Soobum Lee, Department of Mechanical Engineering
The PI (Soobum Lee) developed a Matlab-Simulink based tool for a structural logic assembly which aims at structural system analysis/design for modern military platforms and buildings to adapt to varying loads and simultaneously exhibit both high stiffness and high damping. This tool finds the optimal solution using genetic algorithm which requires plenty of function analysis, and HPC facility will help speeding up this design task. Usage Level: About a week run by parallel computing w/ 5 cores will find an optimum solution. May require multiple runs.
Topology optimization for Additive manufacturing and null balancing
Soobum Lee, Department of Mechanical Engineering
Myung Kyun Sung, Department of Mechanical Engineering
Kangsoo Lee, Department of Mechanical Engineering
Topology optimization is the one of the powerful design tools in structural engineering field. In topology optimization, given boundary conditions and material properties, an engineer can obtain the best shape of the structures. Additive manufacturing is the one of the hottest issue recently, because of development of 3D printing industry. Especially in additive manufacturing, lots of questions are arising about how to apply the topology optimization. Already some researchers are applied topology optimization to minimize the supporting material and to save the potential weight without reduction of the original performance. Also to make the product perfectly, topology optimization could be the answer. Also topology optimization can give the answer for specific geometric problem. One is the maximizing the displacement. When we disassemble the scale, we can see the balance component that check the balance. It is a kind of lever which using the displacement. By applying topology optimization, we can get the new shape lever.