Northwestern University Robert R. McCormick School of Engineering and Applied Science

Advanced Manufacturing Processes Laboratory

2019 NSF Graduate Research Fellowship Awarded to Samantha WebstermHUB and Northwestern’s NIMSI, Host Women in Manufacturing DayCao Named AAAS FellowLS-DYNA® MAT_COMPRF (MAT_293)Department of Defense’s Most Prestigious Single-Investigator AwardDeep Neural Networks in Additive Manufacturing

2019 NSF Graduate Research Fellowship Awarded to Samantha Webster

This prestigious Fellowship recognizes and supports outstanding graduate students in NSF-supported science, technology, engineering, and mathematics disciplines.

mHUB and Northwestern’s NIMSI, Host Women in Manufacturing Day

With support from the National Science Foundation, the event celebrated and convened women in manufacturing.

Cao Named AAAS Fellow

This high honor is in recognition for her distinguished efforts to advance science or its applications

LS-DYNA® MAT_COMPRF (MAT_293)

AMPL has developed a non-orthogonal material model of woven composites in the preforming process.

Department of Defense’s Most Prestigious Single-Investigator Award

Prof. Cao recognized for research in areas of importance to the DoD. This single investigator award includes a $3 million, five-year grant to fund cutting-edge research.

Deep Neural Networks in Additive Manufacturing

AMPL in collaboration with CUCIS has developed a deep Recurrent Neural Network (RNN) structure to accurately predict AM thermal properties with high temporal and spatial resolutions.

Our prime research interests are to develop computer-integrated systems for innovative manufacturing processes, including subtractive, deformation-based, and additive processes. These systems will be established based on the understanding of the multi-physics of material deformation combined with cost-effective simulation tools, intelligent design algorithms and the implementation of advanced control theories. The systems aim at reducing development time, providing manufacturing flexibility, and reducing manufacturing cost.

Through our research platform, we provide an excellent training ground for our undergraduate and graduate students, postdoctoral fellows, and visiting scholars to advance their critical thinking skills, to gain independent research capabilities, to build-up collaborative team-work experience and to become responsible citizens.