The manufacturing landscape has changed significantly with the development of modern technologies in additive manufacturing. While 3D printing first made its impact in rapid prototyping during the design process, it's now evolved into an important component of manufacturing itself. This course will teach participants how to leverage modern CAD technologies in the product design process for additive manufacturing methods. Attendees will become familiar with the entire CAD pipeline for additive manufacturing, from developing a concept to designing a three-dimensional surface or volume.
The course covers collaborative design, virtual simulation, numerical optimization for automatic design, generative modeling (e.g., topology optimization), and the hardware-software interface. The instructors will also overview additive manufacturing hardware and materials.
The course balances high-level discussion with hands-on experience using a selected set of tools. Participants will be exposed to new possibilities at the interface between CAD and additive manufacturing and will see how these technologies accelerate the R&D cycle. The course will conclude with talks by industry experts who design CAD tools and apply them to engineering projects. Instructors will also facilitate connections to the local additive manufacturing community.
It is highly recommended that you apply for a course at least 6-8 weeks before the start date to guarantee there will be space available. After that date you may be placed on a waitlist. Courses with low enrollment may be cancelled up to 4 weeks before start date if sufficient enrollments are not met. If you are able to access the online application form, then registration for that particular course is still open.
- Understanding and manipulating the assorted expressions of geometry in a CAD system as it applies to additive manufacturing
- Understanding the underpinnings of and experiment with assorted software/algorithms for simulating physical objects before they are manufactured
- Formulating optimization problems for improving a design based on coupling with simulation, constraints of additive manufacturing hardware, and design objectives
- Writing software for translating a high-level surface or volume representation into a printable object suitable for communication to hardware
- Identifying drawbacks of assorted additive manufacturing hardware and the potential disconnect between a digitally-designed object and its printed counterpart
- Experiencing demonstrations of assorted CAD-driven manufacturing pipelines firsthand
- Recognizing assorted challenges of implementing and using CAD within larger engineering pipelines through case studies presented by industry members
Who Should Attend:
This course is designed for research scientists, engineers, developers, designers, and project managers in industries that are involved in translating concepts to physical objects/products. Relevant areas include the automotive industry, robotics, aerospace, defense, mechanical engineering, product design, computer graphics, shipbuilding, biomedical engineering, textiles, prosthetics manufacturing. Experience with specific CAD software and additive manufacturing is not needed.
Laptops or tablets with the ability to run Onshape (a full-cloud CAD system) are required for this course.
Day 1: Modeling for additive manufacturing
- Modeling surfaces (NURBS)
- Modeling volumes
- Points, meshes, and acquisition methods
- Parametric modeling
- Laboratory: Designing the boundary representation of a simple object
- Evening reception for students, faculty, and Boston-area CAD engineers
Day 2: Simulation for additive manufacturing
- Basics of mechanics
- Modeling materials
- Finite element method
- Multiphysics simulation
- Laboratory: Simulation of rigid bodies and fluids
Day 3: Design optimization for additive manufacturing
- Introduction to optimization
- Optimization of parametric models
- Topology optimization
- Laboratory: Topology optimization for minimum compliance
- Evening: Team engineering challenge combining optimization, simulation, and design
Day 4: The hardware--software interface for additive manufacturing
- Additive manufacturing hardware and materials
- Low-level software/algorithms for manufacturing pipelines
- Demonstration of hardware and software tools
- Lab tours at MIT
Day 5: Interactive case study
- An interactive demonstration of the complete workflow
Morning: Product design, simulation/verification
Afternoon: Optimization and fabrication
- Guest speakers from industry
This course runs 9:00 am - 4:30 pm Monday through Friday.
There will be a networking reception on Monday evening, and a team engineering challenge on Wednesday evening.
Professor Wojciech Matusik is an Associate Professor of Electrical Engineering and Computer Science at the Computer Science and Artificial Intelligence Laboratory at MIT, where he leads the Computational Fabrication Group. Before coming to MIT, he worked at Mitsubishi Electric Research Laboratories, Adobe Systems, and Disney Research Zurich. He studied computer graphics at MIT and received his PhD in 2003. He also received a BS in EECS from the University of California at Berkeley in 1997 and MS in EECS from MIT in 2001. His research interests are in direct digital manufacturing and computer graphics. He holds more than 40 US patents. In 2004, he was named one of the world's top 100 young innovators by MIT's Technology Review Magazine. In 2009, he received the Significant New Researcher Award from ACM SIGGRAPH. In 2012, PI Matusik received the DARPA Young Faculty Award and was named a Sloan Research Fellow. He currently serves on the DARPA ISAT Study Group.
Professor Justin Solomon is an Assistant Professor of Electrical Engineering and Computer Science at the Computer Science and Artificial Intelligence Laboratory at MIT, where he leads a new Geometric Data Processing Group. Prior to joining the MIT faculty, Solomon was an NSF Mathematical Sciences Postdoctoral Research Fellow in Princeton's Program in Applied and Computational Mathematics. He received his PhD in computer science from Stanford University in 2015, where he also received an MS in computer science (2012) and a BS in mathematics and computer science (2010). During his PhD, Solomon was supported by the National Defense Science and Engineering Graduate Fellowship (NDSEG), the Hertz Fellowship, and the NSF Graduate Research Fellowship Program (GRFP). Solomon also has worked at Pixar Animation Studios (2007-2012) and MITRE Corporation (2005-2007). His textbook Numerical Algorithms covers numerical methods for geometry, graphics, robotics, and other computational applications.
This course takes place on the MIT campus in Cambridge, Massachusetts. We can also offer this course for groups of employees at your location. Please complete the Custom Programs request form for further details.
|Fundamentals: Core concepts, understandings, and tools (30%)||30|
|Latest Developments: Recent advances and future trends (30%)||30|
|Industry Applications: Linking theory and real-world (40%)||40|
|Lecture: Delivery of material in a lecture format (65%)||65|
|Labs: Demonstrations, experiments, simulations (35%)||35|
|Introductory: Appropriate for a general audience (50%)||50|
|Specialized: Assumes experience in practice area or field (50%)||50|