ME714 GENERATIVE DESIGN FOR DIGITAL MANUFACTURING

Course Code:5690714
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:8.0
Department:Mechanical Engineering
Language of Instruction:English
Level of Study:Graduate
Course Coordinator:Assoc.Prof.Dr. ULAŞ YAMAN
Offered Semester:Fall and Spring Semesters.

Course Objectives

At the end of the course, the students are expected to 

  • gain an understanding of additive manufacturing technologies and their advantages and drawbacks,
  • understand geometric representations for digital manufacturing,
  • acquire understanding of programmatic form expression in STL, OBJ, Grasshopper, Mesh Files, G-code, and Point Clouds,
  • understand fundamentals of generative design,
  • understand performance-driven design workflow,
  • learn to apply different versions of customization to digital products,
  • learn how to mass customize designs using parametric models, and
  • use mathematical and computational principles to address design and manufacturing problems

Course Content

Introduction to digital fabrication methods. Design and fabrication pipelines. Geometric representations. Generative design. Topology optimization. Performance-driven design. Artificial intelligence for design and manufacturing. Mass customization.


Course Learning Outcomes

Student, who passed the course satisfactorily will be able to

  • develop smart design and manufacturing pipelines for additive manufacturing technologies,
  • design objects using topology optimization methods,
  • use Artificial Intelligence tools for design and manufacturing, and
  • design and manufacture customized objects using digital manufacturing.