ABOUT THE COURSE

Additive Manufacturing for Innovative Design and Production is an online course tailored for manufacturing professionals from engineers to executives. Led by MIT Professor John Hart and featuring dozens of expert contributors, the course presents the technical foundation of AM, explains how to design parts for AM using advanced digital tools, and equips learners with the knowledge and confidence to identify and evaluate applications of AM. The course concludes with an in-depth case study, where you will solve a real-world design or business strategy problem using your newly acquired AM expertise.

This course reflects MIT’s standards of technically comprehensive, rigorous instruction, while placing heavy emphasis on real-world uses of AM and its practical implications.

LEARNING OUTCOMES

At the end of this course, you will:

• Understand the fundamental principles and workflow for AM of polymers, metals, and composites, and how these principles govern the performance and limitations of each mainstream AM process.
• Acquire the vocabulary necessary to navigate the complex, multivariate landscape of additive manufacturing equipment, materials, and applications.
• Learn to identify how, when, and where AM can create value across the entire product lifecycle, from design concepts to end-of-life; and how to select an AM process and material for a specific application.
• Acquire the skills necessary to design parts for AM that combine engineering intuition with computationally-driven design and process-specific constraints.
• Quantitatively assess the value of an additively manufactured part based on its production cost and performance.
• Evaluate the business case for transitioning a product to be made using AM versus the conventional approach, either in part or in whole.
• Develop a cutting-edge perspective on digital transformation and the factory of the future.

In the design section and (optionally) in the case study, learners use Onshape’s cloud-based CAD platform and cloud-based generative design software for topology optimization. However, previous CAD experience is not necessary to complete the course.

Enrollment for the February 25, 2019 course now open. Enroll today!

To learn more about these tools and watch videos from the course, download the official course guide or watch a pre-recorded webinar, featuring a Q&A with Professor John Hart.