Young Shin KIM

Dr. Young Shin KIM

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 July 2023 in Polymers
Verified
Journal Article
Open access
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WSWonSeok Seok
WonSeok Seok
EJEuy Sik Jeon
Euy Sik Jeon
YKYoung Shin KIM
Young Shin KIM
This study investigates the effect of annealing on the mechanical properties of fused deposition modeling (FDM) 3D-printed recycled carbon fiber (rCF)-reinforced composites. In this study, filaments for FDM 3D printers are self-fabricated from pure acrylonitrile butadiene styrene (ABS) and ABS reinforced with fiber content of 10 wt% and 20 wt% rCF. This study explores the tensile and flexural properties as a function of the annealing temperature and time for the three different fiber content values. In addition, dimensional measurements of the shape changes are performed to determine the suitability of applying annealing in practical manufacturing processes. The results show that annealing improves the mechanical properties by narrowing the voids between the beads, which occur during the FDM process, and by reducing the gaps between the fibers and polymer. Following annealing, the largest tensile and flexural strength improvements are 12.64% and 42.33%, respectively, for the 20 wt% rCF content samples. Moreover, compared with the pure ABS samples, the annealing effect improves the mechanical properties of the rCF-reinforced samples more effectively, and they have higher dimensional stability, indicating their suitability for annealing. These results are expected to expand the application fields of rCF and greatly increase the potential use of FDM-printed parts.

19 September 2019 in Materials
Verified
Journal Article
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YKYoung Shin KIM
Young Shin KIM
JKJae Kyung Kim
Jae Kyung Kim
EJEuy Sik Jeon
Euy Sik Jeon
Among the composite manufacturing methods, injection molding has higher time efficiency and improved processability. The production of composites via injection molding requires a pre-process to mix and pelletize the matrix polymer and reinforcement material. Herein, we studied the effect of extrusion process conditions for making pellets on the mechanical and thermal properties provided by injection molding. Polyamide 6 (PA6) was used as the base, and composites were produced by blending carbon fibers and Al2O3 as the filler. To determine the optimum blending ratio, the mechanical properties, thermal conductivity, and melt flow index (MI) were measured at various blending ratios. With this optimum blending ratio, pellets were produced by changing the temperature and RPM conditions, which are major process variables during compounding. Samples were fabricated by applying the same injection conditions, and the mechanical strength, MI values, and thermal properties were measured. The mechanical strength increased slightly as the temperature and RPM increased, and the MI and thermal conductivity also increased. The results of this study can be used as a basis for specifying the conditions of the mixing and compounding process such that the desired mechanical and thermal properties are obtained.

2 February 2022 in Applied Sciences
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Journal Article
Open access
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SNSeung Jun Na
Seung Jun Na
YKYoung Shin KIM
Young Shin KIM
EJEuy Sik Jeon
Euy Sik Jeon
A slurry pump is a device used to transport slurry, which is a mixture of solids and liquids. The slurry pump is subjected to physical erosion, generally resulting from erosion by friction between the solid and liquid particles. This study aimed to analyze the effects of process parameters on the erosion wear of a throat bush, which is the main component of a slurry pump. The erosion rate density (E) was analyzed based on the process parameters, that is, the slurry particle diameter, rotation speed of the impeller, and gap between the impeller and the throat bush. The discrete phase model (DPM) of the slurry pump was simulated using the process parameters. These parameters were optimized to minimize the erosion rate density. The optimization method using design of experiments (DOE) to derive a specific location with the greatest influence of the design variables through the one-way layout method and optimize the response value at that location is a method that efficiently analyzes a large number of cases. The optimization results confirmed that the erosion rate density was reduced in the optimization model compared with the earlier model.

1 January 2016 in Microelectronics Reliability
Verified
Journal Article
Closed access
YKYoung Shin KIM
Young Shin KIM
SKSeok-Cheol Ko
Seok-Cheol Ko

1 July 2018 in European Journal of Medicinal Chemistry
Verified
Journal Article
Closed access
ABAkash Basak
Akash Basak
YAYasmeen Abouelhassan
Yasmeen Abouelhassan
YKYoung Shin KIM
Young Shin KIM
VNVerrill M. Norwood
Verrill M. Norwood
SJShouguang Jin
Shouguang Jin
RIRobert W. Huigens III
Robert W. Huigens III