Generative Design & AI-Assisted Optimization For Mechanical Components
This online engineering PDH course examines the principles, constraints, and verification practices associated with generative design and AI-assisted optimization of mechanical components.
Generative design is a computational approach that uses algorithms to automatically generate optimized component geometries based on specified engineering objectives and constraints.
AI-generated geometries can be complex and non-intuitive, requiring clearly defined design constraints, rigorous verification, and engineering oversight to maintain structural integrity, public safety, and compliance with applicable requirements.
This course covers structural loads, stress limits, fatigue requirements, safety factors, and manufacturability constraints for additive manufacturing, CNC machining, casting, and forging. It also emphasizes Verification & Validation (V&V) using FEA and physical testing, along with risk management, documentation, and configuration control to support safe and professionally defensible AI-assisted designs.
This 1 PDH online course is applicable to mechanical engineers and manufacturing engineers, as well as other technical professionals who are interested in learning more about generative design and AI-assisted optimization of mechanical components.
This PE continuing education course is intended to provide you with the following specific knowledge and skills:
- Understanding the principles of generative design and topology optimization for mechanical components
- Familiarizing with structural loads, stress limits, fatigue life, safety factors, and design codes used as generative design constraints
- Understanding manufacturability constraints for additive manufacturing, CNC machining, casting, and forging
- Learning how to perform Verification & Validation (V&V) of AI-generated designs using FEA and analytical methods
- Familiarizing with risk-based generative design approaches, including decision matrices and FMEA
- Understanding configuration control, documentation, and traceability of generative design decisions and iterations
In this professional engineering CEU course, you need to review the course document titled, “Generative Design & AI-Assisted Optimization For Mechanical Components”, prepared by Brian Lisiewski, P.E.
Once you complete your course review, you need to take a multiple-choice quiz consisting of ten (10) questions to earn 1 PDH credits. The quiz will be based on the entire document.
Upon successful completion of the quiz, print your Certificate of Completion instantly. (Note: if you are paying by check or money order, you will be able to print it after we receive your payment.) For your convenience, we will also email it to you. Please note that you can log in to your account at any time to access and print your Certificate of Completion.