Student Projects

Friday, 12 April 2024 at 14:00 (CET)

1 – 5 July 2024

Additive Manufacturing (AM, also known as 3D printing) technologies are nowadays continuously evolving in terms of processable materials, resolution, printing volume and quality. This evolution is extending design boundaries; it is also pushing the development of cutting-edge and high-added value ideas in a wide range of fields, from biomedical to architecture, from aerospace to product design and computer graphics. Designers have now the possibility to explore and develop tailored and advanced solutions by exploiting the potentialities of these technologies at the design level. Functional integration, multi-material printing, local and multi-scale tuning of properties, organic shapes are only a few of the design opportunities nowadays available. However, the proper exploitation of such a wide range of opportunities is calling for a new mindset which is strongly multidisciplinary and capable of mastering interlinked requirements. The effectiveness of a 3D-printed solution relies on the ability to successfully reach the optimum among materials properties, digital modelling and the control of the manufacturing process. The building of in-depth and multidisciplinary knowledge on all these aspects is fundamental but not sufficient. It is only through the proper development and implementation of design methods, tools and processes that ideas can be transformed into innovative 3D-printed products. Design for Additive Manufacturing (DfAM) means creating the appropriate design mindset for exploiting the maximum potentialities of AM technologies. This exploitation should occur in every phase of the process, from the idea generation to the post-processing step. Computational and algorithm-based design strategies are essential to the creation of such a mindset; they help designers to master the potential of AM technologies both at the design and fabrication level. Successful implementation of these strategies will stimulate the exploration of the design space, model complex and multidisciplinary phenomena, and to enable the advanced control of the fabrication process. Learning Objectives: - Explain the fundamentals and challenges associated with AM technologies - Explain the fundamentals of computational DfAM methods - Apply the digital workflow for customized product design - Apply state-of-the-art computational design tools and methods to design for AM - Identify appropriate and innovative application scenarios for AM This Summer School is jointly organised by researchers from TU Delft and Politecnico di Milano, ETH Zurich and Pennsylvania State University

ETH Zürich, Switzerland

There are no registration and accommodation fees. Students from IDEA League member universities selected to participate in a summer school only have to pay for their own travel costs where applicable.

Application is open to Master and PhD Students of the member universities of the IDEA League Alliance http://idealeague.org : - Chalmers University of Technology - ETH Zürich - Politecnico di Milano - RWTH Aachen - TU Delft

In order to apply you need to **login to SiROP with your university account**. When your email belongs to a partner university the affiliation is created automatically. After successful affiliation you can return to this event and you will find a **button "Apply" right at the top**. If you need to affiliate manually please see: http://bit.ly/sirop-affiliate

The following documents will be requested from you as attachments you will have to upload with your application: - Curriculum vitae & publications list - Letter of motivation - Letter of recommendation (optional) - Supervisor approval (for PhD students from Chalmers)

For more information please read the FAQ: https://idealeague.org/students/summerschools/ If you have any further questions regarding the application process, please contact the organizer office@idealeague.org.