Simulation-Driven Optimisation & Design Exploration with special focus on Additive Manufacturing
Date: Wednesday 8th June
Location: Dassault Systèmes UK, Riley Court, Suite 9, Milburn Hill Road, CV4 7HP, Coventry
The advent of Additive Manufacturing Techniques has increased the value of close links between Design and Manufacturing to unprecedented levels. This seminar will cover the unique parametric and non-parametric Design Exploration and Optimisation capabilities within the SIMULIA portfolio and then show how these methods may be deployed to maximize the benefits offered by Additive Manufacturing (AM) and 3D-printing.
What’s immediately clear about AM versus traditional manufacturing techniques is the level of freedom in both the design and the process. But that freedom brings with it more variability. These variables add up to a growing necessity for cost reduction and quality maximisation that can only be addressed effectively by powerful software solutions in order to stay competitive within the AM space.
In the morning, we will focus on SIMULIA’s overall solution for Additive Manufacturing, highlighting the use of each of these technology components. Attendees will learn about SIMULIA’s advanced capabilities for Additive Manufacturing:
- Simulating a print process to predict temperature, distortion, and stress
- Minimising the cost of AM processes with respect to print time and material
- Developing a part topology using realistic constraints specific to AM processes
- Creating a specialised lattice structure for light-weighting and biomimetic designs
- Defining the right support structures that are cost efficient and effective for the print
- Reconstructing geometries for re-parameterisation and continuity in the PLM system
In the afternoon, we will take a deep dive into SIMULIA’s Simulation Process Integration & Automation, Design Exploration and Optimisation technologies. We will outline how Isight and Tosca can be used to:
- Improve the efficiency of your simulation processes
- Facilitate the wider use of simulation tools and data across an organisation
- Rapidly assess design options and trade-off requirements
- Consider the impact of variability to reduce risk
- Conduct parametric and non-parametric design optimisation to reduce product costs and increase design performance & quality
Who should attend?
Engineers, research specialists, designers, and manufacturing experts working across the Additive Manufacturing supply chain should attend this seminar.
Great value will be gained by anyone interested in Simulation Process Integration & Automation, Design Space Modeling & Exploration and Design Optimisation technologies seeing the application of these technologies across such an interesting and complex design space.