• Journal of Korean Society for Quality Management
• /
• v.31 no.4
• /
• pp.150-163
• /
• 2003

The purpose of this paper is to propose an interactive method using the concept of Signal­to­Noise (SN) ratios and cutting ranges for selecting the most preferred alternatives of Multiple­attribute Decision­Making(MADM) with the­smaller­the­better or the­larger­the­better characteristics. In this method the decision makers could make a grouping of attributes by their priorities. This research is based on the assumption of an equality between the attributes of MADM with the characteristics of Taguchi method. As a result, this interactive method could transform the characteristic value of Taguchi method into the size of SN ratios which are relatively easy to understand by decision makers.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.22 no.3
• /
• pp.171-178
• /
• 2014

From now on, in order to meet more stringer diesel emission standard, diesel vehicle should be equipped with emission after-treatment devices as NOx reduction catalyst and particulate filters. Urea-SCR is being developed as the most efficient method of reducing NOx emissions in the after-treatment devices of diesel engines, and recent studies have begun to mount the urea-SCR device for diesel passenger cars and light duty vehicles. That is because their operational characteristics are quite different from heavy duty vehicles, urea solution injection should be changed with other conditions. Therefore, the number and diameter of the nozzle, injection directions, mounting positions in front of the catalytic converter are important design factors. In this study, major design parameters concerning urea solution injection in front of SCR are optimized by using a CFD analysis and Taguchi method. The computational prediction of internal flow and spray characteristics in front of SCR was carried out by using STAR-CCM+7.06 code that used to evaluate $NH_3$ uniformity index($NH_3$ UI). The design parameters are optimized by using the $L_{16}$ orthogonal array and small-the-better characteristics of the Taguchi method. As a result, the optimal values are confirmed to be valid in 95% confidence and 5% significance level through analysis of variance(ANOVA). The compared maximize $NH_3$ UI and activation time($NH_3$ UI 0.82) are numerically confirmed that the optimal model provides better conversion efficiency of $NH_3$. In addition, we propose a method to minimize wall-wetting around the urea injector in order to prevent injector blocks caused by solid urea loading. Consequently, the thickness reduction of fluid film in front of mixer is numerically confirmed through the mounting mixer and correcting injection direction by using the trial and error method.

• Applied Chemistry for Engineering
• /
• v.30 no.4
• /
• pp.487-492
• /
• 2019

Nano flexible vesicles encapsulating an adenosine, an active ingredient for anti-wrinkle, were prepared for the transdermal delivery. The nano flexible vesicle is usually composed of phospholipid, ethanol, and lysolecithin, which is a type of liquid crystalline one made by dispersing the liquid crystalline phase formed through a hydration process into a water phase. In this study, the Taguchi method, one of the experimental design methods, was applied to investigate the factors affecting the vesicle droplet size. Signal to noise (S/N) ratios for the smaller the better characteristics of vesicle droplet size were calculated using the Taguchi orthogonal array. The composition of ethanol and lysolecithin in the vesicle constituents and the amount of aqueous solution added in the hydration process were main factors that had a great effect on the vesicle droplet size and ANOVA test showed that these factors were significant at 95% confidence level.