Namjung Kim
University of Illinois at Urbana–Champaign
9 Papers
7 Citations
Namjung Kim is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Apoptosis & Die casting. The author has an hindex of 6, co-authored 9 publications.
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Papers
Improving surface roughness of additively manufactured parts using a photopolymerization model and multi-objective particle swarm optimization
TL;DR: In this article, a multi-objective particle swarm optimization algorithm is employed to suggest the optimal PμSL process parameters (photo-initiator and photo-absorber concentrations, layer thickness, and curing time) that minimize printing time and surface roughness.
33
MEMS mass sensors with uniform sensitivity for monitoring cellular apoptosis
Kidong Park,Larry J. Millet,Namjung Kim,Huan Li,K. J. Hsia,Narayana R. Aluru,Rashid Bashir +6 more
- 05 Jun 2011
TL;DR: It is demonstrated that for these adherent single cells, the cell growth rate increases with call mass, i.e. larger cells grow faster, and that growth rate is determined by the amount of the ribosomal machinery, which doubles during the cell cycle.
6
Effect of intermolecular force on the static/dynamic behaviour of M/NEM devices.
Namjung Kim,Narayana R. Aluru +1 more
TL;DR: The results show that accurate predictions for the pull-in behaviour are possible when the Lifshitz formula is used instead of the idealized expressions for Casimir effects, and this study expands this study into the dynamics of M/NEM devices, so that the time and frequency responded can be explored.
6
Virtually-guided certification with uncertainty quantification applied to die casting
Shantanu Shahane,Soham S. Mujumdar,Namjung Kim,Pikee Priya,Narayana R. Aluru,Placid M. Ferreira,Shiv Gopal Kapoor,Surya Pratap Vanka +7 more
- 18 Jul 2018
TL;DR: A framework to simulate the effect of stochastic variation together with verification, validation, and uncertainty quantification is proposed, which enhances the utility of traditional numerical simulations used in die casting to have a better prediction of product quality.
Simulations of Die Casting With Uncertainty Quantification
Shantanu Shahane,Soham S. Mujumdar,Namjung Kim,Pikee Priya,Narayana R. Aluru,Placid M. Ferreira,Shiv Gopal Kapoor,Surya Pratap Vanka +7 more
TL;DR: In this article, a framework to simulate the effect of stochastic variation together with verification, validation, and uncertainty quantification (UQ) is proposed, which includes high-speed numerical simulations of solidification, microstructure, and mechanical properties prediction models along with experimental inputs for calibration and validation.