Automated Author ProfileJerapan Laksameearunotai
Jerapan Laksameearunotai
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: 0.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Ceramic candle filters have been developed as a high temperature particulate collecting system with very high collection efficiency because of their good thermal resistance and chemical corrosion resistance. Understanding of dependence of the filter performance on the operating parameters such as inlet dust concentration and regenerating pulse system will be essential for their engineering and economical design. In the present work we have made use of a small scale dust collector with a single ceramic candle filter to investigate the dependence of pressure drop of clean virgin candle filters and filters with dust load on various operating parameters. A fundamental understanding of the particle transport and deposition processes in the filter chamber would lead to lower investment, reduced risk and ease of operation of the filtration systems. One technique frequently used to simulate velocity distribution applies computational fluid dynamics (CFD). Determination of the parameters involved in the calculation of velocity distribution, was supported by a computer package known as "FLUENT". These results have led to a better understanding of the phenomenon of filtration of gas and dust loading distribution. A differential pressure transmitter is used for monitoring the pressure drop ([Delta]P) across the ceramic filter which is recorded by a data logger. The plot shows the relationship between the pressure drops across the candle and the cycle time. In this case, the activating pressure drop setting on the programmable logic controller (PLC) will be varied from 15 to 35 mm[H[subscript 2]O], with a pulse duration time of 100 ms. Generally, the ceramic candle filter was not perfectly cleaned at the start of an experiment, even though it was exposed to a large number of jet pulses. The deposition of dust on the surface of the filter provided a strong effect on the collection of incoming dust and this phenomenon also affected the initial and residual pressure drop of the system. Trade-off of these two effects should be taken into account and investigated further
Authors
- Jerapan Laksameearunotai