Foundational | ~3 hr.

Generative Design in Manufacturing

Course | Outcomes and capabilities
Generative design is a design exploration process. Designers or engineers input design goals into the generative design software, along with parameters such as performance or spatial requirements, materials, manufacturing methods, and cost constraints. The software explores all the possible permutations of a solution, quickly generating design alternatives. It tests and learns from each iteration what works and what doesn’t. This course will guide you through the foundational concepts required to perform an analysis. You'll start with a closer look at what generative design is, then progress through model preparation, design space, constraint and conditions and finally explore results generated.
Outline

Generative design is a design exploration process. Designers or engineers input design goals into the generative design software, along with parameters such as performance or spatial requirements, materials, manufacturing methods, and cost constraints. The software explores all the possible permutations of a solution, quickly generating design alternatives. It tests and learns from each iteration what works and what doesn’t. 

This course will guide you through the foundational concepts required to perform an analysis. You'll start with a closer look at what generative design is, then progress through model preparation, design space, constraint and conditions and finally explore results generated.

Course modules

~10 min.
Generative Design Connected Learning Part 1: What is Generative Design
Module

Knowing a little more detailed information about what generative design is and how it can be used will give the proper background to starting later exercises.

~30 min.
Generative Design Connected Learning Part 2: Prepare CAD Model
Module

Knowing a little more about the process of modifying CAD geometry for use within generative design will allow you to take those concepts to real-world exercises.

~30 min.
Generative Design Connected Learning Part 3: Design Conditions
Module

Design conditions allow us to input expected loads and constraints to the model at hand. These load cases allow us to represent different conditions the desired outcome will have to endure.

~15 min.
Generative Design Connected Learning Part 4: Design Criteria
Module

This module covers more details about target objectives and manufacturability of the expected outcomes from generative design in addition to material selection and costing.

~10 min.
Generative Design Connected Learning Part 5: Preview and Generate
Module

In this module, we will step through leveraging Pre-check to ensure models will run, Previewer to get initial insight into what outcomes may look like, and submitting jobs for generation.

~15 min.
Generative Design Connected Learning Part 6: Explore
Module

With outcomes produced, we step through each of the methods for interrogating and comparing results to help narrow down outcomes.