Print To Perform: Validated And Deployed Solutions For Additive Manufacturing
Santa Clara Convention Center, CA, USA
Grand Ballroom D
12:50 - 13:10
While Additive Manufacturing (AM) has opened up possibilities for product design that were not even contemplated before, the industry still struggles with unknowns: part distortions, residual stress, and microstructure defects. The 3DEXPERIENCE Platform provides a digital thread from design to simulation to production. Within this framework, engineers can perform detailed thermo mechanical analyses to predict complex physics, such as microstructure, as-built material properties, and buckling. A faster eigenstrain-based simulation method is also available to obtain distortions for part compensation iterations. These simulation tools were awarded first place in residual stress prediction by the recent NIST AM Benchmark, and have been validated for a range of process types and materials.
Rachel Fu is a Senior Manager at Dassault Systèmes SIMULIA, focusing on solutions that help realize the potential of Additive Manufacturing technologies. She has been with SIMULIA for over 10 years, and spent 5 of those years as an on-site engineer at Boeing Commercial Airplanes. Her simulation specializations include composites, fracture, FE automation, and additive manufacturing. She has a Bachelor of Applied Science Degree in Mechanical Engineering from the University of Waterloo, and a Master of Applied Science Degree in Mechanical Engineering from the University of Toronto.
Dassault Systèmes, the 3DEXPERIENCE Company, has the mission to provide business and people with 3DEXPERIENCE universes to imagine sustainable innovations harmonizing product, nature and life. This purpose has given birth to a unique portfolio of products and Industry Solution Experiences whose key strengths are in their scientific content and deep understanding of industrial processes. The Company's software portfolio spans a wide spectrum of domains from modelling and scientific simulation to production and logistics optimization, and is applicable from Natural Resources to Cities, Transportation, Buildings, Smart Products, Consumer Goods, all the way to biological systems and chemistry.