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

Advanced Manufacturing Processes Laboratory

AMPL Members Win Big at NAMRC 25AMPL members participate in hosting SWE Career Day for GirlsCarter Taylor receives prestigious NSF Graduate Research FellowshipDeep Neural Networks in Additive ManufacturingCao earns the inaugural Crown/IIP-Seed Award

AMPL Members Win Big at NAMRC 25

AMPL group members received several awards at the annual flagship manufacturing research conference

AMPL members participate in hosting SWE Career Day for Girls

This Career Day for Girls has a lasting impact on young students by fostering confidence and curiosity about engineering and STEM fields.

Carter Taylor receives prestigious NSF Graduate Research Fellowship

The GRFP provides support for individuals who have demonstrated their potential for significant research achievements in STEM or STEM education.

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.

Cao earns the inaugural Crown/IIP-Seed Award

Seed funding will advance research collaborations between Northwestern and five Israeli institutions

The Advanced Manufacturing Processes Lab (AMPL) develops computer-integrated systems for innovative manufacturing processes, including subtractive, deformation-based, and additive processes. These systems are established based on the fundamental understanding of the multi-physics of material deformation behavior during the process, combined with cost-effective simulation tools, intelligent design algorithms and the implementation of advanced control theories. These open-architecture systems aim at reducing development time, providing manufacturing flexibility, increasing material manufacturability, and reducing manufacturing cost. They are excellent platforms for R&D in innovative manufacturing processes, cyber-physical system integration, the Internet of Things, and cybersecurity.

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