Additive manufacturing (AM) research at CMU is internationally recognized for excellence and leverages artificial intelligence (AI) and machine learning to advance the technology and improve processes and outcomes. The largest focus is on metals 3D printing with additional research in 3D printing of soft, polymer, electronic, and biological materials.

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Learn about which MFI researchers are working on additive manufacturing research.

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View our advanced additive manufacturing projects.

Related news

AI generates missing parts of temperature distribution

Researchers have found a way to reconstruct the complete temperature profile in real time using only the partial data available from in situ sensors used in additive manufacturing.

Interdisciplinary team partners to develop advanced alloys Opens in new window

Materials science and engineering and chemical engineering faculty will collaborate on projects supported by the Naval Nuclear Laboratory to create additively manufactured structural alloys that can sustain extreme environments.

Understanding the 3D ice-printing process to create micro-scale structures Opens in new window

Researchers at Carnegie Mellon University develop numerical models that enable precise control of the 3D ice printing process for biomedical and manufacturing applications.

NASA mentor guides student’s career trajectory Opens in new window

Campus research experience, NASA internship, and advice from a mentor propel material science and engineering student, Lauren Fitzwater, to pursue a minor in additive manufacturing.

Undergraduates present research at Meeting of the Minds 2024 Opens in new window

Engineering undergraduate students had a wonderful showing at Meeting of the Minds, displaying posters, giving presentations, and demonstrating projects they have worked on this past academic year.

These defects are not to be mistaken as scratches Opens in new window

Shrinkage porosity, a common defect in metal castings, has been identified in laser powder bed fusion additive manufacturing.

AI accelerates process design for 3D printing metal alloys Opens in new window

Researchers use AI and high-speed in-situ imaging to optimize process parameters for 3D printing metal alloys.

Scaling in-situ process monitoring to qualify AM parts Opens in new window

Mechanical Engineering alumnus Luke Scime uses artificial intelligence in the development of Peregrine, a process monitoring software stack to qualify additive manufactured parts at the U.S. national laboratories.

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