Jiadi Z
- Research Program Mentor
PhD candidate at University of Michigan - Ann Arbor
Expertise
Design and Manufacturing, 3D printing, Modeling and Control
Bio
I'm a PhD student at the University of Michigan studying Aerospace Engineering. During the first two years of my university I was studying Mechanical Engineering in Shanghai Jiao Tong University. Then I came to UM for the next two years to study Aerospace Engineering. After finishing my master study in Mechanical Engineering I decided to pursue a PhD in control area. I've been a teaching assistant for College Physics and Design and Manufacturing. I have experience in both design and control. I can help students who have engineering problems or physical questions, especially for those who are interested in 3-D printing or arduino/Matlab programming.Project ideas
Biomimetic jellyfish project
Biomimetic jellyfish project based on soft robotics and shape memory alloys. Demonstrate a new approach to the design of a synthetic jelly sh that imitates the morphology and kinematics of the actual animal. This robot will consist of a soft silicone rubber disk with an embedded pre-stretched SMA spring along its circumference, which when heated contracts to initiate large shape changes in the structure.
A 3-D automatic system for solid powder dispensing, weighing, and mixing.
Design and build an automatic system for solid powder dispensing, weighing, and mixing. The moving parts of the dispenser will be similar to a 3-D printer and would dispense the powder automatically to the base holder.
An automatic controlled vehicle with deformable wheels and a 4-DOF manipulator.
Make a vehicle with deformable wheels that could walk on sands and go through tunnels. The manipulator could be controlled to grab the target object.
A remote controlled grabbing machine based on soft robotics and 3-D printing.
Make a remote controlled grabbing machine that could grab small items with different shapes and sizes.
Modeling and controlling of a hybrid powered Mini Air Vehicle (MAV)
- Determine the effectiveness of a fuel cell-battery hybrid engine on an MAV’s performance. - Optimize the energy management decisions of the MAV’s hybrid engine.