GENERATIVE DESIGN (GENERATIVE)

The focus of this ASSESS Initiative theme is to advocate for and enable a significant expansion of the breadth of capabilities of Generative Design and the use of Generative Design as an enabler of changing the design paradigm process through Engineering Simulation.

Generative Design is the use of algorithmic methods to quickly and automatically, or iteratively, transform requirements, constraints, uncertainties, and design space to create/drive viable designs or outcomes. Requirements, constraints, and uncertainties may include factors from multiple areas including: design, performance, manufacturing, usability, aesthetics, ergonomics, and cost.

Generative Design represents the next big Technology Driver in the Engineering Simulation domain and most major Engineering Simulation vendors are actively pursuing some form of Generative Design strategy.  Most are starting with coupling Topology Optimization with Additive Manufacturing (hopefully with manufacturing constraints in the optimization and uncertainty included).  But this is just the beginning and the vision of Generative Design is not limited to a single form of optimization or a single form of manufacturing.


GENERATIVE MEMBERS ONLY

Generative theme 2017 Congress Working Session report
by Matt Ladzinski, Vice President, Americas, NAFEMS


GENERATIVE PRESENTATIONS 

Shape and Topology Optimisation LevelSet Method
2017 CAE Geometry Workshop by H. Alicia Kim and Renato Picelli

Generative Design: A New Class of CAE Challenges
2017 CAE Geometry Workshop by Ted Blacker

Geometric Challenges for the Blind Watchmaker
2017 CAE Geometry Workshop by Mark Price


GENERATIVE LINKS 

Generative Design: Advice from Algorithms
Digital Engineering Focus on CAD and PLM by Kenneth Wong

Generative Design – What’s that?
CIMdata blog by Keith Meintjes, Executive Consultant

Artificial Intelligence Wants a Seat at the Design Table
Digital Engineering Focus on CAD and PLM