Jeong Yong “David” Kim
Education:
> B.S. in Mechanical Engineering, University of California, Berkeley, 2012
> M.S. in Mechanical Engineering, University of Minnesota, Twin Cities, 2017
> PhD Student in Mechanical Engineering, 2019 – Present
Research Interests:
> Fluidic Artificial Muscles
> Variable Recruitment
Current Research:
> Electrohydraulic Modeling of Variable Recruitment Bundle System
> Design of Variable Recruitment Bundle Actuator and State Transition Strategy
Hobbies:
> Soccer
> Golf
> Judo
Publications:
1. Mazzoleni, Nicholas; Kim, Jeong Yong; Bryant, Matthew., “Motor unit buckling in variable recruitment fluidic artificial muscle bundles: implications and mitigations,” IOPscience, Smart Materials and Structures. (In press)
2. Vemula, Dheeraj; Kim, Jeong Yong; Mazzoleni, Nicholas; Bryant, Matthew. “Design, analysis, and validation of an orderly recruitment valve for bio-inspired fluidic artificial muscles, “ IOPscience, Bioinspiration & Biomimetics. (In press)
3. Kim, Jeong Yong; Mazzoleni, Nicholas; Bryant, Matthew., “Free strain gradient reversal of a variable recruitment fluidic artificial muscle bundle,” SPIE, Smart Structure + Nondestructive Evaluation, 2021.
4. Kim, Jeong Yong; Mazzoleni, Nicholas; Bryant, Matthew., “Modeling of Resistive Forces and Buckling Behavior in Variable Recruitment Fluidic Artificial Muscle Bundles,” MDPI, Actuators, Special Issue: Artificial Muscles and Soft Actuation, 2021.
5. Kim, Jeong Yong; Mazzoleni, Nicholas; Bryant, Matthew., “Development and Demonstration of an Orderly Recruitment Valve for Fluidic Artificial Muscles,” ASME, Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS), 2020.
6. Kim, Jeong Yong; Mazzoleni, Nicholas; Bryant, Matthew., “Investigation of Resistive Forces in Variable Recruitment Fluidic Artificial Muscle Bundles,” SEM, International Modal Analysis Conference (IMAC), 2020.
7. Mazzoleni, Nicholas; Kim, Jeong Yong; Bryant, Matthew., “The effect of resistive forces in variable recruitment fluidic artificial muscle bundles: a configuration study,” SPIE, Smart Structure + Nondestructive Evaluation, 2020.
External Links:
