Design of a super-compressible metamaterial by machine learning and additive manufacturing – Presented by Miguel Bessa, Delft University of Technology

Design of a super-compressible metamaterial by machine learning and additive manufacturing – Presented by Miguel Bessa, Delft University of Technology, at 4D Printing & Meta Materials Conference, on April 17, during the 3D Printing Event at Brightlands Chemelot Campus in The Netherlands.

Materials design follows an experimentally-guided trial-and-error process which limits the search for untapped regions of the solution space and introduces difficulties in adapting designs to new circumstances.

This talk discusses how machine learning and optimization can help in the discovery and design process of a lightweight, recoverable and super-compressible metamaterial achieving more than 90% compressive strain without damage.

Within minutes, the machine learning model can be used to optimize designs for different choices of base material, length-scales and manufacturing process.

Interview

What drives you?

Innovation

Why should the delegate attend your presentation?

An emerging field with untapped potential.

What emerging technologies/trends do you see as having the greatest potential in the short and long run?

Bayesian machine learning and optimization

What kind of impact do you expect them to have?

They will transform the way we do science and engineering by finding laws/designs/relationships with Big Data while quantifying uncertainty.

What are the barriers that might stand in the way?

Ethical issues and lack of funding for fundamental work.

“Special Quote”

I think this time A.I. is here to stay…

About Miguel Bessa

Miguel Bessa is an Assistant Professor in the Materials Science and Engineering Department at the Delft University of Technology. He was a postdoctoral scholar in Aerospace at the California Institute of Technology and received his PhD as a Fulbright scholar in Mechanical Engineering at Northwestern University on September 2016. His research involves understanding and modeling materials at different scales in a new experimentally-validated and self-consistent computational framework. He envisions a new era of design of materials and structures through artificial intelligence.

About 3D Printing Event

On April 16 and April 17, 2019, Brightlands Chemelot Campus in Sittard-Geleen, The Netherlands, will host a two-day 3D Printing Event
focused on the entire 3D Printing manufacturing value chain from
design to end product.The event will include five dedicated conferences
and an exhibition.

  • April 16 – 3D Printing Materials Conference – topics: polymers (new materials), metals and multi materials used in 3D Printing
  • April 16 – 3D Design & Engineering Conference
    – topics: 3D design & 3D engineering tools / Visualisation tools,
    Reverse engineering, Value Engineering / Virtual Engineering, Topology
    Optimization, Blockchain & more
  • April 17 – 3D Printing Post-Processing Conference – topics: All actions that are performed after parts are removed from a 3D printer – issues, solutions & future trends.
  • April 17 – AM Integrated Factory Conference
    – topics: Hybrid manufacturing, Implementation of AM systems as part of
    an end-to-end production workflow, Implementation of AM systems in the
    ‘traditional’ production processes
  • April 17 – 4D Printing & Meta Materials Conference
    – topics: 4D Printing from idea to full functionality, Smart materials,
    Applications & opportunities for designing and engineering
  • April 16-17 – Exhibition – Companies active in 3D Printing related fields will be present to showcase the latest developments.

For more information about the event and registration, we invite you to visit https://www.3dprintingevent.com/

This event is organised by Jakajima. For a complete list of upcoming conferences and events, we invite you to visit https://www.jakajima.eu/events/list/

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