Automated Author ProfileTaehyeung Kim
Taehyeung Kim
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.2 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Foundry is an important industrial process for making metal products in desired shapes especially for complex models that might not be economical to manufacture by other methods. However, the process also generates vast amounts and various types of air pollutants such as odor-causing volatile organic compounds (e.g., hydrogen sulfide, ammonia, etc.) and particulate matters. Therefore, development of technique that can efficiently eliminate these emissions released from the process is regarded as an essential research. For the purpose to simulate an existing pollution control system, in this study, a spray adsorption system was designed to work with a bag filter so as to remove total volatile organic compounds (TVOCs) and dust particles simultaneously actually emitted from the de-molding process of a foundry plant. Maximization of process efficiency, by finding optimum blend ratio of deodorant powders selected i.e. activated carbon (AC) and zeolite (ZL), was the focus of this research. Seven mixing ratios of AC and ZL were tested in several conditions. Through the experiments, TVOCs removal efficiency of more than 95% for all conditions was obtained from the adsorbent that composed of 80% AC (800 mesh) and 20% ZL (300 mesh) by mass.
Authors
- Kritana Prueksakorn ;
- Taehyeung Kim ;
- Choijae Young ;
- Rongbin Xu ;
- Hyunchul Ha
Foundry is an important industrial process for making metal products in desired shapes especially for complex models that might not be economical to manufacture by other methods. However, the process also generates vast amounts and various types of air pollutants such as odor-causing volatile organic compounds (e.g., hydrogen sulfide, ammonia, etc.) and particulate matters. Therefore, development of technique that can efficiently eliminate these emissions released from the process is regarded as an essential research. For the purpose to simulate an existing pollution control system, in this study, a spray adsorption system was designed to work with a bag filter so as to remove total volatile organic compounds (TVOCs) and dust particles simultaneously actually emitted from the de-molding process of a foundry plant. Maximization of process efficiency, by finding optimum blend ratio of deodorant powders selected i.e. activated carbon (AC) and zeolite (ZL), was the focus of this research. Seven mixing ratios of AC and ZL were tested in several conditions. Through the experiments, TVOCs removal efficiency of more than 95% for all conditions was obtained from the adsorbent that composed of 80% AC (800 mesh) and 20% ZL (300 mesh) by mass.
Authors
- Kritana Prueksakorn ;
- Taehyeung Kim ;
- Choijae Young ;
- Rongbin Xu ;
- Hyunchul Ha