July 15 – 19, 2019Postponed
Golden, Colorado USA

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In 2019, we are excited to be finishing construction of a new additive manufacturing learning lab. Due to logistical delays in hardware setup, we are forced to postpone the 2019 workshop so we can bring all of the new hardware fully online, while also completing the design of an all new curriculum. Please use the form above so we can keep you informed about our progress. And, of course, be sure to check back here for updates.

About this course...

DAM Workshop 2019 is designed to be a hands-on experience for learning Design for Additive Manufacturing (DAM) fundamentals paired with the practical software skills needed to leverage the advantages of additive manufacturing methods. The majority of the workshop will be spent exploring hands-on exercises and case studies with industry-leading software and AM hardware tools — participants will print plastic and metal parts. Modeling and simulation instruction will be complemented by expert talks on contemporary topics in AM, such as machine learning for identifying process-structure-property relationships, AM feedstock and material technology, and building your business case for AM.

Modeling and simulation topics will include:
  • Comprehensive vision for organizing your approach to DAM
  • Fundamentals of topology optimization and exploration in multiple software tools
  • Generative design and consideration of multiple design variants
  • Design of cellular/lattice mesostructures
  • Using lattice to create functionally graded compliance
  • AM build and support planning
  • AM process simulation (plastic and metal)
  • Distortion prediction and compensation
  • Assembly design optimization to reduce part count

Who should attend

DAM Workshop is an intensive, hands-on training program in modeling and simulation tools for mechanical design of additively manufactured parts. Some experience with CAD and/or FEA software products is recommended to take full advantage of workshop content. Product designers, product development engineers, and R&D managers will gain new insights into the tools and workflows currently available to design parts that uniquely leverage the advantages of AM. Business managers contemplating strategic moves in the AM space will have an opportunity to see the landscape of software/hardware infrastructure for DAM and learn a vision for building a winning AM business case.


The Workshop will be led by faculty members of Colorado School of Mines.

Dr. Anthony Petrella is Director of the Computational Biomechanics Group in the Mechanical Engineering Department at Mines. His teaching and research efforts focus on computational methods for mechanical design, including optimization, DOE, and probabilistic analysis. Learn more...

Dr. Craig Brice is Director of the newly established Advanced Manufacturing Program at Mines. He has been working in additive manufacturing for 20 years. Learn more...

Workshop Agenda

An agenda for the Workshop is available. Learn more...

Continuing education credits

Colorado School of Mines will award 2 Continuing Education Credits (CEUs) to participants who complete this Workshop.


The Workshop will be held on the campus of Colorado School of Mines in Golden, Colorado USA. Learn more...


Registration for the Workshop is open now. Enrollment is limited; therefore, applications will be accepted in the order received. Full information about fees, options, and payment methods is available. Learn more...

Travel and Accommodations

Registrants are responsible for their own travel arrangements, transportation, lodging, and evening meals. A continental breakfast and a full lunch will be provided daily at the Workshop. Additional information is available through the links below.

Technical Information

For information about the Workshop content, please contact:

Anthony Petrella
Associate Professor, Mechanical Engineering
Colorado School of Mines
303.324.2420 (mobile)

Registration Information

For general information or registration assistance, please contact:

Continuing and Professional Education Services
Email: Learn@mines.edu
Phone: 303.384.2690