1. 于航，姜伟，张博 田益凡，郑奇威

2. Agenda Motivation and object of the experiment Selection of factors Definition of response variable Design of experiment Analysis of experiment Conclusion Shortcomings and future extension

3. Motivation And Object Study the washing process and try to find the satisfied optimal settings of parameters to make the washing process efficient and effective

4. Selection Of Factors Held constant factors Category and amount of blots (black ink) Category and amount of washing powders (DiaoPai) Category of wash (cotton) Dimension of wash (20×20mm) Method of washing (marinating) Design factors Quantity of water Time Initial temperature

5. Range And Levels Of Design Factors NumberFactorsRangeActual LevelsCoded level Type of Factor 1 Quantity of water (600ml- 1200ml) 600 900 1200 0 +1 Quantitative 2Time (10min- 30min) 10 20 30 0 +1 Quantitative 3Initial temperature (20 ℃ -50 ℃ )20 ℃ 35 ℃ 50 ℃ 0 +1 Quantitative

6. Definition Of Response Variable UnsatisfiedNeutralSatisfied 123456789

7. Design Of Experiment Choice of design Response surface methodology central composite design Number of replicates Only one replicate is performed

8. Design Of Experiment(cont’d) numberTemperatureWater quantityTime(min)ABC 12060010 250600101 3201200101 45012001011 52060030 1 6506003011 72012003011 850120030111 91090020-1.6817900 1060900201.6817900 1135395200-1.681790 123514052001.681790 1335900300-1.68179 143590037001.68179 153590020000 163590020000 173590020000 183590020000 193590020000 3590020000

9. Experiment Implementation 标准序运行序 PtType 区组 ABC 效果 1111 1 22111 5 3311 1 1 441111 3 5511 14 66111 17 7711 112 88111116 99 1-1.68179001 10 11.681793007 11 10-1.6817905 12 101.68179302 13 100-1.681791 14 1001.6817936 15 010004 16 010003 17 010004 18 010004 19 010005 20 010004

10. Experiment Analysis

11. 标准序运行序 PtType 区组 ABC 效果 （效果） 变换 1111 11.00 22111 52.24 33111 11.00 44111131.73 5511 142.00 66111172.65 77111121.41 881111162.45 991-1.681790011.00 10 11.6817930072.65 11 10-1.68179052.24 12 101.681793021.41 13 100-1.6817911.00 14 1001.68179362.45 15 0100042.00 16 0100031.73 17 0100042.00 18 0100042.00 19 0100052.24 20 0100042.00 Experiment Analysis

12. Experiment Analysis(cont’d)

16. R^0.5=(1.86+0.47A-0.20B+0.36C) Experiment Analysis(cont’d)

18. Conclusion In order to maximize the response variable, we need to: Maximize A Minimize B Maximize C However, the values of A, B and C should be within the feasible region, that is we also have to take other constrains into our con sideration: High temperature can do damage to the clothes Marinate too long may result in bad smell Economy reasons

19. Shortcomings and future extension Shortcomings Without considering economical factors Single blot Simple evaluation system Fixed ranges of parameters Future extension Extend range of blots Perfect the evaluation system Extend the experiment parameter range

20. THANK YOU!