| Title |
Optimization of Lace Tube with Gray Theory and Design of Experiment |
| Authors |
정일갑(Jeong, Ilkab) ; 이동명(Lee, Dongmyung) ; 이상범(Lee, Sangbeom) ; 임진택(Lim, Jintaek) |
| DOI |
https://doi.org/10.5370/KIEE.2016.65.6.1001 |
| Keywords |
Lance tube ; Grey relational analysis ; Design of experiment |
| Abstract |
As consumption of energy is increasing rapidly, energy saving is emphasized in nowadays. Thermal power plant occupies a large proportion in various type of power plant. Major causes of decreased power generation efficiency on thermal power stations is deposition of fly ash. Soot Blower is a facility to remove the ash which is deposited outside of tube by steam blowing on boiler. Residual stream which caused by lance tube in soot blower cannot be discharged steam effectively in lance tube causes reducing the thickness of lance tube. On the contrary, increasing discharge ratio of steam, lance tube cannot sustain proper pressure to remove ash on tube. This study suggests increasing discharge ratio of steam with proper pressure to remove ash on tube by optimization on shape of lance tube nozzle. To optimize shape of nozzle, discharge ratio and maximum blowing pressure on nozzle is selected as object functions. Diameter of nozzle, distance between nozzles, angle of nozzle and gap between nozzle is selected as design parameters. Then the design of experiment (DOE) with an orthogonal array is performed to analyze the effect of design parameters. And grey relational analysis and analysis of mean (ANOM) is performed to optimize shape of lance tube. |