Dr. Sameoto will provide an overview of several technologies developed by his lab. The techniques combine novel manufacturing processes to produce polymer-based products ranging from gecko-inspired adhesives to stretchable electronics and soft robotics. Combining different research disciplines, including micro- and nanofabrication, with larger scale 3D-printing technologies has opened up new opportunities for the manufacturing of new smart materials, bio-inspired surfaces and wearable electronics. Highlights include direction sensitive adhesives for pick-and-place assembly, mechanically reprogrammable soft robots, and multi-material FDM additive manufacturing processes that can print hard plastics, rubbers and stretchable metal wires in a single part.
Supervisors: Aiping Yu, Chemical Engineering and Michael Fowler, Chemical Engineering
Model based multi-parametric optimization provides a complete map of solutions of an optimization problem as a function of, unknown but bounded, parameters in the model, in a computationally efficient manner, without exhaustively enumerating the entire parameter space. In a Model-based Predictive Control (MPC) framework, multi-parametric optimization can be used to obtain the governing control laws – the optimal control variables as an explicit function of the state variables.
Grad Students: Please join Professor Abukhdeir in the Staff & Faculty Lounge for some coffee/tea*, cookies and conversation.
* Bring your own mug. Coffee, tea and cookies are on us.