Description
Traditionally CAD and CAE have mostly been used for documenting designs and providing feedback on how they perform in operation. Improved tools, expanded computing power, and new manufacturing technology are now opening up new possibilities for computational design and engineering, where CAD and CAE are used to actually generate part geometry directly. These tools help engineers explore an array of design strategies and create lighter, stronger, or more-efficient parts by driving the design with functional goals, not just a handful of dimensions on a sketch. This course will provide some context for optimization tools as they exist today and introduce several new tools aimed at this goal-driven design concept.
Key Learnings
- Discover where optimization can fit into the design process
- Discover various types of optimization, including parametric, topological, and lattice techniques
- Discover the tradeoffs between various optimization approaches
- Discover the basic approach for completing a topological optimization on a structural part
Speaker
Michael SmellMike is a Sr. Product Manager on the Fusion 360 team at Autodesk. He has been working on Fusion 360 for nearly 7 years and is currently responsible for the Generative Design portfolio. He has previous experience as a Technical Account Manager in Autodesk’s Manufacturing Named Accounts program, where he was working with customers to help them identify and solve business challenges with Autodesk solutions. Mike has spent nearly 17 years in the CAD and CAE industry, starting his career at Algor, Inc. in 2006, eventually being acquired by Autodesk in 2009. Mike holds a bachelor’s in Mechanical Engineering from the Pennsylvania State University, a master’s in mechanical engineering from the University of Pittsburgh, and has completed a certification for Machine Learning in Business from the MIT Sloan School of Management. Mike has been a regular presenter at Autodesk University since 2009.
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