Advanced Manufacturing Research

Manufacturing, the transformation of raw materials and components into usable products, is a major contributor to the wealth and prosperity of every industrialized nation. There are endless scientific challenges in this important field, many of which are being addressed by the faculty at Missouri S&T. We are investigating issues in the additive manufacturing of metals, ceramics, polymers and composites, automation and control technologies for process control, advanced metrology solutions for machine tools and robots, advanced modeling for analysis and optimization of process parameters, intelligent human-robot collaboration, cyber-physical sensing, modeling and control. 

Learn more

Interested in discussing the research we are working on or learning more? Please contact:

Douglas Bristow

William E. Walker III Professor/Director of the Center for Aerospace Manufacturing Technologies

Research Interests

Dynamic modeling and control of micro- and nano-positioning systems, atomic force microscopes and additive manufacturing systems; volumetric error compensation; iterative learning control, multi-dimensional control, and signal processing.

Ming Leu

Curator’s Distinguished Professor/Bailey Distinguished Professor/Director of Innovative Smart & Additive Manufacturing Laboratory

Research Interests

Rapid prototyping, additive manufacturing, intelligent manufacturing, virtual reality, CAD/CAM, robotics, mechatronics and automatic control. 

Frank Liou

Bytnar Professor/Director of Manufacturing Engineering Program

Research Interests

Metal additive manufacturing process design, modeling, integration, monitoring, and control; CAD/CAM.

Anthony Okafor

Professor

Research Interests

Manufacturing including machining, metalforming, machine tool dynamics, acoustic emission, sensors and signal processing, CNC, CAD/CAM, machine tool metrology, neural network and expert system applications; smart structures including intelligent health monitoring and damage assessment of composite structures; non-destructive evaluation.