original structure had to be remodeled relying on approximation and assumptions. The total weight of all nodes was averaged. The new 3D printed design led to a potential weight reduction of approximately 32 percent. The use of OptiStruct helped to create a functional and visually captivating design ready for additive manufacturing.
Operational Impact
Quantitative Benefit
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