ENME 416 - Additive Manufacturing

3 Credits



Ian Gibson et al., Additive Manufacturing Technologies: 3D Printing, Rapid Prototyping, and Direct Digital Manufacturing, Springer, 2015, ISBN 9781493921126.
Andreas Gebhardt, Understanding Additive Manufacturing, Hanser, 2011, ISBN 9783446425521.


ENME 272
ENME 331


Develop a comprehensive understanding of fundamental additive manufacturing – alternatively, “three-dimensional (3D) printing” – approaches, including extrusion-based deposition, stereolithography, powder bed-based melting, and inkjet-based deposition. Cultivate a “design-for-additive manufacturing” skillset for combining computer-aided design (CAD) and computer-aided manufacturing (CAM) methodologies to produce successful 3D prints. Fabricate 3D mechanical objects using a variety of 3D printing technologies on campus. Execute a design project that demonstrates how additive manufacturing technologies can overcome critical limitations of traditional manufacturing processes.


  • Week 1: Course Overview and Goals; Historical Review of General Manufacturing
  • Week 2: Computer-Aided Design (CAD)
  • Week 3: Computer-Aided Manufacturing (CAM)
  • Week 4: Extrusion-Based Deposition
  • Week 5: Stereolithography (SLA)
  • Week 6: Inkjet-Based Deposition
  • Week 7: Powder Bed-Based Melting; Standard Post-Processing
  • Week 8: Team Project Proposal Presentations
  • Week 9: Midterm Exam; Advanced Post-Processing
  • Week 10: 3D Meshing Optimization; Open-Source / 3D Model Sharing
  • Week 11: 4D Printing
  • Week 12: Additive Manufacturing for Industrial Applications; Additive Manufacturing for Research Applications
  • Week 13: Analyzing and Presenting Research; Peer Review; Additive Manufacturing for Consumer Applications
  • Week 14: Additive Manufacturing for Sustainability Applications; Team Project “Conference-Style” Oral Presentations
  • Week 15: Team Project “Conference-Style” Oral Presentations

Learning Outcomes 

  • an ability to design and conduct experiments, as well as to analyze and interpret data
  • an ability to function on multi-disciplinary teams
  • an ability to identify, formulate, and solve engineering problems
  • an understanding of professional and ethical responsibility
  • an ability to communicate effectively
  • a knowledge of contemporary issues
  • an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice

Class/Laboratory Schedule 

  • Three 50 minute lectures per week

Last Updated By 
Ryan Sochol, June 2017